The following 2 publications cited the product Terrestrial Ecology Subsetting & Visualization Services (TESViS) RESTful Web Service.
| Year | Citation |
|---|---|
| 2022 | Campero-Taboada, M.J., E. Luquin, M. Montesino-SanMartin, M. González-Audícana, and M.A. Campo-Bescós. 2022. Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia). Remote Sensing. 14(14):3404. https://doi.org/10.3390/rs14143404 |
| 2022 | Li, H., J. Zhang, S. Zhang, and Y. Bai. 2022. Machine learning and remote sensing-based modeling of the optimal stomatal behavior of crops. Computers and Electronics in Agriculture. 200:107261. https://doi.org/10.1016/j.compag.2022.107261 |