Abstract: The present disclosure provides computer-implemented systems, platforms and methods that support decisions related to investments in infrastructure and other assets intended to promote economic development. A geographical region is selected. Historical observations taken over a predefined timeframe associated with image and survey data for the geographical region are received. The historical observations are stored. A first categorical model is generated. The first categorical model has a first geospatial dataset related to one of economic, agricultural and infrastructure information based on the historical observations. A navigation map is generated that displays the first categorical model across the geographical region. An existing market summary is generated that reflects first statistics related to existing markets. A proposed market summary is generated that reflects second statistics related to proposed future markets in regions of interest.

Abstract: A method of operation of a computer system includes: selecting a geographic region; receiving a historical observation for the geographic region and the historical observation including a sparse observation at a past middle season; generating a climatology curve with the historical observation; and generating a crop yield forecast for the geographic region for a current middle season based on the climatology curve.

Abstract: Systems and methods for generating a crop yield estimate for an area as small as an individual field from images captured by a satellite are disclosed. The system generates simulations of crop yields in a region that includes the area by applying combinations of different parameters to a crop yield models. Observable quantities for simulated yields are determined from the simulations. The simulations and the observable properties are used to train a statistic model for the region that has two or more variables. Images captured by a satellite that include at least a portion of the area are obtained. Crop information is then determined from the images and weather information associated with the dates that the images where captured is obtained. The statistical model is then applied to the crop information and the weather information to determine a crop yield estimate.

Abstract: Systems and methods for generating a crop yield estimate for an area as small as an individual field from images captured by a satellite are disclosed. The system generates simulations of crop yields in a region that includes the area by applying combinations of different parameters to a crop yield models. Observable quantities for simulated yields are determined from the simulations. The simulations and the observable properties are used to train a statistic model for the region that has two or more variables. Images captured by a satellite that include at least a portion of the area are obtained. Crop information is then determined from the images and weather information associated with the dates that the images where captured is obtained. The statistical model is then applied to the crop information and the weather information to determine a crop yield estimate.