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2 results for “Fire radiative power”
Role of bark beetle disturbance and fuel types on fire radiative power and burn severity in the Bohemian-Saxon Switzerland - Data and Material.
<p>This data repository includes different datasets for fuel types, burn severity, fire radiative power and burned area, which were analysed and used in our paper on the <strong>Role of bark beetle disturbance and fuel types on fire radiative power and burn severity in the Bohemian-Saxon Switzerland</strong>.</p> <p>Study area: National Park Bohemian and Saxon Switzerland and conservation areas, Germany and Czech Republic.</p> <p>Burn severity:<br>dnbr_fire22.nc – Burn severity data covering the burned area, which has been calculated with the Difference Normalized Burn Index (dNBR) using Sentinel-2 and Landsat 8, 9 images. Remote sensing images were reprojected and resampled to 10 m to ensure harmonization before index calculation.</p> <p>cbi.csv – Burn severity surveyed in the field in autumn 2022 as validation data for the dNBR. Contains: ID, coordinates, CBI, CBI values separated for different strata (A to E) and individual strata variables, forest type and species for intermediate trees (strata D) and tall trees (strata E), and the dNBR value that covered the plot extent.</p> <p>Burned area:<br>burned_area.shp – Burned area was mapped by rangers in the Saxon Switzerland National Park and was taken from the dataset provided by the Copernicus Emergency Management Service (EMS) for the Bohemian Switzerland National Park.</p> <p>FRP:<br>frp.nc - Fire Radiative Power gridded to 300 m and clipped to the burned area. FRP during the main fire spread 24/07/22 - 29/07/22. </p> <p>Fuel:<br>fueltype_bohemiansaxonswitzerland.nc/fueltype_bohemiansaxonswitzerland_postfire.nc – Raster datasets (10m spatial resolution, EPSG:32633) of fuels present in the area before and after the fire. The fuel classification system can be found in the fuel_classification.xlsx.</p> <p>fuel_classification.xlsx – The fuel type classification system for the study area. Fuel type ID's as seen in fueltype_bohemiansaxonswitzerland.nc (pre- and postfire).</p>
Datasets and relevant code in the Manuscript "Estimation of fire counts and fire radiative power using satellite optical and microwave vegetation indices with random forest method"
<p>1. multiyears_season_fire_ndvi_fwi_edvi_0.25.mat<br>Multiyear averages of ln (FC), ln (FRP), DMC, ISI, EDVI10-18, EDVI18-36, and NDVI over East Asia in 2003–2010</p> <p>2. RF_edvi_data.mat<br>Estimated FC and FRP based on RF model with EDVIs and NDVI </p> <p>3.RF_fwis_data.mat<br>Estimated FC and FRP based on RF model without EDVIs and NDVI </p> <p>4. temporal_variations.mat<br>East Asia Regional Time Series Dataset</p> <p>5.rf_train_cv_forest_review.py<br>Random forest model python code</p>
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