Exploration of Synthetic Terrestrial Snow Mass Estimation via Assimilation of AMSR‐E Brightness Temperature Spectral Differences Using the Catchment Land Surface Model and Support Vector Machine Regression-Reference-Cited by-同舟云学术

Exploration of Synthetic Terrestrial Snow Mass Estimation via Assimilation of AMSR‐E Brightness Temperature Spectral Differences Using the Catchment Land Surface Model and Support Vector Machine Regression

Published:2021-02 Issue:2 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res.

Author:

Wang Jing¹^ORCID,Forman Barton A.¹,Xue Yuan²

Affiliation:

1. Department of Civil and Environmental Engineering University of Maryland College Park MD USA

2. Department of Geography and GeoInformation Science George Mason University Fairfax VA USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR027490

Reference81 articles.

1. Analyzing Machine Learning Predictions of Passive Microwave Brightness Temperature Spectral Difference Over Snow-Covered Terrain in High Mountain Asia

2. Assimilating remotely sensed snow observations into a macroscale hydrology model

3. Recent northern hemisphere snow extent: A comparison of data derived from visible and microwave satellite sensors

4. Snow depths and grain-size relationships with relevance for passive microwave studies

5. Potential impacts of a warming climate on water availability in snow-dominated regions

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Snow Water Equivalent Monitoring—A Review of Large-Scale Remote Sensing Applications;Remote Sensing;2024-03-20

2. Establishment and engineering application of viscoelastic-plastic constitutive laws for creep modeling in interbedded rock masses;Scientific Reports;2023-11-24

3. An autoencoder-based snow drought index;Scientific Reports;2023-11-24

4. Comparison of Machine Learning-Based Snow Depth Estimates and Development of a New Operational Retrieval Algorithm over China;Remote Sensing;2022-06-10

5. Estimating Terrestrial Snow Mass via Multi‐Sensor Assimilation of Synthetic AMSR‐E Brightness Temperature Spectral Differences and Synthetic GRACE Terrestrial Water Storage Retrievals;Water Resources Research;2021-09