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Tytuł:
Water Status of Polylepis Forests Related to Altitudinal Gradient, Microclimate Variables and Slope
Autorzy:
Yaranga, Raúl
Arizapana, Marco
Orellana, Edith
Pariona, Victor
Castañeda, Italo
Powiązania:
https://bibliotekanauki.pl/articles/1839298.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
microclimate
NDVI
Polylepis
water status
Opis:
The Polylepis forests in the central Andes of Peru remain in hostile environments due to their location above 4000 meters of altitude. They are home to a great biodiversity with a high level of endemism and are extremely vulnerable to climate change and human pressure. Variations in rainfall and temperature have been affecting plant health. These aspects have led to the analysis of the physiological response of plants through water stress and NDVI, in dry periods and related to altitudinal gradients and slope, of five forests located in the regions of Junin and Lima, where the species Polylepis rodolfo vasquezii, P. canoi and P. flavilpila are found. Seven 15 x 21 m plots and 10 sub-plots were established, distributed in the lower, middle and upper parts of the forest. The water potential of leaflets was measured by a Scholander pressure pump in a Pascale unit, microclimate variations by means of installed soil and air humidity and temperature sensors; the NDVI by means of multispectral images captured by an unmanned airborne vehicle. Water stress was different among species and changed according to the altitudinal gradient, soil hydrological variation and temperature. Leaflet size adaptation related to stress changes and a high correlation of NDVI with plant stress status were observed.
Źródło:
Journal of Ecological Engineering; 2021, 22, 3; 151-160
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determining the burnt area based on digital processing and image analysis
Autorzy:
Szajewska, A.
Powiązania:
https://bibliotekanauki.pl/articles/973075.pdf
Data publikacji:
2017
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
burnt area analysis
external fire
NDVI
Opis:
The paper presents the evaluation of the possibility to apply the Normalized Difference Vegetation Index (NDVI) to determine the burned area using the machine vision method. Digital analysis to determine the NDVI has been based on images obtained by transducers in visible light and near infrared (NIR). Under appropriate conditions, the described method offers an alternative to the existing methods of observation and manual measurement. As great progress has been made in the field of unmanned aerial vehicle data acquisition, the method described constitutes a possible solution especially in cases when evaluation of loss assessment caused by external fires is supposed to be prepared.
Źródło:
Measurement Automation Monitoring; 2017, 63, 4; 128-130
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of Vegetation as a Habitat Factor in Hunting Ground Based on Satellite Images
Autorzy:
Kovačević, Milutin
Marković, Vladimir
Ponjiger, Igor
Ristić, Zoran
Matejević, Milosava
Stojsavljević, Rastislav
Stamenković, Igor
Powiązania:
https://bibliotekanauki.pl/articles/1811772.pdf
Data publikacji:
2019
Wydawca:
Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:
habitat evaluation
vegetation
GIS
NDVI
hunting ground
Opis:
Recent researches have determined that vegetation is one of the essential factors for game habitat quality. Vegetation is important in the form of the following components: as a food supplier, as a shelter provider, as the creator and regulator of the micro-climate of the habitat, etc. Past practice has shown that the classical methods for evaluating habitat factors involve a lot of subjectivity and often lead to an unrealistic estimate of hunting ground capacity that can affect sustainable game management. Instead of the classical analyses, paper proposes assessment of this factor using Geographic Information System (GIS). NDVI – normalized difference vegetation index is a graphical indicator that can be used to analyze images obtained by remote sensing and is used for these purposes. The researched area was hunting ground "Kapetanski rit" – Kanjiža, Serbia. In order to assess the vegetation factor, the analysis of satellite images is done for two periods of the year (May and December/January). In May the game prepares shelters for bringing an offspring and the period December/January is taken as part of the year when vegetation coverage is minimal due to winter and game is in need of additional food and shelter. Based on the results and maps, the user of the hunting ground can have a clearer view of the vegetation types and distribution, hence assistance in planning and analyzing the territorial distribution of the game. Comparing classical methods for evaluating vegetation and the use of GIS for this purpose shows the advantages of new improved GIS methodology.
Źródło:
Rocznik Ochrona Środowiska; 2019, Tom 21, cz. 1; 85-97
1506-218X
Pojawia się w:
Rocznik Ochrona Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rule-based Classification of Airborne Laser Scanner Data for Automatic Extraction of 3D Objects in the Urban Area
Autorzy:
Bui, Ngoc Quy
Le, Dinh Hien
Duong, Anh Quan
Nguyen, Quoc Long
Powiązania:
https://bibliotekanauki.pl/articles/2019227.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
point cloud
Lidar data
NDVI index
classification algorithms
3D city
chmura punktów
indeks NDVI
algorytm klasyfikacji
Opis:
LiDAR technology has been widely adopted as a proper method for land cover classification. Recently with the development of technology, LiDAR systems can now capture high-resolution multispectral bands images with high-density LiDAR point cloud simultaneously. Therefore, it opens new opportunities for more precise automatic land-use classification methods by utilizing LiDAR data. This article introduces a combining technique of point cloud classification algorithms. The algorithms include ground detection, building detection, and close point classification - the classification is based on point clouds’ attributes. The main attributes are heigh, intensity, and NDVI index calculated from 4 bands of colors extracted from multispectral images for each point. Data of the Leica City Mapper LiDAR system in an area of 80 ha in Quang Xuong town, Thanh Hoa province, Vietnam was used to deploy the classification. The data is classified into eight different types of land use consist of asphalt road, other ground, low vegetation, medium vegetation, high vegetation, building, water, and other objects. The classification workflow was implemented in the TerraSolid suite, with the result of the automation process came out with 97% overall accuracy of classification points. The classified point cloud is used in a workflow to create a 3D city model LoD2 (Level of Detail) afterward.
