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Sugarcane Productivity Mapping through C-Band and L-Band SAR and Optical Satellite Imagery

1
Geoscience and Remote Sensing, Delft University of Technology, 2628 CN Delft, The Netherlands
2
Faculdade de Engenharia Agrícola (FEAGRI), Unicamp, Campinas 13083-875, Brazil
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(9), 1109; https://doi.org/10.3390/rs11091109
Received: 9 March 2019 / Revised: 24 April 2019 / Accepted: 1 May 2019 / Published: 9 May 2019
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Abstract

Space-based remote sensing imagery can provide a valuable and cost-effective set of observations for mapping crop-productivity differences. The effectiveness of such signals is dependent on several conditions that are related to crop and sensor characteristics. In this paper, we present the dynamic behavior of signals from five Synthetic Aperture Radar (SAR) sensors and optical sensors with growing sugarcane, focusing on saturation effects and the influence of precipitation events. In addition, we analyzed the level of agreement within and between these spaceborne datasets over space and time. As a result, we produced a list of conditions during which the acquisition of satellite imagery is most effective for sugarcane productivity monitoring. For this, we analyzed remote sensing data from two C-band SAR (Sentinel-1 and Radarsat-2), one L-band SAR (ALOS-2), and two optical sensors (Landsat-8 and WorldView-2), in conjunction with detailed ground-reference data acquired over several sugarcane fields in the state of São Paulo, Brazil. We conclude that satellite imagery from L-band SAR and optical sensors is preferred for monitoring sugarcane biomass growth in time and space. Additionally, C-band SAR imagery offers the potential for mapping spatial variations during specific time windows and may be further exploited for its precipitation sensitivity. View Full-Text
Keywords: sugarcane growth monitoring; SAR and optical remote sensing; precipitation effects; saturation effects sugarcane growth monitoring; SAR and optical remote sensing; precipitation effects; saturation effects
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Molijn, R.A.; Iannini, L.; Vieira Rocha, J.; Hanssen, R.F. Sugarcane Productivity Mapping through C-Band and L-Band SAR and Optical Satellite Imagery. Remote Sens. 2019, 11, 1109.

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