Lars T. Waser‬ - Concepedia

Author

Lars T. Waser‬

Swiss Federal Institute for Forest, Snow and Landscape Research ORCID

Also Known As

Haeni, Matthias, L. T. Waser, L. Waser, L.T. Waser, Lars T. Waser, Lars T Waser, Lars T. Waser, Lars T. Waser‬, Lars Waser, Waser, L. T.

104

Publications

3.3K

Citations

H-Index

Concepts

All Affiliations

Swiss Federal Institute for Forest, Snow and Landscape Research ETH Zurich Bavarian State Research Center for Agriculture University of Zurich Isfahan University of Technology

About

Lars T. Waser‬ is an author at Swiss Federal Institute for Forest, Snow and Landscape Research specializing in engineering, geography, and forestry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	21	30	2.5K
2	Social Sciences	15	21	1K
3	Data Science	8	8	268
4	Natural Sciences	1	1	163
5	Computer Science	1	1	41

Lars T. Waser‬

Publications

3.1K

Citations

H-Index

Page 1

	Year	Citations
Review of studies on tree species classification from remotely sensed data Fabian Ewald Fassnacht, Hooman Latifi, Krzysztof Stereńczak, Remote Sensing of Environment BiodiversityTree Species ClassificationEnvironmental MonitoringEngineeringForestry	2016	960
A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data Gherardo Chirici, Matteo Mura, Daniel McInerney, Remote Sensing of Environment Precision AgricultureEngineeringForest BiometricsLand UseForestry	2016	189
High‐quality image matching and automated generation of 3D tree models E. Baltsavias, A. Gruen, Henri Eisenbeiss, International Journal of Remote Sensing EngineeringForest BiometricsForestry3D ModelingImage Matching Technique	2008	163
Evaluating the Potential of WorldView-2 Data to Classify Tree Species and Different Levels of Ash Mortality Lars T. Waser‬, Meinrad Küchler, Kai Jütte, Remote Sensing BiodiversityForest HealthEnvironmental MonitoringEngineeringForest Biometrics	2014	154
Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data Lars T. Waser‬, Christian Ginzler, M. Kuechler, Remote Sensing of Environment Airborne Digital SensorEnvironmental MonitoringEngineeringForest InventoryBiogeography	2010	103
Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution Robin Engler, Lars T. Waser‬, Niklaus E. Zimmermann, Forest Ecology and Management BiodiversityEngineeringForest InventoryForest BiometricsBiogeography	2013	100
Rapid Detection of Windthrows Using Sentinel-1 C-Band SAR Data Marius Rüetschi, David Small, Lars T. Waser‬ Remote Sensing Environmental MonitoringEngineeringForestryTerrestrial SensingRapid Detection	2019	93
Potential of UltraCamX stereo images for estimating timber volume and basal area at the plot level in mixed European forests Christoph Straub, Christoph Stepper, Rudolf Seitz, Canadian Journal of Forest Research EngineeringForest BiometricsGeomorphologyMixed European ForestsForestry	2013	86
Assessing changes of forest area and shrub encroachment in a mire ecosystem using digital surface models and CIR aerial images Lars T. Waser‬, Emmanuel P. Baltsavias, Klaus Ecker, Remote Sensing of Environment Cir Aerial ImagesEngineeringLand UseForestryGeography	2008	86
Comparing different classification algorithms for monitoring mangrove cover changes in southern Iran Neda Bihamta Toosi, A. Soffianian, Sima Fakheran, Global Ecology and Conservation	2019	84

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