The Department of Remote Sensing recently applied for a time series of RapidEye scenes to support a PhD thesis by Christian Bauer (Dep. of Remote Sensing, Würzburg) in the context of the project LaVaCCA. The proposal has...
Read MoreOur new publication in ISPRS is accepted: “Decision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data”. This study addressed the classification of multi-temporal satellite...
Read More“This field has been abandoned approximately 30 years ago” – such statements can be heard quite often when one talks with farmers in Khorezm, one of the largest irrigated agricultural landscapes in Central...
Read MoreFrom June 29th to July 2rd, experts from the Department of Remote Sensing, Würzburg University, met their colleagues of the LaVaCCA project from KRASS, SIC-ICWC, and Al´Farabi University at the office of KRASS in Urgench,...
Read MoreA new paper on cropland abandonment in Central Asia was published in Applied Geography in the context of the LaVaCCA Project. In many regions worldwide, cropland abandonment is growing, which has strong and known environmental...
Read MoreAfter the kick-off meeting of the Volkswagen Foundation funded LaVaCCA project in Almaty (see post), an intensive R/GIS training was held in the GIS lab of the Al ́Farabi Kazakh National University, organized and led by staffers...
Read MoreThe Central Asia research team at the Department of Remote Sensing, Würzburg University, recently started investigating potential risk areas for infestation of the Asian Migratory locust, Locusta migratoria migratoria L., in the...
Read MoreOn 09/10 February 2015 the LaVaCCA project team from Würzburg met with the project consortium at the Al´ Farabi National Kazakh University, Kazakhstan. The initial project meeting focused on the presentation of the working...
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In January 2015, a new project on Assessing Land Value Changes and Developing a...
Read MoreA new paper published recently in ISPRS presents our ongoing research on classification uncertainty in the context of multi-temporal object-based classification, based on support vector machines (SVM). It adds a contribution to...
Read MoreA new paper published recently in PFG presents our ongoing research on the scale issue in the context of supervised image classification for crop monitoring. It extends a conceptional framework for the definition of pixel size...
Read MoreMustakim Akhmedov from Tajikistan is recently visiting the Department of Remote Sensing in Würzburg. He is doing his MSc on Integrated Water Resource Management at the Kazakh-German University (DKU, see link) in Almaty,...
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