ASSESSING 2016 DROUGHT PROGRESSION OVER INDIA USING REMOTE SENSING DATA FOR THE PERIOD 2006-2015

Detalhes bibliográficos
Autor(a) principal: Azevedo, Samara C. de [UNESP]
Data de Publicação: 2017
Outros Autores: Singh, Ramesh P., Silva, Erivaldo A. da [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/163967
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 2006-2015DroughtMODIS NDVILSTIndiaDrought 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.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ UNESP, Dept Cartog, Grad Program Cartog Sci, Campus Presidente Prudente, BR-19060900 Sao Paulo, SP, BrazilChapman Univ, Schmid Coll Sci & Technol, Sch Life & Environm Sci, Orange, CA 92866 USASao Paulo State Univ UNESP, Dept Cartog, Grad Program Cartog Sci, Campus Presidente Prudente, BR-19060900 Sao Paulo, SP, BrazilFAPESP: 2015/26743-5IeeeUniversidade Estadual Paulista (Unesp)Chapman UnivAzevedo, Samara C. de [UNESP]Singh, Ramesh P.Silva, Erivaldo A. da [UNESP]IEEE2018-11-26T17:48:35Z2018-11-26T17:48:35Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject3510-35132017 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 3510-3513, 2017.2153-6996http://hdl.handle.net/11449/163967WOS:000426954603150Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2017 Ieee International Geoscience And Remote Sensing Symposium (igarss)info:eu-repo/semantics/openAccess2024-06-18T15:02:40Zoai:repositorio.unesp.br:11449/163967Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:38:17.398176Repositório 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
Azevedo, Samara C. de [UNESP]
Drought
MODIS NDVI
LST
India
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 Azevedo, Samara C. de [UNESP]
author_facet Azevedo, Samara C. de [UNESP]
Singh, Ramesh P.
Silva, Erivaldo A. da [UNESP]
IEEE
author_role author
author2 Singh, Ramesh P.
Silva, Erivaldo A. da [UNESP]
IEEE
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Chapman Univ
dc.contributor.author.fl_str_mv Azevedo, Samara C. de [UNESP]
Singh, Ramesh P.
Silva, Erivaldo A. da [UNESP]
IEEE
dc.subject.por.fl_str_mv Drought
MODIS NDVI
LST
India
topic Drought
MODIS NDVI
LST
India
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 2017-01-01
2018-11-26T17:48:35Z
2018-11-26T17:48:35Z
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 2017 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 3510-3513, 2017.
2153-6996
http://hdl.handle.net/11449/163967
WOS:000426954603150
identifier_str_mv 2017 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 3510-3513, 2017.
2153-6996
WOS:000426954603150
url http://hdl.handle.net/11449/163967
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2017 Ieee 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.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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
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