Multidate adaptive unmixing and its application to analysis of ecosystem transitions along a climatic gradient

Maxim Shoshany, Tal Svoray

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Environmental heterogeneity characterizes Mediterranean regions and zones of transition between humid and arid climates. Mapping of shrubs, dwarf shrubs, and herbaceous growth is of primary importance for understanding ecosystem function in these vulnerable environments. High spatial fragmentation in these three cover types implies that they are highly mixed at spatial resolutions greater than a few meters. A new methodology is presented which uses phenological differences between shrubs, dwarf shrubs, and herbs to map fractions of each at subpixel scales. To account for seasonal differences, Landsat images acquired at the end of winter and at the beginning and end of summer were analyzed. Differentiation between elementary vegetation and soil cover fractions was achieved using a well-known multispectral unmixing technique in an adaptive way. In this way, an image-based zonal partition facilitated spectral end-members selection according to seasonal variations and to climatic/biotic/lithologic transitions. The methodology was then applied to three Landsat images of an area representing a climatic gradient in the center of Israel. New maps of spatial changes in vegetation cover fractions along the climatic gradient were produced. An important element of the new data relates to the distribution of dwarf shrubs in general, and of Sacroproterium spinosium in particular. These dwarf shrubs are of major ecological significance in countries of the eastern part of the Mediterranean Basin due to their rapid invasion into abandoned fields and burnt areas.

Original languageEnglish
Pages (from-to)5-20
Number of pages16
JournalRemote Sensing of Environment
Volume82
Issue number1
DOIs
StatePublished - 1 Sep 2002

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences

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