Storia di successo

GEOGLAM

Agriculture; Land use

Profilo

26 gen 2022

Demonstrating the European capacity in operational processing and (heterogeneous) data analysis upscaling and improvement of the current agricultural monitoring information products. Showcasing Copernicus data sets combined with the necessary in-situ, meteo and soil data (collected based on existing networks; expert regional assessment, and through citizen sourced streams).

Proposta

Building on existing operational tools and modifying them to meet the specific user needs of the GEOGLAM community. Integrating the above mentioned datasets with the Copernicus DIAS storage and processing power. This will allow the monitoring of several essential climate variables (e.g. LAI) and the development of agricultural metrics that are more quantitative and look beyond the current growing season as requested by the GEOGLAM community represented by the GEOGLAM secretariat.

Benefici

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

Servizio su eoMall

Confronta Prodotti

0 prodotti aggiunti

Confrontare

Confronto dei servizi

addizionale

Servizi

Contenuto relativo

WatchITgrow

Agriculture, Land use, Farming

WatchITgrow is an online platform to support growers to monitor arable crops and vegetables in view of increasing yields, both qualitatively and quantitatively. WatchITgrow uses various types of data starting with satellite data combined with e.g. weather data, soil data, IoT data and field data provided by the grower. These data will be combined using new technologies such as big data analytics and machine learning to provide growers with more timely and personalized advice.

aggiunto

aggiunto

GEOGLAM service

Agriculture, Farming

GEOGLAM improves the current agricultural monitoring with operational processing and data analysis.

aggiunto

Land and Land Cover Analysis

Agriculture, Infrastructure, Land Ecosystems, Land use, Farming, Insurance & Finance, Local and regional planners

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!

aggiunto

aggiunto

Mutation Signalling on agriculture parcels in the Netherlands

Agriculture, crop acreage, Monitor crops, crop types extent, Land use, Assess land value, ownership, type, use, Measure land use statistics, Agricultural commodities, Agriculture and rural development policy, Farming, Real-estate management, Local and regional planners, City authorities, Planners, Regional governments, Town authorities, Agriculture and rural policy makers

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.

aggiunto