The use of imaging radars for ecological applications - A review

被引:335
作者
Kasischke, ES
Melack, JM
Dobson, MC
机构
[1] ENVIRONM RES INST MICHIGAN,CTR EARTH SCI,ANN ARBOR,MI 48107
[2] UNIV CALIF SANTA BARBARA,DEPT BIOL SCI,SANTA BARBARA,CA 93106
[3] UNIV CALIF SANTA BARBARA,INST COMPUTAT EARTH SYST SCI,SANTA BARBARA,CA 93106
[4] UNIV MICHIGAN,DEPT ELECT ENGN & COMP SCI,RADIAT LAB,ANN ARBOR,MI 48109
关键词
D O I
10.1016/S0034-4257(96)00148-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
At the behest of NASA's Mission to Planet Earth, the National Research Council recently conducted a review on the current status and future directions for earth science information provided by spaceborne synthetic aperture radars. As part of this process, a panel of 16 scientists met to review the utility of SAR for monitoring ecosystem processes. The consensus of this ecology panel was that the demonstrated capabilities of imaging radars for investigating terrestrial ecosystems could best be organized into four broad categories: 1) classification and detection of change in land cover; 2) estimation of woody plant biomass 3) monitoring the extent and timing of inundation; and 4) monitoring other temporally-dynamic processes. The major conclusions from this panel were: 1) Multichannel radar data provide a means to classify land-cover patterns because of its sensitivity to variations in vegetation structure and vegetation and ground-layer moisture. The relative utility of data from imaging radars versus multispectral scanner data has yet to be determined in a rigorous fashion over a wide range of biomes for this application. 2) Imaging radars having the capability to monitor variations in biomass in forested ecosystems. This capability is not consistent among different forest types. The upper levels of sensitivity for L-band and C-band systems such as SIR-C range between <100 t ha(-1) for complex tropical forest canopies to similar to 250 t ha(-1) for simpler forests dominated by a single tree species. Best performance for biomass estimation is achieved using lower frequency (P- and L-band) radar systems with a cross-polarized (HV or VH) channel. 3) Like-polarized imaging radars (HH or VV) are well suited for detection of flooding under vegetation canopies. Lower frequency radars (P- and L-band) are most optimal for detecting flooding under forests, whereas higher frequency radars (C-band) work best for wetlands dominated by herbaceous vegetation. 4) It has been shown that spaceborne radars that have been in continuous operation for several years [such as the C-band (VV) ERS-1 SAR] provide information on temporally dynamic processes, such as monitoring a) variations in flooding in nonwooded wetlands, b) changes in the frozen/thawed status of vegetation, and c) relative variations in soil moisture in areas with low amounts of vegetation cover. These observations have been shown to be particularly important in studying ecosystems in high northern latitudes. (C) Elsevier Science Inc., 1997.
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页码:141 / 156
页数:16
相关论文
共 110 条
[1]   SEASONAL-CHANGES IN RELATIVE C-BAND BACKSCATTER OF NORTHERN FOREST COVER TYPES [J].
AHERN, FJ ;
LECKIE, DJ ;
DRIEMAN, JA .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1993, 31 (03) :668-680
[2]  
[Anonymous], 1987, SPACEBORNE RADAR REM
[3]   GLOBAL DISTRIBUTION OF NATURAL FRESH-WATER WETLANDS AND RICE PADDIES, THEIR NET PRIMARY PRODUCTIVITY, SEASONALITY AND POSSIBLE METHANE EMISSIONS [J].
ASELMANN, I ;
CRUTZEN, PJ .
JOURNAL OF ATMOSPHERIC CHEMISTRY, 1989, 8 (04) :307-358
[4]   REVIEW AND ASSESSMENT OF METHANE EMISSIONS FROM WETLANDS [J].
BARTLETT, KB ;
HARRISS, RC .
CHEMOSPHERE, 1993, 26 (1-4) :261-320
[5]  
BEAUDOIN A, 1994, INT J REMOTE SENS, V15, P2777, DOI 10.1080/01431169408954284
[6]   SOIL-TEMPERATURE, NITROGEN MINERALIZATION, AND CARBON SOURCE SINK RELATIONSHIPS IN BOREAL FORESTS [J].
BONAN, GB ;
VANCLEVE, K .
CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE, 1992, 22 (05) :629-639
[7]  
BOURGEAUCHAVEZ LL, 1996, IN PRESS INT J REMOT
[8]  
BOURGEAUCHAVEZ LL, 1997, IN PRESS PHOTOGRAMM
[9]   AN INTRODUCTION TO SYNTHETIC-APERTURE RADAR [J].
BROWN, WM ;
PORCELLO, LJ .
IEEE SPECTRUM, 1969, 6 (09) :52-&
[10]   SATELLITE ANALYSIS OF THE SEVERE 1987 FOREST-FIRES IN NORTHERN CHINA AND SOUTHEASTERN SIBERIA [J].
CAHOON, DR ;
STOCKS, BJ ;
LEVINE, JS ;
COFER, WR ;
PIERSON, JM .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1994, 99 (D9) :18627-18638