New research paper written by Maciej Bartold and Marcin Kluczek from the Remote Sensing Centre has been recently published in the international journal Remote Sensing. The publication entitled A Machine Learning Approach for Mapping Chlorophyll Fluorescence at Inland Wetlands presents the results of work on a new machine learning model for estimating chlorophyll fluorescence in wetland areas based on spatiotemporal data from the latest generation Sentinel-2 satellites. Works related to on-site measurements of chlorophyll fluorescence in the Biebrza Valley were carried out in a scientific research project funded by the National Science Centre under the MINIATURA 5.
Graphical abstract for A Machine Learning Approach for Mapping Chlorophyll Fluorescence at Inland Wetlands
Link to the paper at Remote Sensing: https://doi.org/10.3390/rs15092392
Link to the project: http://www.igik.edu.pl/en/remote-sensing-chlorophyll-fluorescence-measurements-of-biebrza-peatbogs
