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Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Agriculture (1)
- Agronomy (1)
- Attention (1)
- Crown width (1)
- Decoding (1)
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- Diameter at Breast height (1)
- Drones (1)
- Edge integration theory (1)
- Encoding (1)
- Ensemble classification (1)
- Forest Metrics (1)
- Gelb illumination (1)
- Hardwood trees (1)
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- Land cover change (1)
- Landsat (1)
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- Open source (1)
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- Peru (1)
- R (1)
- Remote sensing (1)
- Structure from motion (1)
- Tree height (1)
- UAV Based Remote Sensing (1)
- Unmanned Aerial Vehicle (1)
- Vegetative Indices (1)
- Vision (1)
- Visual neural pathways (1)
- Publication Type
Articles 1 - 8 of 8
Full-Text Articles in Social and Behavioral Sciences
Effects Of Removing Background Soil Reflectance Pixels From Vegetative Index Maps For Characterization Of Corn Responses To Experimental Treatments, Ana Morales, Robert L. Nielsen, James J. Camberato
Effects Of Removing Background Soil Reflectance Pixels From Vegetative Index Maps For Characterization Of Corn Responses To Experimental Treatments, Ana Morales, Robert L. Nielsen, James J. Camberato
Purdue GIS Day
In contrast to traditional data collection methods that require manual sampling, vegetative index (VI) maps derived from unmanned aerial vehicles (UAV) imagery are a potential tool to characterize temporal and spatial treatment effects in a more efficient and non-destructive way. Remotely-sensed reflectance data from a growing corn crop contains pixel values associated with the above-ground plant tissue (e.g., leaves, stalks, tassels) and the underlying soil features. Background soil reflectance data potentially reduces the effectiveness of VI for characterizing crop responses to experimental treatments. Removing background soil image pixels from the larger image dataset should improve that effectiveness. The objective of …
Quantifying Four Decades Of Arid-Region Agricultural Development In Arequipa, Peru Using Landsat, Zachary S. Brecheisen, Nicholas Hamp-Adams, Edwin Bocardo Delgado, Martin Villalta Soto, Timothy Filley, Darrell G. Schulze
Quantifying Four Decades Of Arid-Region Agricultural Development In Arequipa, Peru Using Landsat, Zachary S. Brecheisen, Nicholas Hamp-Adams, Edwin Bocardo Delgado, Martin Villalta Soto, Timothy Filley, Darrell G. Schulze
Purdue GIS Day
The Arequipa Nexus Institute for Food, Energy and the Environment (Nexus Institute) is located in Southwestern Peru, generally bounded by the city of Arequipa to the east, the Majes River to the west, the Pacific Ocean to the south, and the Andes mountains to the north. Though agriculture has been practiced in parts of this cool desert region (MAT~15°C, MAP
Photogrammetric Measurement Of Hardwood Species At A Stand Level Using Rgb Images From Unmanned Aerial Vehicle (Uav), Aishwarya Chandrasekaran
Photogrammetric Measurement Of Hardwood Species At A Stand Level Using Rgb Images From Unmanned Aerial Vehicle (Uav), Aishwarya Chandrasekaran
Purdue GIS Day
Nowadays, for many remote sensing applications, drones are employed for gathering data, as it provides low cost image acquisition with minimal human intervention. Drone remote sensing has an extensive use in forestry for maintaining inventories, mapping canopy structure and monitoring forest fires. Maintaining a Forest inventory database is a crucial task as it is the only means of keeping a record of the trees. This study aims to explore UAV based image acquisition (consumer-grade sensor) and analysis for forest studies using structure from motion technique.The main objective is to derive a methodology for computing tree parameters such as tree height, …
Tracking Life Skill Development Of Indiana 4-H Members, Kayla Groen
Tracking Life Skill Development Of Indiana 4-H Members, Kayla Groen
The Journal of Purdue Undergraduate Research
No abstract provided.
Is The Selective Tuning Model Of Visual Attention Still Relevant?, John K. Tsotsos
Is The Selective Tuning Model Of Visual Attention Still Relevant?, John K. Tsotsos
MODVIS Workshop
No abstract provided.
Differentiating Changes In Population Encoding Models With Psychophysics And Neuroimaging, Jason Hays, Fabian Soto Phd
Differentiating Changes In Population Encoding Models With Psychophysics And Neuroimaging, Jason Hays, Fabian Soto Phd
MODVIS Workshop
It is now common among visual scientists to make inferences about neural population coding of stimuli from indirect measures such as those provided by neuroimaging and psychophysics. The success of such studies depends strongly on simulation work using standard population encoding models extended with decoders (in psychophysics) and measurement models (in neuroimaging). However, not all studies are accompanied by simulation work, and those that are tend to vary widely in their assumptions about encoding, decoding, and measurement. To solve these issues, we designed a Python package (PEMGUIN) to assist computational modelling by providing simple ways to manage encoders' tuning functions, …
Explaining The Lightness Of Real Illuminated Surfaces Viewed Under Gelb Illumination With A Neurocomputational Model, Michael E. Rudd
Explaining The Lightness Of Real Illuminated Surfaces Viewed Under Gelb Illumination With A Neurocomputational Model, Michael E. Rudd
MODVIS Workshop
No abstract provided.
The Challenge For Vision Of Fluctuating Real-World Illumination, David H. Foster
The Challenge For Vision Of Fluctuating Real-World Illumination, David H. Foster
MODVIS Workshop
No abstract provided.