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A FRAMEWORK FOR CAPACITY BUILDING IN MAPPING COASTAL RESOURCES USING REMOTE SENSING IN THE PHILIPPINES

文献类型: 会议论文

第一作者: A. Tamondong

作者: A. Tamondong 1 ; C. Cruz 2 ; T. Ticman 2 ; R. Peralta 2 ; G. A. Go 2 ; M. Vergara 2 ; M. S. Estabillo 2 ; I. E. Cadalzo 2 ; R. Jalbuena 2 ; A. Blanco 1 ;

作者机构: 1.Environmental Systems Applications of Geomatics Engineering (EnviSAGE) Research Laboratory, Department of Geodetic Engineering, University of the Philippines, Diliman, Quezon City 1101, Philippines

2.Phil-LiDAR2, Training Center for Applied Geodesy and Photogrammetry, Department of Geodetic Engineering, University of the Philippines, Diliman, Quezon City 1101, Philippines

关键词: Coastal Resources Mapping;LiDAR;Remote Sensing;Capacity Building;Philippines

会议名称: ISPRS Congress

主办单位:

页码: 149-154

摘要: Remote sensing has been an effective technology in mapping natural resources by reducing the costs and field data gathering time and bringing in timely information. With the launch of several earth observation satellites, an increase in the availability of satellite imageries provides an immense selection of data for the users. The Philippines has recently embarked in a program which will enable the gathering of LiDAR data in the whole country. The capacity of the Philippines to take advantage of these advancements and opportunities is lacking. There is a need to transfer the knowledge of remote sensing technology to other institutions to better utilize the available data. Being an archipelagic country with approximately 36,000 kilometers of coastline, and most of its people depending on its coastal resources, remote sensing is an optimal choice in mapping such resources. A project involving fifteen (15) state universities and colleges and higher education institutions all over the country headed by the University of the Philippines Training Center for Applied Geodesy and Photogrammetry and funded by the Department of Science and Technology was formed to carry out the task of capacity building in mapping the country's coastal resources using LiDAR and other remotely sensed datasets. This paper discusses the accomplishments and the future activities of the project.

分类号: TP7-53

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