Enrico Paringit | University of the Philippines (original) (raw)
Papers by Enrico Paringit
ASEAN Engineering Journal, 2022
The wind characteristics in Barangay Bagasbas Daet, Camarines Norte, by way of 5-year win data at... more The wind characteristics in Barangay Bagasbas Daet, Camarines Norte, by way of 5-year win data at a 10-m elevation was analyzed using the data gathered from PAGASA or the Philippine Atmospheric Geophysical and Astronomical Services Administration. The area has an overall mean wind speed of 3.36 m/s at 75 degrees North of East. By way of Weibull model to fit the wind data distribution recording an annual wind density of 52.94 W/m2. Power curves used for the estimate of the annual generated energy are 3 KW(V), 5 KW(V), 10 KW(V), 10 KW(H) and 20 KW(H) for small-scale turbine. A value of about 17,095.23 kWh/year was expected for the annual production of energy for 20 KW(H) wind turbine. However, the 5 kW(V) wind turbine shows the highest capacity factor of 13.97%.
ASEAN Engineering Journal, 2022
The wind characteristics in Barangay Bagasbas Daet, Camarines Norte, by way of 5-year win data at... more The wind characteristics in Barangay Bagasbas Daet, Camarines Norte, by way of 5-year win data at a 10-m elevation was analyzed using the data gathered from PAGASA or the Philippine Atmospheric Geophysical and Astronomical Services Administration. The area has an overall mean wind speed of 3.36 m/s at 75 degrees North of East. By way of Weibull model to fit the wind data distribution recording an annual wind density of 52.94 W/m2. Power curves used for the estimate of the annual generated energy are 3 KW(V), 5 KW(V), 10 KW(V), 10 KW(H) and 20 KW(H) for small-scale turbine. A value of about 17,095.23 kWh/year was expected for the annual production of energy for 20 KW(H) wind turbine. However, the 5 kW(V) wind turbine shows the highest capacity factor of 13.97%.
This paper presents an approach in extracting multi-temporal land-cover information (years 1976-2... more This paper presents an approach in extracting multi-temporal land-cover information (years 1976-2001) from cloud-contaminated remotely-sensed images acquired by the Landsat Multi-Spectral Scanner (MSS) and Enhanced Thematic Mapper plus (ETM+) sensors in order to detect and analyze deforestation and other types of land-cover change (LCC) in two forest resource-rich provinces of Agusan del Norte (ADN) and Agusan del Sur (ADS) in Mindanao, Philippines. The cloud contamination problem was addressed by developing a cloud-and-shadow masking algorithm comprising of image segmentation and Maximum Likelihood classification to remove clouds and shadows. Forest-cover change from 1976-2001 were then detected using a Support Vector Machine classifier, and a post-classification change detection algorithm in portions of the land-cover maps un-contaminated by clouds and shadows. Geographic Information System (GIS) and logistic regression analyses were employed to characterize deforestation in ADN a...
TENCON 2009 - 2009 IEEE Region 10 Conference, 2009
Although there are some recent characterizations of Multivariate Gauss Markov-Random Field (MGMRF... more Although there are some recent characterizations of Multivariate Gauss Markov-Random Field (MGMRF) models, these are limited to cases where the interaction matrix coefficients are modeled with some special form. We extend the modeling and parameter estimation for the interaction matrix coefficients for a general anisotropic MGMRF. Although the MGMRF is a natural generalization of its univariate counterpart, there are new
ABSTRACT: Situated along the Pacific Belt, the Philippines is susceptible to typhoon and earthqua... more ABSTRACT: Situated along the Pacific Belt, the Philippines is susceptible to typhoon and earthquake risks throughout the year. Within the last five years, a number of devastating floods and thousands of lost lives have emphasized the need for detailed, up-to-date, spatial and topographic data. The scarcity of topographic and land cover data has, for decades, limited the national and local government units, planners, and stakeholders from effectively addressing these issues. The Nationwide Disaster Risk and Exposure Assessment for Mitigation (DREAM) Program approached this problem using Light Detection and Ranging (LiDAR) technology. This paper looked into the data acquisition methodology employed by the DREAM Program to survey 18 major river basins of the country.
