Icesat lidar and global digital elevation models: applications to desdyni

Carabajal, C. C.; Harding, David J.; Suchdeo, V. P.

doi:10.1109/igarss.2010.5650201

Cited by 10 publications

(12 citation statements)

References 7 publications

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“…Many criteria have been adopted when selecting GLAS data as control points (Huber et al., ; Carabajal et al., ; Gonzalez et al., ). In this study, GLAS data was chosen by the received waveform from GLA01 and the fitting parameters from GLA14, such as the number of Gaussian functions N p and the fitting standard deviation σ m .…”

Section: Methodsmentioning

confidence: 99%

“…where w(t) is the amplitude of a GLAS waveform at time t; N p is the number of Gaussian functions identified in the GLAS waveform, which is correlated with the complexity of terrain or vegetation in the footprint; W m is the mth Gaussian function; A m is the amplitude of the mth Gaussian function; ɛ is the bias (or noise level) of the waveform; and t m and r m are the peak position and standard deviation of the mth Gaussian function, respectively. Many criteria have been adopted when selecting GLAS data as control points (Huber et al, 2009;Carabajal et al, 2010;Gonzalez et al, 2010). In this study, GLAS data was chosen by the received waveform from GLA01 and the fitting parameters from GLA14, such as the number of Gaussian functions N p and the fitting standard deviation r m .…”

Section: Derivation Of the Height Control Points From Glas Full Waveformmentioning

confidence: 99%

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ZY‐3 Block adjustment supported by glas laser altimetry data

Tang

Gao

et al. 2016

The Photogrammetric Record

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ZY‐3 is the first Chinese civilian high‐resolution stereo‐mapping satellite, designed for 1:50 000 scale mapping. Although ZY‐3 has a very high accuracy for direct image geolocation without ground control points (GCPs), the use of some GCPs is still indispensable for stereo mapping. A novel method is proposed whereby spaceborne Geoscience Laser Altimeter System (GLAS) laser altimetry datasets are viewed as generalised height control points to support a ZY‐3 block adjustment. This method separates planimetric and height control, integrating the latter with GLAS data such that, without other GCPs, the vertical accuracy of ZY‐3 images can be improved significantly. Both flat and mountainous terrain were selected to evaluate the proposed method. The results show that by adding two GLAS height control points for a single image, or spaced every 50 km in the along‐track (orbital) direction for block images, the vertical accuracy can satisfy the requirements of 1:50 000 scale mapping, thus reducing the need for field surveying. Additionally, the method will be valuable for integrating spaceborne laser altimetry data and optical images for global mapping without any GCPs.

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Section: Methodsmentioning

confidence: 99%

Section: Derivation Of the Height Control Points From Glas Full Waveformmentioning

confidence: 99%

ZY‐3 Block adjustment supported by glas laser altimetry data

Tang

Gao

et al. 2016

The Photogrammetric Record

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“…These criteria have been documented in Carabajal et al (2010 and. We select waveforms with widths from signal start to end of less than 5 m, indicating the within-footprint relief is low.…”

Section: Icesat Data As Geodetic Controlmentioning

confidence: 99%

“…This database of ICESat GCPs have been previously used to characterize and quantify spatially varying elevation biases in Digital Elevation Models (DEMs), assessing the accuracy of valuable topographic datasets like GMTED2010 (Global Multiresolution Terrain Elevation Data), developed by the USGS (United States Geological Survey) and NGA (National Geospatial-Intelligence Agency), and previously those produced by sensors like the Shuttle Radar Topography Mission (SRTM) Carabajal et al, 2010), and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) (ASTER Validation Team 2009 and. In this study, we have analysed the error statistics for the latest version of ASTER Global Digital Elevation Map GDEM V3.…”

Section: Icesat Data As Geodetic Controlmentioning

confidence: 99%

Evaluation of Aster Gdem V3 Using Icesat Laser Altimetry

Carabajal

Boy

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:We have used a set of Ground Control Points (GCPs) derived from altimetry measurements from the Ice, Cloud and land Elevation Satellite (ICESat) to evaluate the quality of the 30 m posting ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) Global Digital Elevation Model (GDEM) V3 elevation products produced by NASA/METI for Greenland and Antarctica. These data represent the highest quality globally distributed altimetry measurements that can be used for geodetic ground control, selected by applying rigorous editing criteria, useful at high latitudes, where other topographic control is scarce. Even if large outliers still remain in all ASTER GDEM V3 data for both, Greenland and Antarctica, they are significantly reduced when editing ASTER by number of scenes (N≥5) included in the elevation processing. For 667,354 GCPs in Greenland, differences show a mean of 13.74 m, a median of -6.37 m, with an RMSE of 109.65 m. For Antarctica, 6,976,703 GCPs show a mean of 0.41 m, with a median of -4.66 m, and a 54.85 m RMSE, displaying smaller means, similar medians, and less scatter than GDEM V2. Mean and median differences between ASTER and ICESat are lower than 10 m, and RMSEs lower than 10 m for Greenland, and 20 m for Antarctica when only 9 to 31 scenes are included.

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“…Spaceborne LFL is attractive to scientists and policy makers because of its ability to measure forest biomass at the global scale. ICESat 2 is currently being planned for launch in early 2016, and next generation spaceborne lidar systems will have smaller footprint size and increased density of measurements on the ground [14,15].…”

mentioning

confidence: 99%

Application of Semi-Automated Filter to Improve Waveform Lidar Sub-Canopy Elevation Model

et al. 2012

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Abstract:Modeling sub-canopy elevation is an important step in the processing of waveform lidar data to measure three dimensional forest structure. Here, we present a methodology based on high resolution discrete-return lidar (DRL) to correct the ground elevation derived from large-footprint Laser Vegetation Imaging Sensor (LVIS) and to improve measurement of forest structure. We use data acquired over Barro Colorado Island, Panama by LVIS large-footprint lidar (LFL) in 1998 and DRL in 2009. The study found an average vertical difference of 28.7 cm between 98,040 LVIS last-return points and the discrete-return lidar ground surface across the island. The majority (82.3%) of all LVIS points matched discrete return elevations to 2 m or less. Using a multi-step process, the LVIS last-return data is filtered using an iterative approach, expanding window filter to identify outlier points which are not part of the ground surface, as well as applying vertical corrections based on terrain slope within the individual LVIS footprints. The results of the experiment demonstrate that LFL ground surfaces can be effectively filtered using methods adapted from discrete-return lidar point filtering, reducing the average vertical error by 15 cm and reducing the variance in LVIS last-return data by 70 cm. The filters also reduced the largest vertical estimations caused by sensor saturation in the upper reaches of the forest canopy by 14.35 m, which improve forest canopy structure measurement by increasing accuracy in the sub-canopy digital elevation model.

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Icesat lidar and global digital elevation models: applications to desdyni

Cited by 10 publications

References 7 publications

ZY‐3 Block adjustment supported by glas laser altimetry data

ZY‐3 Block adjustment supported by glas laser altimetry data

Evaluation of Aster Gdem V3 Using Icesat Laser Altimetry

Application of Semi-Automated Filter to Improve Waveform Lidar Sub-Canopy Elevation Model

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