Method for estimating aboveground biomass of rice based on multi-spectral images of unmanned aerial vehicle
US11029251B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 6, 2019 |
| Grant date | Jun 8, 2021 |
| Priority date | — |
| Expiry date | Jan 15, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/194
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method for estimating the aboveground biomass of rice based on multi-spectral images of an unmanned aerial vehicle (UAV), including: normatively collecting UAV multi-spectral image data of rice canopy and ground measured biomass data; after collection, preprocessing images, extracting reflectivity and texture feature parameters, calculating a vegetation index, and constructing a new texture index; and by stepwise multiple regression analysis, integrating the vegetation index and the texture index to estimate rice biomass, and establishing a multivariate linear model for estimating biomass. A new estimation model is verified for accuracy by a cross-validation method. The method has high estimation accuracy and less requirements on input data, and is suitable for the whole growth period of rice. Estimating rice biomass by integrating UAV spectrum and texture information is proposed for the first time, and can be widely used for monitoring crop growth by UAV remote sensing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.