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In this study we use the 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) product to develop multivariate linear regression models that estimate canopy heights over study sites at Howland Forest, Maine, Harvard Forest, Massachusetts and La Selva Forest, Costa Rica using (1) directional escape probabilities that are spectrally independent and (2) the directional spectral reflectances used to derive the directional escape probabilities. These measures of canopy architecture are compared with canopy height information retrieved from the airborne Laser Vegetation Imaging Sensor (LVIS). Both the escape probability and the directional reflectance approaches achieve good results, with correlation coefficients in the range 0.54-0.82, although escape probability results are usually slightly better. This suggests that MODIS 500 m BRDF data can be used to extrapolate canopy heights observed by widely-spaced satellite LIDAR swaths to larger areas, thus providing wide-area coverage of canopy height.

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The coronavirus (SARS-CoV-2) pandemic has had a global impact on lives everywhere and has led to the disruption of, and interference with, virtually every aspect of life. In response, leading experts, political leaders, doctors, and scientists have released guidelines that attempt to prevent and mitigate the exponential rate of infection. The response to these safety recommendations has produced tremendous behavior variability as a society. Although a plethora of factors are likely relevant, a more complete analysis of human behavior during this time might help explain this disparity. The principles of applied behavior analysis allow for a functional analysis of an individual's use of transmission prevention behaviors (TPBs) during the SARS-CoV-2 pandemic. Thus, the purpose of this discussion is to provide a conceptual analysis for some possible explanations for why individuals might or might not engage in virus TPBs, as well as some recommendations to help combat the current pandemic, as well as those in the future.Keywords applied behavior analysis . COVID-19 . disease prevention . public health . SARS-CoV-2The current global novel coronavirus (severe acute respiratory syndrome coronavirus 2 or SARS-CoV-2, referred to as coronavirus for the remainder of this article) pandemic and Behavior and Social Issues