This dataset is about the land use land cover dataset which helps t

Land Use Land Cover Change in Ethiopian basins during the last three decades, following the literature review summarized in "Regasa, M. S., Nones, M., & Adeba, D. (2021). A review on land use and land cover change in Ethiopian basins. Land, 10(6), 585."

This map represents the Ethiopia Land Cover map for the development of Green House Gas Inventory . These products were derived from LandSat Imagery Data through a supervised classification method. The Ancillary data was provided by Ethiopia Mapping Agency.

Land cover change SLMP pilot watershed

This dataset provides a two-tier annual Land Use (LU) and Urban Land Cover (LC) product suite over three African countries, Ethiopia, Nigeria, and South Africa, across a 5-year period of 2016-2020. Remote sensing data sources were used to create 30-m resolution LU maps (Tier-1), which were then utilized to delineate urban boundaries for 10-m resolution LC classes (Tier-2). Random Forest machine learning classifier models were trained on reference data for each tier and country (but one model was trained across all years); models were validated using a separate reference data set for each tier and country. Tier-1 LU maps were based on the 30-m Landsat time series, and Tier-2 urban LC maps were based on the 10-m Sentinel-2 time series. Additional data sources included climate, topography, night-time light, and soils. The overall map accuracy was 65-80% for Tier-1 maps and 60-80% for Tier-2 maps, depending on the year and country. The data are provided in cloud optimized GeoTIFF (COG) format.

Ethiopia Land Cover: Cropland: Total data was reported at 23.810 % in 2020. This records a decrease from the previous number of 24.320 % for 2015. Ethiopia Land Cover: Cropland: Total data is updated yearly, averaging 24.510 % from Dec 2000 (Median) to 2020, with 5 observations. The data reached an all-time high of 24.800 % in 2000 and a record low of 23.810 % in 2020. Ethiopia Land Cover: Cropland: Total data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ethiopia – Table ET.OECD.ESG: Environmental: Land Cover: Non OECD Member: Annual.

Ethiopia Land Cover: Grassland: Mosaic Herbaceous Cover: More than 50% or Tree and Shrub: Less than 50% data was reported at 15.690 sq km th in 2019. This records a decrease from the previous number of 15.807 sq km th for 2018. Ethiopia Land Cover: Grassland: Mosaic Herbaceous Cover: More than 50% or Tree and Shrub: Less than 50% data is updated yearly, averaging 15.801 sq km th from Dec 1992 (Median) to 2019, with 5 observations. The data reached an all-time high of 16.206 sq km th in 2004 and a record low of 15.690 sq km th in 2019. Ethiopia Land Cover: Grassland: Mosaic Herbaceous Cover: More than 50% or Tree and Shrub: Less than 50% data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ethiopia – Table ET.OECD.ESG: Environmental: Land Cover: Non OECD Member: Annual.

Ethiopia Land Cover: Inland Water: Water Bodies data was reported at 7.668 sq km th in 2019. This records a decrease from the previous number of 7.678 sq km th for 2018. Ethiopia Land Cover: Inland Water: Water Bodies data is updated yearly, averaging 7.670 sq km th from Dec 1992 (Median) to 2019, with 5 observations. The data reached an all-time high of 7.703 sq km th in 2015 and a record low of 7.642 sq km th in 2004. Ethiopia Land Cover: Inland Water: Water Bodies data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ethiopia – Table ET.OECD.ESG: Environmental: Land Cover: Non OECD Member: Annual.

Land Cover maps were developed for Green Houses gases Inventories to provide baseline data for Land use, land-use change and forestry (LULUCF)sector. The coverage for the Land Cover maps is NINE Eastern and Southern Africa (ESA) countries namely: Ethiopia, Botswana, Lesotho, Malawi, Namibia, Rwanda, Tanzania, Uganda, and Zambia. The Land Cover maps have been developed from LandSat Imagery (30m by 30m) resolution using supervised classification. Image interpretation was done per scene. Images used for classification were selected based on seasonality, dry season images preferred. Land Cover maps are developed for two epochs: 2010 and 2000. For each year flexibility in image selection is allowed from previous and next year in each epoch. An epoch for 1990 is available in some of the project countries such as Rwanda and Malawi. Classification scheme used is based on Intergovernmental Panel on Climate Change (IPCC) 6 land over categories for Scheme I: Forestland, Grassland, Wetland, Cropland, Settlement and Other land. Classification Scheme II is informed by country specific interest, definitions, descriptions, mapping goals and policy statements and documents with guidance from IPCC Good Practice guidelines. Scheme II is such that it meets the country specific mapping standards and can be rolled back to the IPCC categories. Final map is taken through a 3pixel by 3pixel filter to eliminate salt and pepper effect and remove isolated pixels.

Contact the Regional Centre for Mapping of Resources for Development at rcmrd@rcmrd.org for more information on GHG Land Cover Maps for Eastern and Southern Africa.

This map represents the Ethiopia Land Cover map for the development of Green House Gas Inventory . These products were derived from LandSat Imagery Data through a supervised classification method. The Ancillary data was provided by Ethiopia Mapping Agency.

This map represents the Ethiopia Land Cover map for the development of Green House Gas Inventory . These products were derived from LandSat Imagery Data through a supervised classification method. The Ancillary data was provided by Ethiopia Mapping Agency.

