| Estimation of leaf nitrogen content in wheat using new hyperspectral indices and a random forest regression algorithm L Liang, L Di, T Huang, J Wang, L Lin, L Wang, M Yang Remote Sensing 10 (12), 1940, 2018 | 140 | 2018 |
| Machine-learned prediction of annual crop planting in the US Corn Belt based on historical crop planting maps C Zhang, L Di, L Lin, L Guo Computers and Electronics in Agriculture 166, 104989, 2019 | 80 | 2019 |
| A review of remote sensing in flood assessment L Lin, L Di, EG Yu, L Kang, R Shrestha, MS Rahman, J Tang, M Deng, ... 2016 Fifth International Conference on Agro-Geoinformatics (Agro …, 2016 | 73 | 2016 |
| Towards automation of in-season crop type mapping using spatiotemporal crop information and remote sensing data C Zhang, L Di, L Lin, H Li, L Guo, Z Yang, GY Eugene, Y Di, A Yang Agricultural Systems 201, 103462, 2022 | 72 | 2022 |
| Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer C Zhang, L Di, P Hao, Z Yang, L Lin, H Zhao, L Guo International Journal of Applied Earth Observation and Geoinformation 102 …, 2021 | 67 | 2021 |
| Improvement and validation of NASA/MODIS NRT global flood mapping L Lin, L Di, J Tang, E Yu, C Zhang, MS Rahman, R Shrestha, L Kang Remote Sensing 11 (2), 205, 2019 | 67 | 2019 |
| Remote sensing based rapid assessment of flood crop damage using novel disaster vegetation damage index (DVDI) MS Rahman, L Di, E Yu, L Lin, Z Yu International Journal of Disaster Risk Science 12, 90-110, 2021 | 63 | 2021 |
| Rapid flood progress monitoring in cropland with NASA SMAP MS Rahman, L Di, E Yu, L Lin, C Zhang, J Tang Remote Sensing 11 (2), 191, 2019 | 57 | 2019 |
| Validation and refinement of cropland data layer using a spatial-temporal decision tree algorithm L Lin, L Di, C Zhang, L Guo, Y Di, H Li, A Yang Scientific Data 9 (1), 63, 2022 | 51 | 2022 |
| AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine C Zhang, L Di, Z Yang, L Lin, P Hao Environmental Modelling & Software 129, 104694, 2020 | 50 | 2020 |
| Selection of landsat 8 OLI band combinations for land use and land cover classification Z Yu, L Di, R Yang, J Tang, L Lin, C Zhang, MS Rahman, H Zhao, ... 2019 8th International Conference on Agro-Geoinformatics (Agro …, 2019 | 48 | 2019 |
| Impact of climate change on soil salinity: a remote sensing based investigation in coastal Bangladesh MS Rahman, L Di, GY Eugene, J Tang, L Lin, C Zhang, Z Yu, J Gaigalas 2018 7th International Conference on Agro-geoinformatics (Agro …, 2018 | 40 | 2018 |
| DVDI: A new remotely sensed index for measuring vegetation damage caused by natural disasters L Di, E Yu, R Shrestha, L Lin IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 37 | 2018 |
| Remote Sensing of Urban Poverty and Gentrification L Lin, L Di, C Zhang, L Guo, Y Di Remote Sensing 13 (20), 4022, 2021 | 36 | 2021 |
| Exploring cloud-based Web Processing Service: A case study on the implementation of CMAQ as a Service C Zhang, L Di, Z Sun, L Lin, GY Eugene, J Gaigalas Environmental Modelling & Software 113, 29-41, 2019 | 36 | 2019 |
| Improvement Of In-season Crop Mapping For Illinois Cropland Using Multiple Machine Learning Classifiers H Li, L Di, C Zhang, L Lin, L Guo 2022 10th International Conference on Agro-geoinformatics (Agro …, 2022 | 33 | 2022 |
| Evaluating contributions of urbanization and global climate change to urban land surface temperature change: a case study in Lagos, Nigeria L Guo, L Di, C Zhang, L Lin, F Chen, A Molla Scientific Reports 12 (1), 14168, 2022 | 31 | 2022 |
| Integrating OGC Web Processing Service with cloud computing environment for Earth Observation data C Zhang, L Di, Z Sun, GY Eugene, L Hu, L Lin, J Tang, MS Rahman 2017 6th International Conference on Agro-Geoinformatics, 1-4, 2017 | 31 | 2017 |
| Agriculture flood mapping with Soil Moisture Active Passive (SMAP) data: A case of 2016 Louisiana flood MS Rahman, L Di, R Shrestha, GY Eugene, L Lin, C Zhang, L Hu, J Tang, ... 2017 6th International Conference on Agro-Geoinformatics, 1-6, 2017 | 30 | 2017 |
| Regression based corn yield assessment using MODIS based daily NDVI in Iowa state R Shrestha, L Di, GY Eugene, L Kang, L Li, MS Rahman, M Deng, Z Yang 2016 Fifth International Conference on Agro-Geoinformatics (Agro …, 2016 | 30 | 2016 |
Liping DiProfessor of Geographic Information Science, George Mason UniversityVerified email at gmu.edu