Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments

被引:38
作者
Ferwerda, Jelle G.
de Leeuw, Jan
Atzberger, Clement
Vekerdy, Zoltan
机构
[1] RMIT Univ, Sch Math & Geospatial Sci, Melbourne, Vic 3001, Australia
[2] Int Inst Geoinformat Sci & Earth Observat, NL-7500 AA Enschede, Netherlands
[3] GeoSys, F-31505 Toulouse 5, France
关键词
remote sensing; seagrass productivity; early-warning system; radiative transfer modelling;
D O I
10.1007/s10750-007-0784-5
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
Decline of seagrasses has been documented in many parts of the world. Reduction in water clarity, through increased turbidity and increased nutrient concentrations, is considered to be the primary cause of seagrass loss. Recent studies have indicated the need for new methods that will enable early detection of decline in seagrass extent and productivity, over large areas. In this review of current literature on coastal remote sensing, we examine the ability of remote sensing to serve as an information provider for seagrass monitoring. Remote sensing offers the potential to map the extent of seagrass cover and monitor changes in these with high accuracy for shallow waters. The accuracy of mapping seagrasses in deeper waters is unclear. Recent advances in sensor technology and radiometric transfer modelling have resulted in the ability to map suspended sediment, sea surface temperature and below-surface irradiance. It is therefore potentially possible to monitor the factors that cause the decline in seagrass status. When the latest products in remote sensing are linked to seagrass production models, it may serve as an early-warning system for seagrass decline and ultimately allow a better management of these susceptible ecosystems.
引用
收藏
页码:59 / 71
页数:13
相关论文
共 83 条
[1]   Soil erosion in developing countries: a socio-economic appraisal [J].
Ananda, J ;
Herath, G .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2003, 68 (04) :343-353
[2]  
BARET F, 1997, DIAGNOSIS NITROGEN S
[3]   PHYSIOLOGICAL ECOLOGY OF PLANT SUCCESSION [J].
BAZZAZ, FA .
ANNUAL REVIEW OF ECOLOGY AND SYSTEMATICS, 1979, 10 :351-371
[4]   VARIATION IN ASSEMBLAGES OF FISH ASSOCIATED WITH DEEP AND SHALLOW MARGINS OF THE SEAGRASS POSIDONIA-AUSTRALIS [J].
BELL, JD ;
FERRELL, DJ ;
MCNEILL, SE ;
WORTHINGTON, DG .
MARINE BIOLOGY, 1992, 114 (04) :667-676
[5]   Modeling the dynamics of three functional groups of macroalgae in tropical seagrass habitats [J].
Biber, PD ;
Harwell, MA ;
Cropper, WP .
ECOLOGICAL MODELLING, 2004, 175 (01) :25-54
[6]   Statistical evaluation of remotely sensed data for water quality monitoring [J].
Bilge, F ;
Yazici, B ;
Dogeroglu, T ;
Ayday, C .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (24) :5317-5326
[7]  
Bostrom C., 2003, World atlas of seagrasses, P27
[8]   Elevated nutrient content of tropical macroalgae increases rates of herbivory in coral, seagrass, and mangrove habitats [J].
Boyer, KE ;
Fong, P ;
Armitage, AR ;
Cohen, RA .
CORAL REEFS, 2004, 23 (04) :530-538
[9]   VARIABILITY IN THE CHLOROPHYLL-SPECIFIC ABSORPTION-COEFFICIENTS OF NATURAL PHYTOPLANKTON - ANALYSIS AND PARAMETERIZATION [J].
BRICAUD, A ;
BABIN, M ;
MOREL, A ;
CLAUSTRE, H .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1995, 100 (C7) :13321-13332
[10]   Determination of chlorophyll concentration changes in Lake Garda using an image-based radiative transfer code for Landsat TM images [J].
Brivio, PA ;
Giardino, C ;
Zilioli, E .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2001, 22 (2-3) :487-502