# Investigating the Impact of Wildfires on Lake Water Quality Using Earth Observation Satellites
## 5 Conclusions
In many cases, however, no clear response was identified, indicating that some lakes may be resilient, probably depending on specific catchment properties and in-stream or in-lake processes. Although satellite remote sensing remains the most feasible approach for global analysis, delivering data at the required frequency and spatial scales needed, it might provide better ecological insights when combined with datasets from different sources. The following supporting information can be downloaded at [[https://www.mdpi.com/article/10.3390/app14062626/s1](https://www.mdpi.com/article/10.3390/app14062626/s1)]([https://www.mdpi.com/article/10.3390/app14062626/s1](https://www.mdpi.com/article/10.3390/app14062626/s1)), Table S1. Indicator values for cluster analysis carried out on 2011 burned vegetation types (100% = perfect indicator i.e., Land Cover (LC) burn occurs in only that cluster); Table S2. List of 106 selected lakes (list and maps at this link: [[https://gws-access.jasmin.ac.uk/public/cds_cds_lakes/CCL_LAKES/CCL_LAKE_LIST_v2/LAKE_LIST_MASK_CCL_v2_UoR_fv1.0.html](https://gws-access.jasmin.ac.uk/public/cds_cds_lakes/CCL_LAKES/CCL_LAKE_LIST_v2/LAKE_LIST_MASK_CCL_v2_UoR_fv1.0.html)]([https://gws-access.jasmin.ac.uk/public/cds_cds_lakes/CCL_LAKES/CCL_LAKE_LIST_v2/LAKE_LIST_MASK_CCL_v2_UoR_fv1.0.html](https://gws-access.jasmin.ac.uk/public/cds_cds_lakes/CCL_LAKES/CCL_LAKE_LIST_v2/LAKE_LIST_MASK_CCL_v2_UoR_fv1.0.html)) accessed on 1 March 2022); Table S3. Results of the multinomial logistic regression analysis between category changes (increase, decrease) in chlorophyll-a (Chl-a) or turbidity and geographical factors, land cover, fire extension, and rainfall; Figure S1. Graphs of the percentage of the 106 lakes in each class of the following lake characteristics: mean chlorophyll-a (Chl-a) concentration for the period 2017-2020 (A), mean turbidity concentration for the period 2017-2020 (B), lake area (C), lake total volume (D), residence time (E), elevation (F); Figure S2. Result graphs of the boosted regression analysis to investigate the drivers of timing of first and maximum peaks of chlorophyll-a (Chl-a; upper graphs) and turbidity (lower graphs) after a fire occurrence. R.C. : Conceptualization, Methodology, Validation, Formal analysis, Writing Original Draft, Review and Editing. M.P. : Conceptualization, Methodology, Formal analysis, Writing--Original Draft, Review and Editing. G.F.: Conceptualization, Methodology, Writing--Review and Editing. D.S. : Methodology, Writing--Review and Editing. L.P.: Methodology, Formal Analysis. G.T. : Methodology, Formal Analysis. M.B. : Conceptualization, Methodology, Resources, Writing--Review and Editing. C.A. : Resources, Writing--Review and Editing. C.G. : Conceptualization and Design, Resources, Writing--Review and Editing. All authors have read and agreed to the published version of the manuscript. This work is supported by the Lakes_cci (contract n. 40000125030/18/I-NB) and Fire_cci (contract n. 4000126706/19/I-NB) projects which are both part of the ESA Climate Change Initiative. Not applicable. **Data Availability Statement:** Satellite products from both the Fire_cci and Lakes_cci projects were downloaded from the Centre for Environmental Data Analysis (CEDA, [[https://catalogue.ceda.ac.uk/](https://catalogue.ceda.ac.uk/)]([https://catalogue.ceda.ac.uk/](https://catalogue.ceda.ac.uk/)), accessed on 14 September 2023) archive within the ESA_cci Open Data Portal project framework. Lake and catchment area data were downloaded from the global HydroSHEDS database ([[https://www.hydrosheds.org/page/hydrolakes](https://www.hydrosheds.org/page/hydrolakes)]([https://www.hydrosheds.org/page/hydrolakes](https://www.hydrosheds.org/page/hydrolakes)), [[https://www.hydrosheds.org/products/hydroshains](https://www.hydrosheds.org/products/hydroshains)]([https://www.hydrosheds.org/products/hydroshains](https://www.hydrosheds.org/products/hydroshains)) accessed on 1 February 2022).