Źródło:
Inżynieria Mineralna; 2021, 2; 103--114
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Study of Climate Impact on Vegetation Cover in Kherson Oblast (Ukraine) Using Normalized Difference and Enhanced Vegetation Indices
Autorzy:
Lykhovyd, Pavlo
Powiązania:
https://bibliotekanauki.pl/articles/1838338.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
MODIS NDVI
MODIS EVI
vegetation cover
local meteorology
Opis:
Remote sensing is a convenient tool for the study of vegetation cover conditions and dynamics using normalized difference and enhanced vegetation indices. Determination of the connection between weather and vegetation indices plays an important role in better understanding peculiarities of ecosystems reaction to changing climate conditions. The study devoted to the evaluation of annual and long-term dynamics under vegetation cover conditions, and its reaction to the climate factor, was performed through the establishment of the link between remote sensing information (smoothed time series data on normalized and enhanced vegetation indices) and results of on-land hydrometeorological observations for air temperature and precipitation amounts in Kherson oblast of Ukraine during the period from 2012 to 2019 by the means of linear regression analysis of the data. The values of the studied vegetation indices (Terrain MODIS NDVI and MODIS EVI 250 m smoothed time series) were calculated and generalized by the means of GDAL raster analysis toolkit in QGIS 3.10. Statistical data processing was performed using BioStat v7 software. It was found that there is a strong tendency towards the enhancement of vegetation in the region year by year. Climate has strong effect on the vegetation, and the main input belongs to air temperature, while precipitation amounts cannot be considered as a driving force of changes in the growth of vegetation. Enhanced vegetation index seems to be more reliable for the estimation of vegetation cover conditions in comparison to normalized difference vegetation index.
Źródło:
Journal of Ecological Engineering; 2021, 22, 6; 126-135
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Crop production intensity and haNDVI indicator – amplitude of NDVI related to harvest
Autorzy:
Łopatka, Artur
Koza, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/2147933.pdf
Data publikacji:
2020-11-30
Wydawca:
Instytut Uprawy Nawożenia i Gleboznawstwa – Państwowy Instytut Badawczy
Tematy:
remote sensing
NDVI
nitrogen fertilizers
Sentinel
MODIS
Opis:
In response to the growing needs of spatial recognition of the intensity of agricultural crop production, a new haNDVI indicator was developed, that measures the amplitude of the NDVI indicator related to the harvest. The proposed way of calculating haNDVI is to use the minimum and maximum functions for the raster layers set from the growing season. This avoids the need for preliminary classification of crops, including to determine the moment of harvest. It has been shown that the haNDVI indicator calculated on aggregated NDVI layers with a resolution of 1 km is correlated with soil quality indexes, NPK fertilization intensity (r = 0.69) and the share of crops in the total area (r = 0.86) for municipalities. The properties of the haNDVI indicator make it particularly useful for the initial, rapid scanning of environmental quality in terms of the intensity of plant production and indicating the hazards locations associated with the use of fertilizers and plant protection products.
Źródło:
Polish Journal of Agronomy; 2020, 42; 24-33
2081-2787
Pojawia się w:
Polish Journal of Agronomy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Use of high spatial resolution satellite data for monitoring and characterization of drought conditions in the Northwestern Algeria
Autorzy:
Abbes, M.
Hammed, A.
Lafrid, A.
Mahi, H.
Nehal, L.
Powiązania:
https://bibliotekanauki.pl/articles/89204.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
Tematy:
drought
Northwestern Algeria
SPI
NDVI
linear regression
satellite imagery
Opis:
Over the last decades, Algeria has witnessed intense and persistent drought periods characterized by a significant rainfall deficit. The Northwestern Algeria, such as the most south Mediterranean regions, is marked by alternating wet and dry periods and mixing between Atlantic and Mediterranean airs. In a climate context increasingly disturbed by anthropogenic activities, it is essential to analyze the dry episodes at spatial and temporal scales. In order to understand this problem, this work aims to use the potential of Landsat satellite imagery for monitoring drought conditions in the Cheliff watershed in the northwestern Algeria. As known, the behavior of vegetation is strongly related to climate changes. On this basis, a comparison of the variations in the standardized normalized difference vegetation index (NDVI) and those of the drought indices calculated from meteorological data was implemented. In fact, the rainfall series from fifty meteorological stations were analyzed. The standardized precipitation index (SPI) was calculated for the years 1987, 2000, 2006, 2011 and 2015, corresponding to the acquisition dates of Landsat images. Similarly, an extraction of the NDVI values was performed for each meteorological station. The linear regression between SPI and NDVI showed a good correlation. Thus, the obtained results enabled establishing a new drought index based essentially on satellite data. This index represents the advantage for monitoring spatially the drought phenomena and can solve the problem of climatic data lack.
Źródło:
Mining Science; 2018, 25; 71-99
2300-9586
2353-5423
Pojawia się w:
Mining Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of evapotranspiration in the catchment of the Nurzec River, Poland using MODIS data
Autorzy:
Ślązek, Mateusz
Powiązania:
https://bibliotekanauki.pl/articles/2036868.pdf
Data publikacji:
2014-04-10
Wydawca:
Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:
Evapotranspiration
NDVI
MODIS data
catchment of the Nurzec River
Opis:
The objective of this study is to analyse the spatial diversity and temporal variation of evapotranspiration in the catchment of the Nurzec River in the years 2001-2010. The study is based on MODIS images highlighting monthly accumulated values of evapotranspiration, Normalized Difference Vegetation Index (NDVI), and land use categories. Monthly evapotranspiration was calculated for the whole catchment as well as in different land use categories. The study focuses on assessing the relationship between the values of NDVI and evapotranspiration. The annual ET according to MODIS varied from 392 mm to 458 mm. Deciduous broadleaf forests have a higher ET than other land use categories. The analysis shows a strong correlation between monthly ET and NDVI.
