Print Email Facebook Twitter Remote Sensing and Economic Indicators for Supporting Water Resources Management Decisions Title Remote Sensing and Economic Indicators for Supporting Water Resources Management Decisions Author Hellegers, P.J.G.J. Soppe, R. perry, C.J. Bastiaanssen, W.G.M. Faculty Civil Engineering and Geosciences Department Water Management Date 2009-12-24 Abstract This paper demonstrates that combining spatial land surface data with socio-economic analysis provides a number of indicators to strengthen decision making in integrated water and environmental management. It provides a basis to: track current water consumption in the Inkomati Basin in South-Africa; adjust irrigation water management; select crop types; facilitate planning; estimate crop yields before harvesting, and consequently to forecast market price development. Remote sensing data and economic analysis can also be used to study the spatial distribution of water consumption as an indicator of equity in access to water resources. It even enables identification of farms that consume more irrigation water than formally allocated. Finally, it provides a basis to assess the cost-effectiveness of various ways to reduce agricultural water consumption. So, this approach is potentially useful for determining water consumption, refining water allocation policies, and determining the potential for water transfers through mechanisms such as water trading. Subject Remote sensingEconomic analysisCost-effectivenessSpatial and temporal variabilityWater consumptionExcess useOpportunity costs To reference this document use: http://resolver.tudelft.nl/uuid:743bd224-e72a-4d44-a878-f68e1495bef7 DOI https://doi.org/10.1007/s11269-009-9559-2 Publisher Springer Verlag ISSN 0920-4741 Source Water Resources Management, 24 (1), 2010 Part of collection Institutional Repository Document type journal article Rights (c) 2009 The Author(s). This article is published with open access at Springerlink.com Files PDF hellegers2010.pdf 1.14 MB Close viewer /islandora/object/uuid:743bd224-e72a-4d44-a878-f68e1495bef7/datastream/OBJ/view