Association of vegetation indices with atmospheric & biological factors using MODIS time series products

Natural vegetation is a critical component of ecosystem change models and conservation efforts. Over nineteen years, this study explores the spatiotemporal dynamics of normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) with atmospheric, biological, and soil indicators,...

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Autores principales:	Ehsanul Bari, Nusrat Jahan Nipa, Bishal Roy
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/14e8351840034f56853c439e7b6d289f
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spelling	oai:doaj.org-article:14e8351840034f56853c439e7b6d289f2021-11-28T04:39:39ZAssociation of vegetation indices with atmospheric & biological factors using MODIS time series products2667-010010.1016/j.envc.2021.100376https://doaj.org/article/14e8351840034f56853c439e7b6d289f2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2667010021003504https://doaj.org/toc/2667-0100Natural vegetation is a critical component of ecosystem change models and conservation efforts. Over nineteen years, this study explores the spatiotemporal dynamics of normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) with atmospheric, biological, and soil indicators, and to determine whether a significant correlation exists between these indices in Bangladesh. We used the Google earth engine (GEE) for geospatial analysis using moderate resolution imaging spectroradiometer (MODIS) datasets to perform the study. Vegetation indices are positively correlated with land surface temperature (LST), Humidity, and Evapotranspiration. From 2000 to 2019, the average increase in vegetation cover (NDVI) was 0.1 to 0.3. LST changes from −6°C to +5°C in numerous places over the previous 19 years (increased in urban areas and mostly decreased in the north-eastern part). Due to increased human activity, LST in the northern part of the country has dropped and increased during the last nineteen years in the center and eastern parts. In the future, new studies on vegetation cover and its relationship to other factors, protection of nature, and resource allocation may benefit from the findings of this study.Ehsanul BariNusrat Jahan NipaBishal RoyElsevierarticleEnvironmental sciencesGE1-350ENEnvironmental Challenges, Vol 5, Iss , Pp 100376- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Ehsanul Bari Nusrat Jahan Nipa Bishal Roy Association of vegetation indices with atmospheric & biological factors using MODIS time series products
description	Natural vegetation is a critical component of ecosystem change models and conservation efforts. Over nineteen years, this study explores the spatiotemporal dynamics of normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) with atmospheric, biological, and soil indicators, and to determine whether a significant correlation exists between these indices in Bangladesh. We used the Google earth engine (GEE) for geospatial analysis using moderate resolution imaging spectroradiometer (MODIS) datasets to perform the study. Vegetation indices are positively correlated with land surface temperature (LST), Humidity, and Evapotranspiration. From 2000 to 2019, the average increase in vegetation cover (NDVI) was 0.1 to 0.3. LST changes from −6°C to +5°C in numerous places over the previous 19 years (increased in urban areas and mostly decreased in the north-eastern part). Due to increased human activity, LST in the northern part of the country has dropped and increased during the last nineteen years in the center and eastern parts. In the future, new studies on vegetation cover and its relationship to other factors, protection of nature, and resource allocation may benefit from the findings of this study.
format	article
author	Ehsanul Bari Nusrat Jahan Nipa Bishal Roy
author_facet	Ehsanul Bari Nusrat Jahan Nipa Bishal Roy
author_sort	Ehsanul Bari
title	Association of vegetation indices with atmospheric & biological factors using MODIS time series products
title_short	Association of vegetation indices with atmospheric & biological factors using MODIS time series products
title_full	Association of vegetation indices with atmospheric & biological factors using MODIS time series products
title_fullStr	Association of vegetation indices with atmospheric & biological factors using MODIS time series products
title_full_unstemmed	Association of vegetation indices with atmospheric & biological factors using MODIS time series products
title_sort	association of vegetation indices with atmospheric & biological factors using modis time series products
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/14e8351840034f56853c439e7b6d289f
work_keys_str_mv	AT ehsanulbari associationofvegetationindiceswithatmosphericampbiologicalfactorsusingmodistimeseriesproducts AT nusratjahannipa associationofvegetationindiceswithatmosphericampbiologicalfactorsusingmodistimeseriesproducts AT bishalroy associationofvegetationindiceswithatmosphericampbiologicalfactorsusingmodistimeseriesproducts
_version_	1718408242181177344

Association of vegetation indices with atmospheric &amp; biological factors using MODIS time series products

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Association of vegetation indices with atmospheric & biological factors using MODIS time series products