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Comparison of MODIS and Model-Derived Snow-Covered Areas: Impact of Land Use and Solar Illumination Conditions

Authors :
Nicola Di Marco
Maurizio Righetti
Diego Avesani
Mattia Zaramella
Claudia Notarnicola
Marco Borga
Source :
Geosciences, Vol 10, Iss 4, p 134 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Moderate resolution imaging spectroradiometry (MODIS) snow cover accuracy has been assessed in the past at different scales, with various approaches and in relation to the many factors influencing the remote observation of snow-covered areas (SCA). However, the challenge of fully characterizing MODIS accuracy over forest sites is still open. In this study, we exploit 5 years of data from the upper river Adige basin at Ponte Adige (Eastern Italian Alps) to condition an enhanced temperature index snowpack model accounting for model parameter uncertainty by using the Generalized Likelihood Uncertainty Estimation (GLUE) methodology. The simulated SCA is then compared with MODIS retrievals through a range of different statistical metrics to investigate how land use and solar illumination conditions affect such comparison. In particular, the Overall Accuracy index (OA) is used to quantify the agreement between satellite-derived and simulated SCA on a pixel-by-pixel basis. Analyzing the spatial variability either of the median OA and its range shows that illumination conditions over forested canopies represent a major source of uncertainty in MODIS SCA. Exploiting this finding, we identify the minimum level of incoming short-wave radiation for accurate use of MODIS SCA in forest areas.

Details

Language :
English
ISSN :
20763263
Volume :
10
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Geosciences
Publication Type :
Academic Journal
Accession number :
edsdoj.7ad09ceb74b74659a1424df834aed52d
Document Type :
article
Full Text :
https://doi.org/10.3390/geosciences10040134