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Land Cover Classification System - Classification concepts










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    Book (stand-alone)
    Land Cover Classification System - User Manual 2016
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    Classification Concepts The FAO Land Cover Classification System software is due to be released in its third version, and with it come four supporting volumes. The second volume is the User Manual which is a practical guide to all the features of the software version 3, with examples of how to make various types of classes e.g. for distinguishing managed and non-managed forest. The FAO LCCS is applicable to commercial use, national security, environmental protection, natural resource management , climate change mitigation and tracking of greenhouse gas emissions; and creates land classifications that are internationally transparent and comparable.
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    Book (stand-alone)
    Land Cover Classification System: Advanced Database Gateway
    Software version 3
    2016
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    Advanced Database Gateway The FAO Land Cover Classification System software is due to be released in its third version, and with it come four supporting volumes. The third volume is a tutorial for the use of the Advanced Database Gateway which allows users to better interact with the LCCS and adapt it to their needs. The FAO LCCS is applicable to commercial use, national security, environmental protection, natural resource management, climate change mitigation and tracking of greenhouse gas emi ssions; and creates land classifications that are internationally transparent and comparable.
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    Book (stand-alone)
    JORDAN - Land Cover Atlas 2019
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    The Jordanian Land Cover Database and Atlas were developed under the Regional Food Security Analysis Network (RFSAN) project. The main objective of the project is to increase and improve provision of goods and services from agriculture, forestry and fisheries in a sustainable manner as well as to increase the understanding of the bio-physical conditions of land in Jordan. The Land Cover Atlas of the Hashemite Kingdom of Jordan provides information on the land cover distribution by sub-national administrative boundaries (governorates and districts) provided by the Royal Geographic Centre (RJGC). The Land Cover Database is compliant with the ISO\FAO standard (ISO 19144-2:2012) based on the land cover classification system (LCCS): Land Cover Meta Language (LCML). LCML was implemented to support the standardization and integration of a national land cover classification system across the world. It provides a set of standard diagnostic attributes that are independent of the scale of interpretation. Its use advocates for a more transparent and comparable way of reporting land cover information. The LCML land cover legend was designed with the software LCCSv3. The main data source includes multispectral Sentinel-2 imagery at 10 m of spatial resolution acquired from April to November 2016 and ancillary georeferenced data (land cover and land use map, vegetation cover, soil map) obtained from different institutions. Sentinel-2 imagery were pre-processed and mosaicked to provide a temporal sequence of free-cloud, calibrated images. Then, an Object-Based Image Analysis workflow was applied to segment the images into homogeneous polygons, that were interpreted according to their spectral, texture and shape characteristics supported by vegetation indices and ancillary datasets. Post-processing finally removed incoherent classifications, clipping and dissolving polygons to official boundaries. The final database comprises 1 million polygons classified according to the LCCS Legend distinguished into 34 classes (23 aggregated classes). The statistical analysis of land cover aggregated class distribution is organized into two sections: • National Land Cover Data Base (LCDB). • LCDB by governorates. This work represents a substantial contribution to understanding land cover and land processes in the Hashemite Kingdom of Jordan and provides valuable baseline data to further monitor land changes in the future.

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