This paper presents a quantitative analysis of patterns visible in high-resolution NDVI images obtained from airborne remote sensing. Attention focuses on the use of wavelets to distinguish patterns of interest for precision agriculture at several scales. A general procedure for analyzing these images is presented and applied to a single field in the Netherlands, monitored at four different days during one growing season. Wavelet decomposition of the images is capable to reveal and quantify patterns present at different resolution levels and directions and to filter information that is less relevant for precision agriculture applications.Wavelet approximation with different wavelet functions is useful within the backward-looking and the forward-looking approaches of decision-making by allowing adaptation of the analysis to the characteristics of the available images or maps and to the possibilities of the existing site-specific instruments, respectively.
|Journal||International Journal of applied Earth Observation and Geoinformation|
|Publication status||Published - 2001|
- remote sensing
- precision agriculture