Land-cover change monitoring with classification trees using Landsat TM and ancillary data

被引:154
作者
Rogan, J
Miller, J
Stow, D
Franklin, J
Levien, L
Fischer, C
机构
[1] San Diego State Univ, Dept Geog, San Diego, CA 92182 USA
[2] US Forest Serv, USDA, Sacramento, CA 95814 USA
[3] Calif Dept Forestry & Fire Protect, Sacramento, CA 95814 USA
关键词
D O I
10.14358/PERS.69.7.793
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
We monitored land-cover change in San Diego County (1990-1996) using multitemporal Landsat TM data. Change vectors of Kauth Thomas features were combined with stable multitemporal Kauth Thomas features and a suite Of ancillary variables within a classification tree classifier. A combination of aerial photointerpretation and field measurements yielded training and validation data, Maps of land-cover change were generated for three hierarchical levels of change classification of increasing detail: change vs. no-change; four classes representing broad increase and decrease classes; and nine classes distinguishing increases or decreases in tree canopy cover, shrub cover, and urban change. The multitemporal Kauth Thomas (both stable and change features representing brightness, greenness, and wetness) provided information for magnitude and direction of land-cover change, Overall accuracies of the land-cover change maps were high (72 to 92 percent). Ancillary variables representing elevation, fire history, and slope were most significant in mapping the most complicated level of land-cover change, contributing 15 percent to overall accuracy. Classification trees have not previously been used operationally with remotely sensed and ancillary data to map land-cover change at this level of thematic detail.
引用
收藏
页码:793 / 804
页数:12
相关论文
共 68 条
[1]   Change detection using adaptive fuzzy neural networks: Environmental damage assessment after the Gulf War [J].
Abuelgasim, AA ;
Ross, WD ;
Gopal, S ;
Woodcock, CE .
REMOTE SENSING OF ENVIRONMENT, 1999, 70 (02) :208-223
[2]  
AHERN FJ, 1998, P 1 INT C GEOSP INFO, P73
[3]  
Anderson J.R., 1976, 964 US GEOL SURV, DOI DOI 10.3133/PP964
[4]  
[Anonymous], P 3 INT S REM SENS U
[5]  
[Anonymous], 1998, ENV MONITORING METHO
[6]  
[Anonymous], P RS2002 08 12 APR S
[7]  
BAUER ME, 1994, PHOTOGRAMM ENG REM S, V60, P287
[8]   The use of temporal metrics for land cover change detection at coarse spatial scales [J].
Borak, JS ;
Lambin, EF ;
Strahler, AH .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2000, 21 (6-7) :1415-1432
[9]   Feature selection and land cover classification of a MODIS-like data set for a semiarid environment [J].
Borak, JS ;
Strahler, AH .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1999, 20 (05) :919-938
[10]  
Breiman L., 1984, BIOMETRICS, DOI DOI 10.2307/2530946