OPPORTUNITIES AND LIMITATIONS FOR IMAGE-BASED REMOTE SENSING IN PRECISION CROP MANAGEMENT [Review]

摘要

This review addresses ha potential of image-based remote sensing to provide spatially and temporally distributed information for precision crop management (PCM). PCM is an agricultural management system designed to target crop ann soil inputs according to within-field requirements to optimize profitability and protect the environment. Progress in PCM has been hampered by a lack of timely, distributed information an crop and soil conditions. Based on a review of the information requirements of PCM, eight areas were identified in which image-based remote sensing technology could provide in formation that is currently lacking or inadequate. Recommendations were made for applications with potential for near-term implementation with available remote sensing technology and instrumentation. We found that both aircraft- and satellite-based remote sensing could provide valuable information for PCM applications. Images from aircraft-based sensors have a unique role for monitoring seasonally variable crop/soil conditions and for time-specific and time-critical crop management; current satellite-based sensors have limited, but important, applications; and upcoming commercial Earth observation satellites mall provide the resolution, timeliness, and high quality required for many PCM operations. The current limitations for image-based remote sensing applications are mainly due to sensor attributes, such as restricted spectral range, coarse spatial resolution, slow turnaround time, and inadequate repeat coverage. According to experts in PCM, the potential market for remote sensing products in PCM is good. Future work should be focused on assimilating remotely sensed information into existing decision support systems (DSS), acid conducting economic and technical analysis of remote sensing applications with season-long pilot projects. (C) Elsevier Science Inc., 1997. [References: 199]