CONFERENCE PROCEEDINGS
Advanced Search
Home > Journals > J. Appl. Rem. Sens. > Volume 12 > Issue 1 > Article
Open Access
2 January 2018 Assessing land leveling needs and performance with unmanned aerial system
Juan Enciso, Jinha Jung, Anjin Chang, Jose Carlos Chavez, Junho Yeom, Juan Landivar, Gabriel Cavazos
Author Affiliations +
Journal of Applied Remote Sensing, Vol. 12, Issue 1, 016001 (January 2018). https://doi.org/10.1117/1.JRS.12.016001
Abstract
Land leveling is the initial step for increasing irrigation efficiencies in surface irrigation systems. The objective of this paper was to evaluate potential utilization of an unmanned aerial system (UAS) equipped with a digital camera to map ground elevations of a grower’s field and compare them with field measurements. A secondary objective was to use UAS data to obtain a digital terrain model before and after land leveling. UAS data were used to generate orthomosaic images and three-dimensional (3-D) point cloud data by applying the structure for motion algorithm to the images. Ground control points (GCPs) were established around the study area, and they were surveyed using a survey grade dual-frequency GPS unit for accurate georeferencing of the geospatial data products. A digital surface model (DSM) was then generated from the 3-D point cloud data before and after laser leveling to determine the topography before and after the leveling. The UAS-derived DSM was compared with terrain elevation measurements acquired from land surveying equipment for validation. Although 0.3% error or root mean square error of 0.11 m was observed between UAS derived and ground measured ground elevation data, the results indicated that UAS could be an efficient method for determining terrain elevation with an acceptable accuracy when there are no plants on the ground, and it can be used to assess the performance of a land leveling project.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Citation Download Citation
Juan Enciso, Jinha Jung, Anjin Chang, Jose Carlos Chavez, Junho Yeom, Juan Landivar, and Gabriel Cavazos "Assessing land leveling needs and performance with unmanned aerial system," Journal of Applied Remote Sensing 12(1), 016001 (2 January 2018). https://doi.org/10.1117/1.JRS.12.016001
Received: 13 July 2017; Accepted: 6 December 2017; Published: 2 January 2018
JOURNAL ARTICLE
 8 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Lens.org Logo
CITATIONS
Cited by 11 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Data modeling
Error analysis
Data acquisition
Data analysis
3D modeling
Atomic force microscopy
Georeferencing
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top