DOI: 10.1016/j.jag.2015.03.009
Scopus记录号: 2-s2.0-84941286743
论文题名: An approach of surface coal fire detection from ASTER and Landsat-8 thermal data: Jharia coal field, India
作者: Roy P ; , Guha A ; , Vinod Kumar K
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 39 起始页码: 120
结束页码: 127
语种: 英语
英文关键词: ASTER
; Coal fire
; Jharia coal field
; Landsat-8
; Radiant temperatur
Scopus关键词: ASTER
; coal production
; Landsat
; pixel
; remote sensing
; satellite data
; source rock
; structural geology
; vegetation cover
; Bihar
; India
; Jharia Coalfield
英文摘要: Radiant temperature images from thermal remote sensing sensors are used to delineate surface coal fires, by deriving a cut-offtemperature to separate coal-fire from non-fire pixels. Temperature contrast of coal fire and background elements (rocks and vegetation etc.) controls this cut-offtemperature. This contrast varies across the coal field, as it is influenced by variability of associated rock types, proportion of vegetation cover and intensity of coal fires etc. We have delineated coal fires from background, based on separation in data clusters in maximum v/s mean radiant temperature (13th band of ASTER and 10th band of Landsat-8) scatter-plot, derived using randomly distributed homogeneous pixel-blocks (9 × 9 pixels for ASTER and 27 × 27 pixels for Landsat-8), covering the entire coal bearing geological formation. It is seen that, for both the datasets, overall temperature variability of background and fires can be addressed using this regional cut-off. However, the summer time ASTER data could not delineate fire pixels for one specific mine (Bhulanbararee) as opposed to the winter time Landsat-8 data. The contrast of radiant temperature of fire and background terrain elements, specific to this mine, is different from the regional contrast of fire and background, during summer. This is due to the higher solar heating of background rocky outcrops, thus, reducing their temperature contrast with fire. The specific cut-offtemperature determined for this mine, to extract this fire, differs from the regional cut-off. This is derived by reducing the pixel-block size of the temperature data. It is seen that, summer-time ASTER image is useful for fire detection but required additional processing to determine a local threshold, along with the regional threshold to capture all the fires. However, the winter Landsat-8 data was better for fire detection with a regional threshold. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79483
Appears in Collections: 气候变化事实与影响
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作者单位: National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad, India
Recommended Citation:
Roy P,, Guha A,, Vinod Kumar K. An approach of surface coal fire detection from ASTER and Landsat-8 thermal data: Jharia coal field, India[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,39