Assessment of airborne LIDAR for snowpack depth modeling-Reference-Cited by-同舟云学术

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Assessment of airborne LIDAR for snowpack depth modeling

Published:2011 Issue:1 Volume:63 Page:95-107
ISSN:1405-3322
Container-title:Boletín de la Sociedad Geológica Mexicana
language:
Short-container-title:BSGM

Author:

Moreno Baños Ignacio,Ruiz García Antoni,Marturià i Alavedra Jordi,Oller i Figueras Pere,Piña Iglesias Jordi,Martínez i Figueras Pere ,Talaya López Julià

Publisher

Sociedad Geologica Mexicana

Subject

General Earth and Planetary Sciences

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Mountain Snowpack Estimation Using Machine Learning With Sentinel‐1, the Airborne Snow Observatory, and University of Arizona Snowpack Data;Earth and Space Science;2024-03

2. Topographic and vegetation controls of the spatial distribution of snow depth in agro-forested environments by UAV lidar;The Cryosphere;2023-03-14

3. Machine Learning Based Imputation of Mountain Snowpack Depth within an Operational LiDAR Sampling Framework in Southwest Alberta;Canadian Journal of Remote Sensing;2021-10-21

4. IceSat–2 Uydu Verilerinden Elde Edilen Nokta Bulutu Verilerinden Kar Kalınlığı Belirleme Potansiyelinin Analizi;Academic Perspective Procedia;2020-11-01

5. Structure from Motion of Multi-Angle RPAS Imagery Complements Larger-Scale Airborne Lidar Data for Cost-Effective Snow Monitoring in Mountain Forests;Remote Sensing;2020-07-18

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