Research

Wu, Q., (2026). GeoAI: A Python package for integrating artificial intelligence with geospatial data analysis and visualization. Journal of Open Source Software, 11(118), 9605, Wu (2026)

Khare, A., Gupta, B.C., Rajib, A., Vanderhoof, M., Wu, Q. (2025). Estimates of global surface water dynamics harnessing near real-time land cover observations and open science geospatial capabilities. Environmental Research Letters. 20, 124042. https://doi.org/10.1088/1748-9326/ae137b

Islam, Shakibul, Wu, Q., Islam, M. R., & Abdullah, H. M. (2025). Unveiling the Drivers of Unplanned Urbanization: A High-Resolution Night Light Development Index Approach for Assessing Regional Inequality and Urban Growth in Dhaka. Remote Sensing, 17(8), 1397. Shakibul Islam et al. (2025)

Sarigai, S., Yang, L., Slack, K., Lane, K.M.D., Buenemann, M., Wu, Q., Woodhull, G., Driscol, J. (2025). dciWebMapper: A Data-Driven and Coordinated View-Enabled Interactive Web Mapping Framework for Visualizing and Sensing High-Dimensional Geospatial (Big) Data. Transactions in GIS, 29: e13277. Sarigai et al. (2024)

Lu, B., Francescutto, L., Howie, S., Lin, H., Wu, Q., Hedley, N., ... McDonald, I. (2025). Exploring the concept of digital twins of wetlands for supporting ecosystem monitoring and management. Big Earth Data, 1--31. Lu et al. (2025)

Forgrave, R., Evenson, G.R., Golden, H.E., Christensen, J.R., Lane, C.R., Wu, Q., D’Amico, E., Prenger, J. (2024). Wetland-mediated nitrate reductions attenuate downstream: Insights from a modeling study. Journal of Environmental Management, 370, 122500. Forgrave et al. (2024).

Liu, B., & Wu, Q. (2024). HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments. Journal of Open Source Software, 9(100), 7025. Liu et al. (2024).

Che, Y., Li, X., Liu, X., Xu, X., Huang, K., ..., Wu, Q., Arehart, J.H., Yuan, W. & Li, X. (2024). Mapping of individual building heights reveals the large gap of urban-rural living spaces in the contiguous US. The Innovation Geoscience, 100069-1. Che et al. (2024)

Liu, S., Wang, C., Chen, Z., Li, Q., Wu, Q., Li, Y., Wu, J., Yu, B. (2024). Enhancing nighttime light remote Sensing: Introducing the nighttime light background value (NLBV) for urban applications. International Journal of Applied Earth Observation and Geoinformation, 126, 103626. Liu et al. (2024)

Wu, Q. (2024). Sharing Work in Earth Engine: Basic UI and Apps. In: Cardille, J.A., Crowley, M.A., Saah, D., Clinton, N.E. (eds), Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications. Springer. Wu et al. (2023)

Rajib, A., Khare, A., Golden, H.E., Gupta, B.C., Wu, Q., Lane, C.R., ... & McFall, B.C. (2023). A call for consistency and integration in global surface water estimates. Environmental Research Letters, 19(2), 021002. Rajib et al. (2024)

Li, M., Liu, T., Duan, L., Ma, L., Wu, Q., Wang, Y., & Wang, S. (2023). Confluence Simulations Based on Dynamic Channel Parameters in the Grasslands Lacking Historical Measurements. Journal of Hydrology, 130425. Li et al. (2023)

Osco, L.P., Wu, Q., de Lemos, E.L., et. al. (2023). The Segment Anything Model (SAM) for remote sensing applications: From zero to one shot. International Journal of Applied Earth Observation and Geoinformation, 124, 103540. Osco et al. (2023)

Chen. H., Yang. L., & Wu, Q. (2023). Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine Learning Approach Using Google Earth Engine. Remote Sensing, 15(18), 4585. https://doi.org/10.3390/rs15184585

Wu, Q., & Osco, L. P. (2023). samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM). Journal of Open Source Software, 8(89), 5663. Wu et al. (2023)

Wu, B., Song, Z., Wu, Q., Wu, J., & Yu. B. (2023). A Vegetation Nighttime Condition Index Derived From The Triangular Feature Space between Nighttime Light Intensity and Vegetation Index. IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 561811. Wu et al. (2023)

Crowley, M. A., Stuhlmacher, M., Trochim, E. D., Van Den Hoek, J., Pasquarella, V. J., Szeto, S. H., ..., Markert, K., Wu, Q., et al. (2023). Pillars of cloud-based Earth observation science education. AGU Advances, 4, e2023AV000894. Crowley et al. (2023)

