It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Accurate field data are required to predict elevated runoff and sediment transport to aid post-fire planning. This is especially significant at the small catchment scale, where these runoff processes occur disproportionately, occurring at a higher magnitude and higher frequency. Sources of elevated runoff include soil hydrophobicity, in-channel sediment loading through dry ravel, extensive rill networks, and exposed bare soil. Recovery of these processes are related to vegetation conditions before, during, and after fire. This can be quantified using satellite-based vegetation indices to understand the recovery of the burned area and resulting hydrologic response. The main objective was to demonstrate potential for ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) evaporation measurements in post-fire hydrology by linking to hydrologic signatures (flashiness index and runoff-ratio) to highlight changes and improve vegetation assessments after fire. A case study of the 2018 Holy Fire is presented using a control catchment and a burned catchment. Results show that areas containing higher proportions of montane hardwood and montane hardwood conifers burned at high soil burn severity, a result of the normal to moderately dry period (2012-2016, 2018) that decreased annual evapotranspiration and increased water stress leading up to fire. For 1-year post-fire, ECOSTRESS measured the highest variation between burned and control during the peak dry months (3 to 4 mm/day), which explained the comparatively higher dry-season flows observed for the burned catchment. Summer field visit also showed vegetation regrowth that consisted of mostly annual grasses following a moderately wet year. Preliminary results were adequate; however, not enough time has passed for the system to fully recover, and thus, we present a Google Earth Engine application to help track recovery.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer