{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T14:00:03Z","timestamp":1772719203132,"version":"3.50.1"},"reference-count":93,"publisher":"Copernicus GmbH","issue":"17","license":[{"start":{"date-parts":[[2018,9,14]],"date-time":"2018-09-14T00:00:00Z","timestamp":1536883200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["PTDC\/AAG-MAA\/3699\/2014"],"award-info":[{"award-number":["PTDC\/AAG-MAA\/3699\/2014"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biogeosciences"],"abstract":"<jats:p>Abstract. We applied an empirical modelling approach for gross\nprimary productivity (GPP) estimation from hyperspectral reflectance of\nMediterranean grasslands undergoing different fertilization treatments. The\nobjective of the study was to identify combinations of vegetation indices\nand bands that best represent GPP changes between the annual peak of growth\nand senescence dry out in Mediterranean grasslands. In situ hyperspectral reflectance of vegetation and CO2 gas exchange\nmeasurements were measured concurrently in unfertilized (C) and fertilized plots\nwith added nitrogen (N), phosphorus (P) or the combination of N, P and\npotassium (NPK). Reflectance values were aggregated according to their\nsimilarity (r\u226590\u2009%) in 26 continuous wavelength intervals (Hyp). In\naddition, the same reflectance values were resampled by reproducing the\nspectral bands of both the Sentinel-2A Multispectral Instrument (S2) and Landsat\n8 Operational Land Imager (L8) and simulating the signal that would be captured in\nideal conditions by either Sentinel-2A or Landsat\u00a08. An optimal procedure for selection of the best subset of predictor variables\n(LEAPS) was applied to identify the most effective set of vegetation indices\nor spectral bands for GPP estimation using Hyp, S2 or L8. LEAPS selected\nvegetation indices according to their explanatory power, showing their\nimportance as indicators of the dynamic changes occurring in community\nvegetation properties such as canopy water content (NDWI) or chlorophyll\nand carotenoids\u2009\u2215\u2009chlorophyll ratio (MTCI, PSRI, GNDVI) and revealing their\nusefulness for grasslands GPP estimates. For Hyp and S2, bands performed as well as vegetation indices to estimate\nGPP. To identify spectral bands with a potential for improving GPP estimates based on vegetation\nindices, we applied a two-step procedure which clearly\nindicated the short-wave infrared region of the spectra as the most relevant\nfor this purpose. A comparison between S2- and L8-based models showed similar\nexplanatory powers for the two simulated satellite sensors when both\nvegetation indices and bands were included in the model. Altogether, our results describe the potential of sensors on board\nSentinel-2 and Landsat 8 satellites for monitoring grassland phenology and\nimproving GPP estimates in support of a sustainable agriculture management.<\/jats:p>","DOI":"10.5194\/bg-15-5455-2018","type":"journal-article","created":{"date-parts":[[2018,9,14]],"date-time":"2018-09-14T03:58:48Z","timestamp":1536897528000},"page":"5455-5471","source":"Crossref","is-referenced-by-count":33,"title":["On estimating the gross primary productivity of Mediterranean grasslands under different fertilization regimes using vegetation indices and hyperspectral reflectance"],"prefix":"10.5194","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9118-193X","authenticated-orcid":false,"given":"Sofia","family":"Cerasoli","sequence":"first","affiliation":[]},{"given":"Manuel","family":"Campagnolo","sequence":"additional","affiliation":[]},{"given":"Joana","family":"Faria","sequence":"additional","affiliation":[]},{"given":"Carla","family":"Nogueira","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3586-8526","authenticated-orcid":false,"given":"Maria da Concei\u00e7\u00e3o","family":"Caldeira","sequence":"additional","affiliation":[]}],"member":"3145","published-online":{"date-parts":[[2018,9,14]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Aires, L. 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