Detection of coal fire location and change based on multi‐temporal thermal remotely sensed data and field measurements-Reference-Cited by-同舟云学术

Detection of coal fire location and change based on multi‐temporal thermal remotely sensed data and field measurements

Published:2007-07-31 Issue:15 Volume:28 Page:3173-3179
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Chen Y.¹,Jing L.¹,Bo Y.¹,Shi P.¹,Zhang S.²

Affiliation:

1. a State Key Laboratory of Earth Surface Processes and Resource Ecology , College of Resources Science and Technology , Beijing Normal University , Beijing, 100875, China

2. b College of Water Sciences , Beijing Normal University , Beijing, 100875, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160500444889

Reference8 articles.

1. Detecting coal fires with a neural network to reduce the effect of solar radiation on Landsat Thematic Mapper thermal infrared images

2. Data fusion for investigating land subsidence and coal fire hazards in a coal mining area

3. Surface fires in Jharia coalfield, India-their distribution and estimation of area and temperature from TM data

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