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

Autor(es)

Molijn, Ramses A. ^[1] ; Iannini, Lorenzo ^[1] ; Rocha, Jansle Vieira ^[2] ; Hanssen, Ramon F. ^[1]

Afiliação do(s) autor(es)

^[1] Delft Univ Technol, Geosci & Remote Sensing, NL-2628 CN Delft - Netherlands

^[2] Univ Estadual Campinas, Fac Engn Agr FEAGRI, BR-13083875 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: REMOTE SENSING; v. 11, n. 9 MAY 1 2019.
• Citações Web of Science: 0

Resumo

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 SAo 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. (AU)

• Processo FAPESP: 13/50942-2 - Reflectância multiespectral por espectroscopia aplicada na predição de propriedades químicas de solo para o uso em agricultura de precisão em cana de açúcar
• Beneficiário: Paulo Sergio Graziano Magalhães
• Modalidade de apoio: Auxílio à Pesquisa - Programa BIOEN - Regular