scholarly journals The Potential of Satellite Remote Sensing Time Series to Uncover Wetland Phenology under Unique Challenges of Tidal Setting

2021 ◽  
Vol 13 (18) ◽  
pp. 3589
Author(s):  
Gwen Joelle Miller ◽  
Iryna Dronova ◽  
Patricia Y. Oikawa ◽  
Sara Helen Knox ◽  
Lisamarie Windham-Myers ◽  
...  
Keyword(s):  
Time Series ◽  
Carbon Sequestration ◽  
San Francisco ◽  
Gross Primary Production ◽  
Temporal Frequency ◽  
Google Earth ◽  
Plant Phenology ◽  
Future Research ◽  
Tidal Wetlands ◽  
Bay Area

While growth history of vegetation within upland systems is well studied, plant phenology within coastal tidal systems is less understood. Landscape-scale, satellite-derived indicators of plant greenness may not adequately represent seasonality of vegetation biomass and productivity within tidal wetlands due to limitations of cloud cover, satellite temporal frequency, and attenuation of plant signals by tidal flooding. However, understanding plant phenology is necessary to gain insight into aboveground biomass, photosynthetic activity, and carbon sequestration. In this study, we use a modeling approach to estimate plant greenness throughout a year in tidal wetlands located within the San Francisco Bay Area, USA. We used variables such as EVI history, temperature, and elevation to predict plant greenness on a 14-day timestep. We found this approach accurately estimated plant greenness, with larger error observed within more dynamic restored wetlands, particularly at early post-restoration stages. We also found modeled EVI can be used as an input variable into greenhouse gas models, allowing for an estimate of carbon sequestration and gross primary production. Our strategy can be further developed in future research by assessing restoration and management effects on wetland phenological dynamics and through incorporating the entire Sentinel-2 time series once it becomes available within Google Earth Engine.

A Dynamic Model of Housing Supply

2018 ◽  
Vol 10 (4) ◽  
pp. 243-267 ◽  
Author(s):  
Alvin Murphy
Keyword(s):  
Time Series ◽  
Dynamic Model ◽  
San Francisco ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Housing Supply ◽  
Bay Area ◽  
Model Features ◽  
Unique Dataset ◽  
Forward Looking

This paper estimates a dynamic microeconometric model of housing supply. The model features forward-looking landowners who optimally choose both the timing and the nature of construction while taking into account expectations about future prices and costs. The model is estimated using a unique dataset describing individual landowners in the San Francisco Bay Area. Results indicate that geographic and time-series variation in costs are key to understanding where and when construction occurs. Pro-cyclical costs provide an incentive for some landowners to build before price peaks. Results also indicate that landowners actively “time” the market, which reduces the elasticity of supply. (JEL C51, D12, E32, R21, R23, R31)

scholarly journals Identifying Dry-Season Rice-Planting Patterns in Bangladesh Using the Landsat Archive

2019 ◽  
Vol 11 (10) ◽  
pp. 1235 ◽  
Author(s):  
Aaron M. Shew ◽  
Aniruddha Ghosh
Keyword(s):  
Time Series ◽  
Crop Production ◽  
Accuracy Assessment ◽  
Vegetation Indices ◽  
National Level ◽  
Google Earth ◽  
Dry Season ◽  
Future Research ◽  
Cropping Patterns

In many countries, in situ agricultural data is not available and cost-prohibitive to obtain. While remote sensing provides a unique opportunity to map agricultural areas and management characteristics, major efforts are needed to expand our understanding of cropping patterns and the potential for remotely monitoring crop production because this could support predictions of food shortages and improve resource allocation. In this study, we demonstrate a new method to map paddy rice using Google Earth Engine (GEE) and the Landsat archive in Bangladesh during the dry (boro) season. Using GEE and Landsat, dry-season rice areas were mapped at 30 m resolution for approximately 90,000 km2 annually between 2014 and 2018. The method first reconstructs spectral vegetation indices (VIs) for individual pixels using a harmonic time series (HTS) model to minimize the effect of any sensor inconsistencies and atmospheric noise, and then combines the time series indices with a rule-based algorithm to identify characteristics of rice phenology to classify rice pixels. To our knowledge, this is the first time an annual pixel-based time series model has been applied to Landsat at the national level in a multiyear analysis of rice. Findings suggest that the harmonic-time-series-based vegetation indices (HTS-VIs) model has the potential to map rice production across fragmented landscapes and heterogeneous production practices with comparable results to other estimates, but without local management or in situ information as inputs. The HTS-VIs model identified 4.285, 4.425, 4.645, 4.117, and 4.407 million rice-producing hectares for 2014, 2015, 2016, 2017, and 2018, respectively, which correlates well with national and district estimates from official sources at an average R-squared of 0.8. Moreover, accuracy assessment with independent validation locations resulted in an overall accuracy of 91% and a kappa coefficient of 0.83 for the boro/non-boro stable rice map from 2014 to 2018. We conclude with a discussion of potential improvements and future research pathways for this approach to spatiotemporal mapping of rice in heterogeneous landscapes.

