Automated volcanic hot-spot detection based on FY-4A/AGRI infrared data-Reference-Cited by-同舟云学术

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Automated volcanic hot-spot detection based on FY-4A/AGRI infrared data

Published:2019-11-18 Issue:6 Volume:41 Page:2410-2438
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Chu S. S.¹,Zhu L.²,Sun H. F.¹,Li Q. W.¹,Zhang X. R.¹,Chen T. T.³,Qiao L.¹,Zhu W. R.¹,Zhao D. X.¹,Zhang Y. H.¹

Affiliation:

1. College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, PR China

2. National Satellite Meteorological Center, China Meteorological Administration, Beijing, PR China

3. College of Geomatics, Shandong University of Science and Technology, Qingdao, PR China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1688887

Reference31 articles.

1. Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system

2. Active fires from the Suomi NPP Visible Infrared Imaging Radiometer Suite: Product status and first evaluation results

3. Satellite monitoring of remote volcanoes improves study efforts in alaska

4. Robust satellite techniques for volcanicand seismic hazards monitoring

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1. Algorithms for Detecting Sub‐Pixel Elevated Temperature Features for the NASA Surface Biology and Geology (SBG) Designated Observable;Journal of Geophysical Research: Biogeosciences;2023-07

2. Detection of thermal features from space at Indonesian volcanoes from 2000 to 2020 using ASTER;Journal of Volcanology and Geothermal Research;2022-10

3. Analysis of the Rapid Intensification of Typhoon “Mekkhala” (2006) over the Offshore Area Based on Satellite Data;Journal of Geoscience and Environment Protection;2022

4. Safeguard and Preventive Measures of Natural Disasters Using Early Warning Systems—A Comprehensive Review;Lecture Notes in Civil Engineering;2022

5. Comparison of Machine-Learning Algorithms for Near-Surface Air-Temperature Estimation from FY-4A AGRI Data;Advances in Meteorology;2020-10-06

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