Laura L. Bourgeau-Chavez

Assessing SMAP for enhanced wildfire danger prediction in boreal-Arctic ecosystems

Laura L. Bourgeau-Chavez, Chelene Hanes, Michael Billmire, Karl R. Bosse et autres

In boreal and Arctic regions, where organic soils act as wildfire fuel, NASA’s SMAP soil moisture products offer strong potential to improve drought and fuel (organic soil) moisture assessment beyond point-based weather station fire danger models. Since SMAP is not calibrated for …

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Evaluation of L- and S-Band Polarimetric Data for Monitoring Great Lakes Coastal Wetland Health in Preparation for NISAR

Michael J Battaglia, Laura L. Bourgeau-Chavez

Coastal wetlands are a critical buffer between land and water that are threatened by land use and climate change, necessitating improved monitoring for management and resilience planning. The recently launched NASA-ISRO L- and S-band SAR satellite (NISAR) will provide regular collections of …

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Evaluation of L- and S-Band Polarimetric Data for Monitoring Great Lakes Coastal Wetland Health in Preparation for NISAR

Michael J Battaglia, Laura L. Bourgeau-Chavez

Coastal wetlands are critical interfaces between land and water that are threatened by land use and climate changes, necessitating improved monitoring for management and resilience planning. In preparation for the recently launched NASA-ISRO L- and S-band SAR satellite (NISAR), the NASA-ISRO airborne …

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A new digital cover photography dataset and processing tool for SMAPVEX19-22: How siting and sky condition impact plant area index retrievals in continuous measurement set-ups

Simon Kraatz, Michael H. Cosh, Victoria R. Kelly, Laura L. Bourgeau-Chavez et autres

• We provide a new DCP dataset spanning 144 site-years. • We provide a DCP tool to process data using one setting. • The study investigates sky bias and introduces an efficient means for reducing it. • EzPAI has good results and …

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Automated Semantic Segmentation of Arctic Surface Water Features with Very-High Resolution Satellite X-Band Radar Imagery and U-Net Deep Learning

Michael Allan Merchant, Masoud Mahdianpari, Laura L. Bourgeau-Chavez, Ben DeVries et autres

Repeatable methods capable of quantifying Arctic surface water extent at high resolutions are important, but still require development. Here, we present a study using very-high resolution (VHR) X-band Synthetic Aperture Radar (SAR) imagery from Capella Space for fine-scale semantic segmentation of Arctic …

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Freeze/Thaw Dynamics by GNSS-R: Climate Change Effects over the Arctic Boreal Zone

Hugo Carreño-Luengo, Christopher S. Ruf, Laura L. Bourgeau-Chavez, Arijit Roy et autres

Wildfires hazard is rapidly increasing in the Arctic-Boreal zone due to climate change. This work briefly introduces the National Aeronautics and Space Administration Research Opportunities in Space and Earth Science Freeze/thaw wildfires Risk prEdiction (FIRE) project. FIRE combines disruptive scientific research with …

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Impact of L-band Vegetation Optical Depth Temporal Variation on Soil Moisture Retrieval

Andreas Colliander, Michael H. Cosh, Simon Kraatz, Laura L. Bourgeau-Chavez et autres

Forests are one of the most essential components of the Earth system. They account for a large part of the total global photosynthetic activity, store a significant amount of the total carbon, and provide a habitat for countless species. At the same …

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Mapping the distribution and condition of mountain peatlands in Colombia for sustainable ecosystem management

Patrick Nicolás Skillings-Neira, Juan C. Benavides, Michael J Battaglia, Rodney A. Chimner et autres

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Estimating Vegetation Optical Depth With Mobile GNSS Transmissiometry in Temperate Forests During SMAPVEX22

Abesh Ghosh, Md Mehedi Farhad, Mohammad Ehsanul Hoque, Dylan Ray Boyd et autres

This study investigates the potential of mobile global navigation satellite system (GNSS) transmissometry (GNSS-T) measurements for estimating vegetation optical depth (VOD) in temperate forests, focusing on the Soil Moisture Active Passive (SMAP) validation experiment in 2022 (SMAPVEX22). Our methodology employed a dual-GNSS …

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SMAP Validation Experiment 2019–2022 (SMAPVEX19–22): Field Campaign to Improve Soil Moisture and Vegetation Optical Depth Retrievals in Temperate Forests

Andreas Colliander, Michael H. Cosh, Laura L. Bourgeau-Chavez, Victoria R. Kelly et autres

Satellite-based retrieval of forest soil moisture (SM) and vegetation optical depth (VOD) are two long-standing unresolved issues hindering advances in hydrology, ecology, and Earth system science. A key obstacle is the lack of adequate reference data in forested regions. NASA's Soil Moisture …

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Assessing Smap for Enhanced Wildfire Danger Prediction in Boreal-Arctic Ecosystems

Laura L. Bourgeau-Chavez, Chelene Hanes, Michael Billmire, Karl R. Bosse et autres

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Comparison of in Situ Plant Area Index and Remotely Sensed Leaf Area Index of Northeastern American Deciduous, Mixed, and Coniferous Forests for SMAPVEX19-22

Laura L. Bourgeau-Chavez, Dorthea J. L. Vander Bilt, Mary Ellen Miller, Simon Kraatz et autres

Leaf Area Index (LAI) and Plant Area Index (PAI) are critical biophysical parameters for quantifying foliage density of crops and trees. As such they may also be effective metrics to estimate the impact of leafy vegetation on microwave signals, like the radiometer …

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