Abstract
Abstract The aim of this paper is to show the ability of multitemporal short-wave satellite data with high spatial resolution (SPOT data) to characterize crop systems in two ways: (1) description of crop-rotation management by identification of the existing crops and optimization of data acquisition for that purpose; (2) analysis of radiometric time evolution of the crops—evolution of mean response (for radiances and vegetation index) and variability (within and between fields), related to their phenological development, cropping practices and weather conditions. The need for precise corrections of atmospheric effects for multitemporal data series is shown.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
