ICESat/GLAS Data as a Measurement Tool for Peatland Topography and Peat Swamp Forest Biomass in Kalimantan, Indonesia

Ballhorn, Uwe; Jubanski, Juilson; Siegert, Florian

doi:10.3390/rs3091957

Cited by 44 publications

(29 citation statements)

References 36 publications

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“…Similarly, Hudak et al [45] used LiDAR measurements with significant differences in point densities and found out that different point densities do not affect AGB estimations if LiDAR measurements were independently analyzed. Previous studies revealed that the centroid height is an appropriate height parameter of the LiDAR point cloud to estimate AGB in tropical forests taking also the point distribution over the different vegetation layers into account [27][28][29]. It was therefore used in this study to estimate AGB and its changes.…”

Section: Biomass Estimationmentioning

confidence: 99%

“…Many studies have demonstrated the great potential of airborne LiDAR to precisely predict AGB in tropical forests [24][25][26] whereby only few studies have been conducted in the special ecosystem of peat swamp forests [27][28][29][30][31]. Different point cloud statistics of the vegetation height and canopy cover were tested for their performance to predict AGB in peat swamp forests using linear, multiple linear and power functions.…”

Section: Introductionmentioning

confidence: 99%

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Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets

2013

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Tropical peat swamp forests in Indonesia store huge amounts of carbon and are responsible for enormous carbon emissions every year due to forest degradation and deforestation. These forest areas are in the focus of REDD+ (reducing emissions from deforestation, forest degradation, and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks) projects, which require an accurate monitoring of their carbon stocks or aboveground biomass (AGB). Our study objective was to evaluate multi-temporal LiDAR measurements of a tropical forested peatland area in Central Kalimantan on Borneo. Canopy height and AGB dynamics were quantified with a special focus on unaffected, selective logged and burned forests. More than 11,000 ha were surveyed with airborne LiDAR in 2007 and 2011. In a first step, the comparability of these datasets was examined and canopy height models were created. Novel AGB regression models were developed on the basis of field inventory measurements and LiDAR derived height

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Section: Biomass Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets

2013

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“…The system was originally designed for ice-sheet measurements and thus the footprint size is actually not optimal for vegetation applications. However, several studies could also demonstrate the potential of GLAS data to characterize forest structure (e.g., [11][12][13][14][15]). A big research question is related to surface topography, because many forests are located in areas with steep slopes and high surface roughness and the GLAS system is very sensitive to surface topography due to its large footprint.…”

Section: Introductionmentioning

confidence: 99%

Influence of Surface Topography on ICESat/GLAS Forest Height Estimation and Waveform Shape

Hilbert

Schmullius

2012

Remote Sensing

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This study explores ICESat/GLAS waveform data in Thuringian Forest, a low mountain range located in central Germany. Lidar remote sensing has been proven to directly derive tree height as a key variable of forest structure. The GLAS signal is, however, very sensitive to surface topography because of the large footprint size. This study therefore focuses on forests in a mountainous area to assess the potential of GLAS data to derive terrain elevation and tree height. The work enhances the empirical knowledge about the interaction between GLAS waveform and landscape structure regarding a special temperate forest site with a complex terrain. An algorithm to retrieve tree height directly from GLA01 waveform data is proposed and compared to an approach using GLA14 Gaussian parameters. The results revealed that GLAS height estimates were accurate for areas with a slope up to 10° whereas waveforms of areas above 15° were problematic. Slopes between 10-15° have been found to be a critical crossover. Further, different waveform shape types and landscape structure classes were developed as a new possibility to explore the waveform in its whole structure. Based on the detailed analysis of some waveform examples, it could be demonstrated that the waveform shape can be regarded as a product of the complex interaction between surface and canopy structure. Consequently, there is a great variety of waveform shapes which in turn considerably hampers GLAS tree height extraction in areas with steep slopes and complex forest conditions.

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“…The ISS is the first candidate, since there are most resources (e.g., enough energy supply) available onboard. The second one is the ICESat, because the onboard GLAS lidar was already used for some forest studies [68][69][70][73][74][75]. The SPOT (Satellite for observation of Earth) could be another candidate, but its altitude (832 km) is too high for lidar measurements.…”

Section: Orbit Simulationmentioning

confidence: 99%

End-to-End Simulation for a Forest-Dedicated Full-Waveform Lidar Onboard a Satellite Initialized from Airborne Ultraviolet Lidar Experiments

Shang

Chazette

2015

Remote Sensing

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Abstract:In order to study forests at the global scale, a detailed link budget for a lidar system onboard satellite is presented. It is based on an original approach coupling airborne lidar observations and an end-to-end simulator. The simulator is initialized by airborne lidar measurements performed over temperate and tropical forests on the French territory, representing a wide range of forests ecosystems. Considering two complementary wavelengths of 355 and 1064 nm, the end-to-end simulator computes the performance of spaceborne lidar systems for different orbits. The analysis is based on forest structural (tree top height, quadratic mean canopy height) and optical (forest optical thickness) parameters. Although an ultraviolet lidar appears to be a good candidate for airborne measurements, our results show that the limited energy is not favorable for spaceborne missions with such a wavelength. A near infrared wavelength at 1064 nm is preferable, requiring ~100 mJ laser emitted energy, which is in agreement with current and future spaceborne missions involving a lidar. We find that the signal-to-noise ratio at the ground level to extract both the structural and optical parameters of forests must be larger than 10. Hence, considering the presence of clouds and aerosols in the atmosphere and assuming a stationary forest, a good detection probability of 99% can be reached when 4 or 5 satellite revisits are considered for a lidar system onboard the ISS or ICESat, respectively. This concerns ~90% of forest covers observed from the lidar, which have an optical thickness less than 3. OPEN ACCESSRemote Sens. 2015, 7 5223

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ICESat/GLAS Data as a Measurement Tool for Peatland Topography and Peat Swamp Forest Biomass in Kalimantan, Indonesia

Cited by 44 publications

References 36 publications

Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets

Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets

Influence of Surface Topography on ICESat/GLAS Forest Height Estimation and Waveform Shape

End-to-End Simulation for a Forest-Dedicated Full-Waveform Lidar Onboard a Satellite Initialized from Airborne Ultraviolet Lidar Experiments

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