Tools

AgERA5 - global weather data set tailored for agriculture

Global historical and near real-time weather information, such as basic hourly ERA5, is provided by the European Copernicus programme. AgERA5 makes the ERA5 data available to users in the agricultural domain. It includes agro-meteorological variables such as daily mean, minimum and maximum temperature, precipitation, humidity and incoming solar radiation. All land areas are covered at a spatial resolution of 10 by 10 km from 1979 until now.

Larch - assessing fragmentation and spatial cohesion of habitats

LARCH is an ecological model to assess the sustainability of ecological networks for species. Well-functioning ecological habitat networks are the basis for the conservation of protected (plants and/or animals) species. Suitability for local populations  is determined using species-specific area requirements. LARCH calculates a measure for spatial cohesion that is used to estimate the sustainability of ecological networks  and to evaluate the connections between scattered  habitat areas. Implementation of barrier effects (e.g.

Drones - monitoring agriculture and nature

Drones are unmanned airborne vehicles (UAVs) that are able to collect spatial information by flying over a specific area. The spatial information obtained is determined by the type of camera, which can be multi-spectral, hyperspectral, thermal or 3D Laser scanning. This implies that within a very short period of time very detailed spatial information can be collected, which can be easily used to answer questions of the end-users as the examples above.

AgroDataCube – Open, big data for Dutch Agriculture

Many agricultural and environmental applications and assessments require information at the agricultural parcel level on soils, climate, crop growth, elevation, and crop rotation. The AgroDataCube is a Big & Open data platform that brings together and publishes all these different datatypes, harmonized to the level of agricultural parcels. As a user you don’t have to deal with all the challenging tasks in data alignment and linking. The AgroDataCube solves the following common problems in data usage: 1. While a lot of data is available, it is fragmented and scattered, and often there ar