Phil-LiDAR [Philippines-Light Detection and Ranging] 2. nationwide detailed resources assessment using LiDAR: Program B. LiDar processing, modeling, and validation for nationwide resources assessment:Project 4. LiDAR data processing, modeling and validation of HEIs for the detailed resources assessment in Luzon: MIMAROPA [Mindoro, Marinduque, Romblon, Palawan] and Laguna (Region IV) [Philippines]

With the massive destructions caused by frequent disaster occurrences in the Philippines. It is evident to design measures in mitigating such extremities. Hence, the Department of Science and Technology Grants-In-Aid (DOST-GIA) sought to answer the call to action through the use of Light Detection and Ranging (LiDAR) technology. It is an emerging remote sensing tool which is capable of providing spatial data and information hazard assessments, disaster risk management, flood modeling, urban development and site assessments. In the light, the project entitled 'Project 4. LiDAR Data Processing, Modeling, and Validation by HEIs for Detailed Resources Assessment in Luzon: MIMAROPA [Mindora, Marinduque, Romblon, Palawan] and Laguna (Region IV) [Philippines] under program 'Phil-LiDAR 2. Nationwide DEtailed Resources Assessing using LiDAR-Program B. LiDAR Data Processing and Validation by SUCs and HEIs' was implemented to generally produce detailed resource maps using LiDAR derived data for Agriculture, Coast, Forest, Renewable energy, and Hydrology components. Specifically, it aimed to (a)automate feature extraction from LiDAR data and various types of remotely-sensed data; (b)produce high resolution maps for high value crops (HVCs), renewable energy sources, irrigation and hydrology, coastal resources and forest resources; (c)assesses vulnerability of HVCs and aquatic resources to climate change; and (d)formulate recommendations on the inventory and vulnerability assessment of the above said resources. Generally, the project follows scientific framework developed by the University of the Philippines Diliman Field validation of LiDAR measurement was done to assess its quality and validity. Then validated LiDAR data were processed and used as input for mapping and assessment of resources. The project's outputs included validated accuracy for LiDAR collected data; algorithm that delineates, extracts and quantifies objects to detect high value crops (HVCs) and coastal resource features from LiDAR data sets and/or orthrophotos, features salient to HVC and aquatic production, detailed resorce maps for MIMAROPA region and Laguna, vulnerability assessment maps of HVC and aquatic resources to climate change, and scientific papers published and presented in local and international conferences.