The Agricultural Research e-Seeker (AReS) is a tool to discover, explore, and retrieve content from information and data repositories linked to CGIAR and its partners. It is designed to help make CGIAR knowledge findable, accessible, inter-operable and re-usable.
Source: http://cgspace.cgiar.org/
Global Information and Early Warning System on Food and Agriculture (GIEWS) monitors the condition of major foodcrops to assess production prospects. GIEWS utilizes remote sensing data that can provide a valuable insight on water availability and vegetation health during the cropping seasons. It provide maps and graphs at country level, depicting the latest 36-month period of the seasonal, vegetation and precipitation indicators. and presenting data by dekad and month.
Source: http://www.fao.org
SoilGrids is a system for global digital soil mapping that uses state-of-the- art machine learning methods to map the spatial distribution of soil properties across the globe. SoilGrids prediction models are fitted using over 230 000 soil profile observations from the WoSIS database and a series of environmental covariates.
Source: https://soilgrids.org/
Google Earth is a computer program that renders a 3D representation of Earth based primarily on satellite imagery. The program maps the Earth by superimposing satellite images, aerial photography, and GIS data onto a 3D globe, allowing users to see cities and landscapes from various angle.
Source: https://www.google.com/earth/
The food system is all of the people and activities that play a part in growing, transporting, supplying, and, ultimately, eating food. These processes also involve elements that often go unseen, such as food preferences and resource investments.
G-REALM provides time-series of water level variations for some of the world’s largest lakes and reservoirs. Currently, lakes ≥ 100km2 are included but future project phases will aim to include those in the 50-100km2 size range.
Source: USDA/FAS/OGA
GEOGloWS helps to organize the international community engaged in the hydrologic sciences, observations, and their application to forecasting and provides a forum for government-to-government collaboration, and engagement with the academic and private sectors to achieve the delivery of actionable water information
Source: GEOGloWS
The app is based on data from NASA’s Global Land Data Assimilation System (GLDAS-2.1), which uses weather observations like temperature, humidity, and rainfall to run the Noah land surface model. This model estimates how much of the rain becomes runoff, how much evaporates, and how much infiltrates into the soil. These output variables, calculated every three hours, are aggregated into monthly averages, giving us a record of the hydrologic cycle going all the way back to January 2000.
The tool shows the daily SWE estimates in millimeters (mm) based on the Advanced Microwave Scanning Radiometer-E/Advanced Microwave Scanning Radiometer-2 (AMSR-E/AMSR2)
Source: NASA Worldview
Earth Map is an innovative, free and open-source tool developed by the FAO. It was created to support countries, research institutes, farmers and members of the genral public with internet access to monitor their land in an easy, integrated and multi- temporal manner. It provides satellite imagery and global datasets on climate, vegetation, fires, biodiversity, geo-social and other topics. Users need no prior knowledge of remote sensing or Geographical Information Systems (GIS).
Source: https://earthmap.org/
