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The Philippines embarked on a nationwide mapping endeavour through the Disaster Risk and Exposure Assessment for Mitigation(DREAM) Program of the University of the Philippines and the Department of Science and Technology (DOST). The derivedaccurate digital terrain models (DTMs) are used in flood models to generate risk maps and early warning system. With theavailability of LiDAR data sets, the Phil-LiDAR 2 program was conceptualized as complementary to existing programs of variousnational government agencies and to assist local government units. Phil-LiDAR 2 aims to provide an updated natural resourceinventory as detailed as possible using LiDAR point clouds, LiDAR derivative products, orthoimages and other RS data. Theprogram assesses the following natural resources over a period of three years from July 2014: agricultural, forest, coastal, water, andrenewable energy. To date, methodologies for extracting features from LiDAR data sets have been developed. The methodologies arebased on a combination of object-based image analysis, pixel-based image analysis, optimization of feature selection and parametervalues, and field surveys. One of the features of the Phil-LiDAR 2 program is the involvement of fifteen (15) universities throughoutthe country. Most of these do not have prior experience in remote sensing and mapping. With such, the program has embarked on amassive training and mentoring program. The program is producing more than 200 young RS specialists who are protecting theenvironment through RS and other geospatial technologies. This paper presents the program, the methodologies so far developed,and the sample outputs

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

THE PHIL-LIDAR 2 PROGRAM: NATIONAL RESOURCE INVENTORY OF THE PHILIPPINES USING LIDAR AND OTHER REMOTELY SENSED DATA