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   Articles with "airborne lidar" as a keyword



Lineament fabric from airborne LiDAR and its influence on triggered earthquakes in the Koyna-Warna region, western India

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recommendations! Published in 2017 at "Journal of the Geological Society of India"

DOI: 10.1007/s12594-017-0774-9

Abstract: We present the results of the first airborne LiDAR survey flown in the Koyna-Warna region and examine the relationship between the lineament fabric and the ongoing seismicity in the region. Our studies reveal that earthquakes… read more here.

Keywords: koyna warna; lineament fabric; warna region; airborne lidar ... See more keywords

Community-scale multi-level post-hurricane damage assessment of residential buildings using multi-temporal airborne LiDAR data

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recommendations! Published in 2019 at "Automation in Construction"

DOI: 10.1016/j.autcon.2018.10.018

Abstract: Abstract Building damage assessment is a critical task following major hurricane events. Use of remotely sensed data to support building damage assessment is a logical choice considering the difficulty of gaining ground access to the… read more here.

Keywords: airborne lidar; hurricane; damage; damage assessment ... See more keywords

Scale-guided mapping of forest stand structural heterogeneity from airborne LiDAR

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recommendations! Published in 2019 at "Ecological Indicators"

DOI: 10.1016/j.ecolind.2019.02.056

Abstract: Abstract Heterogeneity in forest structure, naturally occurring or induced by management, is continuous in space and time. However, measures used to quantify structure of forests are scale-variant, as they rely on bounded observations on either… read more here.

Keywords: plot sizes; management; structural heterogeneity; airborne lidar ... See more keywords

The role of the vegetation structure, primary productivity and senescence derived from airborne LiDAR and hyperspectral data for birds diversity and rarity on a restored site

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recommendations! Published in 2021 at "Landscape and Urban Planning"

DOI: 10.1016/j.landurbplan.2021.104064

Abstract: Abstract Management of restored areas requires ecologically meaningful spatial data providing objective measures of restoration success. Understanding relationships between species diversity on the one hand and habitat heterogeneity and productivity on the other can help… read more here.

Keywords: airborne lidar; rarity; productivity; vegetation ... See more keywords

Estimating aboveground biomass and forest canopy cover with simulated ICESat-2 data

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recommendations! Published in 2019 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2019.01.037

Abstract: Abstract The Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) launched on September 15th, 2018 and this mission offers an extraordinary opportunity to contribute to an assessment of forest resources at multiple spatial scales. This study… read more here.

Keywords: airborne lidar; icesat data; canopy cover; canopy ... See more keywords
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Enhancing airborne LiDAR data for improved forest structure representation in shortwave transmission models

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recommendations! Published in 2020 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2020.112017

Abstract: Abstract Forest canopies act as intermediaries in radiation energy exchange between the atmosphere and the snow surface. The size, location and distribution of forest discontinuities are important controls on forest shortwave radiation transmission and subsequent… read more here.

Keywords: lidar; transmission; radiation; airborne lidar ... See more keywords

Airborne lidar at Guiengola, Oaxaca: Mapping a Late Postclassic Zapotec city

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recommendations! Published in 2024 at "Ancient Mesoamerica"

DOI: 10.1017/s0956536124000166

Abstract: Abstract The site of Guiengola is an example of one of the settlements built by the Zapotecs during their fourteenth- to fifteenth-century migration to the Southern Isthmus of Tehuantepec. Although Guiengola is well known in… read more here.

Keywords: airborne lidar; guiengola; oaxaca mapping; city ... See more keywords
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Mapping Exposure to Flooding in Three Coastal Communities on the North Slope of Alaska Using Airborne LiDAR

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recommendations! Published in 2020 at "Coastal Management"

DOI: 10.1080/08920753.2020.1732798

Abstract: Abstract The intensification of coastal storms, combined with declining sea ice cover, sea level rise, and changes to permafrost conditions, will likely increase the incidence and impact of storm surge flooding in Arctic coastal environments.… read more here.

Keywords: north slope; three coastal; storm; exposure ... See more keywords

A GeOBIA-assisted framework for canopy height estimation using airborne lidar scanning: a city-scale approach

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recommendations! Published in 2025 at "Geocarto International"

DOI: 10.1080/10106049.2025.2515270

Abstract: Abstract Airborne LiDAR scanning (ALS) provides a platform to remotely sense large areas of standing trees in a short period. Generally, scanning systems are mounted to fixed-wing aircraft with a nadir orientation that permits either… read more here.

Keywords: airborne lidar; lidar scanning; geobia assisted; framework canopy ... See more keywords

Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery

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recommendations! Published in 2017 at "International Journal of Digital Earth"

DOI: 10.1080/17538947.2016.1227380

Abstract: ABSTRACT Forests of the Sierra Nevada (SN) mountain range are valuable natural heritages for the region and the country, and tree height is an important forest structure parameter for understanding the SN forest ecosystem. There… read more here.

Keywords: resolution; airborne lidar; lidar; tree height ... See more keywords

Self-Supervised Learning for Precise Individual Tree Segmentation in Airborne LiDAR Point Clouds

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3563363

Abstract: Segmenting individual trees from airborne LiDAR point cloud data is critical for forest management, urban planning, and ecological monitoring but remains challenging due to complex natural environments, diverse tree architectures, and dense canopies. Traditional supervised… read more here.

Keywords: airborne lidar; self supervised; supervised learning; segmentation ... See more keywords