Deriving Vegetation Phenological Time and Trajectory Information Over Africa Using SEVIRI Daily LAI. - Kaiyu Guan; David Medvigy; Eric F. Wood; Kelly K. Caylor; Shi Li 001; Su-Jong Jeong (IEEE Trans. Geosci. Remote. Sens., 2014)

Global Analysis of Bioclimatic Controls on Ecosystem Productivity Using Satellite Observations of Solar-Induced Chlorophyll Fluorescence. - Nima Madani; John S. Kimball; Lucas A. Jones; Nicholas C. Parazoo; Kaiyu Guan (Remote. Sens., 2017)

Imaging Spectrometry and Fluorometry in Support of Flex: What Can We Learn from Multi-Scale Experiments? - John A. Gamon; Gabriel Hmimina; Guofang Miao; Kaiyu Guan; Kyle R. Springer; Ran Wang 003; Rong Yu; Hamed Gholizadeh; Ryan Moore; Elizabeth Walter-Shea; Timothy J. Arkebauer; Andy Suyker; et al. (IGARSS, 2018)

FluoSpec 2 - An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence. - Xi Yang 004; Hanyu Shi 001; Atticus E. L. Stovall; Kaiyu Guan; Guofang Miao; Yongguang Zhang; Yao Zhang 004; Xiangming Xiao; Youngryel Ryu; Jung-Eun Lee (Sensors, 2018)

Mapping Paddy Rice Area and Yields Over Thai Binh Province in Viet Nam From MODIS, Landsat, and ALOS-2/PALSAR-2. - Kaiyu Guan; Zhan Li 001; Lakshman Nagraj Rao; Feng Gao 009; Donghui Xie; Ngo The Hien; Zhenzhong Zeng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network. - Ke Xu; Kaiyu Guan; Jian Peng 001; Yunan Luo; Sibo Wang 005 (CoRR, 2019)

Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing. - Yaping Cai; Kaiyu Guan; Emerson Nafziger; Girish Chowdhary 001; Bin Peng; Zhenong Jin; Shaowen Wang 001; Sibo Wang 005 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction. - Bin Peng; Kaiyu Guan; Wang Zhou 002; Chongya Jiang; Christian Frankenberg; Ying Sun; Liyin He; Philipp Köhler (Int. J. Appl. Earth Obs. Geoinformation, 2020)

The Ability of Sun-Induced Chlorophyll Fluorescence From OCO-2 and MODIS-EVI to Monitor Spatial Variations of Soybean and Maize Yields in the Midwestern USA. - Yun Gao; Songhan Wang; Kaiyu Guan; Aleksandra Wolanin; Liangzhi You; Weimin Ju; Yongguang Zhang (Remote. Sens., 2020)

STAIR 2.0: A Generic and Automatic Algorithm to Fuse Modis, Landsat, and Sentinel-2 to Generate 10 m, Daily, and Cloud-/Gap-Free Surface Reflectance Product. - Yunan Luo; Kaiyu Guan; Jian Peng 001; Sibo Wang 005; Yizhi Huang (Remote. Sens., 2020)

Spatiotemporal Derivation of Intermittent Ponding in a Maize-Soybean Landscape from Planet Labs CubeSat Images. - Robert F. Paul; Yaping Cai; Bin Peng; Wendy H. Yang; Kaiyu Guan; Evan H. DeLucia (Remote. Sens., 2020)

Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling. - Sheng Wang 020; Kaiyu Guan; Zhihui Wang 007; Elizabeth A. Ainsworth; Ting Zheng; Philip A. Townsend; Nanfeng Liu; Emerson Nafziger; Michael D. Masters; Kaiyuan Li; Genghong Wu; Chongya Jiang (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt. - Tianfang Xu; Kaiyu Guan; Bin Peng; Shiqi Wei; Lei Zhao (Frontiers Artif. Intell., 2021)

Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. - Chenxi Lin; Zhenong Jin; David J. Mulla; Rahul Ghosh; Kaiyu Guan; Vipin Kumar 001; Yaping Cai (Remote. Sens., 2021)

Evaluation of Four New Land Surface Temperature (LST) Products in the U.S. Corn Belt: ECOSTRESS, GOES-R, Landsat, and Sentinel-3. - Kaiyuan Li; Kaiyu Guan; Chongya Jiang; Sheng Wang 020; Bin Peng; Yaping Cai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Distribution-Informed Neural Networks for Domain Adaptation Regression. - Jun Wu 019; Jingrui He; Sheng Wang; Kaiyu Guan; Elizabeth A. Ainsworth (NeurIPS, 2022)

Improving field boundary delineation in ResUNets via adversarial deep learning. - Maxwell Jong; Kaiyu Guan; Sibo Wang 005; Yizhi Huang; Bin Peng (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Adaptive Transfer Learning for Plant Phenotyping. - Jun Wu 019; Elizabeth A. Ainsworth; Sheng Wang; Kaiyu Guan; Jingrui He (CoRR, 2022)

Retrieval Based Time Series Forecasting. - Baoyu Jing; Si Zhang; Yada Zhu; Bin Peng; Kaiyu Guan; Andrew Margenot; Hanghang Tong (CoRR, 2022)

Advancing Airborne Hyperspectral Data Processing and Applications for Sustainable Agriculture Using RTM-Based Machine Learning. - Qu Zhou; Sheng Wang 020; Kaiyu Guan (IGARSS, 2023)

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. - Dingsu Wang; Yuchen Yan; Ruizhong Qiu; Yada Zhu; Kaiyu Guan; Andrew Margenot; Hanghang Tong (KDD, 2023)

Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. - Tianhang Cheng; Wei-Chiu Ma; Kaiyu Guan; Antonio Torralba 001; Shenlong Wang (NeurIPS, 2023)

Correction: Lin et al. Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sens. 2021, 13, 1740. - Chenxi Lin; Zhenong Jin; David J. Mulla; Rahul Ghosh; Kaiyu Guan; Vipin Kumar 001; Yaping Cai (Remote. Sens., 2023)

Physical Property Understanding from Language-Embedded Feature Fields. - Albert J. Zhai; Yuan Shen; Emily Y. Chen; Gloria X. Wang; Xinlei Wang; Sheng Wang; Kaiyu Guan; Shenlong Wang (CVPR, 2024)

Evaluation of average leaf inclination angle quantified by indirect optical instruments in crop fields. - Kaiyuan Li; Chongya Jiang; Kaiyu Guan; Genghong Wu; Zewei Ma; Ziyi Li (Int. J. Appl. Earth Obs. Geoinformation, 2024)

CropCraft: Inverse Procedural Modeling for 3D Reconstruction of Crop Plants. - Albert J. Zhai; Xinlei Wang; Kaiyuan Li; Zhao Jiang; Junxiong Zhou; Sheng Wang; Zhenong Jin; Kaiyu Guan; Shenlong Wang (CoRR, 2024)