Pixel-oriented (left) and object-oriented (right) classification of VHR data (center)
     
  Projects  

overview

Research Projects of the Geomatics Lab:

Data integration and data mining

DHAKA-INNOVATE

DeSurvey

EnMAP-Box

EnMAP Core Science Team

Environmental justice

Graduate School on Urban Ecology

Land changes in Albania and Kosovo

Linking urban land use characteristics and mental illness

Metrik

Modeling cropland dynamics in Romania

Modeling with domain-specific languages

Risk model of Dengue Disease in Malaysia

Social and health characteristics in urban areas

Urban Environmental Monitoring

Urban Environmental Monitoring II

Urban growth in Greater Tirana

Research Collaborations:

ESF Exploratory Workshop:
EuCaRe


EARSeL workshop

Post-USSR land cover

Rapid urbanization

Other Projects of the Geomatics Lab:

Geodateninfrastruktur external link

imageSVM

Research Projects of the Geomatics Lab

DeSurvey - A Surveillance System for Assessing and Monitoring of Desertification

DeSurvey integrates 10 modules on an integrated approach to monitor, assess, and model desertification from local to regional scales in the European Mediterranean. Integrated remote sensing and geomatics approaches represent one of the few available options to derive spatially explicit assessments of areas affected by land degradation or desertification processes. The geomatics module of DeSurvey primarily envisages to

(i) repeatedly assess land surface conditions based on standardised indicators for soil and vegetation properties,
(ii) identify spatial patterns of land use changes and the underlying forces at regional and local scales,
(iii) design integrated model-based approaches to assess and monitor land condition (i.e. the capacity of the land to support the production of goods and services) in areas prone to land degradation and desertification processes,
(iv) evaluate prospective methodological research issues for future improvements of the overall assessment and monitoring concepts.

Geomatics approaches are depending on input concerning regional hot spot analysis, as supported by a number of other work packages in DeSurvey, but also provide regional to local scale information. Hence, it is crucial not to adhere exclusively to the sequence of work packages, but rather to run an iterative approach leaving room for successive refinement of results. In that context, the geomatics module will initially focus on a preliminary set of known “desertification hot spots” from previous studies (e.g. DeMon-II, GeoRange, Ladamer, Roselt) and available expert knowledge.

Regarding the portability (to other affected regions) and future applicability of the DeSurvey mapping approaches it is considered of substantial importance to evaluate the use of up-to-date sensor systems for improving and replacing currently used technologies. Specific emphasis will be given to SPOT/VEGETATION, MODIS/ASTER on the NASA EOS platforms, and MERIS on the European ENVISAT system, with their synergistic data acquisition and increased detection capacities. The potential of novel sensors, such as Meteosat Second Generation (MSG), hyperspectral imagers, and explorative methods will be intensely studied as an exploratory branch of the DeSurvey geomatics module.

One of the central modules of DeSurvey focuses on geomatics methods and remote sensing (M 5 – Geomatics based land condition assessment; PI of M 5: Prof. Dr. Joachim Hill, University of Trier, Germany) – thematically also the main interest of the Geomatics Department, Humboldt-Universität zu Berlin. The Geomatics Department will concentrate on issues of up- and downscaling by qualitative and quantitative analysis of geometric high resolution remote sensing imagery over time spans of 20 to 30 years. This research is part of DeSurvey work package 5.2 – Local dynamics of land use systems (PI of WP 5.2: Eric Lambin, University of Louvain, Belgium).

The general objective of WP 5.2 is to characterise the spatio-temporal processes underlying land use transitions that eventually lead to desertification at the landscape scale. It will provide local scale estimates of vegetation cover and LUS changes in the target areas. Spatial models of land use/cover change and land degradation will be developed and used to identify the landscape determinants of the location of changes.

Principal Investigator:
Prof. Dr. Patrick Hostert

Project Investigator:
Ruth Sonnenschein

Funding:
European Commission, EU-FP6 Integrated Project

Duration:
03/2005 – 03/2008

Project Website:
www.desurvey.net external Link

 
       
 
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Geomatics Lab,
Humboldt-Universität zu Berlin.
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