scholarly journals Biogenic isoprene emission: Model evaluation in a southeastern United States bottomland deciduous forest

1997 ◽  
Vol 102 (D15) ◽  
pp. 18889-18901 ◽  
Author(s):  
Christopher D. Geron ◽  
Dalin Nie ◽  
Robert R. Arnts ◽  
Thomas D. Sharkey ◽  
Eric L. Singsaas ◽  
...  
Keyword(s):  
United States ◽  
Model Evaluation ◽  
Deciduous Forest ◽  
Southeastern United States ◽  
Emission Model ◽  
Isoprene Emission

scholarly journals Assessment of Forest Biomass Estimation from Dry and Wet SAR Acquisitions Collected during the 2019 UAVSAR AM-PM Campaign in Southeastern United States

2020 ◽  
Vol 12 (20) ◽  
pp. 3397
Author(s):  
Unmesh Khati ◽  
Marco Lavalle ◽  
Gustavo H. X. Shiroma ◽  
Victoria Meyer ◽  
Bruce Chapman
Keyword(s):  
United States ◽  
Deciduous Forest ◽  
Cloud Model ◽  
Southeastern United States ◽  
Forest Biomass ◽  
Estimation Accuracy ◽  
Biomass Estimation ◽  
Temperate Deciduous Forest ◽  
Multi Temporal ◽  
L Band

Forest above-ground biomass (AGB) estimation from SAR backscatter is affected by varying imaging and environmental conditions. This paper quantifies and compares the performance of forest biomass estimation from L-band SAR backscatter measured selectively under dry and wet conditions during the 2019 AM-PM NASA airborne campaign. Seven Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) images acquired between June and October 2019 over a temperate deciduous forest in Southeastern United States with varying moisture and precipitation conditions are examined in conjunction with LIDAR and field measurements. Biomass is estimated by fitting a 3-parameter modified Water Cloud Model (WCM) to radiometric terrain corrected SAR backscatter. Our experiment is designed to quantify the biomass estimation errors when biomass models are calibrated and validated on varying acquisition conditions (dry or wet). Multi-temporal estimation strategies are also evaluated and compared with single-acquisition estimation approaches. As an outcome, the experiment shows that the WCM model calibrated and validated on single acquisitions adapts to different soil moisture conditions with RMSD up to 18.7 Mg/ha. The AGB estimation performance, however, decreases with RMSD upwards of 30 Mg/ha when the model is cross-validated on moisture and precipitation conditions different than the calibration conditions. Results confirm that calibrating the model over the multi-temporal data using averaged backscatter or weighted combinations of individual AGB estimates, improves the biomass estimation accuracy up to about 20% at L-band. This study helps design biomass cal/val procedures and biomass estimation algorithms for dense time-series to be collected by low-frequency radar missions such as NASA-ISRO SAR (NISAR) and BIOMASS.

Does Enhancing Mind Perception Affect Conspiracy Belief?

2019 ◽  
Author(s):  
Jorge Noguera
Keyword(s):  
United States ◽  
Southeastern United States ◽  
Social Discourse ◽  
Psychological Processes ◽  
Social Psychological ◽  
Conspiracy Theories ◽  
Mind Perception ◽  
Mixed Anova ◽  
Interaction Term ◽  
The Mind

This study was conducted to determine the effectiveness of a novel mind perception manipulation. Mind perception is currently theorized to be an essential aspect of a number of human social psychological processes. Thus, a successful manipulation would allow for the causal study of those processes. This manipulation was created in an attempt to explore the downstream impact of mind perception on the endorsement of conspiracy theories. Conspiracy theories are steadily becoming more and more prominent in social discourse. Endorsement of conspiracy theories are beginning to show real world ramifications such as a danger to human health (e.g., in the anti-vaccination movement). A sample of college students (valid N = 53) from a large rural institution in the southeastern United States participated for course credit. These participants completed a mind perception pretest, were randomly assigned to either the manipulation in question (in which participants are asked to consider the ‘mind’ of several targets and write their thoughts about them) or the control condition, and then they completed a posttest. The mixed ANOVA revealed that the interaction term between Time and Condition was not significant. Because the manipulation did not work, other analyses were aborted, in accord with the pre-registration. My Discussion focuses on the procedures and potential shortcomings of this manipulation, in an effort to lay the groundwork for a successful one.

Selected fluvial monazite deposits in the southeastern United States

1971 ◽  
Author(s):  
William C. Overstreet ◽  
A.M. White ◽  
P.K. Theobald ◽  
D.W. Caldwell
Keyword(s):  
United States ◽  
Southeastern United States
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