Estimating leaf nitrogen and chlorophyll content in wheat by correcting canopy structure effect through multi-angular remote sensing.
Yuanyuan PanWenxuan WuJiawen ZhangYuejiao ZhaoJiayi ZhangYangyang GuXia YaoTao ChengYan ZhuWeixing CaoYongchao TianPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- remote sensing
- change detection
- remote sensing images
- multispectral
- remote sensing imagery
- hyperspectral
- spectral data
- remote sensing data
- high resolution
- automatic image registration
- satellite images
- image analysis
- image fusion
- satellite imagery
- image processing
- high spatial resolution
- satellite data
- hyperspectral images
- remotely sensed imagery
- land cover
- hyperspectral imaging
- multiresolution
- remotely sensed images
- digital image analysis
- land cover classification
- hyperspectral remote sensing
- climate change
- wireless sensor networks
- data streams
- remotely sensed data
- weather prediction
- neural network