Peer-Reviewed Publications at Dr. Kaiyu Guan's group (Google Scholar):

Area 1: Satellite technology innovation and applications

RETURN

Featured Publications:

● Wu, X.*, Zhou, Q., Guan, K.*, Wang, S.*, Hipple, J., Peng, B., Chen, Z., Qin, R. (2026) "A framework to detect tillage practices from space: A demonstration in the US Midwest". Remote Sensing of Environment. 337, 115323.

● Zhou, Q., Guan, K.*, Wang, S.*, Wu, X., Strobel, S., Hipple, J. (2026) "Multi-sensor assessment of phenology-based field-level cover cropping detection using satellite vegetation time series from Harmonized Landsat-8 and Sentinel-2, MODIS, and PlanetScope". International Journal of Applied Earth Observation and Geoinformation.

● Zhou, Q.*,, Guan, K.*, Wang, S.*,, Hipple, J., Chen, Z. (2025) "Addressing Crop Dormancy for Phenology-based Field-level Detection of Winter Wheat Planting Dates in the United States". IEEE Transactions on Geoscience and Remote Sensing.

● Deng, Y., Peng, B.*, Guan, K.*, Runkle, B.R.K., Moreno-García, B., Wu, X., Wang, S., Zhou, Q., Reba, M.L. (2025) "Detecting the onset of rice field inundation in the Lower Mississippi River Basin via Harmonized Landsat Sentinel-2 (HLS) satellite time series". ISPRS Journal of Photogrammetry and Remote Sensing. 228, 28-43.

● Zhou, Q., Guan, K.*, Wang, S.*, Hipple, J., Chen, Z. (2024) "From satellite-based phenological metrics to crop planting dates: Deriving field-level planting dates for corn and soybean in the US Midwest". ISPRS Journal of Photogrammetry and Remote Sensing. 216, 259-273.

● Zhou, J., Yang, Q., Liu, L., Kang, Y., Jia, X., Chen, M., Ghosh, R., Xu, S., Jiang, C., Guan, K., Kumar, V., Jin, Z.* (2023) "A deep transfer learning framework for mapping high spatiotemporal resolution LAI". ISPRS Journal of Photogrammetry and Remote Sensing. 206, 30-48.

● Chongya Jiang*, Guan, K.*, Yizhi Huang, Maxwell Jong (2023) "A vehicle imaging approach to acquire ground truth data for upscaling to satelite data: A case study for estimationg harvesting dates". Remote Sensing of Environment. 300, 113894.

● Wang, S.*, Guan, K.*, Zhang, C., Zhou, Q., Wang, S., Wu, X., Jiang, C., Peng, B., Mei, W., Li, K., Li, Z., Yang, Y., Zhou, W. and Ma, Z. (2022) "Cross-scale sensing of field-level crop residue fraction and tillage intensity: integrating field photos, airborne hyperspectral imaging, and satellite data". Remote Sensing of Environment.

● Zhou, Q., Guan, K.*, Wang, S.*, Jiang, C., Huang, Y., Peng, B., Chen, Z., Wang, S., Hipple, J., Schaefer, D., Qin, Z., Stroebel, S., Coppess, J., Khanna, M., and Cai, Y. (2022) "Recent rapid increase of cover crop adoption across the US Midwest detected by fusing multi-source satellite data". Geophysical Research Letters. e2022GL100249.

● Jong, M., Guan, K.*, Wang, S., Huang, Y., and Peng, B. (2022) "Improving field boundary delineation in ResUnets via adversarial deep learning". International Journal of Applied Earth Observation and Geoinformation. 112, 102877.

● Cai, Y., Guan, K.*, Lobell, D.B., Potgieter, A. et al. (2019) "Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches". Agricultural and Forest Meteorology. 274, 144-159.

● Peng, B.*, Guan, K.*, Pan, M., and Li, Y. (2018) "Benefits of seasonal climate prediction and satellite data for forecasting US maize yield". Geophysical Research Letters. 45.

● Peng, B.*, Guan, K.*, Zhou, W., Jiang, C., Frankenberg, C., Sun, Y., He, L., and Kohler, P. (2020) "Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction". International Journal of Applied Earth Observation and Geoinformation. 90, 102126.

● Guan, K.*, Lobell, D.B., Berry, J., Joiner, J., Guanter, L., Zhang, Y., and Badgley, G. (2015) "Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence". Global Change Biology. 22(2).

● Guan, K.*, Wu, J., Kimball, J., Anderson, M., Li, B., and Lobell, D.B. (2017) "The shared and unique values of optical, fluorescence, thermal and microwave satellite data for estimating large-scale crop yields". Remote Sensing of Environment. 199, 333-349.

● Luo, Y., Guan, K.*, and Peng, J.* (2018) "STAIR: A generic and fully-automated method to fuse multiple sources of optical satellite data to generate a high-resolution, daily and cloud-/gap-free surface reflectance product". Remote Sensing of Environment. 214, 87-99.

● Jiang, C.*, Guan, K.*, Wu, G., Peng, B., and Wang, S. (2021) "A daily, 250 m, and real-time gross primary productivity product (2000–present) covering the Contiguous United States". Earth System Science Data. 13, 281-298.

● Kimm, H.*, Guan, K.*, Jiang, C., Peng, B., Gentry, L.F., Wilkin, S.C., Wang, S., Cai, Y., Bernacchi, C.J., Peng, J., and Luo, Y. (2020) "Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data". Remote Sensing of Environment. 239.

● Jiang, C.*, Guan, K.*, Khanna, M.*, Chen, L. and Peng, J. (2021) "Assessing marginal land availability based on land use change information in the Contiguous United States". Environmental Science & Technology.

Other Publications:

● Gao, L.*, Guan, K.*, Jiang, C., Lu, X., Wang, S., Ainsworth, E.A., Wu, X., Chen, M. (2025) "Incorporating environmental stress improves estimation of photosynthesis from NIRvP in US Great Plains pasturelands and Midwest croplands". Remote Sensing of Environment. 316, 114516.

● Cheng, T., Ma, W., Guan, K.*, Torralba, A., Wang, S. (2023) "Structure from Duplicates: Neural Inverse Graphics from a Single Image". NeurIPS 2023.

● Dechant, B., Ryu, Y., Badgley, G., Köhler, P., Rascher, U., Migliavacca, M., Zhang, Y., Tagliabue, G., Guan, K., Rossini, M., Goulas, Y., Frankenberg, C., and Berry, J. A. (2021) "NIRvP: a robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales". Remote Sensing of Environment.

● Li, K., Guan, K.*, Jiang, C.*, Wang, S., Peng, B., and Cai, Y. (2021) "Evaluation of four new land surface temperature (LST) products in the U.S. Corn Belt: ECOSTRESS, GOES-R, Landsat, and Sentinel-3". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

● Lin, C., Jin, Z., Mulla, D., Ghosh, R., Guan, K., Kumar, V., and Cai, Y. (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 Sensing. 13(9), 1740.

● Hao, D., Asrar, G., Zeng, Y., Yang, X., Li, X., Xiao, J., Guan, K., Wen, J., Xiao, Q., Berry, J.A., and Chen, M. (2021) "Potential of hotspot solar-induced chlorophyll fluorescence for better tracking terrestrial photosynthesis". Global Change Biology.

● Kong, J., Ryu, Y., Huang, Y., Dechant, B., Houborg, R., Guan, K., and Zhu, X. (2021) "Evaluation of four image fusion NDVI products against in-situ spectral-measurements over a heterogeneous rice paddy landscape". Agricultural and Forest Meteorology. 297, 108255.

● Luo, Y., Guan, K.*, Peng, J., Wang, S., and Huang, Y. (2020) "Stair 2.0: A Generic and Automatic Algorithm to Fuse Modis, Landsat, and Sentinel-2 to Generate 10m, Daily, and Cloud-/Gap-Free Surface Reflectance Product". Remote Sensing. 12(19), 3209.

● Paul, R.F., Cai, Y., Peng, B., Yang, W.H., Guan, K., & DeLucia, E.H. (2020) "Spatiotemporal Derivation of Intermittent Ponding in a Maize–Soybean Landscape from Planet Labs CubeSat Images". Remote Sensing. 12(12), 1942.

● Franz, E.T., Pokal, S., Gibson, P.J., Zhou, Y., Gholizadeh, H., Tenorio, A.F., Rudnick, D., Heeren, D., McCabe, M., Ziliani, M., Jin, Z., Guan, K., Pan, M., Gates, J., and Wardlow, B. (2020) "The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield". Field Crops Research. 252.

● He, M., Kimball, J.S., Yi, Y., Running, S., Guan, K., Jencso, K., Maxwell, B., and Maneta, M. (2019) "Impacts of the 2017 flash drought in the US Northern Plains informed by satellite-based evapotranspiration and solar-induced fluorescence". Environmental Research Letters. 14.

● He, M., Kimball, J.S., Yi, Y., Mu, Q., Running, S., Guan, K., Maneta, M., Moreno, A., and Wu, X. (2019) "Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework". Remote Sensing of Environment. 230.

● Xu, Z., Guan, K., Casler, N., Peng, B., and Wang, S. (2018) "A 3D convolutional neural network method for land cover classification using LiDAR and multi-temporal Landsat imagery". ISPRS Journal of Photogrammetry and Remote Sensing. 114, 423-434.

● Guan, K.*, Li, Z., Rao, N., Feng, G., etc. (2018) "Mapping Paddy Rice Area and Yields Over Thai Binh Province in Viet Nam From MODIS, Landsat, and ALOS-2/PALSAR-2". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11, 2238-2252.

● Song, L., Guanter, L., Guan, K., et al. (2018) "Satellite chlorophyll fluorescence captures heat stress for the winter wheat in the Indo-Gangetic Plains, India". Global Change Biology. 24, 4023-4037.

● Urban, D.*, Guan, K.*, and Jain, M. (2018) "Estimating sowing dates from satellite data over the U.S. Midwest: a comparison of multiple sensors and metrics". Remote Sensing of Environment. 211, 400-412.

● Zhang, Y., Guanter, L., Joiner, J., Lian, S., and Guan, K. (2018) "Spatially-explicit monitoring of crop photosynthetic capacity through space-based chlorophyll fluorescence data". Remote Sensing of Environment. 210, 362-374.

● Madani, N., Kimball, J., Jones, L., Parazoo, N.C., and Guan, K. (2017) "Global analysis of bioclimatic controls on ecosystem productivity using satellite observations of solar-induced chlorophyll fluorescence". Remote Sensing. 9(6), 530.

● He, M., Kimball, J.S., Running, S., Ballantyne, A., Guan, K., and Heumann, F. (2016) "Satellite detection of soil moisture related impacts on ecosystem productivity using the MODIS-based Photochemical Reflectance Index". Remote Sensing of Environment. 186, 173-183.

● Guan, K.*, Medvigy, D., Wood, E.F., Caylor, K.K., Li, S. and Jeong, S.J. (2014) "Deriving vegetation phenological time and trajectory information over Africa using SEVIRI daily LAI". IEEE Transactions on Geoscience and Remote Sensing. 53(2), 1113-1130.

● Gao, Y., Wang, S., Guan, K., Wolanin, A., You, L., Ju, W., and Zhang, Y. (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 Sensing. 12(7), 1111.

● He, L., Magney, T., Dutta, D., Yin, Y., Kohler, P., Grossmann, K., Stutz, J., Dold, C., Hatfield, J., Guan, K., Peng, B., and Frankenberg, C. (2020) "From the ground to space: Using solar-induced fluorescence (SIF) to estimate crop productivity". Geophysical Research Letters. 47(7), e2020GL087474.

● Becker-Reshef, I. et al. (including Guan, K.) (2022) "The NASA Harvest Program on Agriculture and Food Security. In: Vadrevu, K.P., Le Toan, T., Ray, S.S., Justice, C. (eds) Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries". Springer, Cham.

● Wang, C.*, Guan, K.*, Peng, B., Chen, M., Jiang, C., Zeng, Y., Wu, G., Wang, S., Wu, J., Yang, X., Frankenberg, C., Kohler, P., Berry, J., Bernacchi, C., Zhu, K., Alden, C., and Miao, G. (2020) "Satellite footprint data from OCO-2 and TROPOMI reveal significant spatio-temporal and inter-vegetation type variabilities of solar-induced fluorescence yield in the U.S. Midwest". Remote Sensing of Environment. 241.