Mapping Mediterranean scrub with satellite imagery: biomass estimation and spectral behaviour

被引:84
作者
Calvao, T [1 ]
Palmeirim, JM
机构
[1] Univ Nova Lisboa, Fac Ciencias & Tecnol, Dept Ciencias & Engn Ambiente, P-2829516 Caparica, Portugal
[2] Univ Lisbon, Fac Ciencias, Dept Zool, Ctr Biol Ambiental, P-1749016 Lisbon, Portugal
关键词
D O I
10.1080/01431160310001654978
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Millennia of intensive use have led to severe land degradation in the Mediterranean basin, much of which is now under serious risk of desertification. Very large extents are presently covered with scrub dominated by plants of the genus Cistus . The level of soil protection provided by these shrubs is proportional to their biomass, so it is important to be able to quantify this variable. The potential for mapping Cistus scrub biomass using optical satellite imagery was investigated in this study. It was found that the peculiar adaptations of the Cistus to summer drought strongly influence its spectral behaviour, which, during this season, is similar to that of vegetation of arid and semi-arid regions. During the rainy winter this pattern changes and becomes very similar to that of active green vegetation. In summer images, individual Landsat Thematic Mapper (TM) bands, including the near-infrared band, presented negative correlations with biomass. However, in spite of these inverse relationships, the Normalized Difference Vegetation Index (NDVI) had a high positive correlation with biomass, so this variable can be adequately mapped using satellite images. Seventy-four per cent of the biomass values estimated with linear regression models, using the NDVI as predictor, were within 50% of the ground measurements.
引用
收藏
页码:3113 / 3126
页数:14
相关论文
共 55 条
[1]   Yellowness index: an application of spectral second derivatives to estimate chlorosis of leaves in stressed vegetation [J].
Adams, ML ;
Philpot, WD ;
Norvell, WA .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1999, 20 (18) :3663-3675
[2]  
Correia O.A., 1988, THESIS U LISBOA LISB
[3]  
Correia Otilia Alves, 1992, Ecologia Mediterranea, V18, P7
[4]   A flexible approach for woody cover assessment from SPOT HRV XS data in semi-arid West Africa. Application in northern Burkina Faso [J].
Couteron, P ;
Deshayes, M ;
Roches, C .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2001, 22 (06) :1029-1051
[5]   ASSESSING THE RELATIONSHIP BETWEEN SPECTRAL VEGETATION INDEXES AND SHRUB COVER IN THE JORNADA BASIN, NEW-MEXICO [J].
DUNCAN, J ;
STOW, D ;
FRANKLIN, J ;
HOPE, A .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (18) :3395-3416
[6]   THEMATIC MAPPER ANALYSIS OF CONIFEROUS FOREST STRUCTURE AND COMPOSITION [J].
FRANKLIN, J .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1986, 7 (10) :1287-1301
[7]   Linear spectral mixture modelling to estimate vegetation amount from optical spectral data [J].
GarciaHaro, FJ ;
Gilabert, MA ;
Melia, J .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1996, 17 (17) :3373-3400
[8]  
GRAETZ RD, 1982, PHOTOGRAMM ENG REM S, V48, P1721
[9]   THE ASSESSMENT AND MONITORING OF SPARSELY VEGETATED RANGELANDS USING CALIBRATED LANDSAT DATA [J].
GRAETZ, RD ;
PECH, RP ;
DAVIS, AW .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1988, 9 (07) :1201-1222
[10]   Monitoring post-burn recovery of chaparral vegetation in southern California using multi-temporal satellite data [J].
Henry, MC ;
Hope, AS .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (16) :3097-3107