搜索结果: 1-15 共查到“PHILIPPINES”相关记录90条 . 查询时间(0.12 秒)
US small modular reactor (SMR) developer NuScale Power is interested in investing in the Philippines, the country's President Ferdinand "Bongbong" Marcos said during a five-day visit to the USA. He sa...
FORECASTING AND MONITORING AGRICULTURAL DROUGHT IN THE PHILIPPINES
Remote Sensing Applications Agriculture Drought Natural Hazards Philippines
2016/12/1
A monitoring and forecasting sytem is developed to assess the extent and severity of agricultural droughts in the Philippines at various spacial scales and across different time periods. Using Earth o...
VULNERABILITY ASSESSMENT USING LIDAR DATA IN SILANG-STA.ROSA SUBWATERSHED,PHILIPPINES
LiDAR DEM unsteady flow analysis disaster and risk adaptation and mitigation watershed management
2016/12/1
Silang-Sta. Rosa Subwatershed is experiencing rapid urbanization. Its downstream area is already urbanized and the development is moving fast upstream. With the rapid land conversion of pervious to im...
AN OBJECT-BASED WORKFLOW DEVELOPED TO EXTRACT AQUACULTURE PONDS FROM AIRBORNE LIDAR DATA:A TEST CASE IN CENTRAL VISAYAS,PHILIPPINES
Object-Based Image Analysis (OBIA) multiresolution segmentation coastal land use fishpond
2016/12/1
Traditional remote sensing approach for mapping aquaculture ponds typically involves the use of aerial photography and high resolution images. The current study demonstrates the use of object-based im...
NON-TRIVIAL FEATURE DERIVATION FOR INTENSIFYING FEATURE DETECTION USING LIDAR DATASETS THROUGH ALLOMETRIC AGGREGATION DATA ANALYSIS APPLYING DIFFUSED HIERARCHICAL CLUSTERING FOR DISCRIMINATING AGRICULTURAL LAND COVER IN PORTIONS OF NORTHERN MINDANAO,PHILIPPINES
Image classification OBIA LiDAR Allometric relations Non-trivial feature derivations Euclidean transformation
2016/12/1
Leaning on the derived results conducted by Central Mindanao University Phil-LiDAR 2.B.11 Image Processing Component, the paper attempts to provides the application of the Light Detection and Ranging ...
ESTIMATING DBH OF TREES EMPLOYING MULTIPLE LINEAR REGRESSION OF THE BEST LIDAR-DERIVED PARAMETER COMBINATION AUTOMATED IN PYTHON IN A NATURAL BROADLEAF FOREST IN THE PHILIPPINES
DBH Estimation ALS Multiple Linear Regression Python Broadleaf Forest Forestry
2016/11/30
Diameter-at-Breast-Height Estimation is a prerequisite in various allometric equations estimating important forestry indices like stem volume, basal area, biomass and carbon stock. LiDAR Technology ha...
TREE CANOPY COVER MAPPING USING LiDAR IN URBAN BARANGAYS OF CEBU CITY,CENTRAL PHILIPPINES
Object-Based Image Analysis LAStools CHM NDSM multi-threshold segmentation urban forest management urban planning
2016/11/30
This paper investigates tree canopy cover mapping of urban barangays (smallest administrative division in the Philippines) in Cebu City using LiDAR (Light Detection and Ranging). Object-Based Image An...
REMOTE SENSING APPLICATION OF THE GEOPHYSICAL CHANGES IN THE COASTLINES AND RIVERS OF ZAMBALES,PHILIPPINES
Remote Sensing Accretion Erosion Geophysical changes Lahar
2016/11/30
Geophysical changes in river outlet, river upstream and coastlines near the rivers of Bucao and Santo Tomas in Zambales, Philippines were analyzed using the Google Earth’s historical satellite imageri...
ACADEME-LOCAL GOVERNMENT PARTNERSHIP TOWARDS EFFECTIVE APPLICATION OF GEOSPATIAL TECHNOLOGIES FOR SMARTER FLOOD DISASTER MANAGEMENT AT THE LOCAL LEVEL:AN EXAMPLE FROM MINDANAO,PHILIPPINES
Geospatial technology Flood Disaster management Academe-local government partnership Mindanao Philippines
2016/11/30
In this paper, we discuss how an academe-local government partnership can lead the way for the effective use of geospatial technologies for smarter and geospatially-informed decision making before, du...
RUNNING TO SAFETY:ANALYSIS OF DISASTER SUSCEPTIBILITY OF NEIGHBORHOODS AND PROXIMITY OF SAFETY FACILITIES IN SILAY CITY,PHILIPPINES
Hazards Building Extraction Flooding LiDAR Disaster Management
2016/11/30
Going on foot is the most viable option when emergency responders fail to show up in disaster zones at the quickest and most reasonable time. In the Philippines, the efficacy of disaster management of...
THE APPLICATION OF SUPPORT VECTOR MACHINE (SVM) USING CIELAB COLOR MODEL, COLOR INTENSITY AND COLOR CONSTANCY AS FEATURES FOR ORTHO IMAGE CLASSIFICATION OF BENTHIC HABITATS IN HINATUAN,SURIGAO DEL SUR,PHILIPPINES
Benthic habitat mapping Image processing CIELAB Color science OBIA SVM
2016/11/23
This study demonstrates the application of CIELAB, Color intensity, and One Dimensional Scalar Constancy as features for image recognition and classifying benthic habitats in an image with the coastal...
A FRAMEWORK FOR CAPACITY BUILDING IN MAPPING COASTAL RESOURCES USING REMOTE SENSING IN THE PHILIPPINES
Coastal Resources Mapping LiDAR Remote Sensing Capacity Building Philippines
2016/11/15
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 ob...
RS-BASED WATER RESOURCES INVENTORY OF THE PHILIPPINES: CAPACITY BUILDING EFFORTS FOR NATIONWIDE IMPLEMENTATION
Capacity Building Hydrologic Data Geodatabase Water Resource Inventory Water Resource Mapping LIDAR
2016/11/15
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 coun...
NATIONWIDE NATURAL RESOURCE INVENTORY OF THE PHILIPPINES USING LIDAR: STRATEGIES, PROGRESS, AND CHALLENGES
LiDAR natural resources agricultural forest coastal hydrological renewable energy
2016/11/15
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 metho...
DATA ARCHIVING AND DISTRIBUTION OF LiDAR AND DERIVED DATASETS IN THE PHILIPPINES
LiDAR Geospatial Data Infrastructure Data Archiving and Distribution Geospatial Database Web Standards
2016/11/8
LiDAR programs in the Philippines have been generating valuable resource and hazard information for most of the country at a substantial rate since 2012. Significant progress have been made due to the...