satellite data

This guide explains foundational concepts of machine learning and how financial services providers can apply those methods to leverage information contained in satellite images for the purpose of credit scoring for smallholder finance. »

Smallholder farmers in Uganda are increasingly vulnerable to risks associated with changing weather patterns. The SUM-Africa project, supported by the G4AW program of Netherlands Space Office (NSO), provides satellite based drought index insurance to protect these smallholders. This week the Ugandan Agro Insurance Consortium (AIC) and the Dutch company EARS) signed a long-term contract to continue the delivery of this service. »

This case study offers insight into the method behind how FinTechs integrated earth observation technology (satellite imagery) into their financial servies. Despite challenges, initial testing with satellite imagery has been positive. »

This blog is on precision agriculture, in which micro-level data on e.g. stress, moisture and the presence of pests, is gathered by drones or satellites and used to enhance decision making on the farm. Results of a pilot study demonstrated the potential real-world impact of the the precision farming model. »

This article demonstrates the potential to track smallholder maize yield variation in western Kenya, using a combination of 1-m imagery and intensive field sampling on thousands of fields over 2 years. The emergence of satellite sensors that can routinely observe millions of individual smallholder farms raises possibilities for monitoring and understanding agricultural productivity in many regions of the world. »

Last Friday March 17, 2017 the third Call of the Geodata for Agriculture and Water (G4AW) Facility was officially published in the Government Gazette. The G4AW Facility stimulates public-private partnerships and is supporting initiatives to set up large-scale, demand-driven, and user-tailored satellite-based service chains. »