WATER STRESS DETECTION WITH HIGH RESOLUTION SATELLITE MULTISPECTRAL IMAGES IN COMMERCIAL PEAR ORCHARDS IN BELGIUM

摘要

Precision farming emerged from a growing shift from general to specific decision making in agricultural management. It requires accurate and consistent information on soil and plant conditions at temporal and spatial scales that match agricultural management decisions (Pinter et al., 2003). In-situ measurements can provide the required information, but are time consuming and involve destructive sampling. Consequently, only a limited number of both samples and repetitions are feasible concerning fieldin-situ measurements. Technological advances in remote sensing provide alternatives for in-situ measurements that are non-destructive, time efficient and cost benefit (Dorigo et al., 2004). In addition, the recent improvements in spatial and temporal resolution of satellite imagery facilitate accurate crop health monitoring and thus create opportunities to be used for precision farming.