Thumbnail Image

JORDAN - Land Cover Atlas

Year of publication 2019

Place of publication Rome, Italy ;

Pages 70 p.

Author Franceschini, G. ; De Leo, E. ; Muchoney, D.

Publisher FAO ;

Product type Book (stand-alone)

ISBN 978-92-5-131305-3

Edition 1

Synopsis (short abstract) 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.

Language English

Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Book (stand-alone)
    Lesotho: Land cover atlas 2017–2023 2023
    Also available in:
    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).
  • Thumbnail Image
    Book (stand-alone)
    Land Cover Atlas of the Republic of South Sudan 2023
    Also available in:
    No results found.
    Understanding the distribution of different land cover classes, as revealed by the updated Land Cover Atlas, holds paramount importance and is an innovative approach in helping to understand land cover dynamics. It enables decision-makers to harness this knowledge for strategic planning and informed decision-making in sectors such as agriculture, conservation, water resource management, and land degradation prevention. By recognizing the distribution and dynamics of land cover, stakeholders can work towards sustainable development goals, ecological resilience, and improved livelihoods in South Sudan. The development and utilization of the Land Cover Atlas highlight the significance of innovation, collaboration, and partnerships in decision-making processes and land cover management. By fostering collaborative efforts between organizations like the Food and Agriculture Organization of the United Nations (FAO), the Government of South Sudan, and supportive donors, a comprehensive understanding of land dynamics can be achieved. This collaborative approach enables stakeholders to work together towards effective resource management, resilience-building, and sustainable development, benefiting the people and environment of South Sudan.
  • Thumbnail Image
    Book (stand-alone)
    Land Cover Atlas of Yemen 2024
    Also available in:
    No results found.
    Understanding the utilization, distribution, temporal variations, and human activities related to natural resources is crucial for sustainable land management, especially in Yemen, a country grappling with prolonged conflicts and severe environmental challenges. The competition for natural resources such as water, arable land, and wood among various stakeholders with diverse interests often leads to land degradation and is a key driver of tensions and conflicts. Therefore, obtaining this fundamental information is imperative for promoting sustainable land use and mitigating the negative impacts of resource competition.In Yemen, land cover mapping is essential to support growing concerns about food and nutrition security, improving the resilience of livelihoods to threats and crises in the context of climate change. This atlas contains the land cover dataset for Yemen, prepared as part of a portfolio of projects aimed at enhancing governance and preventing conflicts across the country. The ultimate goal is to reduce displacement and irregular migration by promoting household food security, nutrition, and income.Creating an accurate initial inventory of natural resources is critical for sustaining these achievements over time. The new land cover dataset allows for detailed mapping of natural resources, human settlements, and activities in Yemen. It represents an updated dataset developed for Yemen, integrating high-resolution multi-temporal imagery, machine-learning algorithms, and the Land Cover Meta Language (LCML) to support the Natural Resource Management strategy, land use planning, and other innovative approaches.
Show more

Users also downloaded

Showing related downloaded files

No results found.