An active-fire based burned area mapping algorithm for the MODIS sensor

被引:452
作者
Giglio, Louis [1 ,2 ]
Loboda, Tatiana [2 ]
Roy, David P. [3 ]
Quayle, Brad [4 ]
Justice, Christopher O. [2 ]
机构
[1] Sci Syst & Applicat Inc, Lanham, MD USA
[2] Univ Maryland, Dept Geog, College Pk, MD 20742 USA
[3] S Dakota State Univ, Geog Informat Sci Ctr Excellence, Brookings, SD 57007 USA
[4] US Forest Serv, USDA, Remote Sensing Applicat Ctr, Salt Lake City, UT USA
关键词
Fire; Biomass burning; Burn scar; Burned area; MODIS; TIME-SERIES; CLASSIFICATION; IDENTIFICATION;
D O I
10.1016/j.rse.2008.10.006
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We present an automated method for mapping burned areas using 500-m Moderate Resolution Imaging Spectroradiometer (MODIS) imagery coupled with 1-km MODIS active fire observations. The algorithm applies dynamic thresholds to composite imagery generated from a burn-sensitive vegetation index and a measure of temporal texture. Cumulative active fire maps are used to guide the selection of burned and unburned training samples. An accuracy assessment for three geographically diverse regions (central Siberia, the western United States, and southern Africa) was performed using high resolution burned area maps derived from Landsat imagery. Mapped burned areas were accurate to within approximately 10% in all regions except the high-tree-cover sub-region of southern Africa, where the MODIS burn maps underestimated the area burned by 41%. We estimate the minimum detectable burn size for reliable detection by our algorithm to be. on the order of 120 ha. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:408 / 420
页数:13
相关论文
共 51 条
[1]  
[Anonymous], 2007, WO76B USDA FOR SERV
[2]  
ARINO O, 1999, P JOINT FIR SCI C BO, V1, P177
[3]  
Astola J., 2020, Fundamentals of nonlinear digital filtering, DOI DOI 10.1201/9781003067832
[4]   An algorithm for extracting burned areas from time series of AVHRR GAC data applied at a continental scale [J].
Barbosa, PM ;
Grégoire, JM ;
Pereira, JMC .
REMOTE SENSING OF ENVIRONMENT, 1999, 69 (03) :253-263
[5]  
BESAG J, 1986, J R STAT SOC B, V48, P259
[6]  
Congalton R.G., 2019, Assessing the accuracy of remotely sensed data: principles and practices
[7]   A METHOD FOR SATELLITE IDENTIFICATION OF SURFACE-TEMPERATURE FIELDS OF SUBPIXEL RESOLUTION [J].
DOZIER, J .
REMOTE SENSING OF ENVIRONMENT, 1981, 11 (03) :221-229
[8]  
Eidenshink J., 2007, Fire Ecol, V3, P3, DOI [10.4996/fireecology.0301003, DOI 10.4996/FIREECOLOGY.0301003]
[9]  
Elvidge C.D., 1996, BIOMASS BURNING GLOB, P73
[10]   Burnt area mapping in Central Africa using ATSR data [J].
Eva, H ;
Lambin, EF .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (18) :3473-3497