TY - JOUR
T1 - Permanent terrestrial laser scanning for near-continuous environmental observations
T2 - Systems, methods, challenges and applications
AU - Lindenbergh, Roderik
AU - Anders, Katharina
AU - Campos, Mariana
AU - Czerwonka-Schröder, Daniel
AU - Höfle, Bernhard
AU - Kuschnerus, Mieke
AU - Puttonen, Eetu
AU - Prinz, Rainer
AU - Rutzinger, Martin
AU - Voordendag, Annelies
AU - Vos, Sander
PY - 2025
Y1 - 2025
N2 - Many topographic scenes exhibit complex dynamic behavior that is difficult to map, quantify, predict and understand. A terrestrial laser scanner fixed on a permanent position can be used to monitor such scenes in an automated way with centimeter to decimeter quality at ranges of up to several kilometers. Laser scanners are active sensors, and are therefore able to continue operation during night. Their independence from texture conditions ensures that in principle they provide stable range measurements for varying surface conditions. Recent years have seen a strong increase in the employment of such systems for different scientific applications in geosciences, environmental and ecological sciences, including forestry, glaciology, and geomorphology. At the same time, this employment resulted in a new type of 4D topographic data sets (3D point clouds + time) with a significant temporal dimension, as systems are now able to acquire thousands of consecutive epochs in a row. Extracting information from these 4D data sets turns out to be challenging, first, because of insufficient knowledge on error budget and correlations, and, second, because of lack of algorithms, benchmarks, and best-practice workflows. This paper provides an overview of different 4D systems for near-continuous laser scanning, and discusses systematic challenges including instability of the sensor system, meteorological and atmospheric influences, and data alignment, before discussing recently developed methods and scientific software for extracting and parameterizing changes from 4D topographic data sets, in connection to the different applications.
AB - Many topographic scenes exhibit complex dynamic behavior that is difficult to map, quantify, predict and understand. A terrestrial laser scanner fixed on a permanent position can be used to monitor such scenes in an automated way with centimeter to decimeter quality at ranges of up to several kilometers. Laser scanners are active sensors, and are therefore able to continue operation during night. Their independence from texture conditions ensures that in principle they provide stable range measurements for varying surface conditions. Recent years have seen a strong increase in the employment of such systems for different scientific applications in geosciences, environmental and ecological sciences, including forestry, glaciology, and geomorphology. At the same time, this employment resulted in a new type of 4D topographic data sets (3D point clouds + time) with a significant temporal dimension, as systems are now able to acquire thousands of consecutive epochs in a row. Extracting information from these 4D data sets turns out to be challenging, first, because of insufficient knowledge on error budget and correlations, and, second, because of lack of algorithms, benchmarks, and best-practice workflows. This paper provides an overview of different 4D systems for near-continuous laser scanning, and discusses systematic challenges including instability of the sensor system, meteorological and atmospheric influences, and data alignment, before discussing recently developed methods and scientific software for extracting and parameterizing changes from 4D topographic data sets, in connection to the different applications.
KW - 4D
KW - Change analysis
KW - Continuous measurements
KW - Terrestrial laser scanner
KW - Time series
KW - Topographic monitoring
UR - http://www.scopus.com/inward/record.url?scp=105010302162&partnerID=8YFLogxK
U2 - 10.1016/j.ophoto.2025.100094
DO - 10.1016/j.ophoto.2025.100094
M3 - Review article
AN - SCOPUS:105010302162
SN - 2667-3932
VL - 17
JO - ISPRS Open Journal of Photogrammetry and Remote Sensing
JF - ISPRS Open Journal of Photogrammetry and Remote Sensing
M1 - 100094
ER -