INVESTIGADORES
OESTERHELD Martin
artículos
Título:
Simple regression models to estimate light interception in wheat crops with Sentinel‐2 and a handheld sensor
Autor/es:
PELLEGRINI, PEDRO; COSSANI, C. MARIANO; BELLA, CARLOS M. DI; PIÑEIRO, GERVASIO; SADRAS, VÍCTOR O.; OESTERHELD, MARTÍN
Revista:
CROP SCIENCE
Editorial:
CROP SCIENCE SOC AMER
Referencias:
Año: 2020 vol. 60 p. 1607 - 1616
ISSN:
0011-183X
Resumen:
Capture of radiation by crop canopies drives growth rate, grain set, and yield. Sincethe fraction of photosynthetically active radiation absorbed by green area (fAPARg)correlates with normalized difference vegetation index (NDVI), remote sensors havebeen used to monitor vegetation. With a 10-m spatial resolution and 5-d revisitingtime, 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 fieldcrops. Handheld sensors, such as GreenSeeker, are another alternative to estimatefAPARg. Our objectives were (a) to test the ability of indices derived from Sentinel-2and GreenSeeker NDVI to capture fAPARg of wheat (Triticum aestivum L.) crops,(b) to compare these sensors? performance against the moderate resolution imagingspectroradiometer (MODIS), and (c) to compare our Sentinel-2 model estimationswith the available algorithm. In wheat fields in the southwest Argentinean Pampas, onseveral sampling dates, we measured fAPARg with a quantum light sensor and NDVIwith a GreenSeeker. We regressed fAPARg measurements with vegetation indicesfrom the different sources and selected the best models. Sentinel-2 and GreenSeekerNDVI precisely estimated fAPARg, with a performance similar to MODIS (p < .05;RMSD = 0.09, 0.11, and 0.08; R2 = .89, .88, and .95, respectively). The availablealgorithm to estimate fAPARg with Sentinel-2 yielded biased estimations, mainly inthe lower range of fAPARg. These results suggest that simple models may providefAPARg estimations with Sentinel-2 and GreenSeeker in wheat crops with an accuracy suitable for agricultural applications
