Dr. Simone Naumann Profile

Dr. Simone Naumann

at Pädagogische Hochschule Heidelberg

SPIE Involvement:

Author

Proceedings Article | 25 October 2012 Paper

Detection and assessment of land use dynamics on Tenerife (Canary Islands): the agricultural development between 1986 and 2010

Sebastian Günthert, Simone Naumann, Alexander Siegmund

Proceedings Volume 8538, 853804 (2012) https://doi.org/10.1117/12.978703

KEYWORDS: Agriculture, Image segmentation, Image classification, Orthophoto maps, Satellite imaging, Earth observing sensors, Satellites, Statistical analysis, Image processing, Climatology

Read Abstract +

Since Spanish colonial times, the Canary Islands and especially Tenerife have always been used for intensive agriculture. Today almost 1/4 of the total area of Tenerife are agriculturally affected, whereas especially mountainous areas with suitable climate conditions are drastically transformed for agricultural use by building of large terraces. In recent years, political and economical developments lead to a further transformation process, especially inducted by an expansive tourism, which caused concentration- and intensification-tendencies of agricultural land use in lower altitudes as well as agricultural set-aside and rural exodus in the hinterland. The overall aim of the research at hand is to address the agricultural land use dynamics of the past decades, to statistically assess the causal reasons for those changes and to model the future agricultural land use dynamics on Tenerife. Therefore, an object-based classification procedure for recent RapidEye data (2010), Spot 4 (1998) as well as SPOT 1 (1986-88) imagery was developed, followed by a post classification comparison (PCC). Older agricultural fallow land or agricultural set-aside with a higher level of natural succession can hardly be acquired in the used medium satellite imagery. Hence, a second detection technique was generated, which allows an exact identification of the total agriculturally affected area on Tenerife, also containing older agricultural fallow land or agricultural set-aside. 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. Once the change detection analysis is realised, it is necessary to identify the different driving forces which are responsible for the agricultural land use dynamics. The statistical connections between agricultural land use changes and these driving forces are identified by the use of correlation and regression analyses.

Proceedings Article | 25 October 2010 Paper

Modeling and valuation of ecological impacts of land cover and land use changes on Tenerife (Canary Islands)

S. Günthert, A. Siegmund, S. Naumann

Proceedings Volume 7831, 783111 (2010) https://doi.org/10.1117/12.865107

KEYWORDS: Ecosystems, Satellites, Spatial resolution, Climate change, Agriculture, Climatology, Satellite imaging, Earth observing sensors, Environmental sensing, Vegetation

Read Abstract +

Proceedings Article | 7 October 2009 Paper

Modeling techniques for gaining additional urban space

Holger Thunig, Simone Naumann, Alexander Siegmund

Proceedings Volume 7478, 74781X (2009) https://doi.org/10.1117/12.830723

KEYWORDS: Remote sensing, Spatial resolution, Geographic information systems, Decision support systems, Earth observing sensors, Satellites, Algorithm development, Data modeling, Orthophoto maps, Lithium

Read Abstract +

Proceedings Article | 22 October 2004 Paper

Object-oriented image analysis and change detection of land-use on Tenerife related to socio-economic conditions

Simone Naumann, Alexander Siegmund

Proceedings Volume 5574, (2004) https://doi.org/10.1117/12.565573

KEYWORDS: Data modeling, Landsat, Vegetation, Image segmentation, Orthophoto maps, Image classification, Geographic information systems, Image analysis, Agriculture, Earth observing sensors

Read Abstract +

Conference Committee Involvement (1)

Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V

19 September 2005 | Bruges, Belgium

Keywords/Phrases

Search In:

Publication Years