Lane, C. R., D’Amico, E., Christensen, J. R., Golden, H. E., Wu, Q., & Rajib, A. (2023). Mapping Global Non-Floodplain Wetlands. Earth System Science Data, 15, 2927--2955, Lane et al. (2023)

Evenson, G.R., Golden, H.E., Christensen, J.R., Lane, C.R., Kalcic, M.M., Rajib, A., Wu, Q., Mahoney, D.T., White, E., D’Amico, E. (2023). River Basin Simulations Reveal Wide-Ranging Wetland-Mediated Nitrate Reductions. Environmental Science and Technology, 57(26), 9822-9831. Evenson et al. (2023)

Lane, C.R., Creed, I.F., Golden, H.E., Leibowitz, S.G., Mushet, D.M., Rains, M.C., Wu, Q., et al. (2023). Vulnerable Waters are Essential to Watershed Resilience. Ecosystems, 26(1), 1-28. Lane et al. (2022)

Wu, B., Yang, C., Wu, Q., Wang, C., Wu, J., & Yu, B. (2023). A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity. Computers, Environment and Urban Systems, 99, 101911, Wu et al. (2023)

Wu, B., Yang, L., Wu, Q., Zhao, Y., Pan, Z., ... & Yu, B. (2022). A Stepwise Minimum Spanning Tree Matching Method for Registering Vehicle-borne and Backpack LiDAR Point Clouds. IEEE Transactions on Geoscience and Remote Sensing, 60, 5705713. Wu et al. (2022)

Shi, D., Wu, Q., Shi, Y., Li, Z., Xia, B., Chen, Y., ... & Li, Y. (2022). Multidimensional assessment of soil conservation ecosystem services and multiscale analysis of influencing mechanisms. Journal of Cleaner Production, 381, 135162. https://doi.org/10.1016/j.jclepro.2022.135162

Zhou, Y., Li, X., Chen, W., Meng, L., Wu, Q., Gong, P., & Seto, K. C. (2022). Satellite mapping of urban built-up heights reveals extreme infrastructure gaps and inequalities in the Global South. Proceedings of the National Academy of Sciences, 119(46), e2214813119. Zhou et al. (2022)

Yang L., Driscol J., Sarigai S., Wu Q., Chen H., & Lippitt C.D. (2022). Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review. Remote Sensing, 14(14), 3253. Yang et al. (2022)

Chen, Z., Yu, B., Li, Y., Wu, Q., Wu, B., Huang, Y., ... & Wu, J. (2022). Assessing the potential and utilization of solar energy at the building scale in Shanghai. Sustainable Cities and Society, 103917. Chen et al. (2022)

Yang, L., Driscol, J., Sarigai, S., Wu, Q., Lippitt, C.D., & Morgan, M. (2022). Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing. Sensors, 22, 2416. Yang et al. (2022)

Li, Y., Song, Z., Wu, B., Yu, B., Wu, Q., Hong, Y., Liu, S., & Wu, J. (2022). Evaluating the ability of NOAA-20 monthly composite data for socioeconomic indicators estimation and urban area extraction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 1837-1845. Li et al. (2022)

Wu, B., Yang, C., Chen, Z., Wu, Q., Yu, S., Wang, C., Li, Q., Wu, J., & Yu, B. (2021). The relationship between urban 2D/3D landscape pattern and nighttime light intensity. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 478-489. Wu et al. (2022)

Rajib, A., Zheng, Q., Golden, H.E, Wu, Q., Lane, C.R., Christensen, J.R., et al. (2021). The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset. Nature Scientific Data, 8, 271. Rajib et al. (2021)

Hong, Y., Wu, B., Song, Z., Li, Y., Wu, Q., Chen, Z., et al., & Yu, B. (2021). A monthly night-time light composite dataset of NOAA-20 in China: a multi-scale comparison with S-NPP. International Journal of Remote Sensing, 42(20), 7931-7951. Hong et al. (2021)

Shi, D., Shi, Y., & Wu, Q.* (2021). Multidimensional Assessment of Lake Water Ecosystem Services Using Remote Sensing. Remote Sensing, 13(17), 3540. Shi et al. (2021)

Evenson, E., Golden, H.E., Christensen, J., Lane, C.R., Rajib, A., et al. & Wu, Q. (2021). Wetland restoration yields dynamic nitrate responses across the Upper Mississippi River basin. Environmental Research Communications, 3(9), 095002. Evenson et al. (2021)

