MODIS NDVI Modified Z-score for Evaluating Drought Incidence of Rice Areas in the Mekong Delta

Extreme climate events such as flood, drought, and high temperature are expected to increase in frequency and intensity with climate change. Mapping and characterization of food production areas at risk can help in better targeting innovations and in enhancing the resilience of affected communities....

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Detalles Bibliográficos
Autores principales: Aunario, Jorrel Khalil, Laborte, Alice G.
Formato: Póster
Lenguaje:Inglés
Publicado: International Rice Research Institute 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/132816
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author Aunario, Jorrel Khalil
Laborte, Alice G.
author_browse Aunario, Jorrel Khalil
Laborte, Alice G.
author_facet Aunario, Jorrel Khalil
Laborte, Alice G.
author_sort Aunario, Jorrel Khalil
collection Repository of Agricultural Research Outputs (CGSpace)
description Extreme climate events such as flood, drought, and high temperature are expected to increase in frequency and intensity with climate change. Mapping and characterization of food production areas at risk can help in better targeting innovations and in enhancing the resilience of affected communities. In this study, we used two decades of the Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI)[1][2] from 2003 to 2022 to map drought incidence in rice areas in the Mekong Delta, a densely populated region and an important source of rice for domestic and export markets.
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spelling CGSpace1328162024-11-07T09:36:30Z MODIS NDVI Modified Z-score for Evaluating Drought Incidence of Rice Areas in the Mekong Delta Aunario, Jorrel Khalil Laborte, Alice G. climate change food systems deltas climate change mitigation food security agriculture Extreme climate events such as flood, drought, and high temperature are expected to increase in frequency and intensity with climate change. Mapping and characterization of food production areas at risk can help in better targeting innovations and in enhancing the resilience of affected communities. In this study, we used two decades of the Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI)[1][2] from 2003 to 2022 to map drought incidence in rice areas in the Mekong Delta, a densely populated region and an important source of rice for domestic and export markets. 2023-10-16 2023-11-08T06:57:09Z 2023-11-08T06:57:09Z Poster https://hdl.handle.net/10568/132816 en Open Access application/pdf International Rice Research Institute Aunario, J.K.S. and Laborte, A.G. 2023. MODIS NDVI Modified Z-score for Evaluating Drought Incidence of Rice Areas in the Mekong Delta. Poster prepared for the 6th International Rice Congress, Manila, Philippines, 16-19 October 2023. Los Baños, Philippines: IRRI.
spellingShingle climate change
food systems
deltas
climate change mitigation
food security
agriculture
Aunario, Jorrel Khalil
Laborte, Alice G.
MODIS NDVI Modified Z-score for Evaluating Drought Incidence of Rice Areas in the Mekong Delta
title MODIS NDVI Modified Z-score for Evaluating Drought Incidence of Rice Areas in the Mekong Delta
title_full MODIS NDVI Modified Z-score for Evaluating Drought Incidence of Rice Areas in the Mekong Delta
title_fullStr MODIS NDVI Modified Z-score for Evaluating Drought Incidence of Rice Areas in the Mekong Delta
title_full_unstemmed MODIS NDVI Modified Z-score for Evaluating Drought Incidence of Rice Areas in the Mekong Delta
title_short MODIS NDVI Modified Z-score for Evaluating Drought Incidence of Rice Areas in the Mekong Delta
title_sort modis ndvi modified z score for evaluating drought incidence of rice areas in the mekong delta
topic climate change
food systems
deltas
climate change mitigation
food security
agriculture
url https://hdl.handle.net/10568/132816
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