Wenge Ni-Meister - researchr alias

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Viewing Publication 1 - 15 from 15

2024

Impact of Wildfires on Land Surface Cold Season Climate in the Northern High-Latitudes: A Study on Changes in Vegetation, Snow Dynamics, Albedo, and Radiative ForcingMelissa Linares, Wenge Ni-Meister. remotesensing, 16(8):1461, April 2024. [doi]

2021

Erratum: Wang, Q.; Ni-Meister, W. Forest Canopy Height and Gaps from Multiangular BRDF, Assessed with Airborne LiDAR Data (Short Title: Vegetation Structure from Lidar and Multiangular Data). Remote Sens. 2019, 11, 2566Qiang Wang 0004, Wenge Ni-Meister. remotesensing, 13(1):17, 2021. [doi]

The Interplay between Canopy Structure and Topography and Its Impacts on Seasonal Variations in Surface Reflectance Patterns in the Boreal Region of Alaska - Implications for Surface Radiation BudgetBibhash Nath, Wenge Ni-Meister. remotesensing, 13(16):3108, 2021. [doi]

Fine-Scale Urban Heat Patterns in New York City Measured by ASTER Satellite - The Role of Complex Spatial StructuresBibhash Nath, Wenge Ni-Meister, Mutlu Özdogan. remotesensing, 13(19):3797, 2021. [doi]

Relationship between Fire Events and Land Use Changes in the State of São Paulo, BrazilSheena Philogene, Wenge Ni-Meister. remotesensing, 13(15):2853, 2021. [doi]

2020

Allometric Relationships Between Above-Ground Biomass and Lidar Full Waveform Measurements - Potential Applications for Global Ecosystem Dynamics Investigation (GEDI) MissionWenge Ni-Meister, Shihyan Lee. igarss 2020: 4999-5002 [doi]

2019

Forest Canopy Height and Gaps from Multiangular BRDF, Assessed with Airborne LiDAR Data (Short Title: Vegetation Structure from LiDAR and Multiangular Data)Qiang Wang 0004, Wenge Ni-Meister. remotesensing, 11(21):2566, 2019. [doi]

The Potential of Forest Biomass Inversion Based on Canopy-Independent Structure Metrics Tested by Airborne LiDAR DataQiang Wang 0004, Wenge Ni-Meister, Wenjian Ni, Yong Pang. igarss 2019: 7354-7357 [doi]

Machine Learning Techniques for Tree Species Classification Using Co-Registered LiDAR and Hyperspectral DataJulia Marrs, Wenge Ni-Meister. remotesensing, 11(7):819, 2019. [doi]

2016

Fusion of LiDAR and radar for vegetation structure and biomass retrievalWenge Ni-Meister. igarss 2016: 5346-5349 [doi]

The Potential of Forest Biomass Inversion Based on Vegetation Indices Using Multi-Angle CHRIS/PROBA DataQiang Wang, Yong Pang, Zengyuan Li, Guoqing Sun, Erxue Chen, Wenge Ni-Meister. remotesensing, 8(11):891, 2016. [doi]

2014

Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) Products and Their Potential Hydrological Application at an Arid and Semiarid Basin in ChinaBin Peng, Jiancheng Shi 0001, Wenge Ni-Meister, Tianjie Zhao, Dabin Ji. staeors, 7(9):3915-3930, 2014. [doi]

2013

2001

Modeling lidar waveforms in heterogeneous and discrete canopiesWenge Ni-Meister, David L. B. Jupp, Ralph Dubayah. tgrs, 39(9):1943-1958, 2001. [doi]

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