Department of Geology and Geography, Hunter College

The City University of New York, USA

Associate Professor

Email: [email protected]

Qualifications

1997 Ph.D., Boston University, Remote Sensing

1994 M.S., The University of Connecticut, Land-Atmosphere Interactions

1992 M.S., Chinese Academy of Sciences, Climatology

1988 B.A., Nanjing Institute of Meteorology, Meteorology

Publications (selected)

1. Ni-Meister, W., Luo, Q. A., Covert, J., et al. (2026). Urbanization controls surface energy partitioning and energy balance closure across the New York City urban-exurban gradient. Urban Climate, 67, Article 102982.
2. Li, W., Ni-Meister, W., Li, Y., et al. (2026). A physically based modification of the canopy gap probability formula for LiDAR waveforms over sloped canopies. IEEE Geoscience and Remote Sensing Letters, 23, Article 6500605.
3. Jiang, W., Yan, G., Jiang, H., et al. (2025). Accuracy assessment of GEDI and ICESat-2 canopy height products by excluding geolocation error based on virtual sampling units. IEEE Transactions on Geoscience and Remote Sensing, 63, Article 5705021.
4. Ni-Meister, W., Albanese, A., & Lingo, F. (2024). Assessing data preparation and machine learning for tree species classification using hyperspectral imagery. Remote Sensing, 16(17), Article 3313.
5. Linares, M., & Ni-Meister, W. (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 forcing. Remote Sensing, 16(8), Article 1461.
6. Ni-Meister, W., Rojas, A., & Lee, S. (2022). Direct use of large-footprint LiDAR waveforms to estimate aboveground biomass. Remote Sensing of Environment, 280, Article 113147.
7. Nath, B., Chowdhury, R., Ni-Meister, W., et al. (2022). Predicting the distribution of arsenic in groundwater by a geospatial machine learning technique in the two most affected districts of Assam, India: The public health implications. Geohealth, 6(3), Article e2021GH000585.
8. Nath, B., Ni-Meister, W., & Ozdogan, M. (2021). Fine-scale urban heat patterns in New York City measured by ASTER satellite-the role of complex spatial structures. Remote Sensing, 13(19), Article 3797.
9. Nath, B., & Ni-Meister, W. (2021). 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 budget. Remote Sensing, 13(16), Article 3108.
10. Philogene, S., & Ni-Meister, W. (2021). Relationship between fire events and land use changes in the state of Sao Paulo, Brazil. Remote Sensing, 13(15), Article 2853.
11. Wang, Q., & Ni-Meister, W. (2021). Forest canopy height and gaps from multiangular BRDF, assessed with airborne LiDAR data (short title: Vegetation structure from LiDAR and multiangular data) (vol 11, 2566, 2019). Remote Sensing, 13(1), Article 17.
12. Wang, Q., & Ni-Meister, W. (2019). Forest canopy height and gaps from multiangular BRDF, assessed with airborne LiDAR data (short title: Vegetation structure from LiDAR and multiangular data). Remote Sensing, 11(21), Article 2566.
13. Marrs, J., & Ni-Meister, W. (2019). Machine learning techniques for tree species classification using co-registered LiDAR and hyperspectral data. Remote Sensing, 11(7), Article 819.
14. Ni-Meister, W., Yang, W., Lee, S., et al. (2018). Validating modeled LiDAR waveforms in forest canopies with airborne laser scanning data. Remote Sensing of Environment, 204, 229–243.
15. Kutter, E., Yi, C., Hendrey, G., et al. (2017). Recirculation over complex terrain. Journal of Geophysical Research-Atmospheres, 122(12), 6637–6651.
16. Wang, Q., Pang, Y., Li, Z., et al. (2016). The potential of forest biomass inversion based on vegetation indices using multi-angle CHRIS/PROBA data. Remote Sensing, 8(11), Article 891.
17. Widlowski, J.-L., Mio, C., Disney, M., et al. (2015). The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing. Remote Sensing of Environment, 169, 418–437.
18. Pistolesi, L. I., Ni-Meister, W., & McDonald, K. C. (2015). Mapping wetlands in the Hudson Highlands ecoregion with ALOS PALSAR: An effort to identify potential swamp forest habitat for golden-winged warblers. Wetlands Ecology and Management, 23(1), 95–112.
19. Peng, B., Shi, J., Ni-Meister, W., et al. (2014). Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) products and their potential hydrological application at an arid and semiarid basin in China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(9), 3915–3930.
20. Zhao, F., Yang, X., Strahler, A. H., et al. (2013). A comparison of foliage profiles in the Sierra National Forest obtained with a full-waveform under-canopy EVI LiDAR system with the foliage profiles obtained with an airborne full-waveform LVIS LiDAR system. Remote Sensing of Environment, 136, 330–341.

Profile Details

https://crest.cuny.edu/meet-dr-wenge-ni-meister/
https://scholar.google.com/citations?user=eC7e7vMAAAAJ&hl=en
https://www.researchgate.net/profile/Wenge-Ni-Meister

WOS ResearcherID: FZT-0242-2022