Spectral Behavior of Maize, Rice, Soy, and Oat Crops Using Multi-spectral Images from Sentinel-2

Angulo L.; Pamboukian S.

Spectral Behavior of Maize, Rice, Soy, and Oat Crops Using Multi-spectral Images from Sentinel-2

Tipo

Artigo de evento

Data de publicação

2021

Periódico

Smart Innovation, Systems and Technologies

Citações (Scopus)

1

Autores

Angulo L.
Pamboukian S.

Resumo

© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.Monitoring the status of crops at regional, local and smallholder farming levels is essential in the search for sustainable agricultural management. One of the methodologies applied for this purpose is precision agriculture, which, together with the technological tools and equipment (Global Navigation Satellite Systems, Remote Sensing, Geographic Information Systems and drones), form an integrated agricultural system based on information of crop production and evolution. Measures of the interaction response from electromagnetic radiation (ER) with soil and vegetation are a basis for the development of agricultural yields and harvest index predictors. In this research, spectral signatures and the Normalized Difference Vegetation Index (NDVI) were analyzed for maize, soybean, rice and oat crops in a growing area of 320 ha, located in the city of Tremembé (São Paulo-Brazil) for the summer harvest period from November to March of the crop cycles of 2017/2018 and 2018/2019, through the use of multi-spectral images of Sentinel-2 satellite platform (and one image from Landsat-8 to cover the missing image for December 2017). The results showed a higher spectral response (especially in the RedEdge and Near-InfraRed) for soybean crops, followed by rice and corn around the 60–90 days of sowing, and a decrease with the approach to the harvest. In addition, were found higher NDVI values to the crop cycle 2017/2018 (0.962), around 55–80 days of sowing for the soybean and rice crops. However, the development of crop cycle 2018/2019 shows more homogeneous spectral results.

Assuntos Scopus

Agricultural system , Agricultural yields , Global Navigation Satellite Systems , Multispectral images , Normalized difference vegetation index , Satellite platforms , Sustainable agricultural , Technological tools