Temat: sensing - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Drought Detection by Application of Remote Sensing Technology and Vegetation Phenology
Autorzy:: Uttaruk, Y.
Laosuwan, T.
Powiązania:: https://bibliotekanauki.pl/articles/125427.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: drought detection
remote sensing
vegetation phenology
Opis:: Drought is a natural phenomenon as it often occurs in the area of Yasothon province, northeastern of Thailand. It causes effects on vegetation condition in the area. Drought information might be useful for local government to prepare for prevention and mitigation plan in the future. For this reason, the primary objective of the research was to conduct the examination of this province to find severe drought years. Firstly, the researcher needed to find Normalized Differences Vegetation Index (NDVI) and Vegetation Condition Index (VCI) by analyzing monthly Landsat data acquired at different periods of time from January to December 2014, 2015, and 2016, covering 4,096 km². Then, the researcher needed to find relationship between VCI and monthly rainfall represented in term of space and time. As results, VCI and its relationship with monthly rainfall were congruent. VCI showed that the drought area was 33.87% or 1,387.32 km² of studied area in 2014, 16.24% or 665.19 km² of studied area in 2015 and 27.95% or 1,144.83 km² of studied area in 2016. Therefore, the most and the least severe drought years were 2014, 2016, and 2015 respectively.
Źródło:: Journal of Ecological Engineering; 2017, 18, 6; 115-121
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: Colorimetric Parameters Modeling of Test Micro-Ecosystems for Lands Pollution Remote Sensing
Autorzy:: Vуsotska, Olena
Greben, Aleksandr
Kalashnikova, Vasilisa
Klochko, Tetiana
Rakhmetullina, Saule
Kotyra, Andrzej
Mamyrbaev, Orken
Iskakova, Aigul
Powiązania:: https://bibliotekanauki.pl/articles/1839122.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: pollution
system dynamics
colorimetric parameters
remote sensing
Opis:: The paper describes a methodology of determining the toxicity sources, using bioassay based on the wildlife objects that change their colorimetric parameters under the influence of toxic factors. The work explores the dynamism of the colorimetric attributes associated with plant pigments. It can be determined by computer processing of the data obtained from digital remote sensing of the lands affected by toxic pollution by means of such relatively low-cost and straightforward methods as digital photography from an aircraft or a drone. The results obtained do not allow direct measurements but rather serve as a basis for the development and characterization of new biomarkers.
Źródło:: Journal of Ecological Engineering; 2021, 22, 2; 161-168
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 3.

Tytuł:: Soil Salinity Classification Using Machine Learning Algorithms and Radar Data in the Case from the South of Kazakhstan
Autorzy:: Merembayev, Timur
Amirgaliyev, Yedilkhan
Saurov, Sultan
Wójcik, Waldemar
Powiązania:: https://bibliotekanauki.pl/articles/2202157.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: environmental correlation
soil salinity
machine learning
remote sensing
Opis:: Soil salinity is one of the major impact factors on agriculture in the South of Kazakhstan. Prediction and estimation of soil salinity before planting a season usually helps to plan for the leaching of the salt. In the paper, satellite data such as radar data and machine learning algorithms, were used to classify soil salinity. Numerical results were presented for the Turkestan region, which contains more than 102 points. The machine learning algorithms, including Gaussian Process, Decision Tree, and Random Forest, were compared. The evaluation of the model score was realized by using metrics, such as accuracy, Recall, and f1. In addition, the influence of the dataset features on the classification was investigated using machine learning algorithms. The research results showed that the Gaussian Process model has the best score among considered algorithms. In addition, the results are consistent with the outcome of the Shapley Additive exPlanations (SHAP) framework.
Źródło:: Journal of Ecological Engineering; 2022, 23, 10; 61--67
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 4.

