Analysis Ready Data: Enabling Analysis of the Landsat Archive von Dwyer, John L., Roy, David P., Sauer, Brian, Jenkerson, Calli B., Zhang, Hankui K., Lymburner, Leo

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Deep Convolutional Neural Network for Mapping Smallholder Agriculture Using High Spatial Resolution Satellite Image von Xie, Bin, Zhang, Hankui K, Xue, Jie

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A New Look at Image Fusion Methods from a Bayesian Perspective von Zhang, Hankui K, Huang, Bo

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Adjustment of Sentinel-2 Multi-Spectral Instrument (MSI) Red-Edge Band Reflectance to Nadir BRDF Adjusted Reflectance (NBAR) and Quantification of Red-Edge Band BRDF Effects von Roy, David, Li, Zhongbin, Zhang, Hankui

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Estimating Brazilian Amazon Canopy Height Using Landsat Reflectance Products in a Random Forest Model with Lidar as Reference Data von Oliveira, Pedro V. C., Zhang, Hankui K., Zhang, Xiaoyang

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Improved Landsat Operational Land Imager (OLI) Cloud and Shadow Detection with the Learning Attention Network Algorithm (LANA) von Zhang, Hankui K., Luo, Dong, Roy, David P.

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Evaluation of Landsat-8 and Sentinel-2A aerosol optical depth retrievals across Chinese cities and implications for medium spatial resolution urban aerosol monitoring von Li, Zhongbin, Roy, David P, Zhang, Hankui K, Vermote, Eric F, Huang, Haiyan

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Landsat 4, 5 and 7 (1982 to 2017) Analysis Ready Data (ARD) Observation Coverage over the Conterminous United States and Implications for Terrestrial Monitoring von Egorov, Alexey, Roy, David, Zhang, Hankui, Li, Zhongbin, Yan, Lin, Huang, Haiyan

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MODIS Evapotranspiration Downscaling Using a Deep Neural Network Trained Using Landsat 8 Reflectance and Temperature Data von Che, Xianghong, Zhang, Hankui K., Sun, Qing, Ouyang, Zutao, Liu, Jiping

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Cloud and cloud shadow detection in Landsat imagery based on deep convolutional neural networks von Chai, Dengfeng, Newsam, Shawn, Zhang, Hankui K., Qiu, Yifan, Huang, Jingfeng

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The Improved U-STFM: A Deep Learning-Based Nonlinear Spatial-Temporal Fusion Model for Land Surface Temperature Downscaling von Guo, Shanxin, Li, Min, Li, Yuanqing, Chen, Jinsong, Zhang, Hankui K., Sun, Luyi, Wang, Jingwen, Wang, Ruxin, Yang, Yan

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A Deep-Neural-Network-Based Aerosol Optical Depth (AOD) Retrieval from Landsat-8 Top of Atmosphere Data von She, Lu, Zhang, Hankui K., Bu, Ziqiang, Shi, Yun, Yang, Lu, Zhao, Jintao

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Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution von Li, Zhongbin, Zhang, Hankui, Roy, David, Yan, Lin, Huang, Haiyan, Li, Jian

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Computationally Inexpensive Landsat 8 Operational Land Imager (OLI) Pansharpening von Zhang, Hankui K, Roy, David P

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An extended PROSPECT: Advance in the leaf optical properties model separating total chlorophylls into chlorophyll a and b von Zhang, Yao, Huang, Jingfeng, Wang, Fumin, Blackburn, George Alan, Zhang, Hankui K., Wang, Xiuzhen, Wei, Chuanwen, Zhang, Kangyu, Wei, Chen

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Making Landsat 5, 7 and 8 reflectance consistent using MODIS nadir-BRDF adjusted reflectance as reference von Che, Xianghong, Zhang, Hankui K., Liu, Jiping

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Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences von Zhang, Hankui K., Roy, David P., Yan, Lin, Li, Zhongbin, Huang, Haiyan, Vermote, Eric, Skakun, Sergii, Roger, Jean-Claude

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Demonstration of Percent Tree Cover Mapping Using Landsat Analysis Ready Data (ARD) and Sensitivity with Respect to Landsat ARD Processing Level von Egorov, Alexey, Roy, David, Zhang, Hankui, Hansen, Matthew, Kommareddy, Anil

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A conterminous United States analysis of the impact of Landsat 5 orbit drift on the temporal consistency of Landsat 5 Thematic Mapper data von Roy, David P., Li, Zhongbin, Zhang, Hankui K., Huang, Haiyan

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10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product von Tran, Khuong H., Zhang, Hankui K., McMaine, John T., Zhang, Xiaoyang, Luo, Dong

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