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Mapping Productivity and Essential Biophysical Parameters of Cultivated Tropical Grasslands from Sentinel-2 Imagery

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Mapping Productivity and Essential Biophysical Parameters of Cultivated Tropical Grasslands from Sentinel-2 Imagery

dc.contributor.author	Cisneros, Amparo
dc.contributor.author	Fiorio, Peterson
dc.contributor.author	Menezes, Patricia
dc.contributor.author	Pasqualotto Vicente, Nieves
dc.contributor.author	Van Wittenberghe, Shari
dc.contributor.author	Bayma, Gustavo
dc.contributor.author	Furlan Nogueira, Sandra
dc.date.accessioned	2021-04-29T12:52:39Z
dc.date.available	2021-04-29T12:52:39Z
dc.date.issued	2020
dc.identifier.citation	Cisneros, Amparo Fiorio, Peterson Menezes, Patricia Pasqualotto Vicente, Nieves Van Wittenberghe, Shari Bayma, Gustavo Furlan Nogueira, Sandra 2020 Mapping Productivity and Essential Biophysical Parameters of Cultivated Tropical Grasslands from Sentinel-2 Imagery Agronomy-Basel 10 5 711
dc.identifier.uri	https://hdl.handle.net/10550/78976
dc.description.abstract	Nitrogen (N) is the main nutrient element that maintains productivity in forages; it is inextricably linked to dry matter increase and plant support capacity. In recent years, high spectral and spatial resolution remote sensors, e.g., the European Space Agency (ESA)'s Sentinel satellite missions, have become freely available for agricultural science, and have proven to be powerful monitoring tools. The use of vegetation indices has been essential for crop monitoring and biomass estimation models. The objective of this work is to test and demonstrate the applicability of different vegetation indices to estimate the biomass productivity, the foliar nitrogen content (FNC), the plant height and the leaf area index (LAI) of several tropical grasslands species submitted to different nitrogen (N) rates in an experimental area of São Paulo, Brazil. Field reflectance data of Panicum maximum and Urochloa brizantha species' cultivars were taken and convoluted to the Sentinel-2 satellite bands. Subsequently, different vegetation indices (Normalized Difference Vegetation Index (NDI), Three Band Index (TBI), Difference light Height (DLH), Three Band Dall'Olmo (DO), and Normalized Area Over reflectance Curve (NAOC)) were tested for the experimental grassland areas, and composed of Urochloa decumbens and Urochloa brizantha grass species, which were sampled and destructively analyzed. Our results show the use of different relevant Sentinel-2 bands in the visible (VIS)-near infrared (NIR) regions for the estimation of the different biophysical parameters. The FNC obtained the best correlation for the TBI index combining blue, green and red bands with a determination coefficient (R2) of 0.38 and Root Mean Square Error (RMSE) of 3.4 g kg−1. The estimation of grassland productivity based on red-edge and NIR bands showed a R2 = 0.54 and a RMSE = 1800 kg ha−1. For the LAI, the best index was the NAOC (R2 = 0.57 and RMSE = 1.4 m2 m−2). High values of FNC, productivity and LAI based on different sets of Sentinel-2 bands were consistently obtained for areas under N fertilization.
dc.language.iso	eng
dc.relation.ispartof	Agronomy-Basel, 2020, vol. 10, num. 5, p. 711
dc.subject	Teledetecció
dc.subject	Imatges Processament
dc.subject	Nitrogen
dc.title	Mapping Productivity and Essential Biophysical Parameters of Cultivated Tropical Grasslands from Sentinel-2 Imagery
dc.type	journal article	es_ES
dc.date.updated	2021-04-29T12:52:40Z
dc.identifier.doi	10.3390/agronomy10050711
dc.identifier.idgrec	146336
dc.rights.accessRights	open access	es_ES