Liping Di
Liping Di
Professor of Geographic Information Science, George Mason University
Verified email at
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CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support
W Han, Z Yang, R Mueller, L Di
Computers and Electronics in Agriculture 84, 111–123, 2012
Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method
L Liang, L Di, L Zhang, M Deng, Z Qin, S Zhao, H Lin
Remote Sensing of Environment 165, 123-134, 2015
Modeling Relationships between NDVI and Precipitation during Vegetative Growth Cycle
L Di, DC Rundquist, L Han
International Journal of Remote Sensing 15 (10), 2121-2136, 1994
County-level soybean yield prediction using deep CNN-LSTM model
J Sun, L Di, Z Sun, Y Shen, Z Lai
Sensors 19 (20), 4363, 2019
Semantics-based automatic composition of geospatial Web service chains
P Yue, L Di, W Yang, G Yu, P Zhao
Computers & Geosciences 33 (5), 649-665, 2007
Interoperating geographic information systems
M Goodchild, MJ Egenhofer, R Fegeas, C Kottman
Springer Science & Business Media, 2012
Using long short-term memory recurrent neural network in land cover classification on Landsat and Cropland data layer time series
Z Sun, L Di, H Fang
International journal of remote sensing 40 (2), 593-614, 2019
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
Deriving high spatiotemporal remote sensing images using deep convolutional network
Z Tan, P Yue, L Di, J Tang
Remote Sensing 10 (7), 1066, 2018
The state of the art of spaceborne remote sensing in flood management
MS Rahman, L Di
Natural Hazards 85, 1223-1248, 2017
Statewide groundwater‐vulnerability assessment in nebraska using the drastic/GIS model
DC Rundquist, AJ Peters, L Di, DA Rodekohr, RL Ehrman, G Murray
Geocarto international 6 (2), 51-58, 1991
A Decision-Tree Classifier for Extracting Transparent Plastic-Mulched Landcover from Landsat-5 TM Images
L Lu, L Di, Y Ye
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer
R Shrestha, L Di, GY Eugene, L Kang, Y SHAO, Y BAI
Journal of Integrative Agriculture 16 (2), 398-407, 2017
Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method
L Liang, Z Qin, S Zhao, L Di, C Zhang, M Deng, H Lin, L Zhang, L Wang, ...
International Journal of Remote Sensing 37 (13), 2923-2949, 2016
Classification of cities in Bangladesh based on remote sensing derived spatial characteristics
MS Rahman, H Mohiuddin, AA Kafy, PK Sheel, L Di
Journal of Urban Management 8 (2), 206-224, 2019
Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples
P Hao, L Di, C Zhang, L Guo
Science of The Total Environment 733, 138869, 2020
An enhanced deep convolutional model for spatiotemporal image fusion
Z Tan, L Di, M Zhang, L Guo, M Gao
Remote Sensing 11 (24), 2898, 2019
Multilevel deep learning network for county-level corn yield estimation in the us corn belt
J Sun, Z Lai, L Di, Z Sun, J Tao, Y Shen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
A flexible geospatial sensor observation service for diverse sensor data based on Web service
N Chen, L Di, G Yu, M Min
ISPRS Journal of Photogrammetry and Remote Sensing 64 (2), 234-242, 2009
GeoBrain-a web services based geospatial knowledge building system
L Di
Proceedings of NASA earth science technology conference, 22-24, 2004
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