Comparing MODIS snow products Collection 5 with Collection 6 over Italian Central Apennines-Reference-Cited by-同舟云学术

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Comparing MODIS snow products Collection 5 with Collection 6 over Italian Central Apennines

Published:2020-02-03 Issue:11 Volume:41 Page:4174-4205
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Da Ronco Pierfrancesco¹,Avanzi Francesco²,De Michele Carlo¹,Notarnicola Claudia³,Schaefli Bettina⁴

Affiliation:

1. Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy

2. Department of Civil and Environmental Engineering, University of California Berkeley, Berkeley, CA, USA

3. Institute for Earth Observation, EURAC, Bolzano, Italy

4. Institute of Earth Surface Dynamics, Université de Lausanne, Lausanne, Switzerland

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1714778

Reference78 articles.

1. Evaluation of spatial variability in snow water equivalent for a high mountain catchment

2. Validation of the MODIS snow product and cloud mask using student and NWS cooperative station observations in the Lower Great Lakes Region

3. A processing–modeling routine to use SNOTEL hourly data in snowpack dynamic models

4. Increasing Great Lake–Effect Snowfall during the Twentieth Century: A Regional Response to Global Warming?

5. Scale‐dependent effects of solar radiation patterns on the snow‐dominated hydrologic response

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1. Potential of snow data to improve the consistency and robustness of a semi-distributed hydrological model using the SAFRAN input dataset;Journal of Hydrology;2024-03

2. A random forest approach to quality-checking automatic snow-depth sensor measurements;The Cryosphere;2023-12-15

3. Evaluating MODIS snow products using an extensive wildlife camera network;Remote Sensing of Environment;2023-09

4. Improved Landsat-based snow cover mapping accuracy using a spatiotemporal NDSI and generalized linear mixed model;Science of Remote Sensing;2023-06

5. Comparative assessment of spatiotemporal variability in cryosphere and hydro-climatic regime of the Hunza, Astore and Shigar Basins (Hindukush-Karakoram–Himalaya Region) in Pakistan;Arabian Journal of Geosciences;2023-05

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