Integration of manual channel initiation and flow path tracing in extracting stream features from lidar-derived DTM

Gaspa, M. C.; Cruz, R. M. De La; Olfindo, N. T.; Borlongan, N. J. B.; Perez, A. M. C.

doi:10.1117/12.2241977

Cited by 2 publications

(1 citation statement)

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“…LiDAR-based DEMs provide a strong basis from which predictive physiographic classifications can be performed. They have helped improve the identification of drainage patterns (including within peatlands), stream channel delineation, and floodplain mapping (Luscombe et al 2014;Demarchi et al 2016;Gaspa et al 2016;Hamada et al 20016). By applying filters to DEMs, anomalous pits and peaks can be removed, which provides a smoothed surface that allows discontinuities in the data (drainages) to be extracted and classified (Heung et al 2014;Luscombe et al 2014).…”

Section: Lidar and Its Application For Classifying Abiotic And Biotic...mentioning

confidence: 99%

LiDAR as an Advanced Remote Sensing Technology to Augment Ecosystem Classification and Mapping

Campbell

Coops²,

Saunders³

2017

JEM

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Observing landscape patterns at various temporal and spatial scales is central to classifying and mapping ecosystems. Traditionally, ecosystem mapping is undertaken through a combination of fieldwork and aerial photography interpretation. These methods, however, are time-consuming, prone to subjectivity, and difficult to update. Light Detection and Ranging (LiDAR) is an advanced remote sensing technology that has rapidly increased in application in the past decade and has the potential to significantly increase and refine information content of ecosystem mapping, especially in the vertical dimension. LiDAR technology is therefore well-suited to providing detailed information on topography and vegetation structure and has considerable potential to be used for ecosystem classification and mapping. In this article, the potential to use LiDAR data to advance ecosystem mapping is examined. The current state of the science for using LiDAR data to classify and map key ecosystem attributes within an existing ecosystem mapping scheme is discussed by focusing on British Columbia Terrestrial Ecosystem Mapping and its associated Predictive Ecosystem Mapping. The article concludes by summarizing which components of ecosystem mapping and classification are best suited to the application of LiDAR data, followed by a discussion of the feasibility and future directions for mapping ecosystems with LiDAR technology.

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Section: Lidar and Its Application For Classifying Abiotic And Biotic...mentioning

confidence: 99%

LiDAR as an Advanced Remote Sensing Technology to Augment Ecosystem Classification and Mapping

Campbell

Coops²,

Saunders³

2017

JEM

View full text Add to dashboard Cite

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Analysis of Classification Methods for Identifying Stands for Commercial Thinning Using LiDAR

Frank

Mauro

Temesgen

et al. 2019

Canadian Journal of Remote Sensing

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Integration of manual channel initiation and flow path tracing in extracting stream features from lidar-derived DTM

Cited by 2 publications

References 6 publications

LiDAR as an Advanced Remote Sensing Technology to Augment Ecosystem Classification and Mapping

LiDAR as an Advanced Remote Sensing Technology to Augment Ecosystem Classification and Mapping

Analysis of Classification Methods for Identifying Stands for Commercial Thinning Using LiDAR

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