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Proceedings Paper

Object-based detection of LUCC with special regard to agricultural abandonment on Tenerife (Canary Islands)
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Paper Abstract

The island Tenerife has always been used for intensive agriculture, whereby the natural landscape was continuously altered. Especially mountainous areas with suitable climate conditions have been drastically transformed for agricultural use by building of large terraces to get flat surfaces. In recent decades political and economic developments lead to a transformation process (especially inducted by an expansive tourism), which caused concentration- and intensificationtendencies of agricultural land use as well as agricultural set-aside and rural exodus. In order to get information about the land use and land cover (LULC) patterns and especially the agricultural dynamics on Tenerife, a multi-scale, knowledge-based classification procedure for recent RapidEye data was developed. Furthermore, a second detection technique was generated, which allows an exact identification of the total ever utilised agricultural area on Tenerife, also containing older agricultural fallow land or agricultural set-aside with a higher level of natural succession (under the assumption that long-term fallow areas can be detected mainly together with old agricultural terraces and its specific linear texture). These areas can hardly be acquired in the used satellite imagery. The method consists of an automatic texture-oriented detection and area-wide extraction of linear agricultural structures (plough furrows and field boundaries of arable land, utilised and non-utilised agricultural terraces) in current orthophotos of Tenerife. Through the detection of recent agricultural land use in the satellite imagery and total ever utilised agricultural area in the orthophotos, it is possible to define the total non-active agricultural land as well as hot spots of agricultural decrease.

Paper Details

Date Published: 27 October 2011
PDF: 7 pages
Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 81811I (27 October 2011); doi: 10.1117/12.897583
Show Author Affiliations
Sebastian Günthert, Univ. of Education Heidelberg (Germany)
Heidelberg Univ. (Germany)
Alexander Siegmund, Univ. of Education Heidelberg (Germany)
Heidelberg Univ. (Germany)
Holger Thunig, Univ. of Education Heidelberg (Germany)
Ulrich Michel, Univ. of Education Heidelberg (Germany)


Published in SPIE Proceedings Vol. 8181:
Earth Resources and Environmental Remote Sensing/GIS Applications II
Ulrich Michel; Daniel L. Civco, Editor(s)

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