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Multisource Remote Sensing Field Monitoring for Improving Crop Production Management

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2021 ASABE Annual International Virtual Meeting  2100552.(doi:10.13031/aim.202100552)
Authors:   Yanbo Huang, Gary Feng, Haile Tewolde
Keywords:   Airborne Remote Sensing, Crop Field Monitoring, Crop Production Management, Multisource Remote Sensing, Satellite, Unmanned Aerial Vehicle.

Abstract. Remote sensing monitoring of crop fields has been developed for about 100 years. This development began from airborne photography and has evolved to multisource, systematic monitoring for crop production process modeling, optimization, and control. Now, remote sensing data for crop field monitoring are mainly from imaging platforms of satellites, manned aircraft, and ground-based systems. In recent years, unmanned aerial vehicles (UAVs) have been increasingly used for low-altitude imaging of crop fields. However, each of the platforms has advantages and disadvantages. For example, a satellite image can cover a large area of fields, but the spatial resolution may not be high enough while UAV images can provide very high spatial resolution but to cover a field of a few hectares a UAV imager needs to provide tens of and even hundreds of overlaid images. The mosaic of the UAV images may contain unignorable geometric and radiometric mismatches due to unmatched features and projections between images and lapses of imaging time of different images. Therefore, for more reliable crop field monitoring, multisource remote sensing data from satellite, manned and unmanned aircraft to ground-based systems should be coordinated to integrate and fuse the data spatially, spectrally, and temporally. This study will focus on airborne remote sensing for crop field management analysis and discuss the potential of space-borne satellite imagery for enhancing the analysis. Through case evaluations, this study will reveal that the integration of multisource remote sensing data is necessary for improving the monitoring of crop fields.

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