Golden, H.E., Lane, C.R., Rajib, A., & Wu, Q. (2021). Improving global flood and drought predictions: integrating non-floodplain wetlands into watershed hydrologic models. Environmental Research Letters, 16(9), 1. Golden et al. (2021)

Wu, Q.*, (2021). Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. Journal of Open Source Software, 6(63), 3414. Wu (2021)

Li, X., Zhang, J., Li, Z., Hu, T., Wu, Q., Yang., J., et al. (2021). Critical role of temporal contexts in evaluating urban cellular automata models. GIScience & Remote Sensing, 58(6), 799-811. Li et al. (2021)

Chen, H., Wu, B., Yu, B., Chen, Z., Wu, Q., Lian T., Wang, C., Li, Q., & Wu, J. (2021). A New Method for Building-Level Population Estimation by Integrating LiDAR, Nighttime Light, and POI Data. Journal of Remote Sensing, Article ID 9803796. Chen et al. (2021)

Wu, Q.*, (2021). lidar: A Python package for terrain and hydrological analysis using digital elevation models. Journal of Open Source Software, 6(59), 2965. Wu (2021)

Wang, S., Alexander, P., Wu, Q., Tedesco, M., & Shu, S. (2021). Characterization of ice shelf fracture features using ICESat-2 -- a case study over the Amery Ice Shelf. Remote Sensing of Environment, 255, 112266. Wang et al. (2021)

Wu, B., Yu, B., Shu, S., Wu, Q., Zhao, Y., & Wu, J. (2021). A spatiotemporal structural graph for detecting land cover changes. International Journal of Geographical Information Science, 35(2), 397-425. Wu (2020)

Shi, D., Shi, Y., Wu, Q.*, & Fang, R. (2020). Multidimensional Assessment of Food Provisioning Ecosystem Services Using Remote Sensing and Agricultural Statistics. Remote Sensing, 12(23), 3955. Shi et al. (2020)

Wang, L., Xu, M., Liu, Y., Liu, H., Beck, R.A., ..., & Wu, Q. (2020). Mapping Freshwater Chlorophyll-a Concentrations at a Regional Scale Integrating Multi-Sensor Satellite Observations with Google Earth Engine. Remote Sensing, 12(20), 3278. Wang et al. (2020)

Amani, M., Ghorbanian, A., Ahmadi, A., Kakooei, M., ..., Wu, Q., & Brisco, B. (2020). Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5326--5350. Amani et al. (2020)

Chen, W., Zhou, Y., Wu, Q., Chen, G., Huang, X., & Yu, B. (2020). Urban building type mapping using geospatial data: a case study of Beijing, China. Remote Sensing, 12(17), 2805. Chen et al. (2020)

Aybar, C., Wu, Q., Bautista, L., Yali, R., & Barja, A. (2020). rgee: An R package for interacting with Google Earth Engine. Journal of Open Source Software, 5(51), 2272. Aybar et al. (2020)

Wu, Q.*, (2020). geemap: A Python package for interactive mapping with Google Earth Engine. Journal of Open Source Software, 5(51), 2305. Wu (2020)

Rajib, A., Golden, H.E., Lane, C.R., & Wu, Q. (2020). Surface depression and wetland water storage improve major river basin hydrologic predictions. Water Resources Research, 56(7), e2019WR026561. Rajib et al. (2020)

Liu, X., Huang, Y., Xu, X., Li, X., ..., Wu, Q., Huang, K., Estes, L., & Zeng, Z. (2020). High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015. Nature Sustainability, 3(7), 564-570. Liu et al. (2020)

Berhane T., Lane, C.R., Mengistu, S., Christensen, J.R., Golden, H.E., Qiu, S., Zhu, Z., & Wu, Q. (2020). Land-cover changes to surface-water buffers in the Midwestern USA: 25 years of Landsat analyses (1993-2017). Remote Sensing, 12(5), 754. Berhane et al. (2020)

Wang, C., Chen, Z., Yang, C., Li, Q., Wu, Q., Wu, J., Zhang, G., & Yu, B. (2020). Analyzing parcel-level relationships between Luojia 1-01 nighttime light intensity and artificial surface features across Shanghai, China: A comparison with NPP-VIIRS data. International Journal of Applied Earth Observation and GeoInformation, 85, 101989. Wang et al. (2020)

