A combined drought index for monitoring and assessment of drought severity over India by integrating CHIRPS, MODIS and GRACE data.
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| Title: | A combined drought index for monitoring and assessment of drought severity over India by integrating CHIRPS, MODIS and GRACE data. |
|---|---|
| Authors: | Tarate, Suryakant Bajirao1 (AUTHOR) taratesuryakant01@gmail.com, Patel, N. R.2 (AUTHOR) nrpatel@iirs.gov.in, Danodia, Abhishek2 (AUTHOR) abhidanodia@iirs.gov.in |
| Source: | Environment, Development & Sustainability. Jun2026, Vol. 28 Issue 6, p14731-14754. 24p. |
| Subject Terms: | *Analytic hierarchy process, *Multiple criteria decision making, *Environmental indicators, *Remote sensing, *Crop yields, *Drought tolerance |
| Geographic Terms: | India |
| Abstract: | In this study, a novel approach was introduced to assess drought severity across India with a specific focus on Kharif seasonal crops. This approach utilized the Analytical Hierarchy Process (AHP) to establish a Multi-Criteria Decision-Making (MCDM) based Combined Drought Index (CDI). Remote sensing datasets from multiple sensors, including long-term Moderate Resolution Imaging Spectroradiometer (MODIS) satellite Normalized Difference Vegetation Index (NDVI) data, rainfall data from Climate Hazards Group Infrared Precipitation with Station (CHIRPS) data and Terrestrial Water Storage Anomalies (TWSA) data from Gravity Recovery and Climate Experiment (GRACE) satellite, were utilized for quantification over the period spanning from 2002 to 2022. The CDI is created by combining three multispectral indices, namely the Vegetation Condition Index (VCI), Precipitation Condition Index (PCI) and Terrestrial Water Storage Anomaly Condition Index (TWSACI) using weightage derived from the AHP under three different scenarios. In AHP, the consistency ratio (CR) for Scenario-1 (S-1), Scenario-2 (S-2) and Scenario-3 (S-3) was found to be 5.6%, 1.9% and 5.6%, respectively. In the major dryland areas of India, the statistical analysis showed a significant correlation between crop yield anomalies (CYA) and the CDI for different crops. Therefore, by utilizing a geospatial platform-based strategy that makes use of past earth observations, combines AHP, and includes expert advice in order to determine variables and their weights, this methodology can be made more practical, effective, and easily applicable for further assessments carried out in different areas in the future. Finally, drought risk or severity for different crop ecosystems may be addressed by remote sensing using an integrated approach developed from multi-sensor satellite datasets. The findings of this study have the capability to significantly contribute to the development of targeted drought mitigation strategies and the reduction of disaster risks at both regional as well as national scales. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194093199 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A combined drought index for monitoring and assessment of drought severity over India by integrating CHIRPS, MODIS and GRACE data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tarate%2C+Suryakant+Bajirao%22">Tarate, Suryakant Bajirao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> taratesuryakant01@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Patel%2C+N%2E+R%2E%22">Patel, N. R.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> nrpatel@iirs.gov.in</i><br /><searchLink fieldCode="AR" term="%22Danodia%2C+Abhishek%22">Danodia, Abhishek</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> abhidanodia@iirs.gov.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Jun2026, Vol. 28 Issue 6, p14731-14754. 24p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Analytic+hierarchy+process%22">Analytic hierarchy process</searchLink><br />*<searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+indicators%22">Environmental indicators</searchLink><br />*<searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br />*<searchLink fieldCode="DE" term="%22Crop+yields%22">Crop yields</searchLink><br />*<searchLink fieldCode="DE" term="%22Drought+tolerance%22">Drought tolerance</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this study, a novel approach was introduced to assess drought severity across India with a specific focus on Kharif seasonal crops. This approach utilized the Analytical Hierarchy Process (AHP) to establish a Multi-Criteria Decision-Making (MCDM) based Combined Drought Index (CDI). Remote sensing datasets from multiple sensors, including long-term Moderate Resolution Imaging Spectroradiometer (MODIS) satellite Normalized Difference Vegetation Index (NDVI) data, rainfall data from Climate Hazards Group Infrared Precipitation with Station (CHIRPS) data and Terrestrial Water Storage Anomalies (TWSA) data from Gravity Recovery and Climate Experiment (GRACE) satellite, were utilized for quantification over the period spanning from 2002 to 2022. The CDI is created by combining three multispectral indices, namely the Vegetation Condition Index (VCI), Precipitation Condition Index (PCI) and Terrestrial Water Storage Anomaly Condition Index (TWSACI) using weightage derived from the AHP under three different scenarios. In AHP, the consistency ratio (CR) for Scenario-1 (S-1), Scenario-2 (S-2) and Scenario-3 (S-3) was found to be 5.6%, 1.9% and 5.6%, respectively. In the major dryland areas of India, the statistical analysis showed a significant correlation between crop yield anomalies (CYA) and the CDI for different crops. Therefore, by utilizing a geospatial platform-based strategy that makes use of past earth observations, combines AHP, and includes expert advice in order to determine variables and their weights, this methodology can be made more practical, effective, and easily applicable for further assessments carried out in different areas in the future. Finally, drought risk or severity for different crop ecosystems may be addressed by remote sensing using an integrated approach developed from multi-sensor satellite datasets. The findings of this study have the capability to significantly contribute to the development of targeted drought mitigation strategies and the reduction of disaster risks at both regional as well as national scales. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10668-024-05555-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 14731 Subjects: – SubjectFull: Analytic hierarchy process Type: general – SubjectFull: Multiple criteria decision making Type: general – SubjectFull: Environmental indicators Type: general – SubjectFull: Remote sensing Type: general – SubjectFull: Crop yields Type: general – SubjectFull: Drought tolerance Type: general – SubjectFull: India Type: general Titles: – TitleFull: A combined drought index for monitoring and assessment of drought severity over India by integrating CHIRPS, MODIS and GRACE data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tarate, Suryakant Bajirao – PersonEntity: Name: NameFull: Patel, N. R. – PersonEntity: Name: NameFull: Danodia, Abhishek IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1387585X Numbering: – Type: volume Value: 28 – Type: issue Value: 6 Titles: – TitleFull: Environment, Development & Sustainability Type: main |
| ResultId | 1 |
