Remote Sensing for monitoring of forest ecosystems Lucie Homolová and colleagues SITOLA Seminar, 09/03/2022 What to expect today Global Change Research Institute CAS • Short intro to CzechGlobe • Our remote sensing infrastructure • Brief theory about remote sensing – what means „hyperspectral“ • How remote sensing technology can be used for forestry Global Change Research Institute CAS Global Change Research Institute CAS Remote Sensing at CzechGlobe Global Change Research Institute CAS Imaging spectroscopy Laser scanning Thermal scanning Remote Sensing Team & Team of Airborne Activites Flying Laboratory of Imaging Systems Global Change Research Institute CAS CASI-1500 Visible and near infra-red imaging spectroscopy SASI-600 CESSNA 208B Grand Caravan TASI-600 Thermal imaging spectroscopy Riegl LMS – Q780 Laser scanning Quick excursion into RS theory Global Change Research Institute CAS TASI 8 – 11.5 µm SASI 1 – 2.5 µm CASI 0.4 – 1 µm Black body emission curves of the Sun and Earth (http://eesc.columbia.edu) Emitted radiation Reflected radiationActive laser pulses Quick excursion into RS theory Global Change Research Institute CAS R-675nm G-552nm B-458nm R-817nm G-675nm B-552nm Quick excursion into RS theory Global Change Research Institute CAS Hyperspectral data Odrazivost[%] Landsat 8 OLI Sentinel-2 MSI Applications for forestry Global Change Research Institute CAS 3D forest modelling Global Change Research Institute CAS tree separation from a point cloud separation of woody elements reconstructed woody skeleton 3D tree model with shoots overlay with foliage point cloud Janoutová et al. (2019, 2021; https://doi.org/10.1093/insilicoplants/diab026) terrestrial laser scanning MSc. thesis of P. Sloup 3D forest modelling Global Change Research Institute CAS Global Change Research Institute CAS Radiative budget modelling and sensitivity analysis Global Change Research Institute CAS Radiative budget modelling and sensitivity analysis Sensitivity of sun-induced chlorophyll fluorescence signal FLEX Global Change Research Institute CAS 3D reconstruction of larger forest scenes MSc. thesis of A. Jurík Airborne laser scanning data Tree detection Scaling and positioning of individual tree models Forest inventory Global Change Research Institute CAS • Tree identification • Tree species classification • Tree parameters (height, crown diameter, DBH, biomass) • Tree biochemical traits (leaf chlorophyll, water content) Global Change Research Institute CAS Laser scanning -> tree parameters Airborne Terrestrial  Height  DBH = f(H)  Crown base  Crown diameter  Biomass = f(DBH) Global Change Research Institute CAS Forest biomass Brovkina et al. (2016 & 2020), Novotný et al. (2021, 2022) Study site Těšínské Beskydy Biomass Map, 10 m/pix Global Change Research Institute CAS Forest biochemical traits Field data Radiative transfer models (DART+Prospect) Validation Retrievals Machine learning Hyperspectral images Maps of vegetation traits Parameterization Correction Spectral databases Forests from space (satellite data) Global Change Research Institute CAS • Global Forest Watch • Time series analysis, examples from ČR Global Change Research Institute CAS Global products of forest cover loss and gain https://data.globalforestwatch.org/ Global Change Research Institute CAS Landsat data processed in Google Earth Engine 16-day revisit 30 m pixel size 6 bands Global Change Research Institute CAS Trends from Landsat 1984 – 2020 Short-term trends from Sentinel-2 2015 - 2021 Global Change Research Institute CAS Bark beetle infestation mapping Bárta et al. (2021) Seasonal trajectory of wetness vegetation Map of bark beetle infestation stages in autumn 2019 derived from Sentinel-2 BSc. thesis of K. Gutič and V. Lazárik Global Change Research Institute CAS Lucie Homolová homolova.l@czechglobe.cz https://olc.czechglobe.cz/ https://czechglobe.cz/dpz Twitter @RS_CzechGlobe