Zhao, K., Wulder, M. A., Hu, T., Bright, R., Wu, Q., Qin, H., Li, Y., Toman, E., Mallick B., Zhang, X., & Brown, M. (2019). Detect change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm. Remote Sensing of Environment, 232, 111181. Zhao et al. (2019)

Li, X., Zhou, Y., Meng, L., Asrar, G. R., Lu, C., & Wu, Q. (2019). A dataset of 30 m annual vegetation phenology indicators (1985--2015) in urban areas of the conterminous United States. Earth System Science Data, 11(2), 881-894. Li et al. (2019)

Golden, H.E., Rajib, A., Lane, C.R., Christensen, J.R., Wu, Q., & Mengistu, S. (2019). Non-Floodplain Wetlands Affect Watershed Nutrient Dynamics: A Critical Review. Environmental Science & Technology, 53 (13), 7203-7214. Golden et al. (2019)

Wu, Q.*, Lane, C.R., Li, X., Zhao, K., Zhou, Y., Clinton, N., DeVries, B., Golden, H.E., & Lang, M.W. (2019). Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine. Remote Sensing of Environment, 228, 1-13. Wu et al. (2019)

Wu, B., Yu, B., Yao, S., Wu, Q., Chen, Z., & Wu, J. (2019). A surface network based method for studying urban hierarchies by nighttime light remote sensing data. International Journal of Geographical Information Science, 33(7), 1377-1398. Wu et al. (2019)

Wu, Q.*, Lane, C.R., Wang, L., Vanderhoof, M.K., Christensen, J.R., & Liu, H. (2019). Efficient Delineation of Nested Depression Hierarchy in Digital Elevation Models for Hydrological Analysis Using Level-Set Method. JAWRA Journal of the American Water Resources Association, 55(2), 354-368. Wu (2018)

Beck, R., Xu, M., Zhan, S., Johansen, R., Liu, H., Tong, S., ... & Wu, Q. (2019). Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery and dense coincident surface observations. Journal of Great Lakes Research, 45(3), 413-433. Beck et al. (2019)

Yu, B., Tang, M., Wu, Q., Yang, C., Deng, S., Shi, K., ... & Chen, Z. (2018). Urban built-up area extraction from log-transformed NPP-VIIRS nighttime light composite data. IEEE Geoscience and Remote Sensing Letters, 15(8), 1279-1283. Yu et al. (2018)

Berhane, T. M., Lane, C.R., Wu, Q., Autrey, B.C., Anenkhonov, O., Chepinoga, V., & Liu, H. (2018). Decision-tree, rule-based, and random forest classification of high-resolution multispectral imagery for wetland mapping and inventory. Remote Sensing, 10(4), 580. Berhane et al. (2018)

Wu, Q.* (2018). GIS and Remote Sensing Applications in Wetland Mapping and Monitoring. In: Huang, B. (Ed.), Comprehensive Geographic Information Systems, Vol. 2, pp. 140-157. Oxford: Elsevier. Wu (2018)

Berhane, T.M., Lane, C.R., Wu, Q., Anenkhonov, O., Chepinoga, V., Autrey, B.C., & Liu, H. (2018). Comparing pixel-and object-based approaches in effectively classifying wetland-dominated landscapes. Remote Sensing, 10(1), 46. Berhane et al. (2017)

Wu, B., Yu, B., Wu, Q., Chen, Z., Yao, S., Huang, Y., & Wu, J. (2018). An extended minimum spanning tree method for characterizing local urban patterns. International Journal of Geographical Information Science, 32(3), 450-475. Wu et al. (2017)

Ye, Z., Liu, H., Chen, Y., Shu, S., Wu, Q., & Wang, S. (2017). Analysis of water level variation of lakes and reservoirs in Xinjiang, China using ICESat laser altimetry data (2003--2009). PloS One, 12(9), e0183800. Ye et al. (2017)

Wu, Q.*, & Lane, C.R. (2017). Delineating wetland catchments and modeling hydrologic connectivity using lidar data and aerial imagery. Hydrology and Earth System Sciences, 21(7), 3579. Wu & Lane (2017)

Jia, Y., Huang, Y., Yu, B., Wu, Q., Yu, S., Wu, J., & Wu, J. (2017). Downscaling land surface temperature data by fusing Suomi NPP-VIIRS and Landsat-8 TIR data. Remote Sensing Letters, 8(12), 1132-1141. Jia et al. (2017)

Chen, Z., Yu, B., Song, W., Liu, H., Wu, Q., Shi, K., & Wu, J. (2017). A new approach for detecting urban centers and their spatial structure with nighttime light remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6305-6319. Chen et al. (2017)

