A group of experts in Philippine Agriculture Resources Mapping (PARMap) from the LiDAR team of University of the Philippines-Diliman (UPD) organized a three-day mentoring session to train MMSU-Phil-LiDAR 2 project team in processing LiDAR data on agricultural vegetations and resources using ENVI and ArcGIS programs.
The three-day activity include lectures and exercises in remote sensing, image pre-processing, enhancement, interpretation, transformation, and classification; Landsat Image Classification – supervised and unsupervised; feature extraction from LiDAR data using Support Machine Accuracy Assessment; visualization and interpretation of LiDAR data; and introduction to Object-Based Image Analysis (OBIA).
Held at MMSU Hostel last October 27-30, 2014, the mentoring was facilitated by the PARMap experts from UPD composed of Engr. Mylene Jerez, Engr. Eric Luis Tanada, and Mr. Judd Eduardo Guerrero.
The participants were given hands-on exercises, and presented their outputs for evaluation.
Outputs of the Phil-LiDAR 2 Project will provide more reliable information for decision-making regarding crop vegetation. This will also offer new windows of opportunity for future research and development related with crops.
