National Land Cover, Change and Degradation Status in Iraq (2000–2020)

Using GLCLU v2 land-cover data and the UNCCD SDG 15.3.1 methodology, this product describes Iraq’s land-cover composition in 2000 and 2020, quantifies transitions between classes, and classifies areas as degraded, improved, or stable. The accompanying maps, charts and statistics offer an authoritative baseline for national reporting and decision-making on land resources.

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Anbar

Anbar is Iraq’s largest governorate, with a total area of about 123,700 km². The governorate is dominated by arid and semi-arid environments, with cultivated land and permanent water bodies concentrated along the Euphrates River and around major reservoirs and oases. This profile summarizes land-cover conditions in 2000 and 2020, quantifies land-cover transitions over the 20-year period, and interprets land degradation status and types according to the UNCCD SDG 15.3.1 methodology. All statistics are derived from the GLCLU v2 (30 m) land-cover dataset, aggregated over the Anbar administrative boundary using the dedicated Iraq Land Degradation Mapping Tool.

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Thi Qar

This report summarizes land-cover conditions in ThiQar Governorate for 2000 and 2020, quantifies land-cover transitions over the 20-year period, and interprets land degradation status and types according to the UNCCD SDG 15.3.1 land-cover change framework. All statistics are derived from the GLCLU v2 (30 m) land-cover dataset aggregated to the ThiQar administrative boundary.

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Al Muthanna

This report summarizes land-cover conditions in Al Muthanna Governorate for 2000 and 2020, quantifies land-cover transitions over the 20-year period, and interprets land degradation status and types according to the UNCCD SDG 15.3.1 land-cover change framework. Statistics are derived from the GLCLU v2 (30 m) land-cover dataset aggregated to the Al Muthanna administrative boundary.

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LandCover for 2000

Raster map of land-cover classes in Iraq for the year 2000 derived from the GLCLU v2 dataset, showing spatial distribution of major land cover types (e.g., desert, grassland, cropland, wetlands, water, built-up). Includes a legend file detailing class codes and colors.

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LandCover for 2005

Raster map of land-cover classes in Iraq for the year 2005, based on the GLCLU v2 dataset. Represents major land cover categories across the country and supports analysis of land-cover status at five-year intervals. Includes associated legend.

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LandCover for 2010

Raster map showing the spatial distribution of land-cover classes in Iraq for 2010, produced from the GLCLU v2 dataset. Used to compare changes in land cover over time when paired with other year maps. (Legend included).

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LandCover for 2015

Raster land-cover classification for 2015 across Iraq from GLCLU v2 data. Captures the extent of vegetation, bare land, water, built-up and other classes as a baseline for change analysis. (Legend file attached).

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LandCover for 2020

Raster map of land cover in Iraq for the year 2020 derived from the GLCLU v2 dataset. Provides the most recent snapshot of national land-cover conditions and is used in degradation and change assessments. (Legend included).

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Landcover change (2000_2005)

Raster dataset showing pixel-level transitions in land cover between 2000 and 2005. Each pixel value indicates a specific change class (e.g., desert → cropland), following the GLCLU v2 classification scheme. Legend file included.

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Landcover change (2005_2010)

Raster depicting land-cover transitions from 2005 to 2010, highlighting areas that changed class over the period using standardized change codes. Legend provided.

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Landcover change (2010_2015)

Raster layer of land-cover class changes between 2010 and 2015 (GLCLU v2 based). Useful for understanding temporal dynamics in land cover across Iraq. Legend included.

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Landcover change (2015_2020)

Raster dataset showing changes in land-cover classes between 2015 and 2020, with values corresponding to specific class transitions. Includes legend.

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Landcover change (2000_2020)

Long-term land-cover change raster showing aggregated transitions over the 2000–2020 period. Highlights major conversions across two decades, facilitating trend analysis. Legend included.

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Degradation state (2000-2005)

Raster classifying land-degradation status over 2000–2005 according to UNCCD SDG 15.3.1 methodology. Pixel values indicate “No Change”, “Degraded”, “Improved”, or “No Data” based on land-cover transitions. Legend file attached.

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Degradation state (2005-2010)

Raster layer of land-degradation status between 2005 and 2010, using UNCCD compliant rules applied to GLCLU v2 transitions. Pixel values map to degradation categories. Legend included.

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Degradation state (2010-2015)

Map showing SDG 15.3.1 degradation status for 2010–2015. Each pixel indicates whether land remained stable, improved, degraded, or has no data. Legend file provided.

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Degradation state (2015-2020)

Raster representing land-degradation status for 2015–2020, classifying spatial units into degradation categories under UNCCD guidelines. Legend included.

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Degradation state (2000-2020)

Two-decade degradation status raster (2000–2020), classifying land into stable, degraded or improved states based on observed land-cover change patterns. Legend provided.

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Degradation type (2000-2005)

Raster layer showing specific types of degradation and improvement processes between 2000 and 2005 (e.g., desertification, cropland expansion, vegetation gain, wetland loss). Values follow a detailed process legend. Legend file included.

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Degradation type (2005-2010)

Raster depicting the dominant degradation and improvement processes over 2005–2010 using standardized process classes. Legend provided.

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Degradation type (2010-2015)

Map of degradation and improvement process types for 2010–2015, identifying spatial patterns of ecosystem change (e.g., desert greening vs. vegetation loss). Legend included.

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Degradation type (2015-2020)

Raster of detailed degradation/improvement categories for the 2015–2020 period, following UNCCD/GLCLU analytical framework. Legend attached.

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Degradation type (2000-2020)

Comprehensive raster of degradation and improvement types across the full 2000–2020 interval. Values classify specific change processes (desertification, urbanization, wetland loss, ecological restoration, etc.). Legend included.

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