Wang, S., Wu, Q.*, & Ward, D. (2017). Automated delineation and characterization of drumlins using a localized contour tree approach. International Journal of Applied Earth Observation and GeoInformation, 62, 144-156. Wang et al. (2017)

Beck, R., Xu, M., Zhan, S., Liu, H., Johansen, R., Tong, S., ... & Wu, Q. (2017). Comparison of satellite reflectance algorithms for estimating phycocyanin values and cyanobacterial total biovolume in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observations. Remote Sensing, 9(6), 538. Beck et al. (2017)

Wu, B., Yu, B., Wu, Q., Yao, S., Zhao, F., Mao, W., & Wu, J. (2017). A graph-based approach for 3D building model reconstruction from airborne LiDAR point clouds. Remote Sensing, 9(1), 92. Wu et al. (2017)

Wu, Q.*, Su, H., Sherman, D.J., Liu, H., Wozencraft, J.M., Yu, B., & Chen, Z. (2016). A graph-based approach for assessing storm-induced coastal changes. International Journal of Remote Sensing, 37(20), 4854-4873. Wu et al. (2016)

Wu, B., Yu, B., Wu, Q., Huang, Y., Chen, Z., & Wu, J. (2016). Individual tree crown delineation using localized contour tree method and airborne LiDAR data in coniferous forests. International Journal of Applied Earth Observation and Geoinformation, 52, 82-94. Wu et al. (2016)

Wu, Q.*, Deng, C., & Chen, Z. (2016). Automated delineation of karst sinkholes from LiDAR-derived digital elevation models. Geomorphology, 266, 1-10. Wu et al. (2016)

Beck, R., Zhan, S., Liu, H., Tong, S., Yang, B., Xu, M., ... & Wu, Q. (2016). Comparison of satellite reflectance algorithms for estimating chlorophyll-a in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observations. Remote Sensing of Environment, 178, 15-30. Beck et al. (2016)

Wu, Q.*, & Lane, C.R. (2016). Delineation and quantification of wetland depressions in the Prairie Pothole Region of North Dakota. Wetlands, 36(2), 215-227. Wu & Lane (2016)

Wu, B., Yu, B., Huang, C., Wu, Q., & Wu, J. (2016). Automated extraction of ground surface along urban roads from mobile laser scanning point clouds. Remote Sensing Letters, 7(2), 170-179. Wu et al. (2015)

Wu, Q.*, Liu, H., Wang, L., & Deng, C. (2016). Evaluation of AMSR2 soil moisture products over the contiguous United States using in situ data from the International Soil Moisture Network. International Journal of Applied Earth Observation and GeoInformation, 45, 187-199. https://doi.org/10.1016/j.jag.2015.10.011

Su, H., Liu, H., & Wu, Q. (2015). Prediction of water depth from multispectral satellite imagery -- The regression kriging alternative. IEEE Geoscience and Remote Sensing Letters, 12(12), 2511-2515. Su et al. (2015)

Wu, Q.*, Liu, H., Wang, S., Yu, B., Beck, R., & Hinkel, K. (2015). A localized contour tree method for deriving geometric and topological properties of complex surface depressions based on high-resolution topographic data. International Journal of Geographical Information Science, 29(12), 2041-2060. Wu et al. (2015)

Lane, C.R., Liu, H., Autrey, B.C., Anenkhonov, O., Chepinoga, V., & Wu, Q. (2014). Improved wetland classification using eight-band high-resolution satellite imagery and a hybrid approach. Remote Sensing, 6(12), 12187-12216. Lane et al. (2014)

Wu, Q.*, Lane, C.R., & Liu, H. (2014). An effective method for detecting potential woodland vernal pools using high-resolution LiDAR data and aerial imagery. Remote Sensing, 6(11), 11444-11467. Wu et al. (2014)

Townsend-Small, A., Pataki, D.E., Liu, H., Li, Z., Wu, Q., & Thomas, B. (2013). Increasing summer river discharge in southern California, USA, linked to urbanization. Geophysical Research Letters, 40(17), 4643-4647. Townsend‐Small et al. (2013)

Beck, R.A., Hinkel, K.M., Eisner, W.R., Whiteman, D., Arp, C.D., Machida, R., ... & Wu, Q. (2013). Contrasting Historical and Recent Breakup Styles on the Meade River of Arctic Alaska in the Context of a Warming Climate. American Journal of Climate Change, 2(2), 165-172. Beck et al. (2013)

