This paper describes the technique to be needed for rapidly and accurately identifying the burned area by forest fires,following the catastrophic fires by the vegetation index CART decision tree methods using the wide coverage image of GF-1(GF-1 WFV).They were compared between the maximum likelihood classification of supervised and unsupervised classification(ISODATA),within burned area indexes,to improve the accuracy of the burned area,shaded vegetation index,global environment monitoring index,improved shadows and bare commission or omission burned phenomenon.The results showed that the decision tree classification method based on CART algorithms for burned area identification has significantly improved the overall accuracy by 4.38% compared with the maximum likelihood method;Kappa coefficient increased by 0.1024.GF-1 satellite imagery for unsupervised classification(ISODATA)identifies the burned area poorly,the overall accuracy and Kappa coefficient are low,the map making accuracy and user accuracy have not reached 1%.
ZU Xiaofeng
,
QIN Xianlin
,
YIN Lingyu
,
CHEN Xiaozhong
,
ZHONG Xiangqing
. Decision Tree Method for Burned Area Identification Based on the Spectral Index of GF-1 WFV Image[J]. Forest and Grassland Resources Research, 2015
, 0(4)
: 73
-78
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DOI: 10.13466/j.cnki.lyzygl.2015.04.013
[1]Gitas I Z,Mitri G H,Ventura G.Object-based image classification for burned area mapping of Creus Cape,Spain,using NOAA-AVHRR imagery[J].Remote Sensing of Environment,2004,92(3):409-413.
[2]Giglio L,Loboda T,Roy D P,et al.An active-fire based burned area mapping algorithm for the MODIS sensor[J].Remote Sensing of Environment,2009,113(2):408-420.
[3]覃先林,李增元,易浩若,等.基于ENVISAT-MERIS数据的火烧迹地制图方法研究[J].遥感技术与应用,2008,22(4):1-6.
[4]朱曦,覃先林,廖靖.基于模糊集理论的单时相跨区域森林火烧迹地遥感制图[J].国土资源遥感,2013,25(4):122-128.
[5]朱曦,覃先林.基于二阶段算法的HJ-CCD数据火烧迹地制图[J].遥感技术与应用,2013,28(1):72-77.
[6]刘健,许章华,余坤勇,等.山地丘陵区遥感影像阴影检测与去除方法[J].农业机械学报,2013,44(10):238-241.
[7]许章华,刘健,余坤勇,等.阴影植被指数 SVI 的构建及其在四种遥感影像中的应用效果[J].光谱学与光谱分析,2013,33(12):3359-3365.
[8]周庆,李峰,张海涛,等.监督分类技术在高分辨率卫星影像中的应用[J].北京林业大学学报,2003(S1):47-49.
[9]汪金花,张永彬,孔改红.谱间关系法在水体特征提取中的应用[J].矿山测量,2004(4):30-32.
[10]徐涵秋.基于谱间特征和归一化指数分析的城市建筑用地信息提取[J].地理研究,2005,24(2):311-320.
[11]徐涵秋.利用改进的归一化差异水体指数(NDWI)提取水体信息的研究[J].遥感学报,2005,9(5):589-595.
[12]Segah H,Tani H,Hirano T.Detection of fire impact and vegetation recovery over tropical peat swamp forest by satellite data and ground-based NDVI instrument[J].Int.J.Remote Sens.,2010,31:5297-5314.
[13]Parsons A.Burned Area Emergency Rehabilitation Soil Burn Severity Definitions and Mapping Guidelines Draft[M].USDA Forest Service,Rocky Mountain Research Station:Missoula,MT,USA,2003.
[14]Balzter H,Gonzalez M C,Gerard F,et al.Post-Fire Vegetation Phenology in Siberian Burn Scars[C]//In Proceedings of 2007 IEEE International Geoscience and Remote Sensing Symposium,Barcelona,Spain:4652-4655.
[15]Telesca L,Lasaponara R.Pre-and post-fire behavioral trends revealed in satellite NDVI time series[J].Geophys.Res.Lett.,2006,33.