Źródło:
Miscellanea Geographica. Regional Studies on Development; 2014, 18, 1; 44-51
0867-6046
2084-6118
Pojawia się w:
Miscellanea Geographica. Regional Studies on Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Study of Climate Impact on Vegetation Cover in Kherson Oblast (Ukraine) Using Normalized Difference and Enhanced Vegetation Indices
Autorzy:
Lykhovyd, Pavlo
Powiązania:
https://bibliotekanauki.pl/articles/1838309.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
MODIS NDVI
MODIS EVI
vegetation cover
local meteorology
Opis:
Remote sensing is a convenient tool for the study of vegetation cover conditions and dynamics using normalized difference and enhanced vegetation indices. Determination of the connection between weather and vegetation indices plays an important role in better understanding peculiarities of ecosystems reaction to changing climate conditions. The study devoted to the evaluation of annual and long-term dynamics under vegetation cover conditions, and its reaction to the climate factor, was performed through the establishment of the link between remote sensing information (smoothed time series data on normalized and enhanced vegetation indices) and results of on-land hydrometeorological observations for air temperature and precipitation amounts in Kherson oblast of Ukraine during the period from 2012 to 2019 by the means of linear regression analysis of the data. The values of the studied vegetation indices (Terrain MODIS NDVI and MODIS EVI 250 m smoothed time series) were calculated and generalized by the means of GDAL raster analysis toolkit in QGIS 3.10. Statistical data processing was performed using BioStat v7 software. It was found that there is a strong tendency towards the enhancement of vegetation in the region year by year. Climate has strong effect on the vegetation, and the main input belongs to air temperature, while precipitation amounts cannot be considered as a driving force of changes in the growth of vegetation. Enhanced vegetation index seems to be more reliable for the estimation of vegetation cover conditions in comparison to normalized difference vegetation index.
Źródło:
Journal of Ecological Engineering; 2021, 22, 6; 126-135
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial and Temporal Variability of Moisture Condition in Soil-Plant Environment using Spectral Data and Gis Tools
Autorzy:
Grzywna, H.
Dąbek, P. B.
Olszewska, B.
Powiązania:
https://bibliotekanauki.pl/articles/123280.pdf
Data publikacji:
2018
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
drought
soil moisture
NDVI
Sentinel-2
satellite data
remote sensing
Opis:
The studies on agricultural droughts require long-term atmospheric, hydrological and meteorological data. On the other hand, today, the possibilities of using spectral data in environmental studies are indicated. The development of remote sensing techniques, increasing the spectral and spatial resolution of data allows using remote sensing data in the study of water content in the environment. The paper presents the results of the analysis of moisture content of soil-plant environment in the lowland areas of river valley using the spectral data from Sentinel-2. The analyses were conducted between February and November 2016. The spectral data were used to calculate the Normalize Differential Vegetation Index (NDVI) which provided the information about the moisture content of the soil-plant environment. The analyses were performed only on grasslands, on 22 objects located in the research area in the Oder river valley between Malczyce and Brzeg Dolny, Poland. The NDVI values were correlated with the hydrological and meteorological parameters. The analyses showed spatial and temporal variability of the moisture conditions in the soil-plant environment showed by the NDVI variability and existence some relationships between the climatic and spectral indices characterizing the moisture content in the environment.
Źródło:
Journal of Ecological Engineering; 2018, 19, 6; 56-64
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatio-temporal dynamics of vegetation cover in North-West Algeria using remote sensing data
Autorzy:
Tayeb, Tayeb Si
Kheloufi, Benabdeli
Powiązania:
https://bibliotekanauki.pl/articles/92530.pdf
Data publikacji:
2019
Wydawca:
Oddział Kartograficzny Polskiego Towarzystwa Geograficznego
Tematy:
land cover
spatio-temporal dynamics
remote sensing
NDVI
Oranie
Opis:
Land cover change is the result of complex interactions between social and environmental systems which change over time. While climatic and biophysics phenomena were for a long time the principal factor of land transformations, human activities are today the origin of the major part of land transformation which affects natural ecosystems. Quantification of natural and anthropogenic impacts on vegetation cover is often hampered by logistical issues, including (1) the difficulty of systematically monitoring the effects over large areas and (2) the lack of comparison sites needed to evaluate the effect of the factors. The effective procedure for measuring the degree of environmental change due to natural factors and human activities is the multitemporal study of vegetation cover. For this purpose, the aim of this work is the analysis of the evolution of land cover using remote sensing techniques, in order to better understand the respective role of natural and anthropogenic factors controlling this evolution. A spatio-temporal land cover dynamics study on a regional scale in Oranie, using Landsat data for two periods (1984–2000) and (2000–2011) was conducted. The images of the vegetation index were classified into three classes based on Normalized Difference Vegetation Index (NDVI) values and analysed using image difference approach. The result shows that the vegetation cover was changed. An intensive regression of the woody vegetation and forest land resulted in -22.5% of the area being lost between 1984 and 2000, 1,271 km2 was converted into scrub formations and 306 km2 into bare soil. On the other hand, this class increased by around 45% between 2000 and 2011, these evolutions resulting from the development of scrub groups with an area of 1,875.7 km2.
Źródło:
Polish Cartographical Review; 2019, 51, 3; 117-127
2450-6974
Pojawia się w:
Polish Cartographical Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial Analysis of Vegetation Cover in Urban Green Space under New Government Agenda of Clean and Green Pakistan to Tackle Climate Change
Autorzy:
Pervaiz, Shazia
Javid, Kanwal
Khan, Filza Zafar
Talib, Bushra
Siddiqui, Rumana
Ranjha, Maria Mumtaz
Akram, Muhammad Ameer Nawaz
Powiązania:
https://bibliotekanauki.pl/articles/124105.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
Clean and Green Pakistan
Gora Cemetery
Miani Sahib
NDVI
Opis:
Shrinkage of urban green space has led to the disruption of the ecological balance. Population growth, industrial expansion, development activities and land encroachment reduce the vegetation cover of metropolitan cities including Lahore, Pakistan. Presently, Lahore is on top of all metropolitan cities in the world having worst air quality index (AQI). Thus, monitoring of the vegetation cover in urban areas is the ultimate need of the day for the conservation and protection of environment which is also the agenda of new government (Clean and Green Pakistan). Besides, Honorable Lahore High Court has also passed an order to plant trees in the oldest and biggest graveyard of Lahore to tackle the climate change issue. Considering the above-mentioned facts, the current research was carried out for the first time in Lahore, Pakistan to analyze the vegetation cover using spatio-temporal technique. For vegetation cover assessment, spatial techniques were used in the present study viz. Normalized Difference Vegetation Index (NDVI), Transformed Normalized Vegetation Index (TNDVI), Difference Vegetation Index (DVI) and supervised classification. On the basis of high magnitude of smog and air pollution issue, four recent years were selected, i.e. 2015, 2016, 2017 and 2018 to observe ground reality. The results of the study revealed the depletion of vegetation cover in cemeteries at an alarming rate. Furthermore, the results of study revealed no significant change in green cover in Miani Sahib after the passing order of Lahore High Court of plantation in the graveyard.
