Quality of terrestrial data derived from UAV photogrammetry: A case study of Hetao irrigation district in northern China

Hongming Zhang, Jiang Tao Yang, Jantiene E.M. Baartman, Shu Qin Li, Bei Jin, Wen Ting Han, Xiaomei Yang, Lingtong Gai, Coen J. Ritsema, Violette Geissen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Most crops in northern China are irrigated, but the topography affects the water use, soil erosion, runoff and yields. Technologies for collecting high-resolution topographic data are essential for adequately assessing these effects. Ground surveys and techniques of light detection and ranging have good accuracy, but data acquisition can be time-consuming and expensive for large catchments. Recent rapid technological development has provided new, flexible, high-resolution methods for collecting topographic data, such as photogrammetry using unmanned aerial vehicles (UAVs). The accuracy of UAV photogrammetry for generating high-resolution Digital Elevation Model (DEM) and for determining the width of irrigation channels, however, has not been assessed. A fixed-wing UAV was used for collecting high-resolution (0.15 m) topographic data for the Hetao irrigation district, the third largest irrigation district in China. 112 ground checkpoints (GCPs) were surveyed by using a real-time kinematic global positioning system to evaluate the accuracy of the DEMs and channel widths. A comparison of manually measured channel widths with the widths derived from the DEMs indicated that the DEM-derived widths had vertical and horizontal root mean square errors of 13.0 and 7.9 cm, respectively. UAV photogrammetric data can thus be used for land surveying, digital mapping, calculating channel capacity, monitoring crops, and predicting yields, with the advantages of economy, speed and ease.

LanguageEnglish
Pages171-177
JournalInternational Journal of Agricultural and Biological Engineering
Volume11
Issue number3
DOIs
Publication statusPublished - May 2018

Fingerprint

Photogrammetry
photogrammetry
Unmanned aerial vehicles (UAV)
Irrigation
China
irrigation
case studies
Geographic Information Systems
Biomechanical Phenomena
digital elevation models
Crops
Soil
land surveying
Technology
Light
Fixed wings
Water
Channel capacity
Surveying
lidar

Keywords

  • Accuracy evaluation
  • DEM
  • GIS
  • Irrigation area
  • Photogrammetry
  • UAVs

Cite this

@article{19455df2f403456b81a4a456f539913d,
title = "Quality of terrestrial data derived from UAV photogrammetry: A case study of Hetao irrigation district in northern China",
abstract = "Most crops in northern China are irrigated, but the topography affects the water use, soil erosion, runoff and yields. Technologies for collecting high-resolution topographic data are essential for adequately assessing these effects. Ground surveys and techniques of light detection and ranging have good accuracy, but data acquisition can be time-consuming and expensive for large catchments. Recent rapid technological development has provided new, flexible, high-resolution methods for collecting topographic data, such as photogrammetry using unmanned aerial vehicles (UAVs). The accuracy of UAV photogrammetry for generating high-resolution Digital Elevation Model (DEM) and for determining the width of irrigation channels, however, has not been assessed. A fixed-wing UAV was used for collecting high-resolution (0.15 m) topographic data for the Hetao irrigation district, the third largest irrigation district in China. 112 ground checkpoints (GCPs) were surveyed by using a real-time kinematic global positioning system to evaluate the accuracy of the DEMs and channel widths. A comparison of manually measured channel widths with the widths derived from the DEMs indicated that the DEM-derived widths had vertical and horizontal root mean square errors of 13.0 and 7.9 cm, respectively. UAV photogrammetric data can thus be used for land surveying, digital mapping, calculating channel capacity, monitoring crops, and predicting yields, with the advantages of economy, speed and ease.",
keywords = "Accuracy evaluation, DEM, GIS, Irrigation area, Photogrammetry, UAVs",
author = "Hongming Zhang and Yang, {Jiang Tao} and Baartman, {Jantiene E.M.} and Li, {Shu Qin} and Bei Jin and Han, {Wen Ting} and Xiaomei Yang and Lingtong Gai and Ritsema, {Coen J.} and Violette Geissen",
year = "2018",
month = "5",
doi = "10.25165/j.ijabe.20181103.3012",
language = "English",
volume = "11",
pages = "171--177",
journal = "International Journal of Agricultural and Biological Engineering",
issn = "1934-6344",
publisher = "Chinese Academy of Agricultural Engineering",
number = "3",

}

Quality of terrestrial data derived from UAV photogrammetry : A case study of Hetao irrigation district in northern China. / Zhang, Hongming; Yang, Jiang Tao; Baartman, Jantiene E.M.; Li, Shu Qin; Jin, Bei; Han, Wen Ting; Yang, Xiaomei; Gai, Lingtong; Ritsema, Coen J.; Geissen, Violette.

