Results 31 to 40 of about 2,191,011 (257)

Snow depth on Arctic sea ice from historical in situ data [PDF]

The Cryosphere, 2018
The snow data from the Soviet airborne expeditions Sever in the Arctic collected over several decades in March, April and May have been analyzed in this study.
E. V. Shalina, E. V. Shalina, S. Sandven
doaj   +1 more source

Airborne lidar and machine learning reveal decreased snow depth in burned forests [PDF]

The Cryosphere
Wildfires are increasingly burning higher in elevations well into the seasonal snow zone, altering snow accumulation and melt dynamics. However, limited spatially distributed observations throughout the full snow season have constrained our understanding
A. Koshkin, A. Koshkin, A. M. Marshall
doaj   +1 more source

Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations

Journal of Glaciology, 2022
The sub-kilometre scale distribution of snow depth on Arctic sea ice impacts atmosphere-ice fluxes of energy and mass, and is of importance for satellite estimates of sea-ice thickness from both radar and lidar altimeters.
Robbie D. C. Mallett, Julienne C. Stroeve, Michel Tsamados, Rosemary Willatt, Thomas Newman, Vishnu Nandan, Jack C. Landy, Polona Itkin, Marc Oggier, Matthias Jaggi, Don Perovich   +10 more
doaj   +1 more source

Estimation of snow depth from AMSR-2 based on an AutoML method over the Qinghai-Tibet Plateau [PDF]

The Cryosphere
Snow depth is a crucial parameter for describing the spatiotemporal variations of snow cover, and passive microwave snow depth products (10–25 km) are widely used for monitoring snow depth changes.
X. Li, F. Xu, C. Zhang, T. Che, L. Dai, Y. Zhang   +5 more
doaj   +1 more source

Mapping snow depth within a tundra ecosystem using multiscale observations and Bayesian methods [PDF]

The Cryosphere, 2017
This paper compares and integrates different strategies to characterize the variability of end-of-winter snow depth and its relationship to topography in ice-wedge polygon tundra of Arctic Alaska.
H. M. Wainwright, A. K. Liljedahl, B. Dafflon, C. Ulrich, J. E. Peterson, A. Gusmeroli, S. S. Hubbard   +6 more
doaj   +1 more source

Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements

Frontiers in Remote Sensing, 2022
Snow is a crucial element in the Earth’s system, but snow depth and mass are very challenging to be measured globally. Here, we provide the theoretical foundation for deriving snow depth directly from space-borne lidar (ICESat-2) snow multiple scattering
Yongxiang Hu, Xiaomei Lu, Xubin Zeng, Snorre A Stamnes, Thomas A. Neuman, Nathan T. Kurtz, Pengwang Zhai, Meng Gao, Meng Gao, Wenbo Sun, Kuanman Xu, Zhaoyan Liu, Ali H. Omar, Rosemary R. Baize, Laura J. Rogers, Brandon O. Mitchell, Knut Stamnes, Yuping Huang, Nan Chen, Carl Weimer, Jennifer Lee, Zachary Fair   +21 more
doaj   +1 more source

NH-SWE: Northern Hemisphere Snow Water Equivalent dataset based on in situ snow depth time series [PDF]

, 2023
Ground-based datasets of observed snow water equivalent (SWE) are scarce, while gridded SWE estimates from remote-sensing and climate reanalysis are unable to resolve the high spatial variability of snow on the ground.
Teuling, Adriaan J., Bettina Schaefli, Woods, Ross, Larsen, Joshua R., Adrià Fontrodona-Bach, Ross Woods, Joshua R. Larsen, Adriaan J. Teuling, Schaefli, Bettina, Larsen, Joshua R.; id_orcid, Fontrodona-Bach, Adrià   +10 more
core   +2 more sources

A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1980 to 2019 based on machine learning

Big Earth Data
A high-quality snow depth product is very import for cryospheric science and its related disciplines. Current long time-series snow depth products covering the Northern Hemisphere can be divided into two categories: remote sensing snow depth products and
Yanxing Hu, Tao Che, Liyun Dai, Yu Zhu, Lin Xiao, Jie Deng, Xin Li   +6 more
doaj   +1 more source

Snow Depth Variations in Svalbard Derived from GNSS Interferometric Reflectometry

Remote Sensing, 2020
Snow plays a critical role in hydrological monitoring and global climate change, especially in the Arctic region. As a novel remote sensing technique, global navigation satellite system interferometric reflectometry (GNSS-IR) has shown great potential ...
Jiachun An, Pan Deng, Baojun Zhang, Jingbin Liu, Songtao Ai, Zemin Wang, Qiuze Yu   +6 more
doaj   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source