Źródło:
Journal of Ecological Engineering; 2019, 20, 4; 245-255
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Generative adversarial approach to urban areas NDVI estimation: A case study of Łódź, Poland
Autorzy:
Adamiak, Maciej
Będkowski, Krzysztof
Bielecki, Adam
Powiązania:
https://bibliotekanauki.pl/articles/52495515.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
generative adversarial networks
NDVI
green areas
orthophoto
artificial datasets
Opis:
Generative adversarial networks (GAN) opened new possibilities for image processing and analysis. In- painting, dataset augmentation using artificial samples, or increasing spatial resolution of aerial imagery are only a few notable examples of utilising GANs in remote sensing (RS). The normalised difference vegetation index (NDVI) ground-truth labels were prepared by combining RGB and NIR orthophotos. The dataset was then utilised as input for a conditional generative adversarial network (cGAN) to perform an image-to-image translation. The main goal of the neural network was to generate an artificial NDVI image for each processed 256 px × 256 px patch using only in- formation available in the panchromatic input. The network achieved a structural similarity index measure (SSIM) of 0.7569 ± 0.1083, a peak signal-to-noise ratio (PSNR) of 26.6459 ± 3.6577 and a root-mean-square error (RSME) of 0.0504 ± 0.0193 on the test set, which should be considered high. The perceptual evaluation was performed to verify the meth- od’s usability when working with a real-life scenario. The research confirms that the structure and texture of the pan- chromatic aerial RS image contain sufficient information for NDVI estimation for various objects of urban space. Even though these results can highlight areas rich in vegetation and distinguish them from the urban background, there is still room for improvement regarding the accuracy of the estimated values. The research aims to explore the possibility of utilising GAN to enhance panchromatic images (PAN) with information related to vegetation. This opens exciting opportunities for historical RS imagery processing and analysis.
Źródło:
Quaestiones Geographicae; 2023, 42, 1; 87-105
0137-477X
2081-6383
Pojawia się w:
Quaestiones Geographicae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of the Research on Spatio-Temporal Differentiation of a Vegetation Index in Evaluating Sunflower Hybrid Plasticity and Growth-Regulators in the Steppe Zone of Ukraine
Autorzy:
Pichura, Vitalii
Domaratskiy, Yevhenii
Potravka, Larisa
Biloshkurenko, Oleksandra
Dobrovol'skiy, Andrey
Powiązania:
https://bibliotekanauki.pl/articles/24201739.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
sunflower
growth-regulatory preparation
climate
vegetation
NDVI
Steppe zone
remote sensing
Opis:
The purpose of the study was to establish dependence of sunflower productivity on hybrid plasticity under the climatic conditions of the Steppe zone and effectiveness of growth-regulators on the basis of the analysis of differentiation of a vegetation index. The research on the development and productivity of different sunflower hybrids under the natural-climatic conditions of the Steppe zone of Ukraine was conducted in the years of 2019 (medium-wet), 2020 (dry) and 2021 (wet). Spatio-temporal differentiation of the vegetation of sunflower hybrids was established on the basis of calculation of a normalized difference vegetation index (NDVI) using the data of the decoded space images of Sentinel 2. Cartographic and grapho-analytical materials reflecting the reaction of plants to natural-climatic conditions and multifunctional growth-regulators were obtained. The dependence of the reaction of sunflower hybrids to multifunctional growth-regulators on their plasticity in response to the natural-climatic conditions of the Steppe zone was established. There was a weak reaction to application of growth-regulators of the sunflower hybrids Oplot and P64HE133 which are characterized by a high level of plasticity in response to the natural-climatic conditions of the Steppe zone. It was proven that the application of the biological preparation Helafit Combi exceeded the level of agrocenoses productivity in comparison with the chemical preparation ArchitectТМ by 1.1-5.4%. It was established that foliar treatment with growth-regulators led to a decline in water uptake by the sunflower hybrids by 1.2–10.0% in the dry year, by 3.8–8.6% in the medium-wet year and by 3.7%–21.9% in the wet year. There was a significant reduction in the level of water uptake by the hybrid Hector – by 7.7–10.0% and the hybrid 8KH477KL – by 1.2–21.9%. The research results are the basis for forecasting the development of sunflower hybrid crops with further measurement of the crop productivity that allows establishing a probable level of efficiency of sunflower hybrid production by agricultural producers under the climatic conditions of the Steppe zone.
Źródło:
Journal of Ecological Engineering; 2023, 24, 6; 144--165
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessing the relationship of lst, ndvi and evi with land cover changes in the lagos lagoon environment
Autorzy:
Alademomi, Alfred S.
Okolie, Chukwuma J.
Daramola, Olagoke E .
Agboola, Raphael O .
Salami, Tosin J.
