Improved nitrogen retrievals with airborne-derived fluorescence and plant traits quantified from VNIR-SWIR hyperspectral imagery in the context of precision agriculture
| Autor: | C. Camino, Pilar Hernández, Pablo J. Zarco-Tejada, Victoria González-Dugo, J.C. Sillero |
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| Rok vydání: | 2018 |
| Předmět: |
Global and Planetary Change
010504 meteorology & atmospheric sciences 0211 other engineering and technologies Hyperspectral imaging Growing season Context (language use) 02 engineering and technology Management Monitoring Policy and Law 01 natural sciences VNIR chemistry.chemical_compound chemistry Chlorophyll Environmental science Satellite imagery Precision agriculture Computers in Earth Sciences Chlorophyll fluorescence 021101 geological & geomatics engineering 0105 earth and related environmental sciences Earth-Surface Processes Remote sensing |
| Zdroj: | International Journal of Applied Earth Observation and Geoinformation. 70:105-117 |
| ISSN: | 1569-8432 |
| DOI: | 10.1016/j.jag.2018.04.013 |
| Popis: | In semi-arid conditions, nitrogen (N) is the main limiting factor of crop yield after water, and its accurate quantification remains essential. Recent studies have demonstrated that solar-induced chlorophyll fluorescence (SIF) quantified from hyperspectral imagery is a reliable indicator of photosynthetic activity in the context of precision agriculture and for early stress detection purposes. The role of fluorescence might be critical to our understanding of N levels due to its link with photosynthesis and the maximum rate of carboxylation (Vcmax) under stress. The research presented here aimed to assess the contribution played by airborne-retrieved solar-induced chlorophyll fluorescence (SIF) to the retrieval of N under irrigated and rainfed Mediterranean conditions. The study was carried out at three field sites used for wheat phenotyping purposes in Southern Spain during the 2015 and 2016 growing seasons. Airborne campaigns acquired imagery with two hyperspectral cameras covering the 400–850 nm (20 cm resolution) and 950–1750 nm (50 cm resolution) spectral regions. The performance of multiple regression models built for N quantification with and without including the airborne-retrieved SIF was compared with the performance of models built with plant traits estimated by model inversion, and also with standard approaches based on single spectral indices. Results showed that the accuracy of the models for N retrieval increased when chlorophyll fluorescence was included (r2LOOCV ≥ 0.92; p |
| Databáze: | OpenAIRE |
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