Disclaimer: The data displayed on the Land Portal is provided by third parties indicated as the data source or as the data provider. The Land Portal team is constantly working to ensure the highest possible standard of data quality and accuracy, yet the data is by its nature approximate and will contain some inaccuracies. The data may contain errors introduced by the data provider(s) and/or by the Land Portal team. In addition, this page allows you to compare data from different sources, but not all indicators are necessarily statistically comparable. The Land Portal Foundation (A) expressly disclaims the accuracy, adequacy, or completeness of any data and (B) shall not be liable for any errors, omissions or other defects in, delays or interruptions in such data, or for any actions taken in reliance thereon. Neither the Land Portal Foundation nor any of its data providers will be liable for any damages relating to your use of the data provided herein.


Indicators Year Value Unit Dataset Source Remove

Loading data ...

Compare countries


Loading data ...


Land Governance Assessment Framework (LGAF)

Please, select year and panels to show the info.

    • Very Good Practice
    • Good Practice
    • Weak Practice
    • Very Weak Practice
    • Missing Value

    Voluntary Guidelines on the Responsible Governance of Tenure

    Legend: National laws adoption of the VGGT principle
    • Fully adopt
    • Partially adopt
    • Not adopted
    • Missing Value

    Note: The Voluntary Guidelines on the Responsible Governance of Tenure of Land, Fisheries, and Forests in the Context of National Food Security (The VGGTs) were endorsed by the Committee on World Food Security in 2012.

    The "VGGT indicators" dataset has been created by Nicholas K. Tagliarino, PhD Candidate at the University of Groningen, with support from Daniel Babare and Myat Noe (LLB Students, University of Groningen). The indicators assess national laws in 50 countries across Asia, Africa, and Latin America against international standards on expropriation, compensation, and resettlement as established by Section 16 of the VGGTs.

    Each indicator relates to a principle established in section 16 of the VGGTs. Hold the mouse against the small "i" button above for a more detailed explanation of the indicator.

    Answering the questions posed by these indicators entails analyzing a broad range of national-level laws, including national constitutions, land acquisition acts, land acts, community land acts, agricultural land acts, land use regulations, and some court decisions.



    Displaying 1 - 4 of 4
    Journal Articles & Books
    December 2013

    This article reviews the level of current scientific understanding regarding the impact of future change in the large-scale climate-earth system on ecosystem services. Impacts from sea level rise, ocean acidification, increases in ocean temperature, potential collapse of the thermohaline circulation; failure of the South Asia monsoon; the melting of sea ice, the Greenland Ice Sheet and the West Antarctic Ice Sheet; changes in water availability; and Amazonia forest dieback, are considered.

    Journal Articles & Books
    December 2013

    We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have classified over 6600 scenes of Landsat TM data after 2006, and over 2300 scenes of Landsat TM and ETM+ data before 2006, all selected from the green season. These images cover most of the world's land surface except Antarctica and Greenland. Most of these images came from the United States Geological Survey in level L1T (orthorectified).

    Journal Articles & Books
    December 2011

    In this study, a terrain classification algorithm is presented that was derived from various properties of the returned full waveform signals collected from the Ice, Cloud and land elevation Satellite (ICESat) mission. Such an algorithm would be beneficial for current and future studies of the cryosphere, particularly Greenland and Antarctica, by helping to identify changes in the large scale surface properties over time. The algorithm developed was validated over a test region in the Dry Valleys of Antarctica, where the terrain is well known and regularly monitored.