Powiązania:
https://bibliotekanauki.pl/articles/1050894.pdf
Data publikacji:
2020-09-30
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
Coastal Environment
Remote Sensing
Land Cover
LST
NDVI
EVI
Lagos Lagoon
Opis:
The Lagos Lagoon is under increased pressure from growth in human population, growing demands for natural resources, human activities, and socioeconomic factors. The degree of these activities and the impacts are directly proportional to urban expansion and growth. In the light of this situation, the objectives of this study were: (i) to estimate through satellite imagery analysis the extent of changes in the Lagos Lagoon environment for the periods 1984, 2002, 2013 and 2019 using Landsat-derived data on land cover, Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI); and (ii) to evaluate the relationship between the derived data and determine their relative influence on the lagoon environment. The derived data were subjected to descriptive statistics, and relationships were explored using Pearson’s correlation and regression analysis. The effect of land cover on LST was measured using the Contribution Index and a trend analysis was carried out. From the results, the mean LSTs for the four years were 22.68°C (1984), 24.34°C (2002), 26.46°C (2013) and 28.40°C (2019). Generally, the mean LSTs is in opposite trend with the mean NDVIs and EVIs as associated with their dominant land cover type. The strongest positive correlations were observed between NDVI and EVI while NDVI had the closest fit with LST in the regression. Built-up areas have the highest contributions to LST while vegetation had a cooling influence. The depletion in vegetative cover has compromised the biodiversity of this environment and efforts are required to reverse this trend.
Źródło:
Quaestiones Geographicae; 2020, 39, 3; 111-123
0137-477X
2081-6383
Pojawia się w:
Quaestiones Geographicae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Monitoring of Water Bodies and Non-vegetated Areas in Selenica ‑ Albania with Sar and Optical Images
Autorzy:
Belba, Pietro
Kucaj, Spartak
Thanas, Jorgaq
Powiązania:
https://bibliotekanauki.pl/articles/2105519.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
SAR image
optical image
collocated image
water bodies
NDVI
Sentinel images
Opis:
The availability of Sentinel satellites for providing open data with optical and SAR imagery leads to better opportunities related to Earth surface mapping and monitoring. Recently, optical fusion with radar data has shown improvement in classification quality and the accuracy of information acquired. In this setting, the main objective of this research is to monitor the environmental impact of an open-pit mine on water, vegetation, and non-vegetation areas by exploring the single and combined use of Sentinel-1 and Sentinel-2 data. The data utilized in this paper were collected from the European Space Agency Copernicus program. After selecting the Selenica region, we explored the products in the Sentinel Application Platform. According to our data, Sentinel-2 misses the small water ponds but successfully identifies the river and open-pit areas. It mistakenly identifies urban structures and cloud areas as non-vegetated and does not identify non-vegetated areas which correspond to mining operation areas. Sentinel-1 identifies very small water ponds and delivers additional information in the cloudy areas, but misses a part of the river. Alongside the strong contribution in identifying the vegetation, it also roughly identifies the non-vegetation areas of mining operations.
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 3; 5--25
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Change on detection of vegetation cover and soil salinity using GIS technique in Diyala Governorate, Iraq
Autorzy:
Adeeb, Haneen Q.
Al-Timimi, Yaseen K.
Powiązania:
https://bibliotekanauki.pl/articles/35519874.pdf
Data publikacji:
2021
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
differencing image
normalized difference
vegetation index
NDVI
salinity index
GIS
Iraq
Opis:
Soil salinity is one of the most important problems of land degradation, that threatening the environmental, economic and social system. The aim of this study to detect the changes in soil salinity and vegetation cover for Diyala Governorate over the period from 2005 to 2020, through the use of remote sensing techniques and geographic information system. The normalized difference vegetation index (NDVI) and salinity index (SI) were used, which were applied to four of the Landsat ETM+ and Landsat OLI satellite imagery. The results showed an increase in soil salinity from 7.27% in the period 2005–2010 to 27.03% in 2015–2020, as well as an increase in vegetation from 10% to 24% in the same period. Also the strong inverse correlation between the NDVI and the SI showed that vegetation is significantly affected and directly influenced by soil salinity changes
Źródło:
Scientific Review Engineering and Environmental Sciences; 2021, 30, 1; 148-158
1732-9353
Pojawia się w:
Scientific Review Engineering and Environmental Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ocena obrazowych danych teledetekcyjnych do identyfikacji obiektów w zielonej i błękitnej infrastrukturze
Assessment of remote sensing image data to identify objects in green and blue infrastructure
Autorzy:
Pluto-Kossakowska, Joanna
Władyka, Monika
Tulkowska, Weronika
Powiązania:
https://bibliotekanauki.pl/articles/132389.pdf
Data publikacji:
2018
Wydawca:
Polskie Towarzystwo Geograficzne
Tematy:
ortofotomapa lotnicza
Sentinel-2
NDVI
BDOT10k
aerial orthophotomap
Opis:
W ostatnich latach koncepcja zielonej i błękitnej infrastruktury zdobywa coraz większe uznanie i coraz częściej jest wdrażana również w polskich miastach i gminach. Pełni wiele ważnych funkcji, począwszy od aspektu rekreacyjnego, ekologicznego i ekonomicznego aż po gospodarczy. Koncepcja ta przywiązuje szczególną wagę do elementów środowiska przyrodniczego przy podejmowaniu decyzji dotyczących głównie zagospodarowania przestrzennego, ale też do aspektów jego monitorowania i zarządzania. Aby sprostać temu zadaniu niezbędne jest odwołanie się do aktualnych danych przestrzennych. Można z powodzeniem wykorzystać istniejące bazy danych przestrzennych, jak np. BDOT10k, Natura 2000 czy inne tematyczne powstające w urzędach miast, np. w biurach ochrony środowiska. Wymagają one jednak ustawicznej aktualizacji i tu w sukurs przychodzą zdjęcia wielospektralne, które mogą znacznie przyspieszyć i zautomatyzować proces aktualizacji bazy danych przestrzennych. W zależności od potrzeb i szczegółowości bazy danych można do tego celu wykorzystać dane optyczne z pułapu lotniczego lub satelitarnego. Celem przeprowadzonych badań jest analiza możliwości wykorzystania ortofotomapy lotniczej oraz zdjęcia satelitarnego Sentinel-2 pozyskanych dla dwóch różnych obszarów badawczych. Do eksperymentów zostały wybrane obszary testowe odmienne pod względem charakterystyki pokrycia terenu, stopnia zainwestowania i krajobrazu. Była to gmina miejsko-wiejska o krajobrazie rolniczym oraz centralna dzielnica miasta wojewódzkiego o wysokim wskaźniku zurbanizowania. Opracowano i przetestowano metodykę przetwarzania ortofotomapy i zdjęcia satelitarnego w celu ekstrakcji informacji o obiektach topograficznych reprezentujących roślinność oraz wody będącymi integralną częścią bazy danych „błękitnej i zielonej infrastruktury”. Przeprowadzone badania i analizy porównawcze wskazały na potencjał i ograniczenia obu źródeł danych teledetekcyjnych.
