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Assessment of drought conditions using HJ-1A/1B data: a case study of Potohar region, Pakistan
Drought is a natural disaster which causes global damages and affects people. In this work, a comparative study of different drought indices such as Normalized Difference Vegetation Index (NDVI), Deviation NDVI (DevNDVI), Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) from HJ...
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Published in: | Geomatics, natural hazards and risk natural hazards and risk, 2018-01, Vol.9 (1), p.1019-1036 |
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description | Drought is a natural disaster which causes global damages and affects people. In this work, a comparative study of different drought indices such as Normalized Difference Vegetation Index (NDVI), Deviation NDVI (DevNDVI), Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) from HJ-1A/1B multispectral data is discussed. These indices have shown potential to detect the drought severity. The objective of this study is to monitor drought in the Potohar region using HJ-1A/1B satellite data, from late November to April during 2009-2014. Additionally, results obtained from satellite data have been verified using ground-based rainfall and crop yield data. The results concluded that the Potohar region faced drought condition in 2010, which is further verified by ground data. Furthermore, NDVI and VCI in this region are found more effective than other drought indices. On the basis of validation of individual drought index with crop yield data, each index is assigned weight accordingly. Moreover, the combination of indices has the ability to detect time periods where drought is affecting the yield production. Regular monitoring and mapping of satellite-based drought indices would play an important role in predicting drought conditions. |
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In this work, a comparative study of different drought indices such as Normalized Difference Vegetation Index (NDVI), Deviation NDVI (DevNDVI), Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) from HJ-1A/1B multispectral data is discussed. These indices have shown potential to detect the drought severity. The objective of this study is to monitor drought in the Potohar region using HJ-1A/1B satellite data, from late November to April during 2009-2014. Additionally, results obtained from satellite data have been verified using ground-based rainfall and crop yield data. The results concluded that the Potohar region faced drought condition in 2010, which is further verified by ground data. Furthermore, NDVI and VCI in this region are found more effective than other drought indices. On the basis of validation of individual drought index with crop yield data, each index is assigned weight accordingly. 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Published by Informa UK Limited, trading as Taylor & Francis Group. 2018</rights><rights>2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). 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In this work, a comparative study of different drought indices such as Normalized Difference Vegetation Index (NDVI), Deviation NDVI (DevNDVI), Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) from HJ-1A/1B multispectral data is discussed. These indices have shown potential to detect the drought severity. The objective of this study is to monitor drought in the Potohar region using HJ-1A/1B satellite data, from late November to April during 2009-2014. Additionally, results obtained from satellite data have been verified using ground-based rainfall and crop yield data. The results concluded that the Potohar region faced drought condition in 2010, which is further verified by ground data. Furthermore, NDVI and VCI in this region are found more effective than other drought indices. On the basis of validation of individual drought index with crop yield data, each index is assigned weight accordingly. 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Regular monitoring and mapping of satellite-based drought indices would play an important role in predicting drought conditions.</description><subject>Agricultural production</subject><subject>Comparative analysis</subject><subject>Comparative studies</subject><subject>Crop yield</subject><subject>Crops</subject><subject>Data</subject><subject>Drought</subject><subject>Drought conditions</subject><subject>Drought index</subject><subject>HJ-1A/1B CCD & IRS Data</subject><subject>Mapping</subject><subject>Natural disasters</subject><subject>NDVI</subject><subject>Normalized difference vegetative index</subject><subject>Potohar region of Pakistan</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Satellite data</subject><subject>Satellites</subject><subject>TCI</subject><subject>VCI</subject><subject>Vegetation</subject><subject>Vegetation 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In this work, a comparative study of different drought indices such as Normalized Difference Vegetation Index (NDVI), Deviation NDVI (DevNDVI), Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) from HJ-1A/1B multispectral data is discussed. These indices have shown potential to detect the drought severity. The objective of this study is to monitor drought in the Potohar region using HJ-1A/1B satellite data, from late November to April during 2009-2014. Additionally, results obtained from satellite data have been verified using ground-based rainfall and crop yield data. The results concluded that the Potohar region faced drought condition in 2010, which is further verified by ground data. Furthermore, NDVI and VCI in this region are found more effective than other drought indices. On the basis of validation of individual drought index with crop yield data, each index is assigned weight accordingly. 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subjects | Agricultural production Comparative analysis Comparative studies Crop yield Crops Data Drought Drought conditions Drought index HJ-1A/1B CCD & IRS Data Mapping Natural disasters NDVI Normalized difference vegetative index Potohar region of Pakistan Rain Rainfall Satellite data Satellites TCI VCI Vegetation Vegetation index |
title | Assessment of drought conditions using HJ-1A/1B data: a case study of Potohar region, Pakistan |
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