Tools

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.

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

The iCLUE simulation model allocates land use based on areal land use demands. Allocation takes place based on: (1) land use suitability (e.g. no agriculture on steep slopes with dry unfertile soils), (2) conversion rules (e.g. ‘urban cannot change into pasture’, or ‘new production forest can only be harvested after 20 years and turned into fallow land’), (3) neighbouring land use (e.g. built-up area is likely to expand next to existing built-up area) and (4) the areal demand for specific land use types (e.g. 250 hectares of agriculture in my study area in 2030).

The GODAN Action evaluation framework assists evaluators in designing an evaluation. It provides guidelines and good practices for designing and performing evaluations, in different stages of a project which uses open data . No one solution exists for evaluation, as each project has its own aim and character, and evaluation objectives. The GODAN Action evaluation framework provides an agile method that can be tailored to the specific situation.