| Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy S Wang, K Guan, Z Wang, EA Ainsworth, T Zheng, PA Townsend, K Li, ... Journal of experimental botany 72 (2), 341-354, 2021 | 69 | 2021 |
| Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling S Wang, K Guan, Z Wang, EA Ainsworth, T Zheng, PA Townsend, N Liu, ... International Journal of Applied Earth Observation and Geoinformation 105 …, 2021 | 39 | 2021 |
| Evaluation of resource and environmental carrying capacity of China’s rapid-urbanization areas—A case study of Xinbei district, Changzhou K Li, X Jin, D Ma, P Jiang Land 8 (4), 69, 2019 | 30 | 2019 |
| China’s new urban space regulation policies: A study of urban development boundary delineations Z Zhuang, K Li, J Liu, Q Cheng, Y Gao, J Shan, L Cai, Q Huang, Y Chen, ... Sustainability 9 (1), 45, 2016 | 26 | 2016 |
| Cross-scale sensing of field-level crop residue cover: Integrating field photos, airborne hyperspectral imaging, and satellite data S Wang, K Guan, C Zhang, Q Zhou, S Wang, X Wu, C Jiang, B Peng, ... Remote Sensing of Environment 285, 113366, 2023 | 18 | 2023 |
| Evaluation of four new land surface temperature (LST) products in the US corn belt: ECOSTRESS, GOES-R, landsat, and sentinel-3 K Li, K Guan, C Jiang, S Wang, B Peng, Y Cai IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 17 | 2021 |
| Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning S Wang, K Guan, C Zhang, C Jiang, Q Zhou, K Li, Z Qin, EA Ainsworth, ... Remote Sensing of Environment 285, 113386, 2023 | 15 | 2023 |
| Airborne hyperspectral imaging of cover crop outcomes and tillage intensity in croplands by machine learning and radiative transfer modeling S Wang, K Guan, Q Zhou, C Zhang, C Jiang, K Li, Z Qin, E Ainsworth, ... AGU Fall Meeting Abstracts 2021, B55K-1320, 2021 | 1 | 2021 |
| Validation of land surface temperature products from MODIS, ECOSTRESS, Landsat, GOES-R, VIIRS and Sentinel-3 benchmarked on in situ measurements in the US Corn Belt K Li, K Guan, C Jiang, S Wang, B Peng, Y Cai AGU Fall Meeting Abstracts 2020, B040-08, 2020 | 1 | 2020 |
| Evaluation of average leaf angle quantified by indirect optical instruments in crop fields K Li, K Guan, C Jiang, G Wu, Z Ma, Z Li AGU Fall Meeting Abstracts 2022, B42I-1741, 2022 | | 2022 |
| Quantification of high-resolution surface soil organic carbon in croplands using airborne imaging spectroscopy, soil database, and deep learning S Wang, K Guan, J Su, D Lee, C Jang, Q Zhou, K Li, J Peng, Y Huang, ... AGU Fall Meeting Abstracts 2020, GC122-05, 2020 | | 2020 |
| Towards an operational framework to map crop functional and structural traits from airborne hyperspectral imagery S Wang, K Guan, Z Wang, EA Ainsworth, PA Townsend, K Li AGU Fall Meeting Abstracts 2019, B11G-2346, 2019 | | 2019 |
