Publications
Filter Total Items: 543
Using Landsat and MODIS satellite collections to examine extent, timing, and potential impacts of surface water inundation in California croplands☆ Using Landsat and MODIS satellite collections to examine extent, timing, and potential impacts of surface water inundation in California croplands☆
The state of California, United States of America produces many crop products that are both utilized domestically and exported throughout the world. With nearly 39,000 km2 of croplands, monitoring unintentional and intentional surface water inundation is important for water resource management and flood hazard readiness. We examine inundation dynamics in California croplands from 2003 to...
Authors
Britt Windsor Smith, Christopher E. Soulard, Jessica J. Walker, Anne Wein
What to expect when you are expecting earthquake early warning What to expect when you are expecting earthquake early warning
We present a strategy for earthquake early warning (EEW) alerting that focuses on providing users with a target level of performance for their shaking level of interest (for example, ensuring that users receive warnings for at least 95 per cent of the occurrences of that shaking level). We explore the factors that can affect the accuracy of EEW shaking forecasts including site conditions...
Authors
Sarah E. Minson, Elizabeth S. Cochran, Jessie Kate Saunders, Sara K. McBride, Stephen Wu, Annemarie S. Baltay, Kevin R. Milner
Simulating burn severity maps at 30 meters in two forested regions in California Simulating burn severity maps at 30 meters in two forested regions in California
Climate change is altering wildfire behavior and vegetation regimes in California’s forested ecosystems. Present day fires are seeing an increase in high burn severity area and high severity patch size. The ability to predict future burn severity patterns would support better policy and land management decisions. Here we demonstrate a methodology to first, statistically estimate...
Authors
Jonathan A. Sam, W. Jonathan Baldwin, Anthony LeRoy Westerling, Haiganoush K. Preisler, Qingqing Xu, Matthew D. Hurteau, Benjamin M. Sleeter, Samrajya B. Thapa
Conflict of energies: Spatially modeling mule deer caloric expenditure in response to oil and gas development Conflict of energies: Spatially modeling mule deer caloric expenditure in response to oil and gas development
Context
Authors
Samuel Norton Chambers, Miguel L. Villarreal, Olivia Jane Marie Duane, Seth M. Munson, Erica Francis Stuber, Gayle L Tyree, Eric K Waller, Michael C. Duniway
New generation hyperspectral data From DESIS compared to high spatial resolution PlanetScope data for crop type classification New generation hyperspectral data From DESIS compared to high spatial resolution PlanetScope data for crop type classification
Thoroughly investigating the characteristics of new generation hyperspectral and high spatial resolution spaceborne sensors will advance the study of agricultural crops. Therefore, we compared the performances of hyperspectral Deutsches Zentrum fur Luftund Raumfahrt- (DLR) Earth Sensing Imaging Spectrometer (DESIS) and high spatial resolution PlanetScope in classifying eight crop types...
Authors
Itiya P. Aneece, Daniel Foley, Prasad Thenkabail, Adam Oliphant, Pardhasaradhi G. Teluguntla
Natural infrastructure in dryland streams (NIDS) can establish regenerative wetland sinks that reverse desertification and strengthen climate resilience Natural infrastructure in dryland streams (NIDS) can establish regenerative wetland sinks that reverse desertification and strengthen climate resilience
In this article we describe the natural hydrogeomorphological and biogeochemical cycles of dryland fluvial ecosystems that make them unique, yet vulnerable to land use activities and climate change. We introduce Natural Infrastructure in Dryland Streams (NIDS), which are structures naturally or anthropogenically created from earth, wood, debris, or rock that can restore implicit function...
Authors
Laura M. Norman, Rattan Lal, Ellen Wohl, Emily Fairfax, Allen C. Gellis, Michael M. Pollock
Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security
Cropland products are of great importance in water and food security assessments, especially in South Asia, which is home to nearly 2 billion people and 230 million hectares of net cropland area. In South Asia, croplands account for about 90% of all human water use. Cropland extent, cropping intensity, crop watering methods, and crop types are important factors that have a bearing on the...
Authors
Murali Krishna Gumma, Prasad Thenkabail, Pranay Panjala, Pardhasaradhi Teluguntla, Takashi Yamano, Ismail Mohammad
Analysis of surface water trends for the conterminous United States using MODIS satellite data, 2003–2019 Analysis of surface water trends for the conterminous United States using MODIS satellite data, 2003–2019
Satellite imagery is commonly used to map surface water extents over time, but many approaches yield discontinuous records resulting from cloud obstruction or image archive gaps. We applied the Dynamic Surface Water Extent (DSWE) model to downscaled (250-m) daily Moderate Resolution Imaging Spectroradiometer (MODIS) data in Google Earth Engine to generate monthly surface water maps for...
Authors
Roy E. Petrakis, Christopher E. Soulard, Eric K. Waller, Jessica J. Walker
Can coastal habitats rise to the challenge? Resilience of estuarine habitats, carbon accumulation, and economic value to sea-level rise in a Puget Sound estuary Can coastal habitats rise to the challenge? Resilience of estuarine habitats, carbon accumulation, and economic value to sea-level rise in a Puget Sound estuary
Sea-level rise (SLR) and obstructions to sediment delivery pose challenges to the persistence of estuarine habitats and the ecosystem services they provide. Restoration actions and sediment management strategies may help mitigate such challenges by encouraging the vertical accretion of sediment in and horizontal migration of tidal forests and marshes. We used a process-based soil...
Authors
Monica Mei Jeen Moritsch, Kristin B. Byrd, Melanie J. Davis, Anthony J. Good, Judith Z. Drexler, James T. Morris, Isa Woo, Lisamarie Windham-Myers, Eric E. Grossman, Glynnis Nakai, Katrina L. Poppe, John M. Rybczyk
The potential of semi-structured citizen science data as a supplement for conservation decision-making: Validating the performance of eBird against targeted avian monitoring efforts The potential of semi-structured citizen science data as a supplement for conservation decision-making: Validating the performance of eBird against targeted avian monitoring efforts
Methods are being developed to capitalize on citizen science data for research and monitoring, but these data are rarely used within established decision-making frameworks of wildlife agencies. Citizen science data are often collected at higher resolution and extent than targeted monitoring programs, and may provide complementary information. Here, we demonstrate that carefully filtered...
Authors
Erica Francis Stuber, Orin Robinson, Emily R. Bjerre, Mark C. Otto, Brian A. Millsap, Guthrie S. Zimmerman, Michael G. Brasher, Kevin M. Ringelman, Auriel Fournier, Aaron Yetter, Jennifer Isola, Viviana Ruiz-Gutierrez
The economic effects of the HayWired Scenario using the association of Bay Area governments regional growth forecast—A focus on network disruption and resilience The economic effects of the HayWired Scenario using the association of Bay Area governments regional growth forecast—A focus on network disruption and resilience
This paper describes how impacts to infrastructure networks within the San Francisco Bay Area may exacerbate the effects of building damage and how policies addressing these networks can improve resilience before and after the earthquake. The analysis uses existing modeling techniques that underlie the Association of Bay Area Government’s (ABAG) 2015 regional economic forecast of the San...
Authors
Cynthia Kroll, Bobby Lu, Anne Wein, Aksel Olsen
Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis
Authors
Adam Oliphant, Prasad Thenkabail, Pardhasaradhi Teluguntla