A Novel Exposed Coal Index Combining Flat Spectral Shape and Low Reflectance-Reference-Cited by-同舟云学术

A Novel Exposed Coal Index Combining Flat Spectral Shape and Low Reflectance

Published:2023 Issue: Volume:61 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Pan Xiaoquan¹^ORCID,Zhang Peng¹^ORCID,Guo Shanchuan¹^ORCID,Zhang Wei¹^ORCID,Xia Zilong¹,Fang Hong¹^ORCID,Du Peijun¹^ORCID

Affiliation:

1. School of Geography and Ocean Science, the Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, the Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, and the Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Nanjing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10319693.pdf?arnumber=10319693

Reference45 articles.

1. Deep convolutional neural networks for surface coal mines determination from sentinel-2 images

2. An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data

3. Huge CH4, NO2 and CO Emissions from Coal Mines in the Kuznetsk Basin (Russia) Detected by Sentinel-5P

4. A novel index for robust and large-scale mapping of plastic greenhouse from Sentinel-2 images

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