Results 191 to 200 of about 706,787 (215)

Extending a Linear Kernel-Driven BRDF Model to Realistically Simulate Reflectance Anisotropy Over Rugged Terrain

IEEE Transactions on Geoscience and Remote Sensing, 2022
Bidirectional reflectance distribution function (BRDF) models are used to correct surface bidirectional effects and estimate land surface albedo. Many operational BRDF/albedo algorithms adopt a Roujean linear kernel-driven BRDF (RLKB) model because of ...
Kai Yan, Hanliang Li, Wan-Juan Song, Yiyi Tong, D. Hao, Ye-Lu Zeng, X. Mu, G. Yan, Yuan Fang, R. Myneni, C. Schaaf   +10 more
semanticscholar   +1 more source

Prediction of Radio Wave Propagation Loss in Ultra-Rugged Terrain Areas

IEEE Transactions on Antennas and Propagation, 2021
When designing and maintaining a wireless network, engineers need to first evaluate the impact of a specific propagation environment on radio wave propagation.
Huafu Li, Wenxue He, Xianguo He
semanticscholar   +1 more source

Topographic radiation modeling and spatial scaling of clear-sky land surface longwave radiation over rugged terrain

Remote Sensing of Environment, 2016
Guangjian Yan, Ling Chen, Zhong-Hu Jiao
exaly   +2 more sources

GPRT: A Gaussian Process Regression-Based Radio Map Construction Method for Rugged Terrain

IEEE Internet of Things Journal
Accurate radio environment maps (REMs) can enhance the performance of wireless networks and optimize spectrum utilization efficiency. However, in rugged terrain environments, radio propagation is significantly affected by terrain variations, resulting in
Guo-Kai Chen, Yong-Xiang Liu, Jian-Zhao Zhang, Tao Zhang, Kai Liu, Jun Yang   +5 more
semanticscholar   +1 more source

Navigating One Health impacts of rugged terrain: challenges and opportunities

BioScience
Terrain ruggedness increasingly shapes health outcomes but remains understudied, especially from a One Health perspective, which emphasizes the interconnectedness of human, animal, and environmental health.
Yan-Ni Cao, Ria Martins, Jiyoung Lee, Jian-Yong Wu   +3 more
semanticscholar   +1 more source

Integrated Motion Control Framework of Wheel-Legged Biped Robot on Rugged Terrain

IEEE/ASME transactions on mechatronics
As a novel robotic architecture, the wheeled–biped robot (WBR) offers the potential for rapid locomotion in complex environments. However, existing control schemes still exhibit limited mobility on rugged terrain with vertical drops and obstacles.
Zhi-Tai Liu, Hanhai Zhong, Xiaotian Lin, Xinghu Yu, J. Rodríguez-Andina   +4 more
semanticscholar   +1 more source

Modeling Diurnal Variation of Land Surface Albedo Over Rugged Terrain

IEEE Transactions on Geoscience and Remote Sensing
The diurnal variation of land surface albedo (DVLSA) is crucial for understanding energy budgets and climate change. As topography complicates the radiative transfer processes, the estimation of DVLSA over rugged terrain becomes challenging.
Yuan Han, Jian-Guang Wen, D. You, Qing Xiao, Da-Lei Hao, Yong Tang, Sen Piao, Guokai Liu, Qin-Huo Liu   +8 more
semanticscholar   +1 more source

Engineering in the rugged permafrost terrain on the roof of the world under a warming climate

Permafrost and Periglacial Processes, 2020
Permafrost is sensitive to both climate warming and engineering disturbance on the Qinghai–Tibet Plateau (QTP). These factors degrade the stability of infrastructure built on permafrost and reduce its service life.
Qing-Bai Wu, Y. Sheng, Qi-Hao Yu, Ji Chen, Wei Ma   +4 more
semanticscholar   +1 more source

Speed Planning Based on Terrain-Aware Constraint Reinforcement Learning in Rugged Environments

IEEE Robotics and Automation Letters
Speed planning in rugged terrain poses challenges due to various constraints, such as traverse efficiency, dynamics, safety, and smoothness. This letter introduces a framework based on Constrained Reinforcement Learning (CRL) that considers all these ...
An-Dong Yang, Wei Li, Yu Hu
semanticscholar   +1 more source

Spherical planetary robot for rugged terrain traversal

IEEE Aerospace Conference, 2017
Wheeled planetary rovers such as the Mars Exploration Rovers (MERs) and Mars Science Laboratory (MSL) have provided unprecedented, detailed images of the Mars surface.
Laksh Raura, Andrew Warren, J. Thangavelautham   +2 more
semanticscholar   +1 more source