|
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)
|
|
|
|
|
|