If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

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

$61.74 plus tax (Refund Policy)

Buy Article:


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.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/01431160310001654978

Affiliations: 1: Departamento de Ciências e Engenharia do Ambiente Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa 2829-516 Campus de Caparica Portugal, Email: mtr@fct.unl.pt 2: Centro de Biologia Ambiental Departamento de Zoologia Faculdade de Ciências Universidade de Lisboa 1749-016 Lisbon Portugal, Email: palmeirim@fc.ul.pt

Publication date: August 1, 2004

More about this publication?
Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more