Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data

CSCE 996 Independent Research Controlling Center Pivot Irrigation Systems

Excessive, wasted water has prompted the creation of the Top 10 Water Challenges of Nebraska [1]. 70% of the world’s water usage is related to agriculture [7], more efficient irrigation solutions promise a large benefit for farmers, consumers and the environment. Through a USGS grant, the Cyber-Physical Networking Lab at the University of Nebraska-Lincoln has pledged to complete an autonomous i...

Remotely Sensed Data Segmentation under a Spatial Statistics Framework

Selection of Remotely Sensed Data

An increasing number of sensors are available for forest ecologists and managers seeking to map attributes of forest canopy cover, forest structure and composition, and their dynamics. This Chapter seeks to put these advances within the context of the needs of forest managers and scientists. To do so, we review the basic physics behind a variety of imagery types, discuss fundamental limitations...

Investigation of infiltration in Center Pivot irrigation system

Use of the double ring infiltrometer to measure soil water infiltration in center pivot irrigation systems isn’t an accurate approach because the real conditions of infiltration under center pivot sprinklers is different from what happens in the double ring. In this study the infiltration parameters were evaluated in real conditions of a center pivot system. For this purpose a single ring...

248 Remotely Sensed Data Characterization

EMPs Extended morphological profiles EMPs Extended morphological profiles LDA Linear discriminant analysis LogDA Logarithmic discriminant analysis MLR Multinomial logistic regression MLRsubMRF Subspace-based multinomial logistic regression followed by Markov random fields MPs Morphological profiles MRFs Markov random fields PCA Principal component analysis QDA Quadratic discriminant analysis RH...