ABSTRACT: Widespread flooding is a major problem in the Philippines. The country experiences heav... more ABSTRACT: Widespread flooding is a major problem in the Philippines. The country experiences heavy amount of rainfall throughout the year and several areas are prone to flood hazards because of its unique topography. Human casualties and destruction of infrastructure are some of the damages caused by flooding and the Philippine government has undertaken various efforts to mitigate these hazards. One of the solutions was to create flood hazard maps of different floodplains and use them to predict the possible catastrophic results of different rain scenarios. To produce these maps with accurate output, different input parameters were needed and one of those is calculating hydrological components from topographical data. This paper presents how a calibrated lag time equation was obtained using measurable catchment parameters. Lag time is an essential input in flood mapping and is defined as the duration between the peak rainfall and peak discharge of the watershed. The lag time equatio...
ABSTRACT: The Phil-LiDAR programs of the Philippines were initiated with the goal of producing ha... more ABSTRACT: The Phil-LiDAR programs of the Philippines were initiated with the goal of producing hazard and resource maps using LiDAR technology. To achieve this, the Department of Science and Technology (DOST) engaged the University of the Philippines (UP) and fifteen (15) Higher Education Institutions (HEIs) throughout the country. Since data acquisition, pre-processing and quality checking are centrally operated in UP, an effective data access and distribution system is needed to allow data processing and validating at various research stations across the nation. This paper details the data archiving and distribution processes between the program partners and components utilizing the system developed by the Data Archiving and Distribution (DAD) component of Phil-LiDAR 1 called LiPAD, or LiDAR Portal for Archiving and Distribution. LiPAD is a combination of a web portal derived from GeoNode, an open-source geospatial content management system, to handle spatial data management and t...
ABSTRACT: Floods are a persistent problem in the Philippines that need to be addressed in a more ... more ABSTRACT: Floods are a persistent problem in the Philippines that need to be addressed in a more scientific way in order to mitigate its costly impacts to human lives and properties. The September 2009 floods caused by Typhoon Ketsana that devastated Metro Manila and its surroundings exemplified the need for an accurate and reliable flood monitoring tool for determining the extents of floods and for assessing the risks due to this disaster. In this study, we developed and parameterized a near-real time flood extent monitoring model for Marikina River, Philippines using the Hydrologic Engineering Center – River Analysis System (HEC RAS) program. River bathymetric surveys and cross-section measurements were conducted to generate the geometry of the Marikina River required by HEC RAS. Flood plain surface roughness coefficients needed to parameterize the model were derived from multispectral classification of a 10-m spatial resolution ALOS AVNIR-2 of the study area. The HEC RAS model wa...
Abstract: Landsat MSS and ETM+ images were analyzed to detect 25-year land-cover change (1976–200... more Abstract: Landsat MSS and ETM+ images were analyzed to detect 25-year land-cover change (1976–2001) in the critical Taguibo Watershed in Mindanao Island, Southern Philippines. This watershed has experienced historical modifications of its land-cover due to the presence of logging industries in the 1950s, and continuous deforestation due to illegal logging and slash-and-burn agriculture in the present time. To estimate the impacts of land-cover change on watershed runoff, land-cover information derived from the Landsat images was utilized to parameterize a GIS-based hydrologic model. The model was then calibrated with field-measured discharge data and used to simulate the responses of the watershed in its year 2001 and year 1976 land-cover conditions. The availability of land-cover information on the most recent state of the watershed from the Landsat ETM+ image made it possible to locate areas for rehabilitation such as barren and logged-over areas. We then created a “rehabilitated ...
SUMMARY This paper propounds on the needs, techniques and applications of surveying rivers and wa... more SUMMARY This paper propounds on the needs, techniques and applications of surveying rivers and waterways for purposes of mapping, monitoring and managing riverine (fluvial) flooding. We proceed to relate experiences in actually performing end-to-end flood hazard assessment applications based on the fine-scale topographic data from airborne LIDAR surveys, river geometric and hydrometric measurements, and numerical model simulation for a river that recently experienced severe flooding event in the Philippines. The paper argues that while survey accuracy and specifications are important, the data capture, collection and management techniques must be sensitive to current and hydrologic modeling processes, tools and capabilities in order to arrive at a reasonable results and interpretation. In particular, certain standards and reference systems must be observed to effectively process and analyze river observation data. Results of flooding impacts from various options of spatial developme...
Investigations of water quality variations need to consider the temporal aspect as well as the sp... more Investigations of water quality variations need to consider the temporal aspect as well as the spatial aspect to better understand processes and identify control factors and facilitate the formulation of potentially effective measures to improve water quality. The water quality of San Juan River and its tributaries was assessed over a one-year period through monthly water sampling and 24-hour in situ measurements at 13 primary stations, bi-weekly in situ measurements at 30 stations and synoptic spatial water quality surveys along the rivers and creeks. Parameters monitored include turbidity, suspended solids, dissolved oxygen, various nutrient species, ORP, COD, BOD, coliforms and heavy metals. TSS, BOD, and COD variations showed seasonality effects: relatively high in January and February, gradually decreasing through the summer months, continually decreasing further during the rainy months of June to September, and increasing in October to December. The same was observed for Total...
planning SUMMARY Spatial information plays a vital role in meeting the development goals of a cou... more planning SUMMARY Spatial information plays a vital role in meeting the development goals of a country particularly in the areas of resource management, environmental monitoring and infrastructure development. However, the archipelagic nation of Philippines faces greater and more complex development challenges in the face of continuing struggle with ever-frequenting natural hazard events and the subtle ravages of climate change. Development processes therefore must incorporate risk reduction and adaptation strategies from disasters and climate change respectively. Possessing the ability to understand hazards and climate change phenomena can be achieved through better information especially those which are geospatial in character. The proposition put forward in this paper is that (1) the services and products by surveyors or geodetic engineers are critical in formulating the appropriate plans and actions to mitigate and reduce risks from disasters and climate change and that (2) in or...
Oil spill patterns detected from Envisat ASAR images were integrated with hydrodynamic and oil sp... more Oil spill patterns detected from Envisat ASAR images were integrated with hydrodynamic and oil spill trajectory models for the purposes of understanding the August 11, 2006 M/T Solar 1 oil spill, and to evaluate the accuracy of the oil spill patterns simulated by an oil trajectory model. The oil spill incident event that occurred a few kilometers southwest of Guimaras Island in Panay Gulf and Iloilo Guimaras Strait (PG-IGS), Central Philippines, is considered to be the worst oil-related environmental disaster the Philippines has experienced. A three-dimensional, windand tide-driven hydrodynamic model of the PG-IGS coastal zone was developed using the Environmental Fluid Dynamics Code (EFDC) to ascertain water circulation patterns. The simulated currents by the EFDC model were used as inputs to an oil spill trajectory model based on the General NOAA Operational Modeling Environment (GNOME) that provided continuous simulation of the transport of spilled oil from its source to the near...
SUMMARY Site selection for new residential settlements is a complicated task, dealing with differ... more SUMMARY Site selection for new residential settlements is a complicated task, dealing with different variables such as accessibility, zoning, proximity to facilities and businesses, and demographic factors. Being quantities of different nature, a different approach is presented in this paper to represent their influence in value using regression analysis. A case study was conducted in Guiguinto, Bulacan, a first-class municipality in the Philippines, about 28 kilometers northwest from Manila. From a developer’s perspective, a regression algorithm which calculates for the counter-utility function value was formulated using the operational form of the Bid-Rent economic theory. These values were spatially represented using GIS, showing the utility assessment of Guiguinto for residential use.
The Philippines' Department of Science and Technology in collaboration with Higher Education ... more The Philippines' Department of Science and Technology in collaboration with Higher Education Institutions, lead by the University of the Philippines, has embarked on a program for producing hazard maps on most major river systems in the Philippines. Realising the utility of LiDAR and its derived data sets, a concurrent program on resource assessment was also initiated, aimed to produce essential products that can be used in urban planning, resource planning, and other purposes these geospatial data might be able to provide. As a result, both programs produce immensely sizable datasets due for storage and distribution. Compiling them as one large file, or a small number of large files is impractical, and storing these data sets in current spatial content management systems and geoportal solutions also pose a challenge. In this study we present a system for storing and delivering LiDAR and LiDAR-derived data using Ceph object storage system and a spatial content management system ...
