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Assessment of Errors Caused by Forest Vegetation Structure in Airborne LiDAR-Derived DTMs
2017
Remote Sensing
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In the presence of leaf-on vegetation, DTM accuracy is severely reduced, with low-stature undergrowth vegetation (such as ferns) causing the greatest errors (RMSE > 1 m). ...
Using the leaf-on LiDAR dataset we quantitatively assess vertical vegetation structure, and use this as a categorical explanatory variable for DTM accuracy. ...
The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. ...
doi:10.3390/rs9111101
fatcat:24vlcwynlbcqrhm5afqjh4apca
AN IMPROVED PROGRESSIVE MORPHOLOGICAL FILTERING ALGORITHM BASED ON SPATIALLY-DISTRIBUTED SLOPE VALUE OVER TROPICAL VEGETATED REGIONS
2015
Jurnal Teknologi
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The results show that both data used for slope map generation have decreasing pattern of DTM error with increasing in filtering iteration. ...
The slope map is either generated from field collected elevation data or ground point obtained from initial filtering of airborne LiDAR data. ...
Accuracy Assessment of LiDAR-derived DTM For the assessment purpose, the DTM generated from LiDAR ground points is assessed by using Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Bias calculation ...
doi:10.11113/jt.v77.6866
fatcat:hafezregzrfpbibnzjyvc76tfa
Airborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+
2015
Carbon Balance and Management
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Results: We compared digital terrain models (DTM) derived from airborne lidar data from a mountainous region of the Atlantic Forest in Brazil to 35 ground control points measured with survey grade GNSS ...
Airborne lidar remote sensing is a powerful tool for estimating aboveground biomass, provided that lidar measurements penetrate dense forest vegetation to generate accurate estimates of surface topography ...
Lidar-derived canopy height The results of this study illustrate how errors in DTM accuracy propagate into estimates of forest canopy structure. ...
doi:10.1186/s13021-015-0013-x
pmid:25685178
pmcid:PMC4320300
fatcat:6oq6nfe54fbk3mkqp7ayml53ca
Accuracy Assessment of Digital Terrain Model Dataset Sources for Hydrogeomorphological Modelling in Small Mediterranean Catchments
2018
Remote Sensing
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Global Digital Elevation Map (ASTER GDEM V2), and two nationwide airborne light detection and ranging (LiDAR)-derived DTMs (at 5-m and 1-m spatial resolution, respectively) were analysed in three geomorphologically ...
Digital terrain models (DTMs) are a fundamental source of information in Earth sciences. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs10122014
fatcat:xrlarhrifrdt7pv6pexbjfxuyq
Tropical Peatland Burn Depth and Combustion Heterogeneity Assessed Using UAV Photogrammetry and Airborne LiDAR
2016
Remote Sensing
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cost of airborne LiDAR-albeit over limited sized areas at present. ...
However, the Depth of Burn (DoB) of these 2015 fires has not been assessed, and indeed has only previously been assessed in few tropical peatland burns in Kalimantan. ...
The pre-burn LiDAR data and orthophotos used herein were obtained from a survey funded by Asia Pulp and Paper Group. ...
doi:10.3390/rs8121000
fatcat:j7adn3um7vgnbkj2yfyeeeswjq
Airborne laser scanning for terrain modeling in the Amazon forest
2018
Acta Amazonica
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The DTM from resampled clouds was compared with the reference DTM produced from the original LiDAR data by calculating the deviation pixel by pixel and summarizing it through the root mean square error ...
DTM has a special and important role when airborne laser scanning is used to estimate vegetation biomass. ...
Root mean square error (RMSE) of digital terrain models (DTMs) derived from resampling of originally acquired airborne LiDAR data at different pulse densities (20, 15, 10, 8, 6, 4, 2, 1, 0.75, 0 .5 and ...
doi:10.1590/1809-4392201800132
fatcat:wo4l7tfucbf5td3xxkl65ryas4
Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR
2014
Remote Sensing
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We found the following in three different forested regions of the US after excluding heterogeneous and disturbed forest samples: (1) G-LiHT DTMs were highly correlated with NED DTMs with R 2 > 0.98 and ...
At 1 m resolution, we here compared canopy height models (CHMs) and height data derived from Goddard's airborne LiDAR Hyper-spectral and Thermal Imager (G-LiHT) with three types of IKONOS stereo derived ...
These results decompose the error between DTM products to help clarify the cause of errors. ...
doi:10.3390/rs6031762
fatcat:2inxhj4af5bl3orxpnedtthvfq
Estimativa da altura dominante em povoamentos decíduos através de dados LIDAR com múltiplos retornos / Estimating dominant height in deciduous stands using multi-echo LIDAR data
2010
Ambiência
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No drastic effects of DTM, echo densities, or positioning errors were found in the models. ...
AbstractThe mean dominant heights of 120 georeferenced field sample plots (600m² each) were estimated from a range of canopy densities, distributions and local maxima metrics derived by a small-footprint ...
Assessing variability sources DTM DTM is mandatory to calculate vegetation height. ...
doaj:5e8310936d444adaad9ec99164729bfc
fatcat:qjjkpa3vevbwtf23fj3qjrw22a
Estimation of shrub biomass by airborne LiDAR data in small forest stands
2011
Forest Ecology and Management
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Airborne LiDAR (Light Detection And Ranging) has been used successfully in forestry to estimate dendrometric and dasometric variables that allow to characterize forest structure. ...
These results show the possibility of estimating shrub biomass in small areas when the density of LiDAR data is high and errors associated to the DTM are low. ...
This could be caused by the small difference in height between the canopy of vegetation and the ground. ...
doi:10.1016/j.foreco.2011.07.026
fatcat:bmukqhm3ybfrtlmu4oo6geqdv4
Lidar for Biomass Estimation
[chapter]
2011
Biomass - Detection, Production and Usage
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A previous work by Lefsky et al. (1999) presented the prediction of two forest structure attributes, crown size and aboveground biomass from Lidar data. ...
Airborne lidar is confirmed as the most ideal technology to obtain accurate CHM over large forested areas because of its high precision and its ability to receive ground returns over vegetated areas. ...
The Type II error induces some effects resulting from the fact that measured elevation values in Lidar data are replaced by interpolated values for DTM, which cause a zig-zag pattern in the DTM modeling ...
doi:10.5772/16919
fatcat:5ldjobm74vfwbdgkoxte272xti
Deriving and Evaluating City-Wide Vegetation Heights from a TanDEM-X DEM
2016
Remote Sensing
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Negative offsets are likely caused by X-band canopy penetrations. ...
For this, a TanDEM-X intermediate DEM, a LiDAR DTM, an UltraCamX vegetation layer, and a biotope map were included. ...
Costs to publish in open access were covered by the GIScience lab of Humboldt-Universität. ...
doi:10.3390/rs8110940
fatcat:fboootkec5fipid6lnlgg7ktsu
Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects
2015
Forests
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The most promising prospects for combining lidar and radar data are in the use of lidar-derived ground elevations for improving large-area biomass estimates from radar, and in upscaling of lidar-based ...
In this review, we summarize the studies combining lidar and radar in estimating forest AGB. We discuss the complementary use of lidar and radar according to the relevance of the added value. ...
Acknowledgments This study has been financially supported by the following: Academy of Finland projects: "New techniques in active remote sensing: hyperspectral laser in environmental change detection" ...
doi:10.3390/f6010252
fatcat:nzblpzhgknazretq3irtgklcfi
Validation of High-Density Airborne LiDAR-Based Feature Extraction Using Very High Resolution Optical Remote Sensing Data
2013
Advances in Remote Sensing
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The PAN-sharpened WV-2 image (with 0.5 m spatial resolution) used to assess the accuracy of LiDAR-based tree features provided an accuracy of 98%. ...
Based on these inferences, we conclude that the LiDAR-based tree feature extraction is a potential application which can be used for understanding vegetation characterization in urban setup. ...
A bare earth DEM/DTM, a DSM and an intensity image were derived from the raw airborne LiDAR data. ...
doi:10.4236/ars.2013.24033
fatcat:uw2bkd3gx5ah7loyujxof2scsu
Small-footprint lidar estimation of sub-canopy elevation and tree height in a tropical rain forest landscape
2004
Remote Sensing of Environment
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Lidar ground retrieval was complicated by dense, multi-layered evergreen canopy in old-growth forests, causing DTM overestimation that increased RMS error to 1.95 m. ...
On flatter slopes, variation in vegetation complexity associated with land use caused highly significant differences in DTM error distribution across the landscape. ...
OTS provided logistic support for the lidar data acquisition and support for the field component of this research. We would also like to thank Dr. ...
doi:10.1016/j.rse.2004.02.008
fatcat:54mvic7ufnahvnnuyttudrtf5a
TYPICAL APPLICATIONS OF AIRBORNE LIDAR TECHNOLAGY IN GEOLOGICAL INVESTIGATION
2018
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The technology of airborne light detection and ranging (LiDAR), also referred to as Airborne Laser Scanning, is widely used for high-resolution topographic data acquisition (even under forest cover) with ...
Based on the advantage of LiDAR, the authors mainly deal with the applications of LiDAR data to such fields as surface land collapse, landslide and fault structure extraction. ...
A prominent advantage of airborne LiDAR compared to photogrammetry is the ability to derive to penetrate vegetation by "seeing" through small gaps in the canopy, make it possible to derive accurate DTM ...
doi:10.5194/isprs-archives-xlii-3-2459-2018
fatcat:cmc66ypotfbwnid4nern5me5g4
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