AgriSens News

JECAM 2017 Workshop

Since a significant portion of the JECAM network already was in Rome for SIGMA and Sen2Agri project meetings during the week of June 26, we took this opportunity to discuss new research directions. Consequently, a one day meeting has been planned for June 30 at the...

Project “GLAM.de”

Agricultural monitoring is essential for many global questions concerning food secrecy or ecosystem services. European and international initiatives aim on the development of data and information services for the early detection of seasonal negatively developments...

Project “WASCAL”

The Sudanian Savanna of West Africa has been identified as one of the most vulnerable to climate change. Climate models have predicted an increase in the occurrence of droughts and floods by the period 2080-2099. This is as a result of an increase in temperature...

Project “LaVaCCA”

"Assessing Land Value Changes and Developing a Discussion-Support-Tool for Improved Land Use Planning in the Irrigated Lowlands of Central Asia" (LaVaCCA) Immense losses of land productivity have been observed on eight million hectares of irrigated agricultural land...

Project “CAWa”

Water is a scarce and precious but unevenly distributed source in between the different countries in central Asia. The aim of the project "Water in Central Asia" (www.cawa-project.net) is to build a scientific and technical data basis for a sustainable water...

New publication on statistical derivation of FAPAR

Lex, S., Asam, S., Löw, F., and Conrad, C. (2015) Comparison of two Statistical Methods for the Derivation of the Fraction of Absorbed Photosynthetic Active Radiation for Cotton, Photogrammetrie, Fernerkundung und Geoinformation 2015, 55-67.

New publication on RapidEye time series

Dahms, T., Seissiger, S., Borg, E., Vajen, H., Fichtelmann, B., and Conrad, C. (2016) Important Variables of a RapidEye Time Series for Modelling Biophysical Parameters of Winter Wheat, Photogrammetrie - Fernerkundung - Geoinformation 2016,...

Project “Techs4timeS”

The major aim of the Techs4TimeS project is the development of generic pre-processing and analyzing methods in remote sensing of agricultural areas including grassland. First, Techs4TimeS focuses on the generation of time series with extreme high geometric and...

Project “PhenoS”

The aim of the PhenoS project is the development of algorithms and models for operational detection of phenological optimum time window for cost and computational efficientcy, improved land use classifications (crops, grassland, fallow land). Previously existing...

Third CAWa summer school

The third CAWa summer school took place in the German-Kazakh University (DKU) in Almaty, Kazakhstan from june 6th to june 11th 2016. 23 specialists from hydrological and meteorological services, dedicated master and PhD students as well as junior university teachers...

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