Liu, H., Wang, L., Sherman, D.J., Wu, Q., & Su, H. (2011). Algorithmic foundation and software tools for extracting shoreline features from remote sensing imagery and LiDAR data. Journal of Geographic Information System, 3(2), 99-199. Liu et al. (2011)

Liu, H., Wang, L., Sherman, D., Gao, Y., & Wu, Q. (2010). An object-based conceptual framework and computational method for representing and analyzing coastal morphological changes. International Journal of Geographical Information Science, 24(7), 1015-1041. Liu et al. (2010)

Advancing OPERA Product Accessibility and AI-Enabled Applications through Open-Source Geospatial Frameworks. Sole PI. NASA JPL. 2/1/2026-9/26/2027. $80,000

StateView Program Development and Operations for the State of Tennessee. PI with Michael Camponovo (Co-PI). AmericaView. 2/15/2026-9/30/2026. $10,000

Accelerating and enabling data science workflows for geospatial scientists and analysts. PI. Google Research. 9/1/2024-8/30/2025. $25,000

StateView Program Development and Operations for the State of Tennessee. PI with Michael Camponovo (Co-PI). AmericaView. 12/1/2024-9/14/2025. $10,000

Democratizing Geospatial Data Science for Agricultural Producers. Co-PI with Jinha Jung (PI), & Daniel Quinn. National Agricultural Producer Data Cooperative (NAPDC). 3/1/2024-8/30/2025. $54,600

StateView Program Development and Operations for the State of Tennessee. PI with Liem Tran (Co-PI) and Michael Camponovo (Co-PI). AmericaView. 10/1/2023-9/30/2024. $10,000

Integrating Earth Observations and Ecosystem Models for Improved Characterization and Conservation of Playa Wetlands in the High Plains. Co-PI with Adnan Rajib (PI). USDA Natural Resources Conservation Service. 8/1/2023-9/30/2026. $332,270

Geemap: Interactive mapping and intelligent analysis of geospatial big data with Google Earth Engine. PI with Co-PIs: Liping Yang, Emil Cherrington. NASA E.7 Support for Open Source Tools, Frameworks, and Libraries. 9/1/2022-7/31/2025. $308,947

HydroFlame: An Earth Observation-integrated Hydrologic Modeling Framework for Post-wildfire Water Resource Management. Co-PI with Adnan Rajib (PI), Melanie Vanderhoof (Co-I), Lan Zhao (Co-I), and Nathan Korb (Co-I). NASA Earth Science Applications: Water Resources. 9/1/2022-8/30/2025. $824,020

Engaging Youth in NASA Space Science Imaging. Collaborator with Ping Wang (PI), Eugene Smith, Ganqing Jiang, and Michael Nicholl. NASA Teams Engaging Affiliated Museums and Informal Institutions (2021 TEAM II). 2/1/2022-1/31/2023. $24,939

Evaluating Non-floodplain Wetlands for Flood-Risk Reduction and Nutrient Mediation in the Mississippi River Basin. Co-PI with Adnan Rajib (PI). United States Department of Defense. (award number FAIN #W912HZ2020050). 10/1/2020-2/28/2025. $249,968

Orchestrating the efforts to fight the opioid crisis in Tennessee with geospatial technologies. Co-PI with Liem Tran (PI), Nicholas Nagle (Co-PI). One UT Collaboration & Innovation. 05/2020-05/2022. $49,972

Fine-resolution wetland mapping using high-performance computing and deep learning. PI with Liem Tran. Joint Institute for Computational Sciences. 03/2020-02/2021. The project is assigned a JICS computational scientist Dr. Kwai Wong (about 20% time) to assist in the proposed activities; 1,500 GPU-hours on Bridges GPU-AI provided by XSEDE.

AI for Earth: Wetland Mapping and Monitoring Using Geospatial Big Data and Deep Learning. Sole PI. Microsoft Azure and Esri Award. 02/2018--12/2018. $10,000

Modeling hydrologic connectivity of prairie wetlands using LiDAR data and aerial imagery. Sole PI. American Association of Geographers (AAG) Research Grant. 04/2017--12/2017. $500

Mapping Prairie Wetlands and Modeling Hydrologic Connectivity Using Remote Sensing and GIS. Sole PI. Transdisciplinary Areas of Excellence (TAE) Seed Grant, Binghamton University. 01/2017--12/2017. $2,000

The Upstate Revitalization Initiative -- Johnson City Redevelopment. Co-PI with John Frazier (PI). Presidential Research Initiative Award, Binghamton University. 06/2016--05/2017. $75,000