Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015

Detalhes bibliográficos
Autor(a) principal: De Azevedo, Samara C. [UNESP]
Data de Publicação: 2017
Outros Autores: Singh, Ramesh P., Da Silva, Erivaldo A. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/IGARSS.2017.8127755
http://hdl.handle.net/11449/175867
Resumo: Drought occurrence is a gradual process with long-lasting effects and satellite remote sensing data help in the monitoring and severity of drought conditions. This paper analyzes MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data to study the vegetation stress associated with drought conditions over India. Dynamics of monthly Normalized Difference Vegetation Index (NDVI) and its association with climate conditions over 10 years period have been studied. We have considered satellite data for the period 2006-2015 from three highly stressed NDVI regions based on seasonal NDVI difference from 2015-2016. The drought conditions correspond to the pronounced changes in weather parameters (land surface temperature, air temperature, and relative humidity) and adjacent sea surface temperature. The detailed analysis of these parameters shows a close relation with reduction upto 13% in NDVI values in 2016 associated with a pronounced reduction in precipitation and increase in surface temperature.
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spelling Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015DroughtIndiaLSTMODIS NDVIDrought occurrence is a gradual process with long-lasting effects and satellite remote sensing data help in the monitoring and severity of drought conditions. This paper analyzes MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data to study the vegetation stress associated with drought conditions over India. Dynamics of monthly Normalized Difference Vegetation Index (NDVI) and its association with climate conditions over 10 years period have been studied. We have considered satellite data for the period 2006-2015 from three highly stressed NDVI regions based on seasonal NDVI difference from 2015-2016. The drought conditions correspond to the pronounced changes in weather parameters (land surface temperature, air temperature, and relative humidity) and adjacent sea surface temperature. The detailed analysis of these parameters shows a close relation with reduction upto 13% in NDVI values in 2016 associated with a pronounced reduction in precipitation and increase in surface temperature.Graduate Program in Cartographic Sciences Department of Cartography São Paulo State University (UNESP) Campus Presidente Prudente SPSchool of Life and Environmental Sciences Schmid College of Science and Technology Chapman UniversityGraduate Program in Cartographic Sciences Department of Cartography São Paulo State University (UNESP) Campus Presidente Prudente SPUniversidade Estadual Paulista (Unesp)Chapman UniversityDe Azevedo, Samara C. [UNESP]Singh, Ramesh P.Da Silva, Erivaldo A. [UNESP]2018-12-11T17:17:55Z2018-12-11T17:17:55Z2017-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject3510-3513http://dx.doi.org/10.1109/IGARSS.2017.8127755International Geoscience and Remote Sensing Symposium (IGARSS), v. 2017-July, p. 3510-3513.http://hdl.handle.net/11449/17586710.1109/IGARSS.2017.81277552-s2.0-85041841249Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Geoscience and Remote Sensing Symposium (IGARSS)info:eu-repo/semantics/openAccess2024-06-18T15:02:41Zoai:repositorio.unesp.br:11449/175867Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:15:51.082009Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015
title Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015
spellingShingle Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015
De Azevedo, Samara C. [UNESP]
Drought
India
LST
MODIS NDVI
title_short Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015
title_full Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015
title_fullStr Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015
title_full_unstemmed Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015
title_sort Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015
author De Azevedo, Samara C. [UNESP]
author_facet De Azevedo, Samara C. [UNESP]
Singh, Ramesh P.
Da Silva, Erivaldo A. [UNESP]
author_role author
author2 Singh, Ramesh P.
Da Silva, Erivaldo A. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Chapman University
dc.contributor.author.fl_str_mv De Azevedo, Samara C. [UNESP]
Singh, Ramesh P.
Da Silva, Erivaldo A. [UNESP]
dc.subject.por.fl_str_mv Drought
India
LST
MODIS NDVI
topic Drought
India
LST
MODIS NDVI
description Drought occurrence is a gradual process with long-lasting effects and satellite remote sensing data help in the monitoring and severity of drought conditions. This paper analyzes MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data to study the vegetation stress associated with drought conditions over India. Dynamics of monthly Normalized Difference Vegetation Index (NDVI) and its association with climate conditions over 10 years period have been studied. We have considered satellite data for the period 2006-2015 from three highly stressed NDVI regions based on seasonal NDVI difference from 2015-2016. The drought conditions correspond to the pronounced changes in weather parameters (land surface temperature, air temperature, and relative humidity) and adjacent sea surface temperature. The detailed analysis of these parameters shows a close relation with reduction upto 13% in NDVI values in 2016 associated with a pronounced reduction in precipitation and increase in surface temperature.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-01
2018-12-11T17:17:55Z
2018-12-11T17:17:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/IGARSS.2017.8127755
International Geoscience and Remote Sensing Symposium (IGARSS), v. 2017-July, p. 3510-3513.
http://hdl.handle.net/11449/175867
10.1109/IGARSS.2017.8127755
2-s2.0-85041841249
url http://dx.doi.org/10.1109/IGARSS.2017.8127755
http://hdl.handle.net/11449/175867
identifier_str_mv International Geoscience and Remote Sensing Symposium (IGARSS), v. 2017-July, p. 3510-3513.
10.1109/IGARSS.2017.8127755
2-s2.0-85041841249
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Geoscience and Remote Sensing Symposium (IGARSS)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 3510-3513
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129411601399808

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