All Publications

Vadrevu, K.P., Le Toan, T., Ray, S.S., and Justice, C. 2022. Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries. Springer Book. https://doi.org/10.1007/978-3-030-92365-5

Nakalembe, C., Zubkova, M., Hall, J. V., Argueta, F., & Giglio, L. (2022). Impacts of large-scale refugee resettlement on LCLUC: Bidi Bidi refugee settlement, Uganda case study. Environmental Research Letters, 17(6), 064019.

Xu, H, Z Tian, L Sun, Q Ye, et al. 2022. Compound flood impact of water level and rainfall during tropical cyclone period in a coastal city: The case of Shanghai. Natural Hazards and Earth System Sciences (2022 IF: 4.345). Vol. 22, issue 7, pp. 2347–2358.

Huang, X., Fu, Y., Wang, J., Dong, J., Zheng, Y., Pan, B., Skakun, S., & Yuan, W. (2022). High-Resolution Mapping of Winter Cereals in Europe by Time Series Landsat and Sentinel Images for 2016–2020. Remote Sensing, 14(9), art. num. 2120.

Comment on Otón et al. Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018)

Zhao, D., K. Feng, L. Sun, G. Baiocchi, H. Liu. 2022. Environmental implications of economic transformation in China’s Pearl River Delta region: Dynamics at four nested geographical scales over 1987-2017.” Science of the Total Environment (2020 IF: 7.963)

Kussul, Nataliia, Klaus Deininger, Leonid Shumilo, Mykola Lavreniuk, Daniel Ayalew Ali, and Oleg Nivievskyi. "Biophysical Impact of Sunflower Crop Rotation on Agricultural Fields." Sustainability 14, no. 7 (2022): 3965.

Jia, A., Wang, D., ..., & Yu, Y. (2022). Global daily actual and snow-free blue-sky land surface albedo climatology from 20-year MODIS products. Journal of Geophysical Research: Atmospheres, 127, e2021JD035987. https://doi. org/10.1029/2021JD035987

Li, R., Wang, D., Liang, S., Jia, A., & Wang, Z. (2022). Estimating global downward shortwave radiation from VIIRS data using a transfer-learning neural network. Remote Sensing of Environment, 274, 112999.

Dubayah, et al. (2021) GEDI L4A Footprint Level Aboveground Biomass Density, V2. ORNL DAAC, Oak Ridge, TN

Roger, J.-C., Vermote, E., Skakun, S., Murphy, E., Dubovik, O., Kalecinski, N., Korgo, B., & Holben, B. (2022). Aerosol models from the AERONET database: application to surface reflectance validation. Atmospheric Measurement Techniques, 15, 1123–1144.

Duncanson et al. (2022). Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment, 270, 112845.