Name
Title | ||
|---|---|---|
A Study Of Detecting Coal Seam Fires By Removing Other High Temperature Locations From Landsat 8 Oli/Tirs Images |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/IGARSS39084.2020.9324622 | IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM |
Keywords | DocType | Citations |
Land Surface Temperature, Coal Seam Fire, Clay Mineral Ratio, Landsat 8 | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jit Mukherjee | 1 | 0 | 0.68 |
| Jayanta Mukhopadhyay | 2 | 0 | 0.68 |
| Debashish Chakravarty | 3 | 0 | 0.34 |
| Subhas Aikat | 4 | 1 | 1.36 |