 As a result of the unprecedented increase in land pressures and the unsustainable use of natural resources as a whole, the need for up-to-date, credible information and data on the current and future state of agricultural resources and their productivity is critical. For governments and for those who use land, it is of utmost importance to preserve land resources through their rational and sustainable use for the benefit of present and future populations. Issues related to the sustainable management of natural resources, food security and the fight against poverty are integral parts of the 2030 agenda for sustainable development, as reflected in STG's 1, 2 and 15. FAO encourages the integrated management of natural resources in cooperation with various actors. Over the past three decades, FAO and the ASA have cooperated to develop and apply the agroecological zoning methodology and databases. The ASA framework is a successful approach used in land evaluation to support sustainable agricultural development by providing information about current and future agricultural production risks and opportunities, climate change impacts and possible adaptation options. Such information can facilitate planning decisions and induce choices that, while being more productive, are also sustainable and resilient to climate change and variability. In 2021, FAO and IIASA are launching version 4 of the Global Agroecological Zerming Platform, which represents the backbone of various applications, including quantifying potential land productivity at the global level. This fourth version of GAIAs benefits from considerable advances in geospatial information and communication technology and utilises remote sensing, climatology and artificial intelligence. The GAIAs platform provides global, regional and national information that can be disaggregated at the local level to support better agricultural planning, land and water resources, food security and development, while taking on the major environmental challenges related to climate change, biodiversity loss and land degradation. FAO also engages various partners, such as the International Institute for Applied Systems Analysis, the Asian Institute of Technology, ESRI, Research and Universities in the use of the latest technological developments, methods and data. In doing so, FAO strengthens its partnerships and collaboration towards better management of agricultural resources and global food security. The Global AEZ is of particular interest also to national organisations dealing with aspects of agriculture, land and water resources, food security, agricultural development and policies, or with climate variability and climate change. For example, in Afghanistan, FAO supports Afghan institutions to assess agricultural production, develop a geospatial platform and obtain agricultural statistics. The GAIAs methodology allows for the determination of achievable yields under current and future conditions and also the creation of development scenarios for adaptation and climate change mitigation. In Laos, FAO is strengthening agroclimactic monitoring, analysis, communication and use of data and information for decision-making in agriculture and food security. Agroecological zoning acts in support to agroclimactic monitoring and anticipatory land use and land policies. We prepare comparative images of the present and future Global AEZ maps for crops such as coffee, mice, cassava, rice and so on. Then the training consists of developing policy narratives for crop production development strategies from today to the future. We have the image of the Global Map for Laos as a point of reference from the beginning. We can see that the National Map is similar to the Global Map and makes me confident to continue working with other crops. In Angola, FAO supports reversing land degradation on the Central Angolan Plateau by developing a robust statistical and geospatial base of agricultural development potentials in support of sustainable land management plans and food security. AEZ in Angola is fundamental in our view to the welfare of our communities. It will allow us to deepen our understanding of conditions at the local level as well as allow for the most efficient planning of the use of the resources that are widely available to the communities but in a way that is coordinated to help us to maximize the use of those resources. Information technologies are evolving rapidly and data transfer and analysis applications offer new opportunities whether to improve the quality of information or the engagement of various actors in the development and evaluation of the agricultural and natural resources sectors.