This raster file shows the land cover classification around Addis Ababa, Ethiopia, in 2010. The classification results were based on Spot 5 imagery. Land cover classes in the attribute table are as follows:
1) Neighborhoods with Small Regular Planned Buildings
2) Neighborhoods with Small Irregular Buildings
3) Neighborhoods with Large Buildings
4) Other (non-built up) Areas

Ethiopia Land Cover: Bare Area: Permanent Snow and Ice data was reported at 0.000 sq km th in 2019. This stayed constant from the previous number of 0.000 sq km th for 2018. Ethiopia Land Cover: Bare Area: Permanent Snow and Ice data is updated yearly, averaging 0.000 sq km th from Dec 1992 (Median) to 2019, with 5 observations. The data reached an all-time high of 0.000 sq km th in 2019 and a record low of 0.000 sq km th in 2019. Ethiopia Land Cover: Bare Area: Permanent Snow and Ice data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ethiopia – Table ET.OECD.ESG: Environmental: Land Cover: Non OECD Member: Annual.

Ethiopia Land Cover: Cropland: Herbaceous Cover data was reported at 21.399 sq km th in 2019. This records an increase from the previous number of 20.835 sq km th for 2018. Ethiopia Land Cover: Cropland: Herbaceous Cover data is updated yearly, averaging 20.416 sq km th from Dec 1992 (Median) to 2019, with 5 observations. The data reached an all-time high of 21.399 sq km th in 2019 and a record low of 20.032 sq km th in 1992. Ethiopia Land Cover: Cropland: Herbaceous Cover data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ethiopia – Table ET.OECD.ESG: Environmental: Land Cover: Non OECD Member: Annual.

Ethiopia Land Cover: Cropland: Tree or Shrub Cover data was reported at 0.000 sq km th in 2019. This stayed constant from the previous number of 0.000 sq km th for 2018. Ethiopia Land Cover: Cropland: Tree or Shrub Cover data is updated yearly, averaging 0.000 sq km th from Dec 1992 (Median) to 2019, with 5 observations. The data reached an all-time high of 0.000 sq km th in 2019 and a record low of 0.000 sq km th in 2019. Ethiopia Land Cover: Cropland: Tree or Shrub Cover data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ethiopia – Table ET.OECD.ESG: Environmental: Land Cover: Non OECD Member: Annual.

The dataset contains six files from three data sources: (1) the Ethiopia Rural Socioeconomic Survey (ERSS)/Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA), a three-round panel data for Ethiopia, filtered for Tigray region; (2) an ERSS follow-up survey on the beliefs and opinions of respondents on land use change conducted in August 2019 in Tigray; and (3) land cover transition data derived from LandSat satellite imagery for years 1986 and 2016. The files include data on household and plot features, prices of land use outputs, a diagonal block matrix of variables for mixed effects analysis, beliefs and opinions on land use change, and land cover transitions. The dataset covers 34 Enumeration Areas (EA) of the ERSS/LSMS-ISA and is representative of the region. It can be useful for studies on land use policies, environmental protection, and the drivers and impacts of land use land cover change in Tigray, Ethiopia. The data were processed using user-written c..., The ERSS/LSMS-ISA datasets are available in the public domain: Ethiopia Socioeconomic Survey (ESS) 2011-2012, Wave 1, http://dx.doi.org/10.48529/80xt-9m68; Ethiopia Socioeconomic Survey (ESS) 2013-2014, Wave 2, http://dx.doi.org/10.48529/mccp-y123; Ethiopia Socioeconomic Survey (ESS) 2015-2016, Wave 3, http://dx.doi.org/10.48529/ampf-7988. The data was accessed and filtered using the following criteria: saq01==1 & rural!=3, corresponding to selected households in the Tigray region engaged in farming activities in rural areas and small towns. Moreover, anyone can access LanSat imageries at https://earthexplorer.usgs.gov/ , , # Data from: multi-level determinants of land use land cover change in Tigray, Ethiopia: a mixed-effects approach using socioeconomic panel and satellite data

This dataset supports the manuscript “Multi-level determinants of land use land cover change in Tigray, Ethiopia: A mixed-effects approach using socioeconomic panel and satellite data†, which is under review in PLOS ONE.

This dataset contains six minimum datasets extracted from three different sources, namely (1) the Ethiopia Rural Socioeconomic Survey (ERSS)/Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) (2) an ERSS follow-up survey on the beliefs and opinions of respondents on land use change and (3) Land cover data derived from satellite imagery. Minimum dataset extracted from ERSS/LSMA-ISA are min_data_hh_features which includes variables characterizing each household in land use choice determinant analysis and min_data_plot_by_field_features which have data on variables characterizing each...

Ethiopia Land Cover: Other data was reported at 534.732 sq km th in 2019. This records a decrease from the previous number of 538.375 sq km th for 2018. Ethiopia Land Cover: Other data is updated yearly, averaging 545.614 sq km th from Dec 1992 (Median) to 2019, with 5 observations. The data reached an all-time high of 568.547 sq km th in 1992 and a record low of 534.732 sq km th in 2019. Ethiopia Land Cover: Other data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ethiopia – Table ET.OECD.ESG: Environmental: Land Cover: Non OECD Member: Annual.

This data set rerpresents land cover map for the year 2016. This layer was clipped from Sentinel-2 global land cover data

The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. The data is provided in near real time from January 2009 to present.

This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. The data is provided in near real time from January 2009 to present.