Large wildfire occurrence and burned area are modeled using hydroclimate and landsurface characteristics under a range of future climate and development scenarios. The range of uncertainty for future wildfire regimes is analyzed over two emissions pathways (the Special Report on Emissions Scenarios [SRES] A2 and B1 scenarios); three global climate models (Centre National de Recherches Météorologiques CM3, Geophysical Fluid Dynamics Laboratory CM2.1 and National Center for Atmospheric Research PCM1); three scenarios for future population growth and development footprint; and two thresholds for defining the wildland-urban interface relative to housing density. Results were assessed for three 30-year time periods centered on 2020, 2050, and 2085, relative to a 30-year reference period centered on 1975. Increases in wildfire burned area are anticipated for most scenarios, although the range of outcomes is large and increases with time. The increase in wildfire burned area associated with the higher emissions pathway (SRES A2) is substantial, with increases statewide ranging from 36% to 74% by 2085, and increases exceeding 100% in much of the forested areas of Northern California in every SRES A2 scenario by 2085.

The use of small Unmanned Aircraft Systems (sUAS) as platforms for data capture has rapidly increased in recent years. However, while there has been significant investment in improving the aircraft, sensors, operations, and legislation infrastructure for such, little attention has been paid to supporting the management of the complex data capture pipeline sUAS involve. This paper reports on a four-year, community-based investigation into the tools, data practices, and challenges that currently exist for particularly researchers using sUAS as data capture platforms. The key results of this effort are: (1) sUAS captured data—as a set that is rapidly growing to include data in a wide range of Physical and Environmental Sciences, Engineering Disciplines, and many civil and commercial use cases—is characterized as both sharing many traits with traditional remote sensing data and also as exhibiting—as common across the spectrum of disciplines and use cases—novel characteristics that require novel data support infrastructure; and (2), given this characterization of sUAS data and its potential value in the identified wide variety of use case, we outline eight challenges that need to be addressed in order for the full value of sUAS captured data to be realized. We conclude that there would be significant value gained and costs saved across both commercial and academic sectors if the global sUAS user and data management communities were to address these challenges in the immediate to near future, so as to extract the maximal value of sUAS captured data for the lowest long-term effort and monetary cost.

Applications and Water Resources program manager Bradley Doorn. This is the second such application workshop organized by SAWG to explore how best to maximize the user-readiness of the SWOT data after launch in 2021. Thus, the workshop was appropriately titled "2 nd SWOT Application User Workshop: Engaging the User Community for Advancing Societal Applications of the Surface Water Ocean Topography (SWOT) mission." More than fifty participants attended the workshop over the period of two days with many attending remotely as time permitted. These participants represented various stakeholder agencies from the public and private sector that deal with water issues such as U.S. Army Corps of Engineers (USACE),

The use of small Unmanned Aircraft Systems (sUAS ) as platforms for data capture has rapidly increased in recent years. However, while there has been significant investment in improving the aircraft, sensors, operations, and legislation infrastructure for such, little attention has been paid to supporting the management of the complex data capture pipeline sUAS involve. This paper reports on the outcomes of a four-year-long community-engagement-based investigation into what tools, practices, and challenges currently exist for particularly researchers using sUAS as data capture platforms. The key results of this effort are: (1) sUAS captured data – as a set that is rapidly growing to include data in a wide range of Physical and Environmental Sciences, Engineering Disciplines, and many civil and commercial use cases – is characterised as both sharing many traits with traditional remote sensing data and also as exhibiting – as common across the spectrum of disciplines and use cases – novel characteristics that require novel data support infrastructure. And (2), given this characterization of sUAS data and its potential value in the identified wide variety of use case, we outline eight challenges that need to be addressed in order for the full value of sUAS captured data to be realized. We then conclude that there would be significant value gained and costs saved across both commercial and academic sectors if the global sUAS user and data management communities were to address these challenges in the immediate to near future, so as to extract the maximal value of sUAS captured data for the lowest long-term effort and monetary cost.

Dr. El-Mounayri received his PhD in 1997 from McMaster University (in Canada) in Mechanical Engineering, He is currently an associate professor of Mechanical Engineering, the co-director of the Advanced Engineering and Manufacturing Laboratory (AEML) at IUPUI, and a senior scientist for manufacturing applications at Advanced Science and Automation Corp. Also, he is a leading member of INDI (Integrated Nanosystems Development Institute). He co-developed the Advanced Virtual Manufacturing Laboratory for Training, Education and Research (AVML), an innovative e-learning tool for educating students and training the next generation workforce in sophisticated technology and its underlying theory. Dr. El-Mounayri teaches courses in Design, CAD/CAM, and Nanotechnology. His research focus is in advanced manufacturing, including nano-machining. Dr. El-Mounayri has worked as consultant for and conducted R&D for a number of local companies in the areas of CAD/CAM, CNC machining, and process development/improvement. Dr. El-Mounayri is a member of ASME, ASEE, and SME. He has published over 75 technical papers in renowned peer-reviewed journals and technical conferences in his field and gave presentations at various national and international conferences.