LiDAR measurement of sagebrush steppe vegetation heights

Streutker, David R.; Glenn, Nancy F.

doi:10.1016/j.rse.2006.02.011

Cited by 189 publications

(153 citation statements)

References 18 publications

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“…According to Streutker and Glenn (2006) the selection of the radius is related to the horizontal accuracy of LiDAR data and errors of GPS system. In addition, Su and Bork (2006) reported DTM errors in areas with high slopes can generate errors in herbaceous studies.…”

Section: Introductionmentioning

confidence: 99%

Estimation of shrub biomass by airborne LiDAR data in small forest stands

Estornell

Velázquez‐Martí

Fernández-Sarría

2011

Forest Ecology and Management

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The presence of shrub vegetation is very significant in Mediterranean ecosystems.However, the difficulty involved in shrub management and the lack of information about behavior of this vegetation means that these areas are often left out of spatial planning projects. Airborne LiDAR (Light Detection And Ranging) has been used successfully in forestry to estimate dendrometric and dasometric variables that allow to characterize forest structure. In contrast, little research has focused on shrub vegetation.

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Section: Introductionmentioning

confidence: 99%

Estimation of shrub biomass by airborne LiDAR data in small forest stands

Estornell

Velázquez‐Martí

Fernández-Sarría

2011

Forest Ecology and Management

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“…The iterative procedure produced a point cloud dataset for each collection date with LiDAR points classified as either ground points or vegetation canopy (Figure 2). The point-cloud datasets were then processed to determine raster-based (2-cm cell resolution) metrics of: percent of returns from vegetation, percent of returns from ground surface, and mean ground and canopy height [34]. A GIS vector layer of the plot boundary produced from the total-station survey in April 2012 [30] was used to spatially constrain the LiDAR analysis to the study plot.…”

Section: Lidar Processingmentioning

confidence: 99%

Remote Sensing of Sonoran Desert Vegetation Structure and Phenology with Ground-Based LiDAR

et al. 2014

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Long-term vegetation monitoring efforts have become increasingly important for understanding ecosystem response to global change. Many traditional methods for monitoring can be infrequent and limited in scope. Ground-based LiDAR is one remote sensing method that offers a clear advancement to monitor vegetation dynamics at high spatial and temporal resolution. We determined the effectiveness of LiDAR to detect intra-annual variability in vegetation structure at a long-term Sonoran Desert monitoring plot dominated by cacti, deciduous and evergreen shrubs. Monthly repeat LiDAR scans of perennial plant canopies over the course of one year had high precision. LiDAR measurements of canopy height and area were accurate with respect to total station survey measurements of individual plants. We found an increase in the number of LiDAR vegetation returns following the wet North American Monsoon season. This intra-annual variability in vegetation structure detected by LiDAR was attributable to a drought deciduous OPEN ACCESSRemote Sens. 2015, 7 343shrub Ambrosia deltoidea, whereas the evergreen shrub Larrea tridentata and cactus Opuntia engelmannii had low variability. Benefits of using LiDAR over traditional methods to census desert plants are more rapid, consistent, and cost-effective data acquisition in a high-resolution, 3-dimensional context. We conclude that repeat LiDAR measurements can be an effective method for documenting ecosystem response to desert climatology and drought over short time intervals and at detailed-local spatial scale.

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“…BCAL, 2010;Streutker and Glenn, 2006;Tinkham et al 2011), could be used to filter the LAS data and more accurately identify the ground elevations.…”

Section: Accuracy Issues and Assumptionsmentioning

confidence: 99%

Detailed Hydrographic Feature Extraction from High-Resolution LiDAR Data

Anderson¹

2012

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LiDAR measurement of sagebrush steppe vegetation heights

Cited by 189 publications

References 18 publications

Estimation of shrub biomass by airborne LiDAR data in small forest stands

Estimation of shrub biomass by airborne LiDAR data in small forest stands

Remote Sensing of Sonoran Desert Vegetation Structure and Phenology with Ground-Based LiDAR

Detailed Hydrographic Feature Extraction from High-Resolution LiDAR Data

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