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Crop classification with remote sensing

A measure of water abstraction control







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    Book (stand-alone)
    Training workshop on harmonization of land cover and forest classification in remote sensing - Asia Pacific Region, 4-8 December 2006, Dehradun, India
    draft proceedings
    2006
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    The main objective of the training workshop was to train the participants in reviewing and analysing the remote sensing based forest classifications in their countries to facilitate the harmonization and standardization at the sub-region and regional level and it included the new demands of remote sensing based information for reporting to Convention on Biological Diversity (CBD) in the year 2010. A supplementary objective was to inform the participants about the proposed design and th e implementation process of the remote sensing component of Forest Resources Assessment (FRA) 2010.
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    Brochure, flyer, fact-sheet
    Sri Lanka: Assessing crop water productivity in Malwathu Oya using remote sensing
    KnoWat: Knowing water better - Towards a more equitable and sustainable access to natural resources to achieve food security
    2022
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    In Sri Lanka, the project Knowing water better - Towards a more equitable and sustainable access to natural resources to achieve food security (KnoWat) established a modern geospatial database based on the FAO’s Water Productivity through Open-access of Remotely sensed derived data (WaPOR) tool. Different data on water resources are needed to assess and improve water management. In Sri Lanka, the lack of reliable data on water resources made for example agricultural predictions, plans and decisions challenging.

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