A snow cover mapping algorithm based on a multitemporal dataset for GK-2A imagery-Reference-Cited by-同舟云学术

A snow cover mapping algorithm based on a multitemporal dataset for GK-2A imagery

Published:2022-07-22 Issue:1 Volume:59 Page:1078-1102
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Lee Soobong¹,Choi Jaewan²

Affiliation:

1. National Meteorological Satellite Center, Korea Meteorological Administration, Jincheon, Korea

2. Department of Civil Engineering, Chungbuk National University, Cheongju, Korea

Funder

the Basic Science Research Program through the National Research Foundation of Korea (NRF), which is funded by the Ministry of Education

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2097395

Reference64 articles.

1. Snow/Cloud Discrimination with Multispectral Satellite Measurements

2. Recent advances in the remote sensing of alpine snow: a review

3. Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure

4. Barton, J. S., K. Hall Dorothy, and A. Riggs George 2020 “Thermal and Geometric Thresholds in the Mapping of Snow with MODIS.” NASA, Accessed 16 November 2021. https://modis-snow-ice.gsfc.nasa.gov/?c=pap_therm

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