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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
Wyświetlanie 1-15 z 52

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