This paper presents a technique to detect oil spills in ENVISAT Advanced Synthetic Aperture Radar... more This paper presents a technique to detect oil spills in ENVISAT Advanced Synthetic Aperture Radar (ASAR) images using radar backscatter thresholding and logistic regression analysis. We developed and tested this technique using 4 Envisat ASAR images that were acquired many days after the M/T Solar I oil spill incident occurred on August 11, 2006 in Panay Gulf, southwest of Guimaras Island in Visayas, Philippines. A semi-automated approach by histogram analysis and radar backscatter thresholding was implemented to detect and segment dark formations in the Envisat ASAR images. Then, a logistic regression (LR)-based dark formation classifier was developed using 4 shape features, 11 contrast features, 2 homogeneity, and 2 slick surrounding features of the detected dark formations consisting of 154 verified oil slicks and 1,355 look-alikes. From this, a dataset consisting of 77 confirmed oil slicks and 77 look-alikes were randomly selected and used to train the classifier while the remai...
E3S Web of Conferences
Solid waste biomass contains a significant amount of carbohydrates and other combustible chemical... more Solid waste biomass contains a significant amount of carbohydrates and other combustible chemical compounds that have potential as an alternative energy source. In this paper, the synthesis of biomass energy potential assessment from solid waste and the development of a model equation was presented, in order to utilize as assessment tools for the Philippine local government units, most especially the established sanitary landfills and waste-to-energy technologies and facilities that are soon-to-be installed. Data for the said model equation was obtained from various Philippine government agencies, such as the Department of Energy, Department of Environment and Natural Resources, and others. In order to accumulate those in the model, numerous concepts are applied, such as parameterization and others. Furthermore, a time-series study is subjected to analysis, in order to forecast of the biomass energy. Moreover, the biomass energy potential from the rest of the Philippine archipelago ...
ASEAN Engineering Journal, 2022
The wind characteristics in Barangay Bagasbas Daet, Camarines Norte, by way of 5-year win data at... more The wind characteristics in Barangay Bagasbas Daet, Camarines Norte, by way of 5-year win data at a 10-m elevation was analyzed using the data gathered from PAGASA or the Philippine Atmospheric Geophysical and Astronomical Services Administration. The area has an overall mean wind speed of 3.36 m/s at 75 degrees North of East. By way of Weibull model to fit the wind data distribution recording an annual wind density of 52.94 W/m2. Power curves used for the estimate of the annual generated energy are 3 KW(V), 5 KW(V), 10 KW(V), 10 KW(H) and 20 KW(H) for small-scale turbine. A value of about 17,095.23 kWh/year was expected for the annual production of energy for 20 KW(H) wind turbine. However, the 5 kW(V) wind turbine shows the highest capacity factor of 13.97%.
ASEAN Engineering Journal, 2022
The wind characteristics in Barangay Bagasbas Daet, Camarines Norte, by way of 5-year win data at... more The wind characteristics in Barangay Bagasbas Daet, Camarines Norte, by way of 5-year win data at a 10-m elevation was analyzed using the data gathered from PAGASA or the Philippine Atmospheric Geophysical and Astronomical Services Administration. The area has an overall mean wind speed of 3.36 m/s at 75 degrees North of East. By way of Weibull model to fit the wind data distribution recording an annual wind density of 52.94 W/m2. Power curves used for the estimate of the annual generated energy are 3 KW(V), 5 KW(V), 10 KW(V), 10 KW(H) and 20 KW(H) for small-scale turbine. A value of about 17,095.23 kWh/year was expected for the annual production of energy for 20 KW(H) wind turbine. However, the 5 kW(V) wind turbine shows the highest capacity factor of 13.97%.
