Response of semi-arid vegetation to agricultural drought determined by indices derived from MODIS satellite

ABSTRACT Indices based on data from remote sensors play an important role in the characterization, mapping and monitoring of a drought event. Thus, the objective of this study was to monitor the dynamics of agricultural drought, through the response of vegetation, in the semi-arid region that compri...
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Gespeichert in:

Autor*in:	Sabrina C. de Lima [verfasserIn] João M. de Moraes Neto [verfasserIn] Josilene P. Lima [verfasserIn] Felipe C. de Lima [verfasserIn] Luciano M. F. Saboya [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; Spanisch ; Portugiesisch

Erschienen:	2023

Schlagwörter:	vegetation health index (VHI) vegetation condition index (VCI) thermal condition index (TCI) drought indexes NDVI

Übergeordnetes Werk:	In: Revista Brasileira de Engenharia Agrícola e Ambiental - Agriambi - Universidade Federal de Campina Grande, 2004, 27(2023), 8, Seite 632-642
Übergeordnetes Werk:	volume:27 ; year:2023 ; number:8 ; pages:632-642

Links:	Link aufrufen Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1590/1807-1929/agriambi.v27n8p632-642

Katalog-ID:	DOAJ090220412

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language	English Spanish Portuguese
source	In Revista Brasileira de Engenharia Agrícola e Ambiental - Agriambi 27(2023), 8, Seite 632-642 volume:27 year:2023 number:8 pages:632-642
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author	Sabrina C. de Lima
spellingShingle	Sabrina C. de Lima misc S1-972 misc vegetation health index (VHI) misc vegetation condition index (VCI) misc thermal condition index (TCI) misc drought indexes misc NDVI misc Agriculture (General) Response of semi-arid vegetation to agricultural drought determined by indices derived from MODIS satellite
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topic_title	S1-972 Response of semi-arid vegetation to agricultural drought determined by indices derived from MODIS satellite vegetation health index (VHI) vegetation condition index (VCI) thermal condition index (TCI) drought indexes NDVI
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title	Response of semi-arid vegetation to agricultural drought determined by indices derived from MODIS satellite
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title_sort	response of semi-arid vegetation to agricultural drought determined by indices derived from modis satellite
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title_auth	Response of semi-arid vegetation to agricultural drought determined by indices derived from MODIS satellite
abstract	ABSTRACT Indices based on data from remote sensors play an important role in the characterization, mapping and monitoring of a drought event. Thus, the objective of this study was to monitor the dynamics of agricultural drought, through the response of vegetation, in the semi-arid region that comprises the state of Paraíba, Brazil, through MODIS satellite products applied to the VCI (vegetation condition index), TCI (temperature condition index) and VHI (vegetation health index) indices, and to evaluate the correspondence of VHI index with standardized precipitation index (SPI) and agricultural standardized precipitation index (aSPI). In this study, values of NDVI (normalized difference vegetation index) and LST (land surface temperature) - covering the period between 2010 and 2020 - were used to estimate VCI, TCI and VHI. In addition, the correspondence of VHI with SPI and aSPI was evaluated at the 12-month time scale, conducted using Pearson’s correlation analysis. Characteristics of a stressed vegetation predominated in the study region, due to irregularity of precipitation and high temperatures, confirming the possibility of detection of droughts through VHI, VCI and TCI, and that the indices detected remotely and through local data are strongly correlated in drought detection.
abstractGer	ABSTRACT Indices based on data from remote sensors play an important role in the characterization, mapping and monitoring of a drought event. Thus, the objective of this study was to monitor the dynamics of agricultural drought, through the response of vegetation, in the semi-arid region that comprises the state of Paraíba, Brazil, through MODIS satellite products applied to the VCI (vegetation condition index), TCI (temperature condition index) and VHI (vegetation health index) indices, and to evaluate the correspondence of VHI index with standardized precipitation index (SPI) and agricultural standardized precipitation index (aSPI). In this study, values of NDVI (normalized difference vegetation index) and LST (land surface temperature) - covering the period between 2010 and 2020 - were used to estimate VCI, TCI and VHI. In addition, the correspondence of VHI with SPI and aSPI was evaluated at the 12-month time scale, conducted using Pearson’s correlation analysis. Characteristics of a stressed vegetation predominated in the study region, due to irregularity of precipitation and high temperatures, confirming the possibility of detection of droughts through VHI, VCI and TCI, and that the indices detected remotely and through local data are strongly correlated in drought detection.
abstract_unstemmed	ABSTRACT Indices based on data from remote sensors play an important role in the characterization, mapping and monitoring of a drought event. Thus, the objective of this study was to monitor the dynamics of agricultural drought, through the response of vegetation, in the semi-arid region that comprises the state of Paraíba, Brazil, through MODIS satellite products applied to the VCI (vegetation condition index), TCI (temperature condition index) and VHI (vegetation health index) indices, and to evaluate the correspondence of VHI index with standardized precipitation index (SPI) and agricultural standardized precipitation index (aSPI). In this study, values of NDVI (normalized difference vegetation index) and LST (land surface temperature) - covering the period between 2010 and 2020 - were used to estimate VCI, TCI and VHI. In addition, the correspondence of VHI with SPI and aSPI was evaluated at the 12-month time scale, conducted using Pearson’s correlation analysis. Characteristics of a stressed vegetation predominated in the study region, due to irregularity of precipitation and high temperatures, confirming the possibility of detection of droughts through VHI, VCI and TCI, and that the indices detected remotely and through local data are strongly correlated in drought detection.
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title_short	Response of semi-arid vegetation to agricultural drought determined by indices derived from MODIS satellite
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Characteristics of a stressed vegetation predominated in the study region, due to irregularity of precipitation and high temperatures, confirming the possibility of detection of droughts through VHI, VCI and TCI, and that the indices detected remotely and through local data are strongly correlated in drought detection.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">vegetation health index (VHI)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">vegetation condition index (VCI)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">thermal condition index (TCI)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">drought indexes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">NDVI</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Agriculture (General)</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">João M. de Moraes Neto</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Josilene P. 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Response of semi-arid vegetation to agricultural drought determined by indices derived from MODIS satellite

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