Determination of Structural Characteristics of Old-Growth Forest in Ukraine Using Spaceborne LiDAR

Spracklen, Benedict D.; Spracklen, Dominick V.

doi:10.3390/rs13071233

Cited by 15 publications

(9 citation statements)

References 79 publications

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“…Due to the coarse spatial resolution of space-borne LiDAR systems, which are characterized by footprint diameters of several meters, they are of limited use for small-scale archaeological or cultural heritage issues [ 11 , 14 ] but are more suitable for large-scale applications in bathymetry [ 15 ] or forestry [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning

Storch

Jarmer

Adam

et al. 2021

Sensors

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In order to locate historical traces, drone-based Laserscanning has become increasingly popular in archaeological prospection and historical conflict landscapes research. The low resolution of aircraft-based Laserscanning is not suitable for small-scale detailed analysis so that high-resolution UAV-based LiDAR data are required. However, many of the existing studies lack a systematic approach to UAV-LiDAR data acquisition and point cloud filtering. We use this methodology to detect anthropogenic terrain anomalies. In this study, we systematically investigated different influencing factors on UAV-LiDAR data acquisition. The flight parameters speed and altitude above ground were systematically varied. In addition, different vegetation cover and seasonal acquisition times were compared, and we evaluated three different types of filter algorithms to separate ground from non-ground. It could be seen from our experiments that for the detection of subsurface anomalies in treeless open terrain, higher flight speeds like 6m/s were feasible. Regarding the flight altitude, we recommend an altitude of 50–75m above ground. At higher flight altitudes of 100–120m above ground, there is the risk that terrain characteristics smaller than 50cm will be missed. Areas covered with deciduous forest should only be surveyed during leaf-off season. In the presence of low-level vegetation (small bushes and shrubs with a height of up to 2m), it turned out that the morphological filter was the most suitable. In tree-covered areas with total absence of near ground vegetation, however, the choice of filter algorithm plays only a subordinate role, especially during winter where the resulting ground point densities have a percentage deviation of less than 6% from each other.

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Section: Introductionmentioning

confidence: 99%

Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning

Storch

Jarmer

Adam

et al. 2021

Sensors

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“…The reserve was mostly wooded at least until the 1600s (Macfarlane, 1908 in Steven & Carlisle, 1959) but has since been largely deforested, and now consists mostly of blanket bog and heathland. The Scottish Highlands as a whole are already experiencing the effects of rapid climate change, and Alladale is expected to have experienced warming temperatures and declining snow cover over the period considered (Spracklen & Spracklen, 2023).…”

Section: Methodsmentioning

confidence: 99%

Active management is required to regenerate the Caledonian forest: Alladale as a case study

Williams,

Sandom,

Pettorelli

2024

Ecol Sol and Evidence

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Passive approaches to nature recovery have been hailed as a low‐cost approach to boosting biodiversity in ecologically degraded sites. But there remains little evidence of whether this generalises to all climatic and ecological contexts. To address this knowledge gap, we used satellite remote sensing to examine vegetation change in Alladale Wilderness Reserve, a remote rewilding site in Scotland where active and passive approaches have simultaneously taken place for the past decades. In contrast to enclosures and tree planting, more passive approaches did not help regenerate the native Caledonian forest, failing to lead to structural or functional change within Alladale, relative to the wider landscape. Observed changes under both approaches were moreover much less dramatic than those reported for the Knepp Estate, another established rewilding site in Southern England. Our results suggest that passive rewilding is unlikely to promote significant biodiversity change in areas where recent human forcing of ecological processes has been limited, even if past human pressures have intensively reshaped the ecosystem—as seen in Alladale. In such situations, active interventions are likely to be required to shift the system onto a new ecological trajectory. Altogether, our study illustrates how freely available satellite data can (1) help contrast the impacts of environmental management approaches on ecosystem structure and functioning, in ways that complement existing ground‐based studies; and (2) help distinguish areas likely to benefit from passive nature recovery approaches from those where specific active interventions are needed.

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“…Although our models used both full power and coverage beam data, we recommend that future studies consider the beam-type data when investigating broadleaf forests. Topographical features are another secondary factor influencing GEDI Rh measurements [81]. However, we integrated topographic ancillary data from 2010 (GMTE-2010) in the predictor's dataset.…”

Section: Comparison Of Predicted Canopy Height Maps With Reference Ai...mentioning

confidence: 99%

High-Resolution Canopy Height Mapping: Integrating NASA’s Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data

Alvites,

O’Sullivan,

Francini

et al. 2024

Remote Sensing

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Accurate structural information about forests, including canopy heights and diameters, is crucial for quantifying tree volume, biomass, and carbon stocks, enabling effective forest ecosystem management, particularly in response to changing environmental conditions. Since late 2018, NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission has monitored global canopy structure using a satellite Light Detection and Ranging (LiDAR) instrument. While GEDI has collected billions of LiDAR shots across a near-global range (between 51.6°N and >51.6°S), their spatial distribution remains dispersed, posing challenges for achieving complete forest coverage. This study proposes and evaluates an approach that generates high-resolution canopy height maps by integrating GEDI data with Sentinel-1, Sentinel-2, and topographical ancillary data through three machine learning (ML) algorithms: random forests (RF), gradient tree boost (GB), and classification and regression trees (CART). To achieve this, the secondary aims included the following: (1) to assess the performance of three ML algorithms, RF, GB, and CART, in predicting canopy heights, (2) to evaluate the performance of our canopy height maps using reference canopy height from canopy height models (CHMs), and (3) to compare our canopy height maps with other two existing canopy height maps. RF and GB were the top-performing algorithms, achieving the best 13.32% and 16% root mean squared error for broadleaf and coniferous forests, respectively. Validation of the proposed approach revealed that the 100th and 98th percentile, followed by the average of the 75th, 90th, 95th, and 100th percentiles (AVG), were the most accurate GEDI metrics for predicting real canopy heights. Comparisons between predicted and reference CHMs demonstrated accurate predictions for coniferous stands (R-squared = 0.45, RMSE = 29.16%).

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Determination of Structural Characteristics of Old-Growth Forest in Ukraine Using Spaceborne LiDAR

Cited by 15 publications

References 79 publications

Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning

Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning

Active management is required to regenerate the Caledonian forest: Alladale as a case study

High-Resolution Canopy Height Mapping: Integrating NASA’s Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data

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