This paper presents an approach in extracting multi-temporal land-cover information (years 1976-2... more This paper presents an approach in extracting multi-temporal land-cover information (years 1976-2001) from cloud-contaminated remotely-sensed images acquired by the Landsat Multi-Spectral Scanner (MSS) and Enhanced Thematic Mapper plus (ETM+) sensors in order to detect and analyze deforestation and other types of land-cover change (LCC) in two forest resource-rich provinces of Agusan del Norte (ADN) and Agusan del Sur (ADS) in Mindanao, Philippines. The cloud contamination problem was addressed by developing a cloud-and-shadow masking algorithm comprising of image segmentation and Maximum Likelihood classification to remove clouds and shadows. Forest-cover change from 1976-2001 were then detected using a Support Vector Machine classifier, and a post-classification change detection algorithm in portions of the land-cover maps un-contaminated by clouds and shadows. Geographic Information System (GIS) and logistic regression analyses were employed to characterize deforestation in ADN a...
TENCON 2009 - 2009 IEEE Region 10 Conference, 2009
Although there are some recent characterizations of Multivariate Gauss Markov-Random Field (MGMRF... more Although there are some recent characterizations of Multivariate Gauss Markov-Random Field (MGMRF) models, these are limited to cases where the interaction matrix coefficients are modeled with some special form. We extend the modeling and parameter estimation for the interaction matrix coefficients for a general anisotropic MGMRF. Although the MGMRF is a natural generalization of its univariate counterpart, there are new
ABSTRACT: Situated along the Pacific Belt, the Philippines is susceptible to typhoon and earthqua... more ABSTRACT: Situated along the Pacific Belt, the Philippines is susceptible to typhoon and earthquake risks throughout the year. Within the last five years, a number of devastating floods and thousands of lost lives have emphasized the need for detailed, up-to-date, spatial and topographic data. The scarcity of topographic and land cover data has, for decades, limited the national and local government units, planners, and stakeholders from effectively addressing these issues. The Nationwide Disaster Risk and Exposure Assessment for Mitigation (DREAM) Program approached this problem using Light Detection and Ranging (LiDAR) technology. This paper looked into the data acquisition methodology employed by the DREAM Program to survey 18 major river basins of the country.
ABSTRACT: Widespread flooding is a major problem in the Philippines. The country experiences heav... more ABSTRACT: Widespread flooding is a major problem in the Philippines. The country experiences heavy amount of rainfall throughout the year and several areas are prone to flood hazards because of its unique topography. Human casualties and destruction of infrastructure are some of the damages caused by flooding and the Philippine government has undertaken various efforts to mitigate these hazards. One of the solutions was to create flood hazard maps of different floodplains and use them to predict the possible catastrophic results of different rain scenarios. To produce these maps with accurate output, different input parameters were needed and one of those is calculating hydrological components from topographical data. This paper presents how a calibrated lag time equation was obtained using measurable catchment parameters. Lag time is an essential input in flood mapping and is defined as the duration between the peak rainfall and peak discharge of the watershed. The lag time equatio...
ABSTRACT: The Phil-LiDAR programs of the Philippines were initiated with the goal of producing ha... more ABSTRACT: The Phil-LiDAR programs of the Philippines were initiated with the goal of producing hazard and resource maps using LiDAR technology. To achieve this, the Department of Science and Technology (DOST) engaged the University of the Philippines (UP) and fifteen (15) Higher Education Institutions (HEIs) throughout the country. Since data acquisition, pre-processing and quality checking are centrally operated in UP, an effective data access and distribution system is needed to allow data processing and validating at various research stations across the nation. This paper details the data archiving and distribution processes between the program partners and components utilizing the system developed by the Data Archiving and Distribution (DAD) component of Phil-LiDAR 1 called LiPAD, or LiDAR Portal for Archiving and Distribution. LiPAD is a combination of a web portal derived from GeoNode, an open-source geospatial content management system, to handle spatial data management and t...
