New RapidEye datasets granted from RESA platform of DLR/Black Bridge 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 recently been accepted, and the PhD work of Christian Bauer will be supported by a time series of RapidEye… Read More
New publication on decision fusion Our 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 data from RapidEye by considering different classifier algorithms and decision fusion. Four non-parametric classifier algorithms, decision tree (DT), random forest (RF), support vector machine (SVM), and multilayer… Read More
LaVaCCA Team inspecting agricultural landscape in Khorezm “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 Asia. In this region, vast irrigation systems were installed during Soviet times, but after breakdown in the 1990s many fields were finally… Read More
Second R training in Central Asia (LaVaCCA) From 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, Uzbekistan. During this meeting, the second R-course was done in the scope of the capacity building of the LaVaCCA Project.… Read More
New paper on farmland abandonment in Central Asia A 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 and socio-economic consequences. Yet, spatially explicit information on the spatial pattern of abandonment is sparse, particularly in post-Soviet countries of… Read More
LaVaCCA Introductory GIS / R course in Almaty, Kazakhstan After 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 from the Department of Remote Sensing, Würzburg University. Young scientific staffers, post-docs and PhD students as well as… Read More
Satellite based locust habitat monitoring in the Aral Sea basin The 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 Aral Sea basin.… Read More
LaVaCCA Project kick-off meeting in Almaty, Kazakhstan On 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 packages and important organizational issues.… Read More
New project on agricultural production in Central Asia In January 2015, a new project on Assessing Land Value Changes and Developing a Discussion-Support-Tool for Improved Land Use Planning in the Irrigated Lowlands of Central Asia (LaVaCCA), funded by the Volkswagen Foundation was started by the Central Asia research group at the Department of Remote Sensing in Würzburg.… Read More
New publication on classification uncertainty A 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 the question of which factors influence the spatial distribution of classification uncertainty in land use maps.… Read More