Zhijie Zhou and Tianci Guo in our lab received the first and second places in the Student Paper Competition of the UCGIS Symposium (2025). Congratulations!! We also organized the workshop “From field(view) to your table: Retrieving object-based crop type ground truth from street view and satellite imagery with an operational GeoAI workflow” for our NSF-supported […]

We develop a novel Normalized Harvest Phenology Index (NHPI) that integrates the Normalized Difference Vegetation Index (NDVI) and the Near-Infrared (NIR) reflectance to accurately monitor whether fields of corn and soybean have been harvested. Leveraging the distinct separability of NIR reflectance for corn and soybean before harvesting (senescent plants) and after harvesting (crop residue), combined […]

Yin Liu in our lab has been awarded a Planet fellowship, which is awarded through a collaboration between Planet Labs and the Taylor Geospatial Institute (TGI). The goal of the fellowship program is to support the research of PhD students at TGI institutions and to promote the use of Planet datasets to address societal challenges […]

Yin Liu in our lab won the second place in the Student Honors Paper Competition in the AAG Annual Meeting (2025), organized by the Remote Sensing Specialty Group (RSSG). His paper presentation is “A novel Harvest Phenology Index (HPI) for corn and soybean harvesting date mapping using Landsat and Sentinel-2 imagery on Google Earth Engine”. […]

Zhijie Zhou in our lab received the Outstanding Student Presentation Award from the Global Environmental Change Section, American Geophysical Union Fall Meeting (2024). His paper presentation is “CropSight-US: An object-based crop type ground truth dataset using street view and Sentinel-2 satellite imagery across the contiguous United States”. Congratulations!!