ABSTRACT: Floods are a persistent problem in the Philippines that need to be addressed in a more ... more ABSTRACT: Floods are a persistent problem in the Philippines that need to be addressed in a more scientific way in order to mitigate its costly impacts to human lives and properties. The September 2009 floods caused by Typhoon Ketsana that devastated Metro Manila and its surroundings exemplified the need for an accurate and reliable flood monitoring tool for determining the extents of floods and for assessing the risks due to this disaster. In this study, we developed and parameterized a near-real time flood extent monitoring model for Marikina River, Philippines using the Hydrologic Engineering Center – River Analysis System (HEC RAS) program. River bathymetric surveys and cross-section measurements were conducted to generate the geometry of the Marikina River required by HEC RAS. Flood plain surface roughness coefficients needed to parameterize the model were derived from multispectral classification of a 10-m spatial resolution ALOS AVNIR-2 of the study area. The HEC RAS model wa...
Abstract: Landsat MSS and ETM+ images were analyzed to detect 25-year land-cover change (1976–200... more Abstract: Landsat MSS and ETM+ images were analyzed to detect 25-year land-cover change (1976–2001) in the critical Taguibo Watershed in Mindanao Island, Southern Philippines. This watershed has experienced historical modifications of its land-cover due to the presence of logging industries in the 1950s, and continuous deforestation due to illegal logging and slash-and-burn agriculture in the present time. To estimate the impacts of land-cover change on watershed runoff, land-cover information derived from the Landsat images was utilized to parameterize a GIS-based hydrologic model. The model was then calibrated with field-measured discharge data and used to simulate the responses of the watershed in its year 2001 and year 1976 land-cover conditions. The availability of land-cover information on the most recent state of the watershed from the Landsat ETM+ image made it possible to locate areas for rehabilitation such as barren and logged-over areas. We then created a “rehabilitated ...
SUMMARY This paper propounds on the needs, techniques and applications of surveying rivers and wa... more SUMMARY This paper propounds on the needs, techniques and applications of surveying rivers and waterways for purposes of mapping, monitoring and managing riverine (fluvial) flooding. We proceed to relate experiences in actually performing end-to-end flood hazard assessment applications based on the fine-scale topographic data from airborne LIDAR surveys, river geometric and hydrometric measurements, and numerical model simulation for a river that recently experienced severe flooding event in the Philippines. The paper argues that while survey accuracy and specifications are important, the data capture, collection and management techniques must be sensitive to current and hydrologic modeling processes, tools and capabilities in order to arrive at a reasonable results and interpretation. In particular, certain standards and reference systems must be observed to effectively process and analyze river observation data. Results of flooding impacts from various options of spatial developme...
Investigations of water quality variations need to consider the temporal aspect as well as the sp... more Investigations of water quality variations need to consider the temporal aspect as well as the spatial aspect to better understand processes and identify control factors and facilitate the formulation of potentially effective measures to improve water quality. The water quality of San Juan River and its tributaries was assessed over a one-year period through monthly water sampling and 24-hour in situ measurements at 13 primary stations, bi-weekly in situ measurements at 30 stations and synoptic spatial water quality surveys along the rivers and creeks. Parameters monitored include turbidity, suspended solids, dissolved oxygen, various nutrient species, ORP, COD, BOD, coliforms and heavy metals. TSS, BOD, and COD variations showed seasonality effects: relatively high in January and February, gradually decreasing through the summer months, continually decreasing further during the rainy months of June to September, and increasing in October to December. The same was observed for Total...
planning SUMMARY Spatial information plays a vital role in meeting the development goals of a cou... more planning SUMMARY Spatial information plays a vital role in meeting the development goals of a country particularly in the areas of resource management, environmental monitoring and infrastructure development. However, the archipelagic nation of Philippines faces greater and more complex development challenges in the face of continuing struggle with ever-frequenting natural hazard events and the subtle ravages of climate change. Development processes therefore must incorporate risk reduction and adaptation strategies from disasters and climate change respectively. Possessing the ability to understand hazards and climate change phenomena can be achieved through better information especially those which are geospatial in character. The proposition put forward in this paper is that (1) the services and products by surveyors or geodetic engineers are critical in formulating the appropriate plans and actions to mitigate and reduce risks from disasters and climate change and that (2) in or...