In recent years, the concept of green and blue infrastructure has been earning recognition and is increasingly being implemented in Polish cities and municipalities. It serves many important functions, ranging from recreational, ecological aspects to economic ones. This concept attaches particular attention to elements of the natural environment when making decisions regarding mainly spatial development, but also to aspects of its monitoring and management. To meet this task, it is necessary to refer to current spatial data. It is possible to successfully use existing spatial databases such as BDOT10k, Natura 2000 or other thematic created in city offices, e.g. in environmental protection offices. However, they require constant updating and here remote sensing data comes in, which speeds up the database update process. Depending on the needs and detail of the database, you can obtain data for this purpose from both the air and satellite altitude. The purpose of the research was to analyze the possibilities of using an aerial orthophotomap and a Sentinel-2 satellite image obtained for two different research areas. Test areas that were different in terms of land cover and local government units were selected for the experiments. It was an urban-rural commune with an agricultural landscape and the central district of a selected provincial city with a high urban index. The methodology of orthophotomap and satellite image processing and extraction of information about topographic objects related to vegetation and waters being an integral part of the „blue and green infrastructure” database was developed and tested. The conducted research and comparative analyzes indicated the potential and limitations of both sources of remote sensing data.
Źródło:
Teledetekcja Środowiska; 2018, 59; 13-27
1644-6380
Pojawia się w:
Teledetekcja Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wpływ zielonej infrastruktury na warunki termiczne miast północnej Wielkopolski oraz jej miejsce w lokalnej polityce klimatycznej
The impact of green infrastructure on the thermal conditions of the cities of northern Wielkopolska and its place in the local climate policy
Autorzy:
Lupa, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/1022890.pdf
Data publikacji:
2020-12-30
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
green infrastructure
climate change
cities and towns of northern Wielkopolska
brightness temperature and NDVI
Landsat 8
zielona infrastruktura
zmiany klimatu
miasta północnej Wielkopolski
temperatura radiacyjna i NDVI
Opis:
Zielona infrastruktura (ZI) obszarów zurbanizowanych dostarcza wielu regulacyjnych usług ekosystemowych. Jej istotny wpływ na rozkład temperatury powietrza w mieście i regulację obiegu wody ma strategiczne znaczenie dla adaptacji miast do zmian klimatu i zapewnienia wysokiej jakości życia mieszkańców. Celem pracy jest rozpoznanie ilościowe ZI w miastach województwa wielkopolskiego położonych na północ od Poznania (31 obiektów) w kontekście wpływu na warunki termiczne. Jednocześnie podjęto próbę oceny uwzględnienia koncepcji ZI w polityce klimatycznej miast poprzez analizę zapisów zawartych w wybranych dokumentach strategicznych. Wykorzystując zdjęcie satelitarne Landsat 8 oraz metody GIS, wyliczono wartości wskaźnika NDVI (ang. normalized difference vegetation index – znormalizowany różnicowy wskaźnik wegetacji) oraz opracowano rozkłady temperatury radiacyjnej. Posłużyły one do pośredniej oceny roli ZI w regulacji temperatury powietrza w miastach. Uzyskane w ten sposób wynikiodniesiono do zapisów dokumentów miejskich w zakresie lokalnej polityki klimatycznej. W toku badań potwierdzono znaczny i zróżnicowany przestrzennie wpływ ZI na obniżanie temperatury radiacyjnej w miastach. W tych samych warunkach atmosfery różnice wysokości średniej temperatury radiacyjnej obliczonej dla miast różniących się udziałem ZI przekraczały nawet 5°C. Tak ważna rola ZI nie znalazła jednak bezpośredniego przełożenia na politykę klimatyczną miast, w której wyżej pozycjonowane są działania inwestycyjne w szarej infrastrukturze, a powiązania między szarą, niebieską i zieloną infrastrukturą są w wielu przypadkach pomijane.
Green infrastructure (GI) of urban areas provides multiple regulating ecosystem services. Its significant influence on the air temperature distribution in the city and the regulation of the water cycle is of strategic importance for the adaptation of cities to climate change and ensuring a high quality of life for residents. The aim of the study is to quantify the GI role in shaping thermal conditions in the 31 cities andtowns located in the northern part of Wielkopolska Region. At the same time, an attempt was made to evaluate the urban climate policies by analysing the GI-related contents in environmental protectionprogrammes and low-carbon economy plans. Using the Landsat 8 multispectral satellite image and GIS processing, NDVI (normalized difference vegetation index) and brightness temperature within selected cities and their buffer zones were quantified. Obtained results were used to indirectly assess the role of GI in the regulation of air temperature in the study areas. The results obtained were compared to the provisions of the mentioned municipal documents. The research confirmed the significant and spatially diversified influence of GI on the reduction of brightness temperature in cities. Under the same atmospheric conditions, the differences in the mean temperature between cities with different GI shares exceeded even 5°C. However, such an important role of GI is insufficiently stressed in the climate policies of cities, where investments in grey infrastructure are much more common and the crucial links between grey, blue and green infrastructure are in many cases ignored.