In: International Journal of Agricultural and Biological Engineering, Vol. 11, No. 3, 05.2018, p. 171-177.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Quality of terrestrial data derived from UAV photogrammetry

T2 - International Journal of Agricultural and Biological Engineering

AU - Zhang, Hongming

AU - Yang, Jiang Tao

AU - Baartman, Jantiene E.M.

AU - Li, Shu Qin

AU - Jin, Bei

AU - Han, Wen Ting

AU - Yang, Xiaomei

AU - Gai, Lingtong

AU - Ritsema, Coen J.

AU - Geissen, Violette

PY - 2018/5

Y1 - 2018/5

N2 - Most crops in northern China are irrigated, but the topography affects the water use, soil erosion, runoff and yields. Technologies for collecting high-resolution topographic data are essential for adequately assessing these effects. Ground surveys and techniques of light detection and ranging have good accuracy, but data acquisition can be time-consuming and expensive for large catchments. Recent rapid technological development has provided new, flexible, high-resolution methods for collecting topographic data, such as photogrammetry using unmanned aerial vehicles (UAVs). The accuracy of UAV photogrammetry for generating high-resolution Digital Elevation Model (DEM) and for determining the width of irrigation channels, however, has not been assessed. A fixed-wing UAV was used for collecting high-resolution (0.15 m) topographic data for the Hetao irrigation district, the third largest irrigation district in China. 112 ground checkpoints (GCPs) were surveyed by using a real-time kinematic global positioning system to evaluate the accuracy of the DEMs and channel widths. A comparison of manually measured channel widths with the widths derived from the DEMs indicated that the DEM-derived widths had vertical and horizontal root mean square errors of 13.0 and 7.9 cm, respectively. UAV photogrammetric data can thus be used for land surveying, digital mapping, calculating channel capacity, monitoring crops, and predicting yields, with the advantages of economy, speed and ease.

AB - Most crops in northern China are irrigated, but the topography affects the water use, soil erosion, runoff and yields. Technologies for collecting high-resolution topographic data are essential for adequately assessing these effects. Ground surveys and techniques of light detection and ranging have good accuracy, but data acquisition can be time-consuming and expensive for large catchments. Recent rapid technological development has provided new, flexible, high-resolution methods for collecting topographic data, such as photogrammetry using unmanned aerial vehicles (UAVs). The accuracy of UAV photogrammetry for generating high-resolution Digital Elevation Model (DEM) and for determining the width of irrigation channels, however, has not been assessed. A fixed-wing UAV was used for collecting high-resolution (0.15 m) topographic data for the Hetao irrigation district, the third largest irrigation district in China. 112 ground checkpoints (GCPs) were surveyed by using a real-time kinematic global positioning system to evaluate the accuracy of the DEMs and channel widths. A comparison of manually measured channel widths with the widths derived from the DEMs indicated that the DEM-derived widths had vertical and horizontal root mean square errors of 13.0 and 7.9 cm, respectively. UAV photogrammetric data can thus be used for land surveying, digital mapping, calculating channel capacity, monitoring crops, and predicting yields, with the advantages of economy, speed and ease.

KW - Accuracy evaluation

KW - DEM

KW - GIS

KW - Irrigation area

KW - Photogrammetry

KW - UAVs

U2 - 10.25165/j.ijabe.20181103.3012

DO - 10.25165/j.ijabe.20181103.3012

M3 - Article

VL - 11

SP - 171

EP - 177

JO - International Journal of Agricultural and Biological Engineering

JF - International Journal of Agricultural and Biological Engineering

SN - 1934-6344

IS - 3

ER -