Simple regression models to estimate light interception in wheat crops with Sentinel - 2 and a handheld sensor

Capture of radiation by crop canopies drives growth rate, grain set, and yield. Since the fraction of photosynthetically active radiation absorbed by green area (fAPARg) correlates with normalized difference vegetation index (NDVI), remote sensors have been used to monitor vegetation. With a 10-m sp...

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Detalles Bibliográficos
Otros Autores: Pellegrini, Pedro, Cossani, Cesar Mariano, Di Bella, Carlos Marcelo, Piñeiro, Gervasio, Sadras, Victor Oscar, Oesterheld, Martín
Formato: Artículo
Lenguaje:Inglés
Materias:
RADIATION
CROP CANOPIES
PHOTOSYNTHETICALLY
WHEAT CROPS
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2020pellegrini.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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245 1 0 |a Simple regression models to estimate light interception in wheat crops with Sentinel - 2 and a handheld sensor 
520 |a Capture of radiation by crop canopies drives growth rate, grain set, and yield. Since the fraction of photosynthetically active radiation absorbed by green area (fAPARg) correlates with normalized difference vegetation index (NDVI), remote sensors have been used to monitor vegetation. With a 10-m spatial resolution and 5-d revisiting time, the recently launched Sentinel 2 satellite is a promising tool for fAPARg monitoring. However, the available algorithm to estimate fAPARg is based on simulations of canopy interception of several vegetation types and was never tested in field crops. Handheld sensors, such as GreenSeeker, are another alternative to estimate fAPARg. Our objectives were (a) to test the ability of indices derived from Sentinel-2 and GreenSeeker NDVI to capture fAPARg of wheat (Triticum aestivum L.) crops, (b) to compare these sensors’ performance against the moderate resolution imaging spectroradiometer (MODIS), and (c) to compare our Sentinel-2 model estimations with the available algorithm. In wheat fields in the southwest Argentinean Pampas, on several sampling dates, we measured fAPARg with a quantum light sensor and NDVI with a GreenSeeker. We regressed fAPARg measurements with vegetation indices from the different sources and selected the best models. Sentinel-2 and GreenSeeker NDVI precisely estimated fAPARg, with a performance similar to MODIS (p smaller than .05; RMSD = 0.09, 0.11, and 0.08; R2 = .89, .88, and .95, respectively). The available algorithm to estimate fAPARg with Sentinel-2 yielded biased estimations, mainly in the lower range of fAPARg. These results suggest that simple models may provide fAPARg estimations with Sentinel-2 and GreenSeeker in wheat crops with an accuracy suitable for agricultural applications. 
650 |2 Agrovoc  |9 26 
653 |a RADIATION 
653 |a CROP CANOPIES 
653 |a PHOTOSYNTHETICALLY 
653 |a WHEAT CROPS 
700 1 |a Pellegrini, Pedro  |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |9 38417 
700 1 |a Cossani, Cesar Mariano  |u South Australian Research and Development Institute. Adelaide, SA, Australia.  |u The Univerity of Adelaide: School of Agriculture, Food and Wine. Adelaide, SA, Australia.  |9 14711 
700 1 |a Di Bella, Carlos Marcelo  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.  |9 10683 
700 1 |9 22554  |a Piñeiro, Gervasio  |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |u Universidad de la República. Facultad de Agronomía. Departamento de Sistemas Ambientales. Montevideo, Uruguay. 
700 1 |9 714  |a Sadras, Victor Oscar  |u South Australian Research and Development Institute. Adelaide, SA, Australia.  |u The Univerity of Adelaide: School of Agriculture, Food and Wine. Adelaide, SA, Australia. 
700 1 |9 8019  |a Oesterheld, Martín  |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. 
773 0 |t Crop science  |w (AR-BaUFA)SECS000064  |g Vol.60, no.3 (2020), p.1607-1616, tbls., grafs. 
856 |f 2020pellegrini  |i en reservorio  |q application/pdf  |u http://ri.agro.uba.ar/files/intranet/articulo/2020pellegrini.pdf  |x ARTI202103 
856 |z LINK AL EDITOR  |u https://www.wiley.com/ 
942 |c ARTICULO 
942 |c ENLINEA 
976 |a AAG 

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