Oil spill patterns detected from Envisat ASAR images were integrated with hydrodynamic and oil sp... more Oil spill patterns detected from Envisat ASAR images were integrated with hydrodynamic and oil spill trajectory models for the purposes of understanding the August 11, 2006 M/T Solar 1 oil spill, and to evaluate the accuracy of the oil spill patterns simulated by an oil trajectory model. The oil spill incident event that occurred a few kilometers southwest of Guimaras Island in Panay Gulf and Iloilo Guimaras Strait (PG-IGS), Central Philippines, is considered to be the worst oil-related environmental disaster the Philippines has experienced. A three-dimensional, windand tide-driven hydrodynamic model of the PG-IGS coastal zone was developed using the Environmental Fluid Dynamics Code (EFDC) to ascertain water circulation patterns. The simulated currents by the EFDC model were used as inputs to an oil spill trajectory model based on the General NOAA Operational Modeling Environment (GNOME) that provided continuous simulation of the transport of spilled oil from its source to the near...
SUMMARY Site selection for new residential settlements is a complicated task, dealing with differ... more SUMMARY Site selection for new residential settlements is a complicated task, dealing with different variables such as accessibility, zoning, proximity to facilities and businesses, and demographic factors. Being quantities of different nature, a different approach is presented in this paper to represent their influence in value using regression analysis. A case study was conducted in Guiguinto, Bulacan, a first-class municipality in the Philippines, about 28 kilometers northwest from Manila. From a developer’s perspective, a regression algorithm which calculates for the counter-utility function value was formulated using the operational form of the Bid-Rent economic theory. These values were spatially represented using GIS, showing the utility assessment of Guiguinto for residential use.
The Philippines' Department of Science and Technology in collaboration with Higher Education ... more The Philippines' Department of Science and Technology in collaboration with Higher Education Institutions, lead by the University of the Philippines, has embarked on a program for producing hazard maps on most major river systems in the Philippines. Realising the utility of LiDAR and its derived data sets, a concurrent program on resource assessment was also initiated, aimed to produce essential products that can be used in urban planning, resource planning, and other purposes these geospatial data might be able to provide. As a result, both programs produce immensely sizable datasets due for storage and distribution. Compiling them as one large file, or a small number of large files is impractical, and storing these data sets in current spatial content management systems and geoportal solutions also pose a challenge. In this study we present a system for storing and delivering LiDAR and LiDAR-derived data using Ceph object storage system and a spatial content management system ...
This paper presents a technique to detect oil spills in ENVISAT Advanced Synthetic Aperture Radar... more This paper presents a technique to detect oil spills in ENVISAT Advanced Synthetic Aperture Radar (ASAR) images using radar backscatter thresholding and logistic regression analysis. We developed and tested this technique using 4 Envisat ASAR images that were acquired many days after the M/T Solar I oil spill incident occurred on August 11, 2006 in Panay Gulf, southwest of Guimaras Island in Visayas, Philippines. A semi-automated approach by histogram analysis and radar backscatter thresholding was implemented to detect and segment dark formations in the Envisat ASAR images. Then, a logistic regression (LR)-based dark formation classifier was developed using 4 shape features, 11 contrast features, 2 homogeneity, and 2 slick surrounding features of the detected dark formations consisting of 154 verified oil slicks and 1,355 look-alikes. From this, a dataset consisting of 77 confirmed oil slicks and 77 look-alikes were randomly selected and used to train the classifier while the remai...
E3S Web of Conferences
Solid waste biomass contains a significant amount of carbohydrates and other combustible chemical... more Solid waste biomass contains a significant amount of carbohydrates and other combustible chemical compounds that have potential as an alternative energy source. In this paper, the synthesis of biomass energy potential assessment from solid waste and the development of a model equation was presented, in order to utilize as assessment tools for the Philippine local government units, most especially the established sanitary landfills and waste-to-energy technologies and facilities that are soon-to-be installed. Data for the said model equation was obtained from various Philippine government agencies, such as the Department of Energy, Department of Environment and Natural Resources, and others. In order to accumulate those in the model, numerous concepts are applied, such as parameterization and others. Furthermore, a time-series study is subjected to analysis, in order to forecast of the biomass energy. Moreover, the biomass energy potential from the rest of the Philippine archipelago ...