Tytuł:: Integration Remote Sensing and Meteorological Data to Monitoring Plant Phenology and Estimation Crop Coefficient and Evapotranspiration
Autorzy:: Hassan, Diaa Fliah
Abdalkadhum, Aysar Jameel
Mohammed, Rafal J.
Shaban, Amin
Powiązania:: https://bibliotekanauki.pl/articles/2086414.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: actual evapotranspiration
crop coefficient
remote sensing
vegetation index
Opis:: The water requirements of the wheat crop are represented by the actual evapotranspiration, which depends on the meteorological data of the study area and the amount of water consumed during the season. Estimation of crop coefficients (Kc) and evapotranspiration (ETc) using remote sensing data is essential for decision-making regarding water management in irrigated areas in arid and semi-arid large-scale areas. This research aims to estimate the crop coefficient calculated from remote sensing data and the actual evapotranspiration values for the crop. The FAO Penman-Monteith equation has been used to estimate the reference evapotranspiration from meteorological data. Linear regression analysis was applied by developing prediction equations for the crop coefficient for different growth stages of comparing with the vegetation cover index (NDVI). The results showed that (R2 = 0.98) between field crop coefficient and crop coefficient predicted from (Kc = 2.0114 NDVI-0.147) in addition to (RMSE = 0.92 and (d = 0.97).
Źródło:: Journal of Ecological Engineering; 2022, 23, 4; 325--335
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 5.

Tytuł:: Characteristics of Selected Peatland Uses and Soil Moisture Based on TVDI
Autorzy:: Holidi, -
Armanto, M. Edi
Damiri, Nurhayati
Putranto, Dinar Dwi Anugerah
Powiązania:: https://bibliotekanauki.pl/articles/952455.pdf
Data publikacji:: 2019
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: remote sensing
land use
drought
fire
South Sumatra
Opis:: The conversion of peatland from forest to non-forest causes environmental damage and increases high land dryness. Mapping of peatland based on dryness is very important to control and prevent fires. This study aims at characterizing peatland based on the level of temperature vegetation dryness index (TVDI) and evaluating the correlation between TVDI value and soil moisture. The research was conducted in August 2018 during the dry season. The area of research located in peat hydrological unit of Sibumbung River – Batok River in Ogan Komering Ilir (OKI) District of South Sumatra Province covering 63,427 ha area that consists of various land uses. The result showed that extreme wet category is found in water bodies and secondary forests that have high density, moderate wet is found in paddy fields and grass, normal area is found in the area covered by low-density trees, moderate dry is found in shrubs and oil palm plantations with good management and extreme dry areas is found in grasses and oil palm with poor cultivation management. There is a correlation between the TVDI value to the soil moisture on 0–10 cm and 10–20 cm and 20–30 cm depth.
Źródło:: Journal of Ecological Engineering; 2019, 20, 4; 194-200
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 6.

Tytuł:: Assessing and Monitoring Sustainable Land Management for Land Degradation Neutrality in Wadi El Farigh
Autorzy:: Erian, Wadid F.
Nasr, Yehia A.
Yacoub, Rafat K.
El-Abd, Raghda A.
Powiązania:: https://bibliotekanauki.pl/articles/24201800.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: remote sensing
geostatistical analysis
GIS
land degradation change
Opis:: This study aimed to understand the new management challenges related to the impact of climate change on biodiversity, deterioration of agricultural productivity, food security, and increasing rates of desertification. This constitutes an important indicator for studying Land Degradation Neutrality (SDGs Target 15.3), which is considered a significant target in achieving the Sustainable Development Goals 2030. The present study is concerned with assessing and monitoring land management and land degradation in Wadi El Farigh from 2000 to 2019. Soil quality is a major part of the chain that leads to understanding sustainable land management of natural resources (land, groundwater, and natural vegetation). A geopedological approach produced the studied area’s physiographic and soil map. The study of changes in land degradation level in Wadi El Farigh over 20 years with a period of every five years shows a very high improvement in the study area from the year 2000 up to 2014. From 2015 to 2019, this class was reduced due to the effects of land degradation reflected by the use of saline water for irrigating crops. Using remote sensing and geostatistical analyses within the GIS environment illustrated that the soils were classified as Entisols, representing 79.45 of the total studied area, and Aridisols representing 20.55% of the total studied area.
Źródło:: Journal of Ecological Engineering; 2023, 24, 3; 55--63
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 7.

Tytuł:: Forecasting Oil Crops Yields on the Regional Scale Using Normalized Difference Vegetation Index
Autorzy:: Lykhovyd, Pavlo
Powiązania:: https://bibliotekanauki.pl/articles/1839197.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: regression analysis
remote sensing
soybean
sunflower
winter rape
Opis:: Early prediction of crop yields on large cropland areas is of a great importance for operational planning in the agrarian sector of economy and ensuring food security. Large-scale forecasts became possible owing to the introduction of remote sensing technologies in the systems of precision agriculture, providing the information on crops conditions both on a certain field and large croplands. The study on the forecasting of major oil crop yields, namely, sunflower (Helianthus annuus L), winter rape (Brássica nápus) and soybean (Glycine max), on the regional level in Kherson oblast of Ukraine was conducted using historical yielding data and monthly MODIS Terrain NDVI smoothed time series imagery with 250 m resolution of the period from 2012 to 2019. The statistical data on the crop yields were linked to the corresponding values of monthly NDVI to determine the type of inter-relationship and work out the regression models for the oil crops yield prediction based on the remotely sensed vegetation index. The highest correlation between the yields of the oil crops and NDVI with the best prediction accuracy were obtained by using the index values at the period of April for winter rape, July for sunflower, and August for soybean. The developed regression models have reasonable accuracy with the mean absolute percentage errors of predictions reaching 25.23 percent for sunflower, 18.28 percent for winter rape, and 13.24 percent for soybean. The models are easy in use and might be recommended for introduction in theory and practice of precision agriculture.
Źródło:: Journal of Ecological Engineering; 2021, 22, 3; 53-57
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 8.

Tytuł:: Two Decades (2000–2020) Measuring Urban Sprawl Using GIS, RS and Landscape Metrics: a Case Study of Municipality of Prishtina (Kosovo)
Autorzy:: Berila, Albert
Isufi, Florim
Powiązania:: https://bibliotekanauki.pl/articles/1838373.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: GIS
remote sensing
landscape metrics
urban sprawl
municipality of Prishtina
Opis:: Since the appearance on Earth, human has been constantly operating in nature, exploiting its riches, but also adapting it to its own needs. Both developing and developed countries are constantly concerned about the urbanization process. Urbanization, in order to be positive, must be developed correctly. If such a thing does not happen, then this development will negatively affect both the environment and human health. In order to develop adequate strategies and policies for the most sustainable and effective land use management, it is necessary to quantify, monitor, determine the factors that have influenced this change in land use and the spread mapping of the urban environment. In this study, Landsat satellite images were used to determine the spatial-temporal characteristics of the urban sprawl environment in the Municipality of Prishtina for a period of 20 years (2000-2020). To map the land cover for Prishtina from 2000 to 2020, the Supervised maximum likelihood classification was used using the Landsat ETM + and OLI data archives in ArcGIS 10.5 software. Using landscape metrics and detection techniques after the classification of satellite images, enabled and assisted in the evaluation and analysis of trends and patterns of urban sprawl. The determination of the changes and the analysis made revealed that during the period 2000-2020, in Prishtina, there was an increase of the built areas by 16.46 km2 at the expense of the unbuilt areas. That there has been an increase in urban areas was also confirmed by the results of landscape metrics.
Źródło:: Journal of Ecological Engineering; 2021, 22, 6; 114-125
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 9.

Tytuł:: Application of Remote Sensing for Temperature Monitoring: the Technique for Land Surface Temperature Analysis
Autorzy:: Laosuwan, T.
Gomasathit, T.
Rotjanakusol, T.
Powiązania:: https://bibliotekanauki.pl/articles/123648.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: remote sensing
Landsat-8 OLI/TIR data
land surface temperature
Opis:: This research aimed to present the technique for land surface temperature analysis with the data from Landsat-8 Operational Land Imager (OLI) /Thermal Infrared Sensors (TIR) in Meuang Maha Sarakham District, Maha Sarakham Province, Northeast Thailand. The research was conducted as following three steps: 1) Collecting the satellite data in thermal infrared band from Landsat-8 TIR satellite to adjust the value of Top of Atmosphere (ToA) Reflectance and then analyzing the land Surface temperature 2) Collecting multi-band data from Landsat-8 OLI satellite to adjust the value of Top of Atmosphere (ToA) Reflectance and then analyzing values of Normalized Difference Vegetation Index (NDVI), Fractional Vegetation Cover (FVC) and Land surface Emissivity (LSE) 3) Bringing the results of 1) and 2) to analyze the land surface temperature with split window algorithm. The research results indicated that the analysis of the data from Landsat-8 OLI/TIR satellites in 18 March 2015 indicated a mean temperature of 33.57 °C.
Źródło:: Journal of Ecological Engineering; 2017, 18, 3; 53-60
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 10.

Tytuł:: Two Decades (2000–2020) Measuring Urban Sprawl Using GIS, RS and Landscape Metrics: a Case Study of Municipality of Prishtina (Kosovo)
Autorzy:: Berila, Albert
Isufi, Florim
Powiązania:: https://bibliotekanauki.pl/articles/1838290.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: GIS
remote sensing
landscape metrics
urban sprawl
municipality of Prishtina
Opis:: Since the appearance on Earth, human has been constantly operating in nature, exploiting its riches, but also adapting it to its own needs. Both developing and developed countries are constantly concerned about the urbanization process. Urbanization, in order to be positive, must be developed correctly. If such a thing does not happen, then this development will negatively affect both the environment and human health. In order to develop adequate strategies and policies for the most sustainable and effective land use management, it is necessary to quantify, monitor, determine the factors that have influenced this change in land use and the spread mapping of the urban environment. In this study, Landsat satellite images were used to determine the spatial-temporal characteristics of the urban sprawl environment in the Municipality of Prishtina for a period of 20 years (2000-2020). To map the land cover for Prishtina from 2000 to 2020, the Supervised maximum likelihood classification was used using the Landsat ETM + and OLI data archives in ArcGIS 10.5 software. Using landscape metrics and detection techniques after the classification of satellite images, enabled and assisted in the evaluation and analysis of trends and patterns of urban sprawl. The determination of the changes and the analysis made revealed that during the period 2000-2020, in Prishtina, there was an increase of the built areas by 16.46 km2 at the expense of the unbuilt areas. That there has been an increase in urban areas was also confirmed by the results of landscape metrics.
Źródło:: Journal of Ecological Engineering; 2021, 22, 6; 114-125
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 11.

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

Zmień widok

na półce

Skocz do pozycji: 12.

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

Zmień widok

na półce

Skocz do pozycji: 13.

Tytuł:: Assessment of Biotope Suitability of Desert Locust (Schistocerca gregaria) in the Region of Hoggar (Southern Algerian Sahara)
Autorzy:: Boultif, Meriem
Boulghobra, Nouar
Bakroune, Nourelhouda
Deghiche-Diab, Nacima
Powiązania:: https://bibliotekanauki.pl/articles/2173360.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: desert locust
biotope
GIS
geographic information system
remote sensing
mapping
Algeria
Opis:: Upsurges of desert locusts can cause heavy economic and agricultural losses and threaten the food security of millions of people over dozens of countries. Therefore, monitoring and spatial delimitation of their habitats are necessary for biological control studies and sampling, especially on large surfaces. This study aimed to assess and map suitable biotopes for desert locusts in southern Algeria, through a GIS tool, by integrating multicriteria analysis (Analytical Hierarchy Process) as a decision-making tool for preventive methods, biological control and research. The result is a resolution map, classified into four different zones according to pixel values. The results revealed that 28.51% of the study area is an unsuitable biotope for desert locusts, 35.92% is a survival biotope, 19.5% is a suitable biotope mainly for breeding and eggs lying and 16.05% is highly suitable for desert locust gregarization and concentration. This study offers a simplified mapping procedure to assess locust habitats for decision-making and studies in large areas.
Źródło:: Journal of Ecological Engineering; 2022, 23, 9; 171--180
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 14.

Tytuł:: Sweet Corn Yield Simulation Using Normalized Difference Vegetation Index and Leaf Area Index
Autorzy:: Lykhovyd, Pavlo
Powiązania:: https://bibliotekanauki.pl/articles/124254.pdf
Data publikacji:: 2020
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: direct measurement
mathematical model
regression analysis
remote sensing
sweet corn
yield prediction
Opis:: The authors determined the accuracy and reliability of yielding models by using the values of two differently obtained indices – the leaf area index (LAI) obtained through direct surface measurements, and the normalized difference vegetation index (NDVI) obtained through spatial remote sensing of crops. The study based on the drip-irrigated sweet corn yielded the data obtained in the field experiment held in the semi-arid climate on darkchestnut soil in the South of Ukraine. The suitability of the LAI and NDVI for the simulation of sweet corn yields was estimated by the regression analysis of the yielding data by correlation (R) and determination (R²) coefficients. Additionally, mathematical models for the crop yields estimation based on the regression analysis were developed. It was determined that LAI is a more suitable index for the crop yield prediction: the R² value was 0.92 and 0.94 against 0.85 for the NDVI-based models.I It was determined that it is better to use the LAI values obtained at the stage of flowering, when R² averaged to 0.94, and the NDVI-based models does not depend on the crop stage (the R² was 0.85 both for the flowering and ripening stages of the plant development). The combined NDVI-LAI model showed that there is no necessity in the complication of the LAI-based model through introduction of the remotely sensed index because of insignificant improvement in the performance (R² was 0.94 and 0.92).
Źródło:: Journal of Ecological Engineering; 2020, 21, 3; 228-236
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 15.

Tytuł:: Porównanie metody Gumińskiego i teledetekcji satelitarnej w aspekcie wyznaczania dat początku okresu wegetacyjnego na obszarze Polski
Comparison of Gumiński and satellite remote sensing methods in terms of determining the dates of the onset of the growing season in Poland
Autorzy:: Bartoszek, K.
Siłuch, M.
Powiązania:: https://bibliotekanauki.pl/articles/401083.pdf
Data publikacji:: 2015
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: teledetekcja satelitarna
okres wegetacji
MODIS
EVI
aktywność fotosyntetyczna
remote sensing
growing season
photosynthetic activity
Opis:: Celem niniejszej pracy było porównanie dat początku okresu wegetacyjnego (OW) na obszarze Polski w okresie 2001–2010, które wyznaczono na podstawie dwóch niezależnych metod. Do wyznaczania dat metodą Gumińskiego wykorzystano średnie miesięczne wartości temperatury powietrza z punktów gridowych rozmieszczonych na terenie kraju. Natomiast do określenia dat początku OW metodą teledetekcji satelitarnej wykorzystano dane pochodzące z NASA LP DAAC, które były wynikiem pomiarów wykonywanych przez wielospektralny skaner MODIS umieszczony na satelitach Terra i Aqua. Wykazana została znaczna zgodność średnich terminów początku OW w Polsce wyznaczonych tymi dwoma metodami, co może sugerować istotny wpływ czynnika termicznego na wzrost aktywności fotosyntetycznej roślinności po okresie zimowym. Obydwie metody potwierdziły, że przeciętnie najwcześniej początek OW występuje w południowo-zachodniej części kraju, natomiast najpóźniej w Polsce Północnej i na obszarach górskich.
The aim of the paper is to compare the dates of the onset of the growing season in Poland in the period 2001–2010, which were determined on the basis of two independent methods. The dates determined by Gumiński method based on gridded monthly mean air temperature over Poland area. In turn, satellite data extracted from NASA LP DAAC product, which were the result of measurements performed with multispectral scanner (MODIS) on the Terra and Aqua satellites. It was demonstrated that the average dates of the onset of the growing season in Poland determined by two methods did not differ significantly. It may suggest a significant impact of thermal factor on the increase in the photosynthetic activity of vegetation after the winter months. Both methods confirmed that the earliest average dates of the onset of the growing season occur in the southwestern part of the country, and the latest in northern Poland and in the mountain areas.
Źródło:: Inżynieria Ekologiczna; 2015, 45; 99-105
2081-139X
2392-0629
Pojawia się w:: Inżynieria Ekologiczna
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Informacja

Wyszukujesz frazę "sensing" wg kryterium: Temat

Źródło danych

Dostawca treści

Kolekcja

Rok wydania

Wydawca

Temat

Autor

Typ dokumentu

Język