Volume XLI-B6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 105-109, 2016
https://doi.org/10.5194/isprs-archives-XLI-B6-105-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 105-109, 2016
https://doi.org/10.5194/isprs-archives-XLI-B6-105-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  17 Jun 2016

17 Jun 2016

NATIONWIDE NATURAL RESOURCE INVENTORY OF THE PHILIPPINES USING LIDAR: STRATEGIES, PROGRESS, AND CHALLENGES

A. C. Blanco1, A. Tamondong1, A. M. Perez1, M. R. C. Ang1, E. Paringit1, R. Alberto2, N. Alibuyog3, D. Aquino4, A. Ballado5, P. Garcia6, M. Japitana7, M. T. Ignacio8, D. Macandog9, A. Novero10, R. E. Otadoy11, E. Regis12, M. Rodriguez13, J. Silapan14, and R. Villar15 A. C. Blanco et al.
  • 1Dept. of Geodetic Engineering, Training Center for Applied Geodesy and Photogrammetry, University of the Philippines, Diliman, Quezon City, Philippines
  • 2Central Luzon State University
  • 3Mariano Marcos State University
  • 4Isabela State University
  • 5Mapua Institute of Technology
  • 6Visayas State University
  • 7Caraga State University
  • 8Mindanao State University – Iligan Institute of Technology
  • 9University of the Philippines Los Banos
  • 10University of the Philippines Mindanao
  • 11University of San Carlos
  • 12Ateneo de Naga University
  • 13Ateneo de Zamboanga University
  • 14University of the Philippines Cebu
  • 15Central Mindanao University

Keywords: LiDAR, natural resources, agricultural, forest, coastal, hydrological, renewable energy

Abstract. The Philippines has embarked on a detailed nationwide natural resource inventory using LiDAR through the Phil-LiDAR 2 Program. This 3-year program has developed and has been implementing mapping methodologies and protocols to produce high-resolution maps of agricultural, forest, coastal marine, hydrological features, and renewable energy resources. The Program has adopted strategies on system and process development, capacity building and enhancement, and expanding the network of collaborations. These strategies include training programs (on point cloud and image processing, GIS, and field surveys), workshops, forums, and colloquiums (program-wide, cluster-based, and project-based), and collaboration with partner national government agencies and other organizations. In place is a cycle of training, implementation, and feedback in order to continually improve the system and processes. To date, the Program has achieved progress in the development of workflows and in rolling out products such as resource maps and GIS data layers, which are indispensable in planning and decision-making. Challenges remains in speeding up output production (including quality checks) and in ensuring sustainability considering the short duration of the program. Enhancements in the workflows and protocols have been incorporated to address data quality and data availability issues. More trainings have been conducted for project staff hired to address human resource gaps. Collaborative arrangements with more partners are being established. To attain sustainability, the Program is developing and instituting a system of training, data updating and sharing, information utilization, and feedback. This requires collaboration and cooperation of the government agencies, LGUs, universities, other organizations, and the communities.