Aims and Objectives
The project aims to produce detailed resource maps using LiDAR for various applications such as production of high value crops, irrigation assessment, aquaculture production, forest/watershed protection and discovery of renewable energy sources.
Specifically, it aims to:
a) select and improve existing algorithms and workflows for extracting agricultural features from LiDAR data and various types of remotely sensed data;
b) characterize feature extracted from LiDAR data and various types of remotely sensed data;
c) produce detailed and high-accuracy nationwide resource maps to determine spatial distribution of major resources using RS/GIS;
d) produce vulnerability assessment maps of high-value crops and aquatic resources to climate change;
e) formulate recommendations to help address future local supply and demand in agriculture, coastal, forest and renewable energy resources.