Agricultural production is one of the most important Brazilian economic activities accounting for about 21,5% of total
Gross Domestic Product. In this scenario, the use of satellite images for estimating biophysical parameters along the
phenological development of agricultural crops allows the conclusion about the sanity of planting and helps the
projection on design production trends. The objective of this study is to analyze the temporal patterns and variation of six
vegetion indexes obtained from the bands of Sentinel 2A satellite, associated with greenness (NDVI and ClRE),
senescence (mARI and PSRI) and water content (DSWI and NDWI) to estimate maize production. The temporal pattern
of the indices was analyzed in function of productivity data collected in-situ. The results obtained evidenced the
importance of the SWIR and Red Edge ranges with Pearson correlation values of the temporal mean for NDWI 0.88 and
0.76 for CLRE.
Lucas Saran Macedo and Fernando Shinji Kawakubo, "Temporal analysis of vegetation indices related to biophysical parameters using Sentinel 2A images to estimate maize production," Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 1042118 (Presented at SPIE Remote Sensing: September 14, 2017; Published: 2 November 2017); https://doi.org/10.1117/12.2280399.
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