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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Cisneros, Amparo [1] ; Fiorio, Peterson [1] ; Menezes, Patricia [2] ; Pasqualotto, Nieves [3] ; Van Wittenberghe, Shari [3] ; Bayma, Gustavo [4] ; Nogueira, Sandra Furlan [4]
Total Authors: 7
Affiliation:
[1] Univ Sao Paulo, Luiz de Queiroz Sch Agr, Biosyst Engn Dept, BR-13918110 Piracicaba, SP - Brazil
[2] Brazilian Agr Res Corp EMBRAPA, Embrapa Pecuaria Sudeste, Km 234, BR-13560970 Sao Carlos, SP - Brazil
[3] Univ Valencia, Image Proc Lab IPL, Valencia 46980 - Spain
[4] Brazilian Agr Res Corp EMBRAPA, Embrapa Meio Ambiente, Rodovia SP 340, Km 127, 5 Tanquinho Velho, BR-13918110 Jaguaritina, SP - Brazil
Total Affiliations: 4
Document type: Journal article
Source: AGRONOMY-BASEL; v. 10, n. 5 MAY 2020.
Web of Science Citations: 0
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 Sao 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 (R-2) 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 R-2 = 0.54 and a RMSE = 1800 kg ha(-1). For the LAI, the best index was the NAOC (R-2 = 0.57 and RMSE = 1.4 m(2) 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. (AU)

FAPESP's process: 13/22435-9 - Hyperspectral data use for prediction of leaf nitrogen content in sugarcane
Grantee:Peterson Ricardo Fiorio
Support Opportunities: Program for Research on Bioenergy (BIOEN) - Regular Program Grants