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Table 1 Datasets used for implementation of various methods for the Gujarat State, India

From: Assessment of forest fire severity and land surface temperature using Google Earth Engine: a case study of Gujarat State, India

S.No

Methods applied

Datasets used

1

NBR methodology

Sentinel-2 (A&B)

2

Elevation

NASADEM is a reprocessing of STRM data, with improved accuracy by incorporating auxiliary data from ASTER GDEM, ICESat GLAS, and PRISM datasets

3

NDVI

MOD13Q1.006 Terra Vegetation Indices 16-Day Global 25

4

Precipitation

CHIRPS Pentad: Climate Hazards Group InfraRed

5

LST

MOD11A2.061 Terra Land Surface Temperature

6

Drainage density

USGS/SRTMGL1_003

7

TWI

USGS/SRTMGL1_003, WWF/HydroSHEDS/03CONDEM

8

Slope and aspect

USGS/SRTMGL1_003, COPERNICUS/S2_SR

9

LST prediction

MOD13Q1.061 Terra Vegetation Indices 16-Day Global, NASADEM: NASA NASADEM Digital Elevation 30 m, openLandMap/CLM/CLP1 PRECIPITATION SM2RAIN