GEOGLAM service
Open, timely, and science-driven information on crop conditions in support of market ransparency and early warning of production shortfalls.
Agriculture; Farming
Opis produktu
GEOGLAM improves the current agricultural monitoring with operational processing and data analysis.
Korzyści
Benefits description
- National food security programs require timely accurate information on emerging threats
- Co-developed monitoring systems, operated by governments are the best avenue to turn information into decisions that have impact
- The information produced by ministries is trusted, deemed authoritative, and created close to the decision makers
- The monitoring information can be quickly used to respond to food security challenges
- Overall, national monitoring systems provide better information faster, in a setting where saving days and weeks can save thousands from hardship
Model płatności
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Cena od
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Miejsce obsługi
Service place description
52.24427765,21.07680393771424
Porównanie usług
usługi
powiązana zawartość
WatchITgrow 
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With AutoMap, the handling of satellite images has never been easier! We simplify the production of maps based on earth observation data and handle the application of machine learning algorithms for land surface classifications by providing a solid data processing pipeline in a fully managed cloud infrastructure. Bring your own samples or use our default solution, while we take care of the thousands of images that fit your request, all the clouds in your area of interest and every aspect of process optimization and secure data storage. Don't worry about machine learning concepts, intelligent training data collection, hyperparameter optimization or informative feature spaces - That's our job as well! Seeing the world from above is now as demanding as ordering a pizza!
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Mutation Signalling on agriculture parcels in the Netherlands 
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NEO signals changes to agriculture parcels. Monitoring, based on satellite imagery in combination with artificial intelligence, aims to detect changes in the boundaries of the parcels. The service saves time and money because, based on the mutation signalling, parcels can be looked at more specifically to determine the new parcel boundaries. This supports the process of keeping the national LPIS (Land Parcel Identification System) registry up to date. The service that NEO provides is unique: it is the first time that mutation signalling based on earth observation is performed automatically on this scale. In this way the 500.000 parcels in the Netherlands are monitored. Open data from the national satellite data portal in the Netherlands is used.
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Dodany
