Optimizing remotely sensed solutions for monitoring, modeling, and managing coastal environments

被引:62
作者
Phinn, SR [1 ]
Menges, C
Hill, GJE
Stanford, M
机构
[1] Univ Queensland, Dept Geog Sci & Planning, Brisbane, Qld 4072, Australia
[2] San Diego State Univ, Dept Geog, San Diego, CA 92182 USA
[3] No Terr Univ, Fac Sci, Ctr Trop Wetlands Management, Darwin, NT, Australia
关键词
D O I
10.1016/S0034-4257(00)00087-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
When faced with developing, testing, and delivering a remote sensing system or product that is "optimal" for a specific coastal environment and monitoring or modeling problem, an objective and replicable framework to guide these operations is essential. A framework has been developed for coastal environments, combining concepts from remote sensing and landscape ecology to provide remotely sensed data users with an objective basis for selecting "optimal" data sets and processing techniques. The framework was applied to case studies in: coastal wetlands of southern California; coastal wet-dry tropical wetlands in Northern Territory, Australia; and a rapidly urbanizing coastal catchment in southeast Queensland, Australia. Results established for each case study demonstrated that the framework functioned effectively in different coastal environments and provided more accurate results than ad hoc solutions. (C) Elsevier Science Inc., 2000.
引用
收藏
页码:117 / 132
页数:16
相关论文
共 27 条
[1]  
[Anonymous], 1996, LANDSCAPE VEGETATION, DOI DOI 10.1007/978-94-009-0133-9
[2]   Fine spatial resolution satellite sensors for the next decade [J].
Aplin, P ;
Atkinson, PM ;
Curran, PJ .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (18) :3873-3881
[3]  
*ASPRS, 1996, LAND SAT INF NEXT DE
[4]  
Atkinson P. M., 1997, V63, P35
[5]  
Barnsley M. J., 1997, V63, P173
[6]   A REVIEW OF ASSESSING THE ACCURACY OF CLASSIFICATIONS OF REMOTELY SENSED DATA [J].
CONGALTON, RG .
REMOTE SENSING OF ENVIRONMENT, 1991, 37 (01) :35-46
[7]  
Curran P. J., 1997, V63, P1
[8]  
CURRAN PJ, 1998, GEOCOMPUTATION PRIME, P33
[9]  
Dobson J.E., 1995, 123 NOAA NMFS
[10]  
GARCIAMOLINER G, 1993, LECT NOTES BIOMATH, V95, P70