Publication
Title
Soil moisture content estimation from hyperspectral remote sensing data
Author
Abstract
Because of its significant absorption power, particularly in the SWIR optical region (e.g., absorption features around 1400 and 1900 nm), water dominates the optical reflectance properties of water-bearing materials. This allows us to study a material’s water-related features, such as its moisture content from optical reflectance. In this study, we proposed a framework to estimate soil moisture content from hyperspectral remote sensing data. Validation is performed on Hyperion hyperspectral satellite imagery and ground-truth data from the Soil Moisture Network database.
Language
English
Source (book)
2023 13th Workshop on Hyperspectral Imaging and Signal Processing : Evolution in Remote Sensing (WHISPERS), 31 October 2023 - 02 November, 2023, Athens, Greece
Publication
2023
ISBN
979-83-503-9557-0
DOI
10.1109/WHISPERS61460.2023.10431194
Volume/pages
p. 1-5
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 20.02.2024
Last edited 24.02.2024
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