ALST-W integrated index for enhanced surface temperature mapping of water bodies and vegetation using Landsat 8/9 satellite bands.

Sam Navin MohanRajan, Agilandeeswari Loganthan, Prabukumar Manoharan

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

3 authors.

Sam Navin MohanRajanSchool of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, TN, India.

Agilandeeswari LoganthanSchool of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, TN, India. agila.l@vit.ac.in.

Prabukumar ManoharanSchool of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, TN, India. mprabukumar@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers are developing new methods to analyze changes in satellite data across various locations using remote sensing and geographic information systems (GIS). Land Surface Temperature (LST) maps are important indices for understanding changes in global land use and land cover (LU/LC). This study introduces the ALST-W (Adaptive Land Surface Temperature of Water Bodies) index to investigate the impact of water bodies on the LST map of the non-forest-covered Javadi Hills region, India, using Landsat 9/8 images for 2020, 2022, and 2024. The ALST-W results were compared with reference maps from Google Earth Engine (GEE), and the findings showed a good average accuracy of 95.06%. This study introduces the new index of the ALST-W, which displays the temperature data for high and low vegetation, along with the water bodies in a single raster map. The information from this work helps communities and policymakers understand environmental changes and take informed actions to protect vegetation and water bodies from significant future loss.

Indexed as

Adaptive land surface temperature of water bodiesGeographic information systemsGoogle earth engineLand surface temperatureLand use/land coverRemote sensing

Identifiers

PMID40634345

DOI10.1038/s41598-025-09247-w

PMCPMC12241483

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.