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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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High-Resolution Soil Moisture Product for India, 1981-2024

Research datakeyboard_double_arrow_right Dataset 20 May 2025Publisher:Zenodo
Authors: Abhishek, Abhishek; SINGH CHUPHAL, DIPESH; Kushwaha, Anuj Prakash; Mishra, Vimal;

doi: 10.5281/zenodo.15469972 , 10.5281/zenodo.15469971

High-Resolution Soil Moisture Product for India, 1981-2024

Abstract

This dataset provides daily root-zone soil moisture (RZSM) estimates over India at 0.05° (~5 km) spatial resolution for the period 1981–2024. The data were generated using a machine learning approach that combines outputs from the calibrated H08 land surface model with SMAP satellite observations. A grid-wise Random Forest model was trained using data from 2016–2024, with input features including H08-simulated soil moisture, evapotranspiration, precipitation, and temperature. The resulting dataset offers high-resolution, long-term soil moisture estimates tailored for hydrological and agricultural studies across India.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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