A Smart Data Fusion System for Enhanced Agriculture Drought Monitoring: Integrating Multi-source Remote Sensing and Meteorological streams

Description

This study evaluates agricultural drought using remote sensing and precipitation datasets from Google Earth Engine, including MOD13Q1 v6.1, MOD11A2 v6.1, and CHIRPS Daily rainfall data. SPI, VCI, TCI, and VHI were derived to identify drought severity and vegetation stress. The results show strong relationships between rainfall deficit, temperature stress, and vegetation health. The datasets support drought monitoring, spatial analysis, and reproduction of graphs and research findings. Data Availability and Description A separate data folder has been prepared containing all the required datasets used for reproducing the graphs, analysis, and results presented in this agricultural drought research work. The datasets included in the folder are listed below along with their brief descriptions: 1. Drought fusion framework.xlsx Contains the integrated agricultural drought assessment framework and combined drought indicator analysis used in the study. 2. SPI_3M_results.csv Standardized Precipitation Index (SPI) results calculated at a 3-month time scale, representing short-term meteorological drought conditions. 3. SPI_6M_results.csv SPI results computed at a 6-month time scale, representing medium-term drought variability and seasonal moisture conditions. 4. SPI_12M_results.csv SPI results calculated at a 12-month time scale, representing long-term drought conditions and annual precipitation anomalies. 5. Temperature condition index.xlsx Dataset containing the Temperature Condition Index (TCI), used to evaluate thermal stress and vegetation response under drought conditions. 6. **Vegetation condition index.xlsx** Contains the Vegetation Condition Index (VCI) data derived from vegetation-based remote sensing indicators for monitoring vegetation stress. 7. Vegetation health condition.xlsx Includes Vegetation Health Index (VHI) or related vegetation health parameters used for assessing agricultural drought severity and crop health conditions. These datasets are provided to ensure transparency, reproducibility, and validation of the research findings presented in the study.

Institutions

• Vellore Institute of Technology University

  Tamil Nadu, Vellore

Categories

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