Open AccessRS-BASED WATER RESOURCES INVENTORY OF THE PHILIPPINES: CAPACITY BUILDING EFFORTS FOR NATIONWIDE IMPLEMENTATION
Author(s) -
A. M. C. Perez,
R. M. De La Cruz,
N. T. Olfindo,
N. J. B. Borlongan,
M. M. Felicen,
A. C. Blanco
Publication year - 2016
Publication title -
the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 71
eISSN - 1682-1777
pISSN - 1682-1750
DOI - 10.5194/isprsarchives-xli-b6-139-2016
Subject(s) - government (linguistics) , environmental resource management , resource (disambiguation) , capacity building , environmental planning , water resources , lidar , workflow , business , environmental science , geography , computer science , remote sensing , political science , database , computer network , ecology , philosophy , linguistics , law , biology
Considering that the Philippines is archipelagic in nature and is exposed to disasters accentuated by climate change, water resource monitoring and management has been an important concern in the country. The design and implementation of an effective management scheme relies heavily on accurate, complete, and updated water resource inventories, usually in the form of maps and geodatabases. With the aim of developing a detailed and comprehensive database of all water resources in the Philippines, a 3-year project entitled “Development of the Philippine Hydrologic Dataset (PHD) for Watersheds from LiDAR Surveys”, has been initiated by the University of the Philippines Diliman (UPD) and the Department of Science and Technology (DOST). Various workflows has been developed to extract inland hydrologic features in the Philippines using accurate Light Detection and Ranging (LiDAR) Digital Terrain Models (DTMs) and LiDAR point cloud data obtained through other government-funded programs, supplemented with other remotely-sensed imageries and ancillary information. Since the project covers national-scale mapping and inventory, the implementation was structured to be a collaborative effort between fifteen (15) State Universities/Colleges (SUCs) and Higher Education Institutes (HEIs), along with multiple National Government Agencies (NGAs) and Local Government Units (LGUs). This paper presents the project’s general structure, focusing mainly on its attempts and accomplishments in strengthening individual capacities of all involved SUCs, HEIs, and stakeholders utilizing hydrologic data for different applications.