Hu, Q.; Zhang, L.; Drahota, J.; Woldt, W.; Varner, D.; Bishop, A.; LaGrange, T.; Neale, C.M.U.; Tang, Z.
Combining Multi-View UAV Photogrammetry, Thermal Imaging, and Computer Vision Can Derive Cost-Effective Ecological Indicators for Habitat Assessment. Remote Sens. 2024, 16, 1081.
https://doi.org/10.3390/rs16061081
AMA Style
Hu Q, Zhang L, Drahota J, Woldt W, Varner D, Bishop A, LaGrange T, Neale CMU, Tang Z.
Combining Multi-View UAV Photogrammetry, Thermal Imaging, and Computer Vision Can Derive Cost-Effective Ecological Indicators for Habitat Assessment. Remote Sensing. 2024; 16(6):1081.
https://doi.org/10.3390/rs16061081
Chicago/Turabian Style
Hu, Qiao, Ligang Zhang, Jeff Drahota, Wayne Woldt, Dana Varner, Andy Bishop, Ted LaGrange, Christopher M. U. Neale, and Zhenghong Tang.
2024. "Combining Multi-View UAV Photogrammetry, Thermal Imaging, and Computer Vision Can Derive Cost-Effective Ecological Indicators for Habitat Assessment" Remote Sensing 16, no. 6: 1081.
https://doi.org/10.3390/rs16061081
APA Style
Hu, Q., Zhang, L., Drahota, J., Woldt, W., Varner, D., Bishop, A., LaGrange, T., Neale, C. M. U., & Tang, Z.
(2024). Combining Multi-View UAV Photogrammetry, Thermal Imaging, and Computer Vision Can Derive Cost-Effective Ecological Indicators for Habitat Assessment. Remote Sensing, 16(6), 1081.
https://doi.org/10.3390/rs16061081
