%0 Journal Article %1 noauthororeditor %A Schönbrodt-Stitt, Sarah %A Conrad, Christopher %A Dimov, Dimo %A Ergashev, Ikrom %A Löw, Fabian %A Morper-Busch, Lucia %A Muminov, Stherzod %A Ruziev, Islom %A Schorcht, Gunther %A Solodky, Georgy %A Sorokin, Denis %A Stulina, Galina %A Toshpulatov, Rustam %A Zaitov, Sherzod %A Kitapbayev, Almas %A Unger-Shayesteh, Katy %D 2018 %J Novel Methods and Results of Landscape Research in Europe, Central Asia and Siberia, Vol. 4 Optimising Agricultural Landscapes %K article Schoenbrodt LSFE %N 72 %P 351 - 356 %T The WUEMoCA Tool for Monitoring Irrigated Cropland Use and Water Use Efficiency at the Landscape Level of the Aral Sea Basin %V 4 %X Water scarcity in the Aral Sea Basin together with the persistent dependency from agricultural production as well as with the effects of population growth and climate change is supposed to imply future conflicts in all water-use sectors. An efficient and sustainable irrigation agriculture will essentially contribute to sustainable regional development. Optical satellite remote sensing (RS) data such as MODIS provides necessary information for monitoring irrigated cropland use on the regional, respectively landscape scale. In this context, the WUEMoCA tool intends to provide agriculturally relevant, spatio-temporal geoinformation to support planning in the water resources management sector. Potential groups of end-users comprise policy makers and advisors from national governments but also regional and transboundary decision makers and specialists dealing with geoinformation technology and RS based analysis for sustainable land and water resources management. %@ ISBN 978-5-9238-0250-4 (Vol. 4)

@article{noauthororeditor, abstract = {Water scarcity in the Aral Sea Basin together with the persistent dependency from agricultural production as well as with the effects of population growth and climate change is supposed to imply future conflicts in all water-use sectors. An efficient and sustainable irrigation agriculture will essentially contribute to sustainable regional development. Optical satellite remote sensing (RS) data such as MODIS provides necessary information for monitoring irrigated cropland use on the regional, respectively landscape scale. In this context, the WUEMoCA tool intends to provide agriculturally relevant, spatio-temporal geoinformation to support planning in the water resources management sector. Potential groups of end-users comprise policy makers and advisors from national governments but also regional and transboundary decision makers and specialists dealing with geoinformation technology and RS based analysis for sustainable land and water resources management. }, added-at = {2020-09-11T12:04:50.000+0200}, author = {Schönbrodt-Stitt, Sarah and Conrad, Christopher and Dimov, Dimo and Ergashev, Ikrom and Löw, Fabian and Morper-Busch, Lucia and Muminov, Stherzod and Ruziev, Islom and Schorcht, Gunther and Solodky, Georgy and Sorokin, Denis and Stulina, Galina and Toshpulatov, Rustam and Zaitov, Sherzod and Kitapbayev, Almas and Unger-Shayesteh, Katy}, biburl = {https://www.bibsonomy.org/bibtex/203b216137922687b4e09e9b9c85c779e/earthobs_uniwue}, interhash = {c3ab3e0ac4fe169b1633a89c23954df0}, intrahash = {03b216137922687b4e09e9b9c85c779e}, isbn = {ISBN 978-5-9238-0250-4 (Vol. 4)}, issn = {ISBN 978-5-9238-0246-7}, journal = {Novel Methods and Results of Landscape Research in Europe, Central Asia and Siberia, Vol. 4 Optimising Agricultural Landscapes}, keywords = {article Schoenbrodt LSFE}, number = 72, pages = {351 - 356}, timestamp = {2020-11-18T22:08:33.000+0100}, title = {The WUEMoCA Tool for Monitoring Irrigated Cropland Use and Water Use Efficiency at the Landscape Level of the Aral Sea Basin }, volume = 4, year = 2018 }