IKONOS imagery for resource management: Tree cover, impervious surfaces, and riparian buffer analyses in the mid-Atlantic region

被引:210
作者
Goetz, SJ
Wright, RK
Smith, AJ
Zinecker, E
Schaub, E
机构
[1] Woods Hole Res Ctr, Woods Hole, MA 02543 USA
[2] Univ Maryland, Dept Geog, College Pk, MD 20742 USA
关键词
IKONOS imagery; resource management; mid-Atlantic region;
D O I
10.1016/j.rse.2003.07.010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
High-resolution imagery from the IKONOS satellite may be useful for many resource management applications. We assessed the utility of IKONOS imagery for applications in the mid-Atlantic region, including mapping of tree cover, impervious surface areas, and riparian buffer zone variables in relation to stream health ratings. We focused on a 1313-km(2) area in central Maryland using precision-georeferenced IKONOS products. We found the IKONOS imagery to be a valuable resource for these applications, and were able to achieve map accuracies comparable to manual aerial photo interpretation. We were also able to use derived data sets for consistent assessments over areas that would be difficult to accomplish with traditional photographic mapping methods. For example, we found that a stream health rating of excellent required no more than 6% impervious cover in the watershed, and at least 65% tree cover in the riparian zone. A rating of good required less than 10% impervious and 60% tree cover. A number of issues associated with application of the IKONOS data arose, however, including logistics of image acquisition related to phenological and atmospheric conditions, shadowing within canopies and between scene elements, and limited spectral discrimination of cover types. Cost per unit area was also a nontrivial consideration for the image data products we used, but allowed us to provide valuable derived products to agencies in support of their planning and regulatory decision-making processes. We report on both the capabilities and limitations of IKONOS imagery for these varied applications. (C) 2003 Elsevier Inc. All rights reserved.
引用
收藏
页码:195 / 208
页数:14
相关论文
共 30 条
[1]   Government programs for research and operational uses of commercial remote sensing data [J].
Birk, RJ ;
Stanley, T ;
Snyder, GI ;
Hennig, TA ;
Fladeland, MM ;
Policelli, F .
REMOTE SENSING OF ENVIRONMENT, 2003, 88 (1-2) :3-16
[2]   SmcHD1, containing a structural-maintenance-of-chromosomes hinge domain, has a critical role in X inactivation [J].
Blewitt, Marnie E. ;
Gendrel, Anne-Valerie ;
Pang, Zhenyi ;
Sparrow, Duncan B. ;
Whitelaw, Nadia ;
Craig, Jeffrey M. ;
Apedaile, Anwyn ;
Hilton, Douglas J. ;
Dunwoodie, Sally L. ;
Brockdorff, Neil ;
Kay, Graham F. ;
Whitelaw, Emma .
NATURE GENETICS, 2008, 40 (05) :663-669
[3]  
BLONSKI S, 2001, P 2001 HIGH SPAT RES
[4]   RIPARIAN AREAS AS FILTERS FOR AGRICULTURAL SEDIMENT [J].
COOPER, JR ;
GILLIAM, JW ;
DANIELS, RB ;
ROBARGE, WP .
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 1987, 51 (02) :416-420
[5]  
Correll DL, 1997, BUFFER ZONES THEIR P, P7
[6]   IKONOS satellite, imagery, and products [J].
Dial, G ;
Bowen, H ;
Gerlach, F ;
Grodecki, J ;
Oleszczuk, R .
REMOTE SENSING OF ENVIRONMENT, 2003, 88 (1-2) :23-36
[7]  
FISHER J, 2001, AM SOC PHOT REM SENS, P8
[8]   Maximizing land cover classification accuracies produced by decision trees at continental to global scales [J].
Friedl, MA ;
Brodley, CE ;
Strahler, AH .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (02) :969-977
[9]   Decision tree classification of land cover from remotely sensed data [J].
Friedl, MA ;
Brodley, CE .
REMOTE SENSING OF ENVIRONMENT, 1997, 61 (03) :399-409
[10]   Multi-sensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site [J].
Goetz, SJ .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (01) :71-94