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Africa

GEOGLAM's Crop Monitor for Early Warning highlighted for African Crop Forecasting.

GEOGLAM has been highlighted recently in three recent articles on crop production and condition in countries of Sub-Saharan Africa including Kenya, Zambia, Zimbabwe, and South Africa. A Special Alert from the Food and Nutrition Security Working Group highlights the Crop Monitor for Early Warning's Southern Africa Maize Map for February 2018. The 2017/2018 Food Security Early Warning System - Agromet Update issue marked the Crop Monitor expectations for winter wheat harvests in Zambia, Zimbabwe and parts of South Africa. A new article from Standard Digital - Kenya, "Food prices soar as pockets run empty" highlights the February edition of the Crop Monitor for Early Warning. These articles emphasize the use of GEOGLAM's crop monitors for AMIS and Early Warning in providing useful information for markets and farmers.

Copernicus

How Copernicus Is Paving The Way For The Future Of The CAP And Farming 2.0

Aug 12, 2017

The Common Agricultural Policy (CAP) is one of the most complex policies of the European Union and one of the biggest items in the EU budget. Because of that, the CAP received a lot of criticism over the years that led to many reforms. Now the CAP is entering an entirely new stage enabled by the EU’s Copernicus,  programme, its own constellation of Earth Observation satellites and its dedicated Services. (65 kB)

Sentinel

EOFSAC Partner Presents At Pecora

Dr. Nathan Torbick, Senior Research Scientist at Applied Geosolutions, an important EOFSAC partner, presented this week at the Pecora 20 Symposium in Sioux Falls, South Dakota, on Fusing Sentinel-1 with Harmonized Landsat-8 Sentinel-2 for Crop Mapping. Along with his colleagues Drs. Xiaodong Huang, Beth Ziniti, Ian Cooke,  and Rob Braswell, as well as Dr. Dave Johnson of USDA NASS, he concluded that the Harmonized Landsat-8 Sentinel 2 product performed very well for the purpose of crop mapping, with Sentinel-1 helpful and complimentary but possibly more suited for attribute data.