# Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-high-resolution-airborne-and-satellite-imagery-to-assess-crop-growth-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chenghai Yang,J. H. Everitt,Qian Du,Bin Luo,Jocelyn Chanussot |
| Citations | 142 |
| DOI | 10.1109/jproc.2012.2196249 |
| Fields | Earth and Planetary Sciences,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2111752896 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Bin Luo](https://scholariq.org/researchers/bin-luo/)

## Paper primary topic

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

## Paper topics

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Remote Sensing and Land Use](https://scholariq.org/topics/remote-sensing-and-land-use/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.