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Land Evaluation in Europe










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    Book (stand-alone)
    Prognosis of salinity and alkalinity. Report of an Expert Consultation, Rome, 3-6 June 1975
    FAO Soils Bulletin 31
    1976
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    This FAO Soils bulletin is the result of an expert consultation held as a joint venture between FAO and ISSS sub commission on Salt Affected Soils. This meeting took place at FAO from 3-6 June 1975. The purpose of the Consultation was to obtain expert advice on scientific and applied research activities in the prognosis of salinity and alkalinity. The following subjects were presented for discussion: 1) extent and evolution of salt affected soils and economic land classification 2) factors to be considered for prognosis, 3) methods of prognosis and monitoring and 4) tentative guidelines.
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    Guidelines: land evaluation for extensive grazing
    FAO Soils Bulletin No. 58
    1991
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    Extensive grazing is the predominant form of land use on at least a quarter of the world’s land surface, in which livestock are raised on food that comes mainly from rangelands. Extensive grazing differs from crop or forestry production, in which the produce remains in situ whilst growing. Evaluation for extensive grazing, unlike that for cropping or forestry, must take into account the production of both grazing forage, termed primary production, and the livestock that feed on this forage, term ed secondary production. Extensive grazing also differs from intensive grazing, in which the animal feed comes mainly from artificial, seeded pastures and not from unimproved rangeland. This relationship between livestock and arable farming must be considered when evaluating land for improved uses in which livestock play a major part. If one component of the overall land use is developed in isolation from the others, the balance between extensive grazing and arable farming may easily be distur bed. Land evaluation is used to identify alternative land uses or changes in management that will better meet national or local needs, and to estimate the consequences of each feasible change. In terms of extensive grazing, it encourages the promotion of sustainable land uses that integrate land, livestock and people for their mutual benefit.
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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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