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Post-fire shifts in vegetation composition will have broad ecological impacts. However, information characterizing post-fire recovery patterns and their drivers are lacking over large spatial extents. In this analysis we used Landsat imagery collected when snow cover (SCS) was present, in combination with growing season (GS) imagery, to distinguish evergreen vegetation from deciduous vegetation. We sought to (1) characterize patterns in the rate of post-fire, dual season Normalized Difference Vegetation Index (NDVI) across the region, (2) relate remotely sensed patterns to field-measured patterns of re-vegetation, and (3) identify seasonally-specific drivers of post-fire rates of NDVI recovery. Rates of post-fire...
Tags: Arizona,
California,
Climatology,
Colorado,
Douglas fir, All tags...
Ecology,
Engelmann spruce,
Forestry,
Idaho,
Landsat,
Lodgepole pine,
Montana,
NDVI,
Nevada,
Oregon,
Pinyon pine,
Remote Sensing,
Rocky Mountains,
Sierra Nevada Mountains,
USGS Science Data Catalog (SDC),
Utah,
Washington,
Wyoming,
forest fire,
recovery,
resiliency,
succession,
wildfire, Fewer tags
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Postfire shifts in vegetation composition will have broad ecological impacts. However, information characterizing postfire recovery patterns and their drivers are lacking over large spatial extents. In this analysis, we used Landsat imagery collected when snow cover (SCS) was present, in combination with growing season (GS) imagery, to distinguish evergreen vegetation from deciduous vegetation. We sought to (1) characterize patterns in the rate of postfire, dual‐season Normalized Difference Vegetation Index (NDVI) across the region, (2) relate remotely sensed patterns to field‐measured patterns of re‐vegetation, and (3) identify seasonally specific drivers of postfire rates of NDVI recovery. Rates of postfire NDVI...
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Wildfires and prescribed fires are frequent but under-mapped across wetlands of the southeastern United States . High annual precipitation supports rapid post-fire recovery of wetland vegetation, while associated cloud cover limits clear-sky observations. In addition, the low burn severity of prescribed fires and spectral confusion between fluctuating water levels and burned areas have resulted in wetland burned area being chronically under-estimated across the region. In this analysis, we first quantify the increase in clear-sky observations by using Sentinel-2 in addition to Landsat 8. We then present an approach using the Sentinel-2 archive (2016-2019) to train a wetland burned area algorithm at 20 m resolution....
Categories: Data;
Tags: Alabama,
Everglades,
Florida,
Georgia,
Google Earth Engine, All tags...
Hydrology,
Jupyter Notebook,
Land Use Change,
Remote Sensing,
South Carolina,
USGS Science Data Catalog (SDC),
drought,
prescribed fire,
wetland,
wildland fire, Fewer tags
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Calibration panels are used as reference materials with known reflectance characteristics to convert remote sensing image pixel values to scientific units such as reflectance. At the time of purchase, the panel vendor typically provides the customer with reflectance data for the panel. The vendor-provided spectral data as a reference for each panel’s reflectance values at the time of purchase. Over time, the panel’s reflectance can change due to exposure of its surface to elements such as the sun, dirt, dust, sand, and more during the panel’s use in the field. The purpose of this dataset is to enable the assessment of calibration panel reflectance changes over time. In addition to the vendor-provided spectral data...
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