Application of remote sensing technology in South Dakota to assess wildlife habitat change, describe meandering lakes, improve agricultural censusing, map Aspen, and quantify cell selection criteria for spatial data

There are no author-identified significant results in this report

Remote sensing applications to resource problems in South Dakota

The author has identified the following significant results. Change in the vegetative structure was taking place in the Black Hills. Temporal analysis of the areal extent of open meadows was accomplished using black and white and color infrared aerial photography. A reduction of nearly 1100 hectares of open meadows was determined using photointerpretation. Techniques were developed for the management of meandering lakes, including use of LANDSAT imagery for continuous monitoring, classification of hydrophytes on low altitude CIR imagery, and planning and evaluation of improvements and multiple uses on aerial photography and photo mosaics. LANDSAT data were analyzed statistically from small and entire study scene areas to determine the effect of soils stratifications of corn signatures. Band 5 early season and band 7 later season recorded the strongest evidence of the influence of soils on corn signatures. Significant strata were determined by a multiple range test

The Intersectionality of Disasters’ Effects on Trust in Public Officials

Objective Groups defined by race and ideology are well‐known predictors of interpersonal and political trust, but gender‐based effects are undecided. I investigate whether disaster experience conditions a difference in political trust between women and men. Methods Examining the hurricane data set of U.S. public opinion, I analyze intersectionality's influence on disaster‐based political trust with a three‐way interaction between race, class, and gender. Results Among disaster survivors, black women trust less than all other race–gender groups, and white men trust the most. The difference between black and white women survivors’ political trust is attenuated by education. Education exacerbates race‐based political trust among observers. Among observers, there is not a gender‐based distinction. Conclusion Disasters create new identities based on shared experience, and offer a moment in time that illustrates how trust varies along gender–race–class–disaster dimensions. Knowing how trust differs according to intersectionality allows managers to manage critical events better

Use and Access in the New Ecology of Public Messaging

The use of social media and other communication technologies have created a new ecology of public messaging. As it is a core task of government to inform its residents about risks, public managers and emergency managers, specifically, must understand this new ecology if they are to effectively communicate with the public. A challenge of this new media environment is the differential access of members of the community to various technologies. Partial proportional odds regression (PPO) provides a strategy that is useful to separate effects of access from effects of use. This article illustrates the use of PPO regression to separate access and use effects based on a survey which followed a series of severe weather events in the spring of 2016. The survey includes an address-based sample of residents in the state of Oklahoma to ask about the use of various communication technologies to share information about the weather system (among other subjects). We find that age and work status are related to access while income, gender, race and exposure to extreme weather are related to use of various communication media. This information provides emergency managers with a stronger foundation for developing a portfolio of information options for their communities