Long-wave infrared identification of smoldering peat fires in Indonesia with nighttime Landsat data

被引:35
作者
Elvidge, Christopher D. [1 ]
Zhizhin, Mikhail [2 ,3 ]
Hsu, Feng-Chi [2 ]
Baugh, Kimberly [2 ]
Khomarudin, M. Rokhis [4 ]
Vetrita, Yenni [4 ]
Sofan, Parwati [4 ]
Suwarsono [4 ]
Hilman, Dadang [5 ]
机构
[1] NOAA, Earth Observat Grp, Natl Geophys Data Ctr, Boulder, CO 80305 USA
[2] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[3] Russian Acad Sci, Space Res Inst, Moscow, Russia
[4] Natl Inst Aeronaut & Space LAPAN, Jakarta, Indonesia
[5] Indonesia Climate Change Ctr, Jakarta, Indonesia
关键词
Landsat; fire detection; peat fire; smoldering; flaming; Indonesia; BIOMASS BURNING EMISSIONS; DEFORESTATION; POLLUTION; ALGORITHM; CLIMATE; FOREST; HAZE;
D O I
10.1088/1748-9326/10/6/065002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Smoldering peat fires in Indonesia are responsible for large quantities of trace gas and particulate emissions. However, to date no satellite remote sensing technique has been demonstrated for the identification of smoldering peat fires. Fires have two distinct combustion phases: a high temperature flaming and low temperature smoldering phases. The flaming phase temperature is approximately twice that of the smoldering phase. This temperature differential results in a spectral displacement of the primary radiant emissions of the two combustion phases. It it is possible to exploit this spectral displacement using widely separated wavelength ranges. This paper examines active fire features found in short-wave infrared (SWIR) and long-wave infrared (LWIR) nighttime Landsat data collected on peatlands in Sumatra and Kalimantan. Landsat 8's SWIR bands are on the leading edge of flaming phase radiant emissions, with only minor contribution from the smoldering phase. Conversely, Landsat 8's LWIR bands are on the trailing edge of smoldering phase radiant emissions. After examining the LWIR fire features, we conclude that they are the result of smoldering phase combustion. This has been confirmed with field validation. Detection limits for smoldering peat fires in Landsat 8 is in the 40-90 m(2) range. These results could lead to improved management of peatland fires and emission modeling.
引用
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页数:12
相关论文
共 25 条
[1]   Early Analysis of Landsat-8 Thermal Infrared Sensor Imagery of Volcanic Activity [J].
Blackett, Matthew .
REMOTE SENSING, 2014, 6 (03) :2282-2295
[2]   Smoke-haze from the 1997 Indonesian forest fires:: effects on pollution levels, local climate, atmospheric CO2 concentrations, and tree photosynthesis [J].
Davies, SJ ;
Unam, L .
FOREST ECOLOGY AND MANAGEMENT, 1999, 124 (2-3) :137-144
[3]   Wildfire temperature and land cover modeling using hyperspectral data [J].
Dennison, PE ;
Charoensiri, K ;
Roberts, DA ;
Peterson, SH ;
Green, RO .
REMOTE SENSING OF ENVIRONMENT, 2006, 100 (02) :212-222
[4]   VIIRS Nightfire: Satellite Pyrometry at Night [J].
Elvidge, Christopher D. ;
Zhizhin, Mikhail ;
Hsu, Feng-Chi ;
Baugh, Kimberly E. .
REMOTE SENSING, 2013, 5 (09) :4423-4449
[5]   Human amplification of drought-induced biomass burning in Indonesia since 1960 [J].
Field, Robert D. ;
van der Werf, Guido R. ;
Shen, Samuel S. P. .
NATURE GEOSCIENCE, 2009, 2 (03) :185-188
[6]   Major atmospheric emissions from peat fires in Southeast Asia during non-drought years: evidence from the 2013 Sumatran fires [J].
Gaveau, David L. A. ;
Salim, Mohammad A. ;
Hergoualc'h, Kristell ;
Locatelli, Bruno ;
Sloan, Sean ;
Wooster, Martin ;
Marlier, Miriam E. ;
Molidena, Elis ;
Yaen, Husna ;
DeFries, Ruth ;
Verchot, Louis ;
Murdiyarso, Daniel ;
Nasi, Robert ;
Holmgren, Peter ;
Sheil, Douglas .
SCIENTIFIC REPORTS, 2014, 4
[7]   An enhanced contextual fire detection algorithm for MODIS [J].
Giglio, L ;
Descloitres, J ;
Justice, CO ;
Kaufman, YJ .
REMOTE SENSING OF ENVIRONMENT, 2003, 87 (2-3) :273-282
[8]  
Green R.O., 1996, SUMMARIES 6 ANN JPL, V96-4, P105
[9]   Peat-fire-related air pollution in Central Kalimantan, Indonesia [J].
Hayasaka, Hiroshi ;
Noguchi, Izumi ;
Putra, Erianto Indra ;
Yulianti, Nina ;
Vadrevu, Krishna .
ENVIRONMENTAL POLLUTION, 2014, 195 :257-266
[10]  
ICCC, 2013, INT IND PEATL CONS 2