Źródło:
Rozwój Regionalny i Polityka Regionalna; 2020, 52; 219-233
2353-1428
Pojawia się w:
Rozwój Regionalny i Polityka Regionalna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie wskaźnika NDVI i filtracji kierunkowej do rozpoznawania użytków zielonych oraz analizy zmian siedlisk i zbiorowisk łąkowych
Application of NDVI index and directional filtration in grassland recognition and changes of grassland habitats and communities analyzing
Autorzy:
Kosiński, K.
Kozłowska, T.
Powiązania:
https://bibliotekanauki.pl/articles/131080.pdf
Data publikacji:
2003
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
teledetekcja
użytki zielone
NDVI
filtracja kierunkowa
remote sensing
grasslands
directional filtration
Opis:
Przedstawiono metodę konstrukcji mapy satelitarnej użytków zielonych oraz zmian siedlisk i zbiorowisk łąkowych w okresie wieloletnim na podstawie analizy wartości i rozkładu przestrzennego wskaźnika NDVI. Użyto kompozycji trójbarwnej, w której dwie składowe barwne stanowią wartości NDVI obliczone ze zdjęć landsatowskich wykonanych w odstępie 14 lat. Jako trzeciej składowej użyto wskaźnika zmian NDVI, który w celu odróżnienia łąk od innych form użytkowania ziemi poddano filtracjom kierunkowym. Utworzona w ten sposób fotomapa pozwoliła wyodrębnić 11 form użytkowania ziemi. W szczególności powala odróżnić łąki użytkowane od nieużytkowanych, a w obrębie tych ostatnich łąki zabagniające od niezabagniających.
A simple method was elaborated to display changes in meadow communities and habitats using two dates of Landsat imagery. The normalized difference vegetation index (NDVI) was computed for each date of imagery to define high and low vegetation biomass. Color composites were generated by combining the two dates of NDVI and the index of NDVI changes with either the red, green, or blue (RGB) image plans. Directional filtration of the index of NDVI changes were used to register a striped structure of arable areas. The result was that the structural difference between meadows and arable areas was quantified and visualized in color composition. Finally 11 categories of land use were distinguished.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2003, 13b; 387-395
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wykorzystanie zdjęć satelitarnych MODIS do badania stopnia pokrycia terenu roślinnością
Use of MODIS Satellite Images to Study the Percentage of Vegetation Cover
Autorzy:
Tomaszewska, M.
Lewiński, S.
Woźniak, E.
Powiązania:
https://bibliotekanauki.pl/articles/132289.pdf
Data publikacji:
2011
Wydawca:
Polskie Towarzystwo Geograficzne
Tematy:
stopień pokrycia
teren
roślinność
NDVI
Landsat TM
MODIS
degree
vegetation cover
Opis:
The work presents a methodology of processing MODIS satellite images in order to obtain information on the degree of correlation and dependence between vegetation index NDVI and a percentage of a vegetation cover. The low resolution satellite image from MODIS scanner placed on AQUA satellite was used in the analysis and as a reference data – an image from Landsat TM satellite. The test area was Warsaw and its surroundings. The analysis allowed to obtain a function which defines the relation between NDVI index and a percentage of vegetation cover (R2 = 0,85) This analysis permitted to create vegetation cover maps of Masovian Voivodeship. The work proved the possibility of mapping land vegetation cover on the base of low resolution satellite images. That kind of a map can be used as a background material to carry out various types of environmental studies.
Źródło:
Teledetekcja Środowiska; 2011, 46; 15-22
1644-6380
Pojawia się w:
Teledetekcja Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zmienność wskaźników NDVI oraz NDMI na przykładzie analizy uprawy kukurydzy w Etiopii
Variability of NDVI and NDMI indicators on the example of maize cultivation in Etiopia
Autorzy:
Nasiłowska, S.
Kubiak, K.
Powiązania:
https://bibliotekanauki.pl/articles/132327.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Geograficzne
Tematy:
NDVI
NDMI
Landsat 8
rolnictwo precyzyjne
kukurydza
COMOZ
precise agriculture
maize
Opis:
Celem pracy jest analiza zmian kondycji uprawy kukurydzy na przestrzeni trzech lat, z zastosowaniem danych satelitarnych Landsat-8. Wykorzystano tu obrazy prezentujące rozkład przestrzenny dwóch wskaźników teledetekcyjnych: NDVI oraz NDMI. Pierwszy pozwala badać wielkość biomasy a tym samym potencjalny plon upraw. Drugi natomiast wrażliwy jest na zawartość wody w strukturach komórkowych roślin, co pozwala na detekcję stresu wodnego. Przebadano zróżnicowanie przestrzenne i zmienność tych dwóch wskaźników od 2014 do 2016 roku. Obliczono średnią i odchylenie standardowe dla uprawy oraz wydzielonych w niej 4 stref. Przeanalizowano również zmienność wskaźników na podstawie opracowanych map uprawy. Analiza przedstawiona w pracy jest konkretnym przykładem zastosowania średniorozdzielczych scen Landsat do monitoringu upraw, a tym samym tzw. precyzyjnego rolnictwa, gotowym do zaaplikowania na platformie COMOZ tworzonej w Instytucie Lotnictwa. Statystyki wskazują na konkretne daty kiedy kondycja upraw była najlepsza a kiedy najgorsza. Mapowanie zjawiska pozwala na śledzenie trendów w czasie i przestrzeni. Dodatkowo interpretacja wizualna i pośrednie cechy interpretacyjne obrazu mogą wskazywać na prowadzone na miejscu zabiegi hydrotechniczne.
The aim of the study was to analyze changes in the condition of maize over three years, using satellite data Landsat-8. Spatial distribution and statistics of two remote sensing indices: NDVI and NDMI were shown. First of mentioned allows biomass estimation and thus potential crop yield. The second one is sensitive to water content of the plant cell structure, which allows for the detection of water stress. In the study spatial heterogeneity and variability of these two indicators from 2014 until 2016 were presented. The mean and standard deviation for 4 separated region of interests were calculated. Spatial variability of indices based on developed crops maps were also analyzed The analysis presented in this work is a concrete example of the application of medium-resolution Landsat scenes for monitoring crops and thus the so-called precision farming, ready to implement in COMOZ platform developed in Institute of Aviation. Statistics indicate a specific date when the condition of the crop was the best and when the worst. Mapping the phenomenon allows to track trends over time and space. In addition, the visual interpretation of indirect features of the image can indicate on the agricultural treatments characterization.
