Open AccessDiscover Irrigation and Visualize Vegetation Health for The Wildlands Conservancy
Author(s) -
AUTHOR_ID,
Michelle D. Williams
Publication year - 2021
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.26716/redlands/master/2020.8
Subject(s) - python (programming language) , data collection , geography , remote sensing , vegetation (pathology) , irrigation , cartography , computer science , environmental resource management , hydrology (agriculture) , environmental science , engineering , ecology , medicine , statistics , mathematics , geotechnical engineering , pathology , biology , operating system
Water is essential to the success of agriculture. Knowing where the water comes from and where it travels determines what can be done with it. The Wildlands Conservancy owns nine preserves in Southern California. One of the these is the Oak Glen Preserve. Finding the irrigation pipelines was important to The Wildlands Conservancy because not a single staff member knew where the entire system flowed or where the fixtures were located. The data collection design began by designing a Collector application and using tools like Survey123 Connect and a Python script to create the geodatabase schema. Once the Collector application was designed, a Trimble R1 unit was paired with a mobile device for higher accuracy data collection. After completing the data collection, the data was retrieved and used in ArcMap to design a geometric network. As the project progressed, a remote sensing aspect was added to show the health of the orchards. The NAIP imagery used for remote sensing is flown in May every two years.