scholarly journals Carbon Sequestration and Sediment Accretion in San Francisco Bay Tidal Wetlands

2012 ◽  
Vol 35 (5) ◽  
pp. 1163-1181 ◽  
Author(s):  
John C. Callaway ◽  
Evyan L. Borgnis ◽  
R. Eugene Turner ◽  
Charles S. Milan
Keyword(s):  
Carbon Sequestration ◽  
San Francisco ◽  
San Francisco Bay ◽  
Tidal Wetlands ◽  
Sediment Accretion

Reduction in Clostridium difficile infection rates following a multifacility prevention initiative in Orange County, California: A controlled interrupted time series evaluation

2019 ◽  
Vol 40 (8) ◽  
pp. 872-879 ◽  
Author(s):  
Kyle R. Rizzo ◽  
Sarah H. Yi ◽  
Erin P. Garcia ◽  
Matt Zahn ◽  
Erin Epson
Keyword(s):  
Time Series ◽  
Clostridium Difficile ◽  
San Francisco ◽  
Orange County ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Interrupted Time Series ◽  
Baseline Period ◽  
Bay Area

AbstractObjective:To evaluate the Orange County Clostridium difficile infection (CDI) prevention collaborative’s effect on rates of CDI in acute-care hospitals (ACHs) in Orange County, California.Design:Controlled interrupted time series.Methods:We convened a CDI prevention collaborative with healthcare facilities in Orange County to reduce CDI incidence in the region. Collaborative participants received onsite infection control and antimicrobial stewardship assessments, interactive learning and discussion sessions, and an interfacility transfer communication improvement initiative during June 2015–June 2016. We used segmented regression to evaluate changes in monthly hospital-onset (HO) and community-onset (CO) CDI rates for ACHs. The baseline period comprised 17 months (January 2014–June 2015) and the follow-up period comprised 28 months (September 2015–December 2017). All 25 Orange County ACHs were included in the CO-CDI model to account for direct and indirect effects of the collaborative. For comparison, we assessed HO-CDI and CO-CDI rates among 27 ACHs in 3 San Francisco Bay Area counties.Results:HO-CDI rates in the 15 participating Orange County ACHs decreased 4% per month (incidence rate ratio [IRR], 0.96; 95% CI, 0.95–0.97; P < .0001) during the follow-up period compared with the baseline period and 3% (IRR, 0.97; 95% CI, 0.95–0.99; P = .002) per month compared to the San Francisco Bay Area nonparticipant ACHs. Orange County CO-CDI rates declined 2% per month (IRR, 0.98; 95% CI, 0.96–1.00; P = .03) between the baseline and follow-up periods. This decline was not statistically different from the San Francisco Bay Area ACHs (IRR, 0.97; 95% CI, 0.95–1.00; P = .09).Conclusions:Our analysis of ACHs in Orange County provides evidence that coordinated, regional multifacility initiatives can reduce CDI incidence.

Segmentation of infrequent performing arts consumers

2016 ◽  
Vol 6 (1) ◽  
pp. 88-110 ◽  
Author(s):  
Eric John Kolhede ◽  
J. Tomas Gomez-Arias
Keyword(s):  
San Francisco ◽  
Performing Arts ◽  
Product Distribution ◽  
Future Research ◽  
Content Type ◽  
Bay Area ◽  
Performing Arts Organizations ◽  
Arts Marketing ◽  
Differentiated Marketing ◽  
Audience Development

