Digital Commons Network^™

Dataset For Controllable Factors Affecting Accuracy And Precision Of Human Identification Of Animals From Drone Imagery, Landon R. Jones, Jared A. Elmore, B. S. Krishnan, Sathishkumar Samiappan, Kristine O. Evans, Morgan B. Pfeiffer, Bradley F. Blackwell, Raymond B. Iglay

College of Forest Resources Publications and Scholarship

Dataset from the results of an experiment to determine how three controllable factors, flight altitude, camera angle, and time of day, affect human identification and counts of animals from drone images to inform best practices to survey animal communities with drones. We used a drone (unoccupied aircraft system, or UAS) to survey known numbers of eight animal decoy species, representing a range of body sizes and colors, at four GSD (ground sampling distance) values (0.35, 0.70, 1.06, 1.41 cm/pixel) representing equivalent flight altitudes (15.2, 30.5, 45.7, 61.0 m) at two camera angles (45° and 90°) and across a range of …

End-Grain Of Eleven Softwood Species, Dercilio Lopes, Gabrielly Dos Santos Bobadilha, Edward Entsminger, Optimal Llc

College of Forest Resources Publications and Scholarship

End-grain of eleven softwoods species.

Compiled Dataset From The National Reservoir Research Program 1989 Dataset, Nicky M. Faucheux, Leandro E. Miranda

College of Forest Resources Publications and Scholarship

This dataset was compiled from the National Reservoir Research Program 1989 dataset. The NRRP dataset includes data from rotenone and creel studies at reservoirs throughout the continental US during the 1980s. We compiled the species level biomass data into total biomass for each of five trophic guilds (piscivores, detritivores, herbivores, invertivores, and planktivores). This compiled dataset was used to investigate the Cascading Reservoir Continuum Concept across 16 river basins in a study conducted by the 2020 Management of Impounded Rivers Class.

Mississippi Sky Conditions, Joby Czarnecki, Sathishkumar Samiappan, Louis Wasson, C. Daniel Mccraine

College of Agriculture & Life Sciences Publications and Scholarship

This dataset consists of approximately 13,000 jpg format images. These images were collected using consumer grade trail cameras manufactured by Browning Trail Cameras. Cameras were installed across Mississippi (USA) in 2019 and 2020 from March through September. Images collected are exclusively oblique, unobstructed views of the sky. Cameras were placed in time-lapse mode and set to collect one image every hour. Our intent in this work was to first compare deep learning approaches to classify sky conditions with regard to cloud shadows in agricultural fields using a visible spectrum camera. Sky conditions, and specifically shadowing from clouds, are critical determinants …

End-Grain Of 10 North American Hardwoods, Lopes Dercilio Verly Junior, Greg W. Burgreen, Edward D. Entsminger

College of Forest Resources Publications and Scholarship

This technical note determines the feasibility of using an InceptionV4_ResNetV2 convolutional neural network (CNN) to correctly identify hardwood species from macroscopic images. The method is composed of a commodity smartphone fitted with a 14× macro lens for photography. The end-grains of ten different North American hardwood species were photographed to create a dataset of 1709 images. The stratified 5-fold cross-validation machine-learning method was used, in which the number of testing samples varied from 341 to 342. Data augmentation was performed on-the-fly for each training set by rotating, zooming, and flipping images. It was found that the CNN could correctly identify …

Species Distribution Models To Inform At-Risk Species Status Assessments In The Southeastern Us, Carlos Ramirez-Reyes, Mona Nazeri, Garrett Street, Francisco Vilella, D. Todd Jones-Farrand, Kristine O. Evans

College of Forest Resources Publications and Scholarship

The USFWS is working collaboratively with State Wildlife Agencies, Universities, Non-profits and others in the southeast to address the National Listing Workplan. The USFWS needs up-to-date information on current status and the likely impact of future changes to develop Species Status Assessments (SSAs), which help inform listing decisions. States, Universities and other partners are providing species expertise, location data, analytical support and logistical support (e.g. surveys). However, a significant knowledge gap remains in understanding potential species distributions, from which status surveys can be more strategically implemented. This project provides a bridge between species location information and the SSAs by developing …

Aquatic Habitat Changes Along The Arkansas River (Supporting Data And Code), Mike Rhodes, Jonathan Spurgeon, Wes Neal, Kristine Evans

College of Forest Resources Publications and Scholarship

The associated code and data are supporting information for an assessment of large-scale changes in aquatic habitats within the varying pools of the Arkansas River, Arkansas, USA following impoundment of the river as part of the McClellan–Kerr Arkansas River Navigation System. We used a combination of Landsat satellite data (30 m resolution) from 1984-2016 and the European Commission Joint Research Center’s (JRC) Global Surface Water dataset (GSW) to assess changes in water availability by aquatic habitat category and river pool in the Arkansas River system. Analysis was completed using Google Earth Engine, with code available in this repository. We also …

Aquatic Habitat Changes Along The Arkansas River (Supporting Data For Analysis), Jonathan Spurgeon, Mike Rhodes, Wes Neal, Kristine Evans

College of Forest Resources Publications and Scholarship

The associated code and data represent a second set of supporting information for an assessment of large-scale changes in aquatic habitats within the varying pools of the Arkansas River, Arkansas, USA following impoundment of the river as part of the McClellan–Kerr Arkansas River Navigation System. We used a combination of Landsat satellite data (30 m resolution) from 1984-2016 and the European Commission Joint Research Center’s (JRC) Global Surface Water dataset (GSW) to assess changes in water availability by aquatic habitat category and river pool in the Arkansas River system. Here we provide compiled .csv files of Arkansas River gauge data, …

Data Archive: Using A Coproduction Approach To Map Future Forest Retention Likelihood In The Southeastern United States, Rachel E. Greene, Kristine O. Evans, Michael T. Gray, D. Todd Jones-Farrand, William G. Wathen

College of Forest Resources Publications and Scholarship

Supporting data for publication titled: Using a Coproduction Approach to Map Future Forest Retention Likelihood in the Southeastern United States;

Journal of Forestry, 2020, 28–43 doi:10.1093/jofore/fvz063

Conservation Database For The Gulf Coast Region Of The United States, Andrew Shamaskin, Sathishkumar Samiappan, Jiangdong Liu, Kristine Evans, Anna Linhoss

College of Forest Resources Publications and Scholarship

Strategic, data-driven conservation approaches are gaining popularity. A high-resolution geospatial database indicating the ecosystem functions and socioeconomic activity can be very useful for any conservation expert or funding agency. This database presents the developed measures that are derived from openly available geospatial and non-geospatial data sources, and is intended to provide ecological and socioeconomic evidence to support conservation planning efforts along the Gulf Coast Region of the United States. This database was developed by the Strategic Conservation Assessment of Gulf Coast Landscapes (SCA) Project, which is building a series of online tools that can aid in conservation planning efforts along …

Data And Code For "Net Displacement And Temporal Scaling: Model Fitting, Interpretation, And Implementation", Garrett Street, Tal Avgar, Luca Börger

College of Forest Resources Publications and Scholarship

No abstract provided.