Farhad, M. M.,
Senyurek, V., Baray, S. B.,
McCraine, C.,
Hathcock, L. A., Adeli, A., Yanbo, H.,
Gurbuz, A., & Kurum, M. (2025). Integrating UAS-based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results from a Three-Year Long Field Campaign.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE.
1, 1-21.
DOI:10.1109/JSTARS.2025.3580114. [
Abstract] [
Document Site]
Shrestha, A., Bheemanahalli, R., Adeli, A., Samiappan, S.,
Prince Czarnecki, J. M.,
McCraine, C., Reddy, R., &
Moorhead, R. J. (2023). Phenological Stage and Vegetation Index for Predicting Corn Yield under Rainfed Environments.
Frontiers in Plant Science.
14, 12.
DOI:10.3389/fpls.2023.1168732.
Hu, J., Miles, D. M.,
McCraine, C., &
Moorhead, R. J. (2022). Application of Small Unmanned Aerial Vehicle (sUAV) to Monitor CO2 in Cropping Systems.
ASA, CSSA, SSSA International Annual Meeting. Baltimore, MD. [
Document Site]
McCraine, C., Bheemanahalli, R.,
Senyurek, V., & Hu, J. (2022). A Framework for Relating UAS Data to Soil Moisture and Health.
STRATUS 2022 Conference. Syracuse, NY.
Prince Czarnecki, J. M., Samiappan, S., Zhou, M.,
McCraine, C., & Wasson, L. L. (2021). Real-Time Automated Classification of Sky Conditions Using Deep Learning and Edge Computing.
Remote Sensing. MDPI.
13(19), 3859.
DOI:/10.3390/rs13193859. [
Abstract] [
Document Site]