ORIGINAL RESEARCH
Remote Sensing Based Agricultural Drought
Index for Pudukkottai District in Tamilnadu
State, India: An ANN approach
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1
Institute of Remote Sensing, Department of Civil Engineering, Anna University, Chennai, India
2
Centre for Water Resources, Department of Civil Engineering, Anna University, Chennai, India
Submission date: 2025-05-03
Final revision date: 2025-07-03
Acceptance date: 2025-07-31
Online publication date: 2025-12-01
Corresponding author
Kavinraj A
Institute of Remote Sensing, Department of Civil Engineering, Anna University, 600025, Chennai, India
KEYWORDS
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ABSTRACT
Globally, one of the most significant disasters is agricultural drought. The study area considered
in this research paper is Pudukkottai District in Tamil Nadu State, India. The Bhalme and Mooley
Drought Index (BMDI) is mostly practiced in India for assessing agricultural drought conditions
using ground data. Availability of ground data is a serious concern in India, as it involves a laborious,
tedious, and time-consuming data collection process. Remote sensing-based data collection will solve
this problem. This study calculated the BMDI along with ten existing remote sensing-based agricultural
drought indices (RSADIs) for the period from 2000-01 to 2022-23. The calculations were performed
using Google Earth Engine (GEE) with Landsat imagery, and the RSADI produced results closer to
BMDI were identified. The highest Pearson Correlation Coefficient (PCC) of 0.50 was obtained for
NDTI with BMDI. Since the PCC value of 0.50 is less, NDTI cannot be accepted. Therefore, a new
ANN-based RSADI with a higher PCC value of 0.87 with BMDI has been developed in this study.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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