Projects per year
Abstract
LiDAR (Light Detection and Ranging) is a remote sensing technology that uses light in the form of pulses to measure the range between a sensor and the Earth’s surface. Recent increase in availability of airborne LiDAR scanning (ALS) data providing national coverage with high point densities has opened a wide range of possibilities for monitoring landscape elements and their changes at broad geographical extent. We assessed the dynamics of the spatial extent of non-forest woody vegetation (NFW) in a study area of approx. 2500 km 2 in southern Jutland, Denmark, based on two acquisitions of ALS data for 2006 and 2014 in combination with other spatial data. Our results show a net-increase (4.8%) in the total area of NFW. Furthermore, this net change comprises of both areas with a decrease and areas with an increase of NFW. An accuracy assessment based on visual interpretation of aerial photos indicates high accuracy (>95%) in the delineation of NFW without changes during the study period. For NFW that changed between 2006 and 2014, accuracies were lower (90 and 82% in removed and new features, respectively), which is probably due to lower point densities of the 2006 ALS data (0.5 pts./m 2) compared to the 2014 data (4–5 pts./m 2). We conclude that ALS data, if combined with other spatial data, in principle are highly suitable for detailed assessment of changes in landscape features, such as formations of NFW at broad geographical extent. However, in change assessment based on multi-temporal ALS data with different point densities errors occur, particularly when examining small or narrow NFW objects.
Original language | English |
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Article number | 437 |
Journal | Environmental Monitoring and Assessment |
Volume | 189 |
Issue | 9 |
Pages (from-to) | 437 |
ISSN | 0167-6369 |
DOIs | |
Publication status | Published - 1 Sept 2017 |
Keywords
- Airborne laser scanning
- GIS
- Land use
- Non-forest woody vegetation
- Remote sensing
Fingerprint
Dive into the research topics of 'Assessment of changes in formations of non-forest woody vegetation in southern Denmark based on airborne LiDAR'. Together they form a unique fingerprint.Projects
- 2 Finished
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Exploration of LiDAR data for environmental and nature monitoring and assessment
Levin, G. (Project manager), Bøcher, P. K. (Participant), Groom, G. B. (Participant), Becker, T. (Participant), Angelidis, I. (Participant), Larsen, N. K. (Participant), Piotrowski, J. A. (Participant) & Malinowski, R. (Participant)
01/09/2015 → 31/12/2016
Project: Research
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Development and validation of model for carbon in hedgerows and small biotopes and verification for 2015/2016
Levin, G. (Project manager) & Angelidis, I. (Participant)
01/01/2014 → 30/06/2018
Project: Research