Tag: agriculture
New project on agricultural production in Central Asia
In January 2015, a new project on Assessing Land Value Changes and Developing a...
Read MoreSatellite 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...
Read MoreSecond 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,...
Read MoreNew 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...
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Open-Source WebGIS WUEMoCA (Water Use Efficiency Monitor in Central Asia)
Open-Source WebGIS for Monitoring the Water Use Efficiency in Central Asia For sustainable water...
Read MoreLaVaCCA 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...
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fieldRS updated (v0.2.1)
fieldRS 0.2.1 is on CRAN! See the package news for details. Highlights:extractFields() can...
Read MoreNew 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...
Read MoreNew 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...
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Five Years of Data Cube Innovations in AgriSens DEMMIN 4.0
Over the past five years, we made significant advancements with our Data Cube development within...
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Kick-Off meeting AgriSens Demmin 4.0 extension phase
The project AgriSens Demmin 4.0 met these days in Halle to kick-off the extension phase of the...
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The EORC at the 35th International Africa Festival in Würzburg
The 35th International Africa Festival, the largest event for African culture and music in Europe,...
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