Land Cover Scheme I (Ethiopia - 2008)

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. **Contact points:** Resource Contact: Ethiopia Mapping Agency Resource Contact: [USAID](mailto:https://www.usaid.gov/) Resource Contact: [RCMRD](mailto:https://www.rcmrd.org/en/) Resource Contact: [NASA](mailto:https://www.nasa.gov/) Resource Contact: [US EPA](mailto:https://www.epa.gov/) Metadata Contact: [Patrick Kabatha. ](mailto:pkabatha@rcmrd.org) **Data lineage:** Data quality information not available **Resource constraints:** This Ethiopia Land Cover 2003 Scheme I is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/ **Online resources:** Ethiopia Land Cover 2013 Scheme I

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. **Contact points:** Resource Contact: Ethiopia Mapping Agency Resource Contact: [USAID](mailto:https://www.usaid.gov/) Resource Contact: [RCMRD](mailto:https://www.rcmrd.org/en/) Resource Contact: [NASA](mailto:https://www.nasa.gov/) Resource Contact: [US EPA](mailto:https://www.epa.gov/) Metadata Contact: [Patrick Kabatha. ](mailto:pkabatha@rcmrd.org) **Data lineage:** Data quality information not available **Resource constraints:** This Ethiopia Land Cover 2003 Scheme I is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/ **Online resources:** Ethiopia_LandCover_2013_Scheme_ii

The Dynamic Land Cover Dataset of Australia is the first nationally consistent and thematically comprehensive land cover reference for Australia. It is the result of a collaboration between Geoscience Australia and the Australian Bureau of Agriculture and Resource Economics and Sciences, and provides a base-line for identifying and reporting on change and trends in vegetation cover and extent. Land cover is the observed biophysical cover on the Earth's surface, including native vegetation, soils, exposed rocks and water bodies as well as anthropogenic elements such as plantations, crops and built environments. Remote sensing data recorded over a period of time allows the observation of land cover dynamics. Different land cover types display distinct responses due to seasonal, climatic and anthropogenic drivers. Classifying these responses provides a robust and repeatable way of characterising land cover types. A key aspect of land cover is vegetation greenness. The greenness of vegetation is directly related to the amount of photosynthesis occurring, and can be measured as an index such as the Enhanced Vegetation Index (EVI). The Dynamic Land Cover Dataset presents land cover information for every 250m by 250m area of the country from April 2000 to April 2008. The classification scheme used to describe land cover categories in the Dynamic Land Cover Dataset conforms to the 2007 International Standards Organisation (ISO) land cover standard (19144-2). The Dynamic Land Cover Dataset shows Australian land covers clustered into 34 ISO classes. These reflect the structural character of vegetation, ranging from cultivated and managed land covers (crops and pastures) to natural land covers such as closed forest and sparse, open grasslands. **Citation:** Lymburner, L., Tan, P., Mueller, N., Thackway, R., Lewis, A., Thankappan. M., Randall, L., Islam, A., and Senarath, U. (2011). The Dynamic Land Cover Datset. 95pp. GA Record 2011/31, ISBN 978-1-921954-30-6, Geoscience Australia, Canberra. **Contact points:** Resource Contact: CSIRO - AUSTRALIA’S NATIONAL SCIENCE AGENCY **Data lineage:** The source data for the Dynamic Land Cover Dataset is a time series of Enhanced Vegetation Index (EVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites operated by NASA. The time series includes 186 snapshots of vegetation greenness for each 250m by 250m area across the continent over an 8 year period from 2000 to 2008. **Resource constraints:** © Commonwealth of Australia (Geoscience Australia) 2015. This product is released under the Creative Commons Attribution 4.0 International Licence. http://creativecommons.org/licenses/by/4.0/legalcode **Online resources:**

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 from January 2009 to 2022. **Data publication:** 2020-01-01 **Supplemental Information:** No data value: 255 Unit: class Map code : L3-LCC-D.KOG **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [WaPOR](mailto:wapor@fao.org) Resource Contact: [WaPOR](mailto:wapor@fao.org) **Data lineage:** A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

This dataset provides a spatial mask of Ethiopia rangelands, identifying areas dominated by grasslands, shrublands, and sparse vegetation that are primarily used for grazing and pastoral livelihoods. The rangeland mask for Ethiopia delineates regions where pastoralism and agro-pastoralism are prevalent, helping distinguish these land systems from croplands, forests, or urban areas. The dataset is derived from a combination of remote sensing data and land cover classifications, ensuring consistency across ecological zones-

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 from January 2009 to 2022. **Data publication:** 2020-01-01 **Supplemental Information:** No data value: 255 Unit: class Map code : L3-LCC-D.AWA **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [WaPOR](mailto:wapor@fao.org) Resource Contact: [WaPOR](mailto:wapor@fao.org) **Data lineage:** A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage