Back to Search
Start Over
Estimating the Leaf Area Index of Winter Wheat Based on Unmanned Aerial Vehicle RGB-Image Parameters
- Source :
- Sustainability, Volume 11, Issue 23
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- The leaf area index (LAI) is not only an important parameter for monitoring crop growth, but also an important input parameter for crop yield prediction models and hydrological and climatic models. Several studies have recently been conducted to estimate crop LAI using unmanned aerial vehicle (UAV) multispectral and hyperspectral data. However, there are few studies on estimating the LAI of winter wheat using unmanned aerial vehicle (UAV) RGB images. In this study, we estimated the LAI of winter wheat at the jointing stage on simple farmland in Xinjiang, China, using parameters derived from UAV RGB images. According to gray correlation analysis, UAV RGB-image parameters such as the Visible Atmospherically Resistant Index (VARI), the Red Green Blue Vegetation Index (RGBVI), the Digital Number (DN) of Blue Channel (B) and the Green Leaf Algorithm (GLA) were selected to develop models for estimating the LAI of winter wheat. The results showed that it is feasible to use UAV RGB images for inverting and mapping the LAI of winter wheat at the jointing stage on the field scale, and the partial least squares regression (PLSR) model based on the VARI, RGBVI, B and GLA had the best prediction accuracy (R2 = 0.776, root mean square error (RMSE) = 0.468, residual prediction deviation (RPD) = 1.838) among all the regression models. To conclude, UAV RGB images not only have great potential in estimating the LAI of winter wheat, but also can provide more reliable and accurate data for precision agriculture management.
- Subjects :
- grey correlation analysis
010504 meteorology & atmospheric sciences
Mean squared error
leaf area index
Renewable Energy, Sustainability and the Environment
jointing stage
UAV
Geography, Planning and Development
Multispectral image
0211 other engineering and technologies
Hyperspectral imaging
Regression analysis
02 engineering and technology
Management, Monitoring, Policy and Law
01 natural sciences
vegetation indices
Partial least squares regression
RGB color model
Precision agriculture
Leaf area index
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Mathematics
Remote sensing
Subjects
Details
- Language :
- English
- ISSN :
- 20711050
- Database :
- OpenAIRE
- Journal :
- Sustainability
- Accession number :
- edsair.doi.dedup.....83874389a2abba90d0b381056fb4a28e
- Full Text :
- https://doi.org/10.3390/su11236829