 Wetlands play a vital role in climate change mitigation, adaptation, biodiversity, and human health and prosperity. To monitor their health, it is important to measure the amount of chlorophyll fluorescence, CHF, emitted by plants. This can be done by applying the extreme gradient boost, XG boost, algorithm to map CHF in the Bebrza Valley, Poland. The XG boost algorithm was used to analyze sentinel, two satellite images to accurately estimate CHF with a high determination of 0.71 and low bias of 0.012. Additionally, the model performance results showed that biophysical factors such as greenness and leaf pigments were captured by spectral indices. Utilizing vegetation indices based on extended periods of remote sensing data that better capture land phenology features could further improve the accuracy of mapping CHF. This article was authored by Maciej Bartold and Marcin Klucksek. We are article.tv, links in the description below.