GIS and Remote Sensing Techniques in Land- and Water-management
Auke Dijk, Marinus Gijsberthus Bos
Kluwer Academic, 2001 - Nature - 92 pages
Managing land and water is a complex affair. Decisions must be made constantly to allocate and use natural resources. Decision and action in any use of resources often have strong interactions and side-effects on others, therefore it is extremely important to monitor and forecast the impacts of the decisions very carefully. Reliable information and clear data manipulation procedures are compulsory for monitoring and forecasting. Remote Sensing has considerable potential to provide reliable information. A Geographic Information System is an easy tool for manipulating and analysing the data in a clear and fast way. This book describes in seven practical examples how GIS and Remote Sensing techniques are successfully applied in land and water management.
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Measuring and analysing of ﬂood waves in Rhine river
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absorption actual evaporation agriculture albedo algorithm Amudarya analysis application aquatic humus Aral Sea atmospheric average backscattering Bliesen calculated catchment chlorophyll coefﬁcient computed concentration crop deﬁcit Delft derived developed discharge end-user estimating eutrophic evaporative fraction ﬁeld Figure ﬁrst ﬂight ﬂood wave ﬂow forest Frisian Lakes gauge Geo-data Geographic Information System GIS and Remote heat ﬂux height hydrological modelling inﬂuence inherent optical properties inland waters Intemational inverse irrigation Kootwijk land and water Landsat Landsat TM laser altimetry laser data maps measured mm/d MODTRAN Mosel Mosel basin Netherlands phytoplankton point density processing rainfall recession constant reﬂectance remote sensing data Remote Sensing Techniques resolution river satellite images SEBAL sensor simulation soil moisture soil moisture conditions spatial SPOT sufﬁcient surface surface runoff Techniques in Land test area tool Unit Hydrograph users Utrechtse heuvelrug velocity WARMIS water level water management water quality water quality parameters wavelength