Kaiyu Guan
Orcid: 0000-0002-3499-6382
According to our database1,
Kaiyu Guan
authored at least 25 papers
between 2014 and 2024.
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Bibliography
2024
Evaluation of average leaf inclination angle quantified by indirect optical instruments in crop fields.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
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.
Remote. Sens., January, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Advancing Airborne Hyperspectral Data Processing and Applications for Sustainable Agriculture Using RTM-Based Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Evaluation of Four New Land Surface Temperature (LST) Products in the U.S. Corn Belt: ECOSTRESS, GOES-R, Landsat, and Sentinel-3.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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.
Remote. Sens., 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.
Frontiers Artif. Intell., 2021
Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Spatiotemporal Derivation of Intermittent Ponding in a Maize-Soybean Landscape from Planet Labs CubeSat Images.
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.
Remote. Sens., 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.
Remote. Sens., 2020
Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network.
CoRR, 2019
2018
Mapping Paddy Rice Area and Yields Over Thai Binh Province in Viet Nam From MODIS, Landsat, and ALOS-2/PALSAR-2.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
FluoSpec 2 - An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence.
Sensors, 2018
Imaging Spectrometry and Fluorometry in Support of Flex: What Can We Learn from Multi-Scale Experiments?
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Global Analysis of Bioclimatic Controls on Ecosystem Productivity Using Satellite Observations of Solar-Induced Chlorophyll Fluorescence.
Remote. Sens., 2017
2014
Deriving Vegetation Phenological Time and Trajectory Information Over Africa Using SEVIRI Daily LAI.
IEEE Trans. Geosci. Remote. Sens., 2014