Źródło:
Teledetekcja Środowiska; 2016, 55; 15-26
1644-6380
Pojawia się w:
Teledetekcja Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Klasyfikacja obiektowa użytków zielonych z wykorzystaniem wieloletnich zmian NDVI i filtracji kierunkowych obrazu satelitarnego
Object grassland classification using multi-year NDVI changes and directional filtering of satellite image
Autorzy:
Kosiński, K.
Hoffmann-Niedek, A.
Powiązania:
https://bibliotekanauki.pl/articles/130960.pdf
Data publikacji:
2008
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
użytki zielone
klasyfikacja obiektowa
NDVI
filtracja kierunkowa
Landsat
grassland
object classification
directional filtering
Opis:
W artykule przedstawiono algorytm półautomatycznej klasyfikacji obiektowej kompleksów krajobrazowo-roślinnych użytków zielonych na podstawie dwóch zobrazowań satelitów serii Landsat, wykonanych w odstępie 17 lat. NDVI z dwóch terminów, wskaźnik wieloletnich zmian NDVI oraz wskaźnik struktury pasowej wykorzystano do wydzielenia użytków zielonych spośród innych form użytkowania. Przedstawiono mapę poklasyfikacyjną okolic Bełchatowa. Wyróżniono 5 kategorii użytków zielonych.
Semi-automated object classification of grasslands is presented. Landscape-vegetation complexes were distinguished on panchromatic data composites of two Landsat ETM+ images registered on 1999-09-10 and 2001-05-01. Bitemporal spectral data were used for classification. Two Landsat images were used: TM, 19870503 and 2001-05-01. Four indices were calculated: NDVI 1987-05-03, NDVI 2001-05-01, wzNDVI87/01 (NDVI change index), and WSP (strip structure index). The analysis confirmed the hypothesis that meadows may be distinguished from arable lands and from formerly arable sods after directional filtering of the index of multi-year NDVI change. Cluster analysis was performed to classify landscape-vegetation complexes. The full algorithm is described. Some errors found during terrain verification are discussed. A postclassification map of the Bełchatów environs (central Poland) was developed. Five grassland categories were distinguished.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2008, 18a; 273-282
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The issue of green area accessibility – the example of the city of Łódź
Problem dostępności terenów zieleni w mieście na przykładzie Łodzi
Autorzy:
Bielecki, Adam
Będkowski, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/1835993.pdf
Data publikacji:
2020-12-01
Wydawca:
Uniwersytet Opolski
Tematy:
greenery
urban greening
NDVI
quality of life
tereny zieleni
zieleń miejska
jakość życia
Opis:
The article is devoted to the subject of urban greenery. The paper attempts to present real green areas and not only those that have such a purpose featuring in lists and registers. The authors also refer to the topic of availability of urban greenery for the residents of the city, taking into account an uneven density of places of residence. The aim of the article is to present the method for assessing the availability of green areas around places of residence, using spatial data showing residential buildings and official data on greenery. The relevant analyses are based on a regular network of squares of 90 m × 90 m. It was found that Łódź is a city with rich greenery resources. However, this judgment needs revising because a significant part of the residents both in their places of residence (R = 50 m) and further surroundings (R = 500 m) do not have access to green areas intended for recreation.
Artykuł poświęcony jest tematyce zieleni miejskiej. W pracy podjęto próbę przedstawienia rzeczywistychterenów zieleni, a nie tylko tych, które posiadają takie przeznaczenie w wykazach i rejestrach. Autorzy odnoszą się również do wątku dostępności zieleni miejskiej dla mieszkańców miasta, biorąc pod uwagęnierównomierne zagęszczenie miejsc zamieszkania. Celem artykułu jest przedstawienie propozycji metodyoceny dostępności terenów zieleni dla mieszkańców miast. Wykorzystano dane dotyczące rozmieszczeniabudynków mieszkalnych oraz obiektów, które są oficjalnie uznawane za tereny zieleni. Analizy prowadzonow regularnej siatce kwadratów o wielkości 90 m × 90 m. Analizowano dostępność zieleni w miejscu zamieszkania oraz w promieniu do ok. 500 m. Stwierdzono, że Łódź jest bogata w zasoby zieleni, jednakże ta ocena powinna być zweryfikowana ponownie, gdyż wciąż wielu mieszkańców zarówno w miejscu zamieszkania (R = 50 m) jak również w najbliższym otoczeniu nie ma dostępu do zieleni rekreacyjnej.
Źródło:
Studia Miejskie; 2020, 40; 55-70
2543-5302
2082-4793
Pojawia się w:
Studia Miejskie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of remote sensing indices in determining the interrelation between condition of tree stands and myrmecofauna in forests of Wigry National Park
Autorzy:
Chiliński, M.T.
Czajkowska, K.
Krzysztofiak, L.
Mazurkiewicz, P.J.
Powiązania:
https://bibliotekanauki.pl/articles/2130428.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu
Tematy:
red wood ants
myrmecofauna
forest ecosystems
vegetation indices
remote sensing
RPAS
drone
NDVI
Opis:
Presented work is aimed at investigating potential correlations between remote sensing vegetation indices and local ant populations. Research was conducted in summer of 2017 in Wigry National Park in two types of forest habitats: coniferous (Serratulo-Pinetum) and deciduous (Tilio-Carpinetum). NDVI and MCARI2 vegetation indices were measured with the use of a drone and yielded comparable correlations with ant-related quantities. We determined that the presence of ants from Formica group is positively correlated with vegetation indices, while the correlation between Myrmica and Lasius ants and vegetation indices is more complex.
Źródło:
Steciana; 2018, 22, 3; 115-121
1689-653X
Pojawia się w:
Steciana
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-25 z 52

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