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Book (stand-alone)Lesotho: Land cover atlas 2017–2023 2023
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No results found.The Lesotho Next Generation Land Cover Database (NextGen-LCDB) and Atlas (NextGen-Atlas) have been prepared in support of ReNOKA, the national programme for Integrated Catchment Management in Lesotho, through the Action “Support to Integrated Catchment Management in Lesotho”, co-financed by the EU and BMZ, and implemented by GIZ. The NextGen-LCDB was developed in close collaboration with the ICM management Unit, the ICM Data Reference Group, and the Lesotho Governmental Institutions including the Bureau of Statistics (BOS), Ministry of Agriculture and Food Security (MAFS), Ministry of Forestry, Range and Soil Conservation (MFRSC). The Lesotho Government supported the construction of the NextGen-Atlas by supporting the development of the legend, revising the methodology, and participating actively in the field survey campaign. The MFRSC played a key role in the survey design and in the definition of environmental indicators for rangelands and wetlands. The ICM Data Reference Group and the Bureau of Statistics (BOS) played a decisive role in the validation of the land cover methodology and the NextGen-LCDB. The NextGen-Atlas of Lesotho provides information on the land cover distribution at multiple geographical levels and across the time frame 2017-2022: at the national level, at the district level, at the municipality level, at the main catchment area level, and by six selected Sub-Catchment areas under ICM priority interventions. The development of the NextGen-Atlas involved the use of ancillary datasets provided by the Ministry of Forestry, Range and Soil Conservation (MFRSC), Ministry of Local Government and Chieftainship Affairs (MLGCA), Ministry of Agriculture and Food Security (MAFS), Ministry of Tourism, Environment and Culture (MTEC), Ministry of Water Affairs (MWA) and Lesotho Land Administration Authority (LAA). -
Brochure, flyer, fact-sheetLand Cover Mapping of the Republic of South Sudan 2023
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No results found.This brochure represents a simplified and introductory version of the more detailed publication: "Land Cover Atlas of the Republic of South Sudan". Understanding natural resources' utilization, distribution, temporal variations, and human activities is crucial for sustainable land management, especially in areas facing long-standing crises and significant environmental challenges. The competition for natural resources such as water, grassland, and wood among various stakeholders with diverse visions and interests is not only responsible for land degradation but also often a key driver of tensions and violent conflicts. Therefore, obtaining this fundamental information is imperative for promoting sustainable land use and mitigating the negative impacts of resource competition. -
Book (stand-alone)JORDAN - Land Cover Atlas 2019
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No results found.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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