Sort by
Refine Your Search
-
Change (RIDC CBioClima) Working area: Phenology, Plant Ecology, Remote Sensing, Climate Change Number of places: 1 Principal investigator: Patrícia Morellato Unit/Instituition: Instituto de Biociências da
-
staff position within a Research Infrastructure? No Offer Description The project aims to apply artificial intelligence (AI) to map agricultural plastic in remote sensing images. The fellow will work
-
biomes. We are looking for a highly motivated researcher, with experience in Phenology and Remote Sensing and the ability to work collaboratively. Must present a PhD in Ecology, Plant Biology, Conservation
-
hours/week, in person; Grant of R$ 9,047.40/month + technical reserve CANDIDATURE REQUIREMENTS Applicants must have a graduate degree in soil science, remote sensing, agronomy, agricultural engineering
-
with remote sensing and hydrological modeling using the SWAT model (Soil and Water Assessment Tools; Q-SWAT and R- SWAT), Knowledge of the Python and R programming language, knowledge in the Brazilian
-
: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network. Sensors, 22(8), 2932. Zaitunah, A., Silitonga, A. F., & Syaufina, L. (2022). Urban greening effect