A STUDY OF DETECTING COAL SEAM FIRES BY REMOVING OTHER HIGH TEMPERATURE LOCATIONS FROM LANDSAT 8 OLI/TIRS IMAGES

被引：1

作者：

Mukherjee, Jit ^{[1
]}

Mukhopadhyay, Jayanta ^{[2
]}

Chakravarty, Debashish ^{[3
]}

Aikat, Subhas ^{[2
]}

机构：

[1] Indian Inst Technol Kharagpur, Adv Technol Dev Ctr, Kharagpur 721302, W Bengal, India

[2] Indian Inst Technol Kharagpur, Dept Comp Sci & Engn, Kharagpur 721302, W Bengal, India

[3] Indian Inst Technol Kharagpur, Dept Min Engn, Kharagpur 721302, W Bengal, India

来源：

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年

关键词：

Land Surface Temperature; Coal Seam Fire; Clay Mineral Ratio; Landsat; 8; MINE WATER BODIES; SEASONAL SEPARATION; PROPAGATION;

D O I：

10.1109/IGARSS39084.2020.9324622

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Coal seam fire has various environmental, social, and economical adversities. In the past, coal seam fire regions are detected by studying the land surface temperature properties of satellite images. Yet, these techniques do not consider the spectral properties of the fire locations. Thus, various other high temperature regions are falsely detected as coal seam fire regions. The objective of this paper is to detect coal seam fire regions by analyzing the land surface temperature and eliminating the falsely detected high temperature regions. We propose a novel technique for detecting coal seam fire regions by using clay mineral ratio, which can differentiate other high temperature regions from coal seam fire regions.

引用

页码：4084 / 4087

页数：4

共 26 条

[1] A STUDY ON AUTOMATED DETECTION OF SURFACE AND SUB-SURFACE COAL SEAM FIRES USING ISOLATION FOREST FROM LANDSAT 8 OLI/TIRS IMAGES
Mukherjee, Jit
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 5512 - 5515
[2] Unsupervised Detection of Active, New, and Closed Coal Mines with Reclamation Activity from Landsat 8 OLI/TIRS Images
Mukherjee, Jit
Mukherjee, Jayanta
Chakravarty, Debashish
Aikat, Subhas
PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PREMI 2019, PT I, 2019, 11941 : 397 - 404
[3] A Novel Index to Detect Opencast Coal Mine Areas From Landsat 8 OLI/TIRS
Mukherjee, Jit
Mukherjee, Jayanta
Chakravarty, Debashish
Aikat, Subhas
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (03) : 891 - 897
[4] Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS
Vanhellemont, Quinten
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 166 : 390 - 402
[5] Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS
Vanhellemont, Quinten
ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 166 : 390 - 402
[6] Land surface temperature retrieval from Landsat 8 OLI/TIRS images based on back-propagation neural network
Zhang, Bo
Zhang, Meng
Hong, Danfeng
INDOOR AND BUILT ENVIRONMENT, 2021, 30 (01) : 22 - 38
[7] Seasonal detection of coal overburden dump regions in unsupervised manner using landsat 8 OLI/TIRS images at jharia coal fields
Mukherjee, Jit
Mukherjee, Jayanta
Chakravarty, Debashish
Aikat, Subhash
MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (28-29) : 35605 - 35627
[8] Seasonal detection of coal overburden dump regions in unsupervised manner using landsat 8 OLI/TIRS images at jharia coal fields
Jit Mukherjee
Jayanta Mukherjee
Debashish Chakravarty
Subhash Aikat
Multimedia Tools and Applications, 2021, 80 : 35605 - 35627
[9] High-Resolution Sea Surface Temperature Retrieval from Landsat 8 OLI/TIRS Data at Coastal Regions
Jang, Jae-Cheol
Park, Kyung-Ae
REMOTE SENSING, 2019, 11 (22)
[10] AUTOMATED COASTLINE DETECTION FROM LANDSAT 8 OLI/TIRS IMAGES WITH THE PRESENCE OF INLAND WATER BODIES IN ANDAMAN
Mondal, Rajdeep
Mukherjee, Jit
Mukhopadhyay, Jayanta
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 5757 - 5760

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