Remote Sensing of Snow Parameters: A Sensitivity Study of Retrieval Performance Based on Hyperspectral versus Multispectral Data
Snow parameters have traditionally been retrieved using discontinuous, multi-band sensors; however, continuous hyperspectral sensors are now being developed as an alternative. In this paper, we investigate the performance of various sensor configurations using machine learning neural networks traine...
Main Authors: | Elliot Pachniak, Wei Li, Tomonori Tanikawa, Charles Gatebe, Knut Stamnes |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/16/10/493 |
Similar Items
-
Remote Sensing of Snow Cover Variability and Its Influence on the Runoff of Sápmi’s Rivers
by: Sebastian Rößler, et al.
Published: (2021-03-01) -
Linking lidar multiple scattering profiles to snow depth and snow density: an analytical radiative transfer analysis and the implications for remote sensing of snow
by: Yongxiang Hu, et al.
Published: (2023-09-01) -
Cloud–Snow Confusion with MODIS Snow Products in Boreal Forest Regions
by: Xiaoyan Wang, et al.
Published: (2022-03-01) -
An Assessment of Existing Methodologies to Retrieve Snow Cover Fraction from MODIS Data
by: Théo Masson, et al.
Published: (2018-04-01) -
Evaluation of Snowmelt Impacts on Flood Flows Based on Remote Sensing Using SRM Model
by: Mohammad Reza Goodarzi, et al.
Published: (2023-04-01)