Mapping inland aquaculture from orthophoto and LiDAR data using object-based image analysis

David, Lawrence Charlemagne G.; Ballado, Alejandro H.; Sarte, Shydel M.; Pula, Rolando

doi:10.1109/r10-htc.2016.7906855

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…The utilization of data from government agencies and local government units (LGUs) strengthens the scientific basis of the assessment, providing a foundation for informed decision-making and strategic planning to address the challenges posed by environmental changes. The mapping of mangroves and aquaculture resources was accomplished by extracting information from LiDAR data using Object-Based Image Analysis with the Ecognition software, following established workflows outlined in previous studies [32][33][34]. Concurrently, the resource map for corals and seagrasses was derived from LandSat 8 imagery captured in the same month and year as the LiDAR data acquisition.…”

Section: Data Gatheringmentioning

confidence: 99%

“…For mangroves and aquaculture classification, different LiDAR derivatives were utilized, including DSM (Digital Surface Model), NDSM (Normalized Digital Surface Model), slope of DSM, DTM (Digital Terrain Model), CHM (Canopy Height Model), and RGB from orthophotos images. The classification process for mangroves involved the use of height metrics, while aquaculture processing incorporated the slope of DSM and intensity of LiDAR data, aligning with the established workflow [34].…”

Section: Data Gatheringmentioning

confidence: 99%

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Vulnerability Assessment of Coastal Resources in Lian, Batangas to Climate Change Hazards Using Combined CIVAT and ICSEA-C Toolkit from Classified LiDAR Data and LandSat8 Images

Pula,

Ballado,

Esguerra

et al. 2023

Preprint

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Coastal resources in Lian, Batangas, have undergone significant degradation due to a combination of human activities and natural factors, including sea-level rise, changes in sea-surface temperature, fluctuations in rainfall, increased storm frequency, and sedimentation. This has led to adverse effects on key ecosystems such as corals, mangroves, and seagrasses. To assess the extent of climate change hazards on these coastal resources, a Vulnerability Assessment was conducted in the municipality of Lian, Batangas. The assessment employed a combination of the Coastal Integrity Vulnerability Assessment Toolkit (CIVAT) and Integrated Coastal Sensitivity, Exposure, and Adaptive Capacity to Climate Change (ICSEA-C) guidelines. Additionally, the analysis incorporated detailed mapping using Light Detection and Ranging (LiDAR) data for mangroves and LandSat 8 imagery for corals and seagrasses. The findings at the municipal scale revealed that a staggering 90% of mangroves in Lian, Batangas, were highly vulnerable. This vulnerability was attributed to a high score in intrinsic characteristics and a low adaptive capacity. Similarly, a majority of seagrasses in the area were classified as medium and highly vulnerable at the municipal level. Only 10–20% of seagrasses received low to medium vulnerability scores. Shockingly, almost 100% of the coral reefs in Lian, Batangas, were deemed highly vulnerable, indicating a critical threat to this crucial marine ecosystem.

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Section: Data Gatheringmentioning

confidence: 99%

Section: Data Gatheringmentioning

confidence: 99%

Vulnerability Assessment of Coastal Resources in Lian, Batangas to Climate Change Hazards Using Combined CIVAT and ICSEA-C Toolkit from Classified LiDAR Data and LandSat8 Images

Pula,

Ballado,

Esguerra

et al. 2023

Preprint

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“…Light Detection and Ranging or known as LiDAR is a method to identify a specific point of object on the earth's surface based on the light reflected technique [1]. This technology is evolving and various innovations in terms of methods and equipment used to conduct the data acquisitions.…”

Section: Introductionmentioning

confidence: 99%

Application and Evolution of Airborne LiDAR Technology for Topographic Data Acquisition Practice in the Department of Survey and Mapping Malaysia

Hassan¹,

Rahman²

2021

JETAP

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The mapping industry is one of the areas that is always given attention to balance the rapid development of current technology. The application of Light Detection and Ranging (LiDAR) technology in the mapping industry opens up a wide dimension of discussion involving industry users as well as academics. LiDAR technology is now a common method for faster and higher quality topographic data collection than conventional topographic data collection methods. Observation data that is generally in the form of high-density point (point cloud) can also be applied in various uses, especially in the field of mapping and terrain analysis. Therefore, this paper will discuss related LiDAR technology including basic information or principles of LiDAR technology, the latest developments of LiDAR methods, and work processes involved from the point of view of the Department of Survey and Mapping Malaysia (JUPEM).

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Classification of Landcover from Combined LiDAR and Orthophotos Using Support Vector Machine

Pula

Concepcion

Ilagan

et al. 2019

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environ

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Mapping inland aquaculture from orthophoto and LiDAR data using object-based image analysis

Cited by 7 publications

References 17 publications

Vulnerability Assessment of Coastal Resources in Lian, Batangas to Climate Change Hazards Using Combined CIVAT and ICSEA-C Toolkit from Classified LiDAR Data and LandSat8 Images

Vulnerability Assessment of Coastal Resources in Lian, Batangas to Climate Change Hazards Using Combined CIVAT and ICSEA-C Toolkit from Classified LiDAR Data and LandSat8 Images

Application and Evolution of Airborne LiDAR Technology for Topographic Data Acquisition Practice in the Department of Survey and Mapping Malaysia

Classification of Landcover from Combined LiDAR and Orthophotos Using Support Vector Machine

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