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Bioresource and Agricultural Engineering Commons™
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- Department of Agricultural and Biological Systems Engineering: Faculty Publications (13)
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Articles 31 - 36 of 36
Full-Text Articles in Bioresource and Agricultural Engineering
Integrating Remote Sensing Of Evapotranspiration With Applied Water To Target Potential Water Conservation Projects In Watersheds, Daniel J. Howes, Stuart Styles
Integrating Remote Sensing Of Evapotranspiration With Applied Water To Target Potential Water Conservation Projects In Watersheds, Daniel J. Howes, Stuart Styles
BioResource and Agricultural Engineering
The overall purpose of the project is to develop a methodology for watershed managers to successfully target and release recommendations to growers that could benefit from improved on-farm irrigation management. Initially it was thought that the methodology could rely on remote sensing of actual crop evapotranspiration, effective rainfall estimates, and water application information (pumped volumes and surface water deliveries) to simply evaluate if fields and farms that applied significantly more water than plants needed could be identified. However, it became clear that, in this region specifically, additional information on water quality, crop sensitivity to salinity, and an assumed good irrigation …
Evaluating Net Groundwater Use From Remotely Sensed Evapotranspiration And Water Delivery Information, Daniel J. Howes, Charles M. Burt, Lucas Hoffman
Evaluating Net Groundwater Use From Remotely Sensed Evapotranspiration And Water Delivery Information, Daniel J. Howes, Charles M. Burt, Lucas Hoffman
BioResource and Agricultural Engineering
A detailed, comprehensive, and accurate identification of groundwater aquifer properties will likely never be fully achieved because of the high degree of variability and costs that testing involves. Furthermore, accurate estimates of boundary conditions are essential for groundwater modeling so that investigations of improved management scenarios can be conducted. The lack of key input values at the ground surface boundary limits the ability to accurately assess aquifer dynamics. Of major importance is actual evapotranspiration (water consumption or the loss of water to the atmosphere through transpiration and evaporation). The Irrigation Training and Research Center (ITRC) modified remotely sensed satellite imagery …
Comparison Of Field Level And Regional Actual Etc Values Developed From Remote Sensing And Dual Crop Coefficient Procedure, Daniel J. Howes, Lucas Hoffmann, Franklin Gaudi
Comparison Of Field Level And Regional Actual Etc Values Developed From Remote Sensing And Dual Crop Coefficient Procedure, Daniel J. Howes, Lucas Hoffmann, Franklin Gaudi
BioResource and Agricultural Engineering
Crop evapotranspiration (ETc) estimates are important for regional water planning as well as irrigation scheduling. Traditional ETc computations utilize published crop coefficients (basal) that are adjusted on a daily basis depending on soil water availability (i.e., dual crop coefficient method). Recent advancements include using remote sensing data such as LandSAT combined with a surface energy balance algorithm (METRIC), allowing crop evapotranspiration to be computed for each pixel throughout images taken during the season. There are limitations and advantages for both methods. Comparisons of soil water balance evapotranspiration values to METRIC values for two scenarios in different regions of California have …
Basin-Wide Remote Sensing Of Actual Evapotranspiration And Its Influence On Regional Water Resources Planning, Daniel J. Howes, Charles M. Burt, Kyle Feist
Basin-Wide Remote Sensing Of Actual Evapotranspiration And Its Influence On Regional Water Resources Planning, Daniel J. Howes, Charles M. Burt, Kyle Feist
BioResource and Agricultural Engineering
The Irrigation Training & Research Center (ITRC) at Cal Poly State University, San Luis Obispo has been using METRIC to compute actual evapotranspiration from remote sensing sources (namely LandSAT images). The driving force behind this is the increasing need for improved evapotranspiration information on a large scale. A recent study in the Mexicali Valley of Baja California, Mexico utilized the ITRC-modified METRIC procedure to compute the crop and riparian evapotranspiration component of a basin-wide water balance. The resulting comparison between the mass balance computed change in groundwater storage and that computed using groundwater elevation data showed excellent agreement. For water …
Sensor Ranging Technique For Determining Corn Plant Population, Joe D. Luck, Santosh Pitla, Scott A. Shearer
Sensor Ranging Technique For Determining Corn Plant Population, Joe D. Luck, Santosh Pitla, Scott A. Shearer
Department of Agricultural and Biological Systems Engineering: Presentations and White Papers
Mapping of corn plant population can provide useful information for making field management decisions. This research focused on using low cost infra-red sensors to count plants. The voltage output data from the sensors were processed using an algorithm developed to extract plant populations. Preliminary investigations were conducted using sensors mounted on a stationary track for laboratory testing and on a row crop tractor for field testing. Repeated measurements were taken on a manually counted corn row. Visual inspection of the data from the field test indicated the potential to identify corn stalks based on approximate physical widths of the stalks. …
Manipulation Of High Spatial Resolution Aircraft Remote Sensing Data For Use In Site-Specific Farming, Gabriel B. Senay, Andrew D. Ward, John G. Lyon, Norman R. Fausey, Sue E. Nokes
Manipulation Of High Spatial Resolution Aircraft Remote Sensing Data For Use In Site-Specific Farming, Gabriel B. Senay, Andrew D. Ward, John G. Lyon, Norman R. Fausey, Sue E. Nokes
Biosystems and Agricultural Engineering Faculty Publications
Three spatial data sets consisting of high spatial resolution (1 m) remote sensing images acquired in 12 spectral bands, an on-the-go yield map, and a Digital Elevation Model were co-registered and evaluated for spatial variability studies in a Geographic Information Systems environment. Separate on-the-go yield maps were developed for 3, 5, and 12 statistically significant mean yield classes. For each yield class, the corresponding mean spectral and elevation data were extracted. The relationship between mean spectral and yield data was strongly linear (r = 0.99). Also, a strong linear relationship between mean yield and elevation data (r = 0.92) was …