A5069272172- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Species Distribution and Climate Change
- Advanced Image Fusion Techniques
- Remote Sensing and LiDAR Applications
University of Warsaw
2019
Accurately identifying Natura 2000 habitat areas with the support of remote sensing techniques is becoming increasingly feasible. Various data types and methods are used for this purpose, fusion from various sensors temporal periods (terms) within phenological cycle allows natural habitats to be precisely identified. This research was aimed at selecting optimal datasets classify three grassland (codes 6210, 6410 6510) in Ostoja Nidziańska site Poland based on hyperspectral imagery botanical...
Abstract. Time series (TS) analysis has always been an important topic in Remote Sensing (RS). Open access to archives of Earth Observation missions, periodically acquired nation-wide aerial imagery and LiDAR point clouds, various research datasets, together with open tools for TS data processing, have brought new possibilities RS but also challenges education. The become essential part MSc curricula geoinformatics, geography, related fields. learning materials systematically addressing the...