Purpose – The purpose of this paper is to examine market segments within the broader category of occasional patrons of the performing arts. While similarities between these segments exist, important distinctions are also apparent. Design/methodology/approach – The authors surveyed 347 performing arts patrons using a structured questionnaire. Their responses along 28 proposed motivational variables were subjected to factor analysis to reduce their dimensionality and collinearity. Cluster analysis was then applied to respondents’ factor scores to group subjects into homogenous segments for subsequent comparison along variables, including demographic and marketing mix elements. Findings – The authors find six key motivating factors influencing the attendance of performing arts events: personal; promotional; product; distribution; economic; and social motivators. The authors also find that infrequent consumers can be further subsegmented into disinclined and fringe consumers with different levels of performance attendance and dissimilarities in responding to motivators. Research limitations/implications – The survey was conducted in a single county within the San Francisco Bay Area, limiting the generalizability of results. Practical implications – Fringe consumers are more responsive to the personal benefits (e.g. cultural enrichment) derived from the core product offerings of a performance such as programming and quality of the performers. The disinclined segment is more influenced by economic, social, and distribution related elements associated with a performing arts event such as pricing, the accessibility (or convenience) of the venue, and the opportunity to socialize accompanying attendance. Social implications – The practice of relationship marketing by small local performing arts organizations (PAOs) has been emphasized and often advocated by researches in the most recent literature. In order to ensure the viability of PAOs beyond the short-term, further examination of audience development is imperative. This paper indeed places more attention on audience development with a particular focus on expanding audiences among subsegments of infrequent performing arts consumers. Originality/value – The central purpose of this research is to arrive at comprehensive profiles of subsegments within a group of infrequent arts patrons, along with viable differentiated marketing program and positioning approaches that would appeal to each of these consumer categories. Consequently, the authors address a significant gap in the performing arts marketing literature as few recent studies appear to have been structured to allow for the possibility of producing adequate subsegmentation information within a group of occasional performing arts patrons. Secondarily, this study also answers a call for future research to examine the internet as a channel of promotion for arts consumers.

A Qualitative Study of Ecstasy Sellers in the San Francisco Bay Area

2004 ◽  
Author(s):  
Sheigla Murphy ◽  
Paloma Sales ◽  
Micheline Duterte ◽  
Camille Jacinto
Keyword(s):  
Qualitative Study ◽  
San Francisco ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Bay Area

The “Japanese Turn” in Fine Dining in the United States, 1980–2020

2020 ◽  
Vol 20 (2) ◽  
pp. 45-54
Author(s):  
Samuel H. Yamashita
Keyword(s):  
United States ◽  
New York ◽  
Los Angeles ◽  
San Francisco ◽  
San Francisco Bay Area ◽  
The United States ◽  
First Century ◽  
Further Training ◽  
Bay Area ◽  
Wide Acceptance

In the 1970s, Japanese cooks began to appear in the kitchens of nouvelle cuisine chefs in France for further training, with scores more arriving in the next decades. Paul Bocuse, Alain Chapel, Joël Robuchon, and other leading French chefs started visiting Japan to teach, cook, and sample Japanese cuisine, and ten of them eventually opened restaurants there. In the 1980s and 1990s, these chefs' frequent visits to Japan and the steady flow of Japanese stagiaires to French restaurants in Europe and the United States encouraged a series of changes that I am calling the “Japanese turn,” which found chefs at fine-dining establishments in Los Angeles, New York City, and later the San Francisco Bay Area using an ever-widening array of Japanese ingredients, employing Japanese culinary techniques, and adding Japanese dishes to their menus. By the second decade of the twenty-first century, the wide acceptance of not only Japanese ingredients and techniques but also concepts like umami (savory tastiness) and shun (seasonality) suggest that Japanese cuisine is now well known to many American chefs.

Cyborg Jotería Pedagogies: Latinx Drag Queens Leveraging Communication Ecologies in the Age of the Digital and Social Displacement

2020 ◽  
Vol 14 (2) ◽  
pp. 44-66
Author(s):  
José Ramón Lizárraga ◽  
Arturo Cortez
Keyword(s):  
San Francisco ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Digital Technologies ◽  
Physical World ◽  
Political Issues ◽  
Drag Queen ◽  
Bay Area ◽  
Online Presence ◽  
Drag Queens

Researchers and practitioners have much to learn from drag queens, specifically Latinx queens, as they leverage everyday queerness and brownness in ways that contribute to pedagogy locally and globally, individually and collectively. Drawing on previous work examining the digital queer gestures of drag queen educators (Lizárraga & Cortez, 2019), this essay explores how non-dominant people that exist and fluctuate in the in-between of boundaries of gender, race, sexuality, the physical, and the virtual provide pedagogical overtures for imagining and organizing for new possible futures that are equitable and just. Further animated by Donna Haraway’s (2006) influential feminist post-humanist work, we interrogate how Latinx drag queens as cyborgs use digital technologies to enhance their craft and engage in powerful pedagogical moves. This essay draws from robust analyses of the digital presence of and interviews with two Latinx drag queens in the San Francisco Bay Area, as well as the online presence of a Xicanx doggie drag queen named RuPawl. Our participants actively drew on their liminality to provoke and mobilize communities around socio-political issues. In this regard, we see them engaging in transformative public cyborg jotería pedagogies that are made visible and historicized in the digital and physical world.

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