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Wyszukujesz frazę "MODIS NDVI" wg kryterium: Temat


Wyświetlanie 1-3 z 3
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:
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:
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
    Wyświetlanie 1-3 z 3

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