Three-Dimensional Mapping of Habitats Using Remote-Sensing Data and Machine-Learning Algorithms

Progress toward habitat protection goals can effectively be performed using satellite imagery and machine-learning (ML) models at various spatial and temporal scales. In this regard, habitat types and landscape structures can be discriminated against using remote-sensing (RS) datasets. However, most existing research in three-dimensional (3D)...

Remote sensing en landmeetkunde

Working with Remote Sensing data can be generalized into four categories: - registration - processing - interpretation - presentation. A short overview of these four categories will be given. Emphasis will be put on the Dutch airborne multichannel pushbroom scanner CAESAR showing specific geodetic points of interest in working with Remote...