Search results for " Sentinel-2"

showing 5 items of 15 documents

Analysis of Biophysical Variables in an Onion Crop (Allium cepa L.) with Nitrogen Fertilization by Sentinel-2 Observations

2022

The production of onions bulbs (Allium cepa L.) requires a high amount of nitrogen. Ac cording to the demand of sustainable agriculture, the information-development and communication technologies allow for improving the efficiency of nitrogen fertilization. In the south of the province of Buