Li, Z., Huffman, T., McConkey and Townley-Smith, L., 2013, Monitoring and modeling spatial and temporal patterns of grassland dynamics using time-series MODIS NDVI with climate and stocking data. Environmental Monitoring and Assessment, 187(1): 4101-4117. Liu, H., Huffman, T., Liu, J., Li, Z., Daneshfar, B., and Zhang, X., 2015, Integration of multi-disciplinary geospatial data for delineating agroecosystem uniform management zones.
Huffman, T., Liu, J., Green, M., Coote, D., Li, Z., Liu, H., Liu, T., Zhang, X., Du, Y., 2015, Improving and evaluating the soil cover indicator for agricultural land in Canada, Ecological Indicators, 48: 272-281. ISPRS Journal of Photogrammetry and Remote Sensing, 170, 156-173. Yang, Y., Ren, W., Tao, B., Ji, L., Liang, L., Ruane, A., Fisher, J., Liu, J., Sama, M., Li, Z., and Tian, L., 2020, Characterizing spatiotemporal patterns of crop phenology across North America during 2000-2016 using satellite imagery and agricultural survey data. Landscape conservation/Human-environmental interactionsĪgri-environment (crop yield, soil capability, soil cover, soil moisture) Species habitat distribution modeling/reserve planning/biodiversity prediction Spatial and temporal analysis (grassland dynamics, crop phenology) Land use/cover change modeling (cellular automata, Markov chain) Land use/cover mapping (crop and vegetation) Geographical Information Systems (GIS) /Web GIS/Spatial big data Hydrological/hydraulic modeling/Flood inundation modeling and mapping Machine learning (e.g., OLR, PCA, Naïve Bayes, KNN, SVM, RF, ANN, SOM, ARTMAP) and deep learning algorithm design and applications (e.g., DNN, CNN, RNN, GAN)Īpplication of assimilated data including NLDAS-2, GLDAS 2.1, GSF, CSF, PRISM and GRIDMET
Google Earth Engine, Python, Jupyter Notebook, COLAB, Tensorflow Sentinel-1 SAR, UAVSAR, ALOS PolSAR, RADARSAT-2, Sentinel-2 MSI, Sentinel-3, Sentinel-5P, Landsat 5, 7 and 8, ASTER, SPOT, MODIS, VIIRS, PROBA V, GeoEye, WorldView, Planet, AVHRR, SMOS, SMAP, GOES-16, GOES-17, GRACE/GRACE-FO, ICESat 2, SWOT, NISAR Remote Sensing (multispectral and hyperspectral analysis, SAR, LiDAR, and CIR photography processing, change detection, semantic segmentation, instance segmentation, object detection, feature categorization) in Geography, Clark University, Worcester, Massachusetts, USA
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