2018
DOI: 10.3390/rs10020164
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Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes

Abstract: Mountain ecosystems are among the most fragile environments on Earth. The availability of timely updated information on forest 3D structure would improve our understanding of the dynamic and impact of recent disturbance and regeneration events including fire, insect damage, and drought. Airborne lidar is a critical tool for monitoring forest change at high resolution but it has been little used for this purpose due to the scarcity of long-term time-series of measurements over a common region. Here, we investig… Show more

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Cited by 17 publications
(8 citation statements)
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“…As we were flying during wind-free conditions and when the snow intercepted in the tree branches was limited, the trees were stable features within all the acquisitions. The points corresponding to the branches and the treetops were therefore used for applying different feature-based 3D registration algorithms: point-to-point manual alignment, ICP algorithm, and 3D transformation proposed by Ferraz et al (2018) were applied to our data. The first two point-based methods did not identify pairing points in the trees (more details in section 3).…”
Section: Snow Mapping Over the Steep Forested Terrainmentioning
confidence: 99%
See 1 more Smart Citation
“…As we were flying during wind-free conditions and when the snow intercepted in the tree branches was limited, the trees were stable features within all the acquisitions. The points corresponding to the branches and the treetops were therefore used for applying different feature-based 3D registration algorithms: point-to-point manual alignment, ICP algorithm, and 3D transformation proposed by Ferraz et al (2018) were applied to our data. The first two point-based methods did not identify pairing points in the trees (more details in section 3).…”
Section: Snow Mapping Over the Steep Forested Terrainmentioning
confidence: 99%
“…The first two point-based methods did not identify pairing points in the trees (more details in section 3). Alternatively, we used the registration workflow proposed by Ferraz et al, (2018). Since this is a registration methodology based on the treetop positions within the scans that need to be registered, we first had to segment the treetops.…”
Section: Snow Mapping Over the Steep Forested Terrainmentioning
confidence: 99%
“…Over the last decades, optical remote sensing techniques have been used for monitoring forest changes at regional scales with the support of field surveys (e.g., [4,5]). However, airborne laser scanning (ALS) is better adapted to characterize forest structure [6] and estimate forest inventory parameters, providing accurate information to perform forest management and planning [3]. Furthermore, costs of ALS-based inventories are comparable to those associated with traditional ground-based ones [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, costs of ALS-based inventories are comparable to those associated with traditional ground-based ones [7,8]. Despite the great potential of this technology, multi-temporal ALS data have been utilized less, as the availability of two or more surveys in the same area has been limited by acquisition costs as well as by the need of temporal-concomitant field data (e.g., [3,6,9,10]). Recently, organizations, companies, and countries have made an effort to gather multi-temporal datasets in different years (e.g., [11][12][13]) allowing the estimation of biophysical properties in forested areas over time.…”
Section: Introductionmentioning
confidence: 99%
“…The basin is a snow-dominated system where 80-90% of the precipitation input from the mid to high elevations (2100-4000 m) occurs during the winter months and is stored as snow until the melt season when streamflow peaks (Rice et al, 2011). The lowest elevation in the basin is at 1150 m, just above California's Central Valley floor, and extends to the crest of the Sierra at 4000 m. The tree line is near 2900 m and the predominant forest cover is firs and pines (Hedrick et al, 2018;Ferraz et al, 2018).…”
Section: Study Areamentioning
confidence: 99%