Developing 5 m resolution canopy height and digital terrain models from WorldView and ArcticDEM data

Meddens, Arjan J. H.; Vierling, Lee A.; Eitel, Jan U. H.; Jennewein, Jyoti S.; White, Joanne C.; Wulder, Michael A.

doi:10.1016/j.rse.2018.09.010

Cited by 23 publications

(10 citation statements)

References 40 publications

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“…Most optical remote sensing systems could provide images of the horizontal distribution of ground topography, and the product generally follows the uppermost surface elevation (i.e., representing a digital surface model, DSM). However, the optical remote sensing images do not provide detailed information on the vertical distribution of ground topography in forested terrain, without regard to whether the surface is comprised of forest or not [5,6,47]. In contrast, the LiDAR photon counting signature from ICESat-2/ATLAS could provide a direct depiction for ground topography in forested terrain.…”

Section: Retrieved Ground Topography In Forested Terrain Elevation With Atlasmentioning

confidence: 99%

Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain

et al. 2020

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As a continuation of Ice, Cloud, and Land Elevation Satellite-1 (ICESat-1), the ICESat-2/Advanced Topographic Laser Altimeter System (ATLAS) employs a micro-pulse multi-beam photon counting approach to produce photon data for measuring global terrain. Few studies have assessed the accuracy of different ATLAS channels in retrieving ground topography in forested terrain. This study aims to assess the accuracy of measuring ground topography in forested terrain using different ATLAS channels and the correlation between laser intensity parameters, laser pointing angle parameters, and elevation error. The accuracy of ground topography measured by the ATLAS footprints is evaluated by comparing the derived Digital Terrain Model (DTM) from the ATL03 (Global Geolocated Photon Data) and ATL08 (Land and Vegetation Height) products with that from the airborne Light Detection And Ranging (LiDAR). Results show that the ATLAS product performed well in the study area at all laser intensities and laser pointing angles, and correlations were found between the ATLAS DTM and airborne LiDAR DTM (coefficient of determination––R2 = 1.00, root mean squared error––RMSE = 0.75 m). Considering different laser intensities, there is a significant correlation between the tx_pulse_energy parameter and elevation error. With different laser pointing angles, there is no significant correlation between the tx_pulse_skew_est, tx_pulse_width_lower, tx_pulse_width_upper parameters and the elevation error.

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Section: Retrieved Ground Topography In Forested Terrain Elevation With Atlasmentioning

confidence: 99%

Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain

et al. 2020

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“…Canopy cover, for example, has been assessed using medium-to high-resolution remote sensing platforms, such as Landsat [23,24], Sentinel-1 [25], and Sentinel-2 [26]. High spatial resolution canopy height models could be derived using images, such as GeoEye and Worldview-3 combined with a digital elevation model [27], and density of trees could potentially be obtained from photos taken from drones [28,29]. If such variables correlate strongly with AGB, then they could substitute for physical measurements of tree diameters in the calculation of emissions.…”

Section: Introductionmentioning

confidence: 99%

Identifying Variables to Discriminate between Conserved and Degraded Forest and to Quantify the Differences in Biomass

Gao

Skutsch

Rodríguez

et al. 2020

Forests

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The purpose of this work was to determine which structural variables present statistically significant differences between degraded and conserved tropical dry forest through a statistical study of forest survey data. The forest survey was carried out in a tropical dry forest in the watershed of the River Ayuquila, Jalisco state, Mexico between May and June of 2019, when data were collected in 36 plots of 500 m2. The sample was designed to include tropical dry forests in two conditions: degraded and conserved. In each plot, data collected included diameter at breast height, tree height, number of trees, number of branches, canopy cover, basal area, and aboveground biomass. Using the Wilcoxon signed-rank test, we show that there are significant differences in canopy cover, tree height, basal area, and aboveground biomass between degraded and conserved tropical dry forest. Among these structural variables, canopy cover and mean height separate conserved and degraded forests with the highest accuracy (both at 80.7%). We also tested which variables best correlate with aboveground biomass, with a view to determining how carbon loss in degraded forest can be quantified at a larger scale using remote sensing. We found that canopy cover, tree height, and density of trees all show good correlation with biomass and these variables could be used to estimate changes in biomass stocks in degraded forests. The results of our analysis will help to increase the accuracy in estimating aboveground biomass, contribute to the ongoing work on REDD+, and help to reduce the great uncertainty in estimation of emissions from forest degradation.

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“…This is a relatively new product provided by the National Science Foundation (NSF) and the US National Geospatial-Intelligence Agency (NGA), which has been produced since 2015. The dataset is constructed by combining in-track and crosstrack high-resolution (about 0.5 m) imagery acquired using the DigitalGlobe constellation of stereoscopic optical imaging satellites, and including WorldView-1, WorldView-2, WorldView-3, and GeoEye (Meddens et al, 2018). It is created using Surface Extraction with the TIN-based Search-space Minimization (SETSM) algorithm (Noh and Howat, 2015).…”

Section: Geolocalisation and Uncertainty Of Ground Truth Modelmentioning

confidence: 99%

“…However, our own experiments and the results reported in Błaszczyk et al (2019) both suggest that the 2 m day stamped strips are often wrongly aligned and prone to artefacts. These artefacts are usually 3D representations of cloud cover or random 'tower'shaped elements (Crosby, 2016;Meddens et al, 2018). Moreover, the artefacts are hard to recognise in raster format due to a lack of corresponding texture, but become obvious after export to a point cloud format.…”

Section: Geolocalisation and Uncertainty Of Ground Truth Modelmentioning

confidence: 99%

Unravelling the long-term, locally-heterogenous response of Greenland glaciers observed in archival photography

Cooper

Lewińska

Smith

et al. 2021

Preprint

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Abstract. We present an approach for extracting quantifiable information from archival aerial photographs to extend the temporal record of change over a region of the central eastern Greenland Ice Sheet. The photographs we use were gathered in the 1930s as part of a surveying expedition, and so they were not acquired with photogrametric analysis in mind. Nevertheless, we are able to make opportunistic use of this imagery, as well as additional, novel data-sets, to explore changes at ice margins well before the advent of conventional satellite technology. The insights that a longer record of ice margin change bring is crucial for improving our understanding of how glaciers are responding to the changing climate. In addition, our work focuses on a series of relatively small and little studied outlet glaciers from the eastern margin of the Ice Sheet. We show that whilst air and sea surface temperatures are important controls on the rates at which these ice masses change, there is also significant heterogeneity in their responses, with non-climatic controls (such as the role of bathymetry in front of calving margins) being extremely important. In general, there is often a tendency to focus either on changes of the Greenland Ice Sheet as a whole, or to focus on regional variations. Here, we suggest that even this approach masks important variability, and full understanding of the behaviour and response of the Ice Sheet requires us to consider changes that are taking place at the scale of individual outlet glaciers.

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Developing 5 m resolution canopy height and digital terrain models from WorldView and ArcticDEM data

Cited by 23 publications

References 40 publications

Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain

Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain

Identifying Variables to Discriminate between Conserved and Degraded Forest and to Quantify the Differences in Biomass

Unravelling the long-term, locally-heterogenous response of Greenland glaciers observed in archival photography

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Developing 5 m resolution canopy height and digital terrain models from WorldView and ArcticDEM data

Cited by 23 publications

References 40 publications

Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain

Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain

Identifying Variables to Discriminate between Conserved and Degraded Forest and to Quantify the Differences in Biomass

Unravelling the long-term, locally-heterogenous response of Greenland glaciers observed in archival photography

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Resources

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Developing 5 m resolution canopy height and digital terrain models from WorldView and ArcticDEM data