A new Landsat 8 cloud discrimination algorithm using thresholding tests-Reference-Cited by-同舟云学术

A new Landsat 8 cloud discrimination algorithm using thresholding tests

Published:2018-08-02 Issue:23 Volume:39 Page:9113-9133
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Oishi Yu¹²,Ishida Haruma³,Nakamura Ryosuke¹

Affiliation:

1. Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan

2. Department of Planning and Coordination, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan

3. Climate Research Department, Meteorological Research Institute, Tsukuba, Ibaraki, Japan

Funder

New Energy and Industrial Technology Development Organization

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1506183

Reference23 articles.

1. Ackerman, S., R. Frey, K. Strabala, Y. Liu, L. Gumley, B. Baum, and P. Menzel 2010. “Discriminating Clear-Sky from Cloud with MODIS Algorithm Theoretical Basis Document (MOD35).” Accessed 30 January 2018. http://modis-atmos.gsfc.nasa.gov/_docs/MOD35_ATBD_Collection6.pdf.

2. Cloud Detection for High-Resolution Satellite Imagery Using Machine Learning and Multi-Feature Fusion

3. Spectral signature of alpine snow cover from the landsat thematic mapper

4. Cloud detection algorithm comparison and validation for operational Landsat data products

5. Cirrus cloud detection from Airborne Imaging Spectrometer data using the 1.38 µm water vapor band

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