Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey

Article Biodiversity Conservation

Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds

Zsofia Koma et al.

Summary: This study aims to assess the predictive ability of metrics derived from different types of high-resolution remote sensing (RS) products for the habitat suitability of wetland birds. The results show that ALS and Sentinel metrics improve the accuracy of species distribution models (SDMs) for wetland bird species by 11% and 10% of the area under curve (AUC) respectively. The importance of different RS products varies among species.

DIVERSITY AND DISTRIBUTIONS (2022)

添加到收藏夹

Article Ecology

Laserfarm - A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds

W. Daniel Kissling et al.

Summary: Quantifying ecosystem structure is crucial for ecology, conservation, and biodiversity monitoring. This study presents a workflow called 'Laserfarm' that efficiently processes multi-terabyte LiDAR point clouds, providing geospatial data products of ecosystem structure. The Laserfarm workflow is scalable and can be deployed on distributed computing infrastructures.

ECOLOGICAL INFORMATICS (2022)

添加到收藏夹

Article Ecology

Classifying wetland-related land cover types and habitats using fine-scale lidar metrics derived from country-wide Airborne Laser Scanning

Zsofia Koma et al.

Summary: Mapping 3D vegetation structure in wetlands using country-wide ALS data is important for conservation and monitoring. A new workflow was developed to classify wetland-related land cover types and habitats using fine-scale lidar metrics derived from country-wide ALS data.

REMOTE SENSING IN ECOLOGY AND CONSERVATION (2021)

添加到收藏夹

Article Biodiversity Conservation

Identifying fine-scale habitat preferences of threatened butterflies using airborne laser scanning

Jan Peter Reinier de Vries et al.

Summary: This study used LiDAR technology and machine learning algorithms to analyze the habitat preferences of threatened butterflies across the Netherlands. The results showed that the vertical variability and horizontal heterogeneity of vegetation structure are key determinants of butterfly species distributions, especially in low-stature vegetation environments.

DIVERSITY AND DISTRIBUTIONS (2021)

添加到收藏夹

Article Biodiversity Conservation

Niche separation of wetland birds revealed from airborne laser scanning

Zsofia Koma et al.

Summary: By using country-wide airborne laser scanning data in combination with bird observations, researchers were able to quantify niche filling, overlap, and separation of wetland bird species in the Netherlands. The study found that different bird species occupied wetland habitat space in distinct ways, with varying degrees of niche overlap and filling. The results demonstrate the importance of incorporating fine-scale 3D habitat preferences into ecological niche analyses for biodiversity conservation efforts.

ECOGRAPHY (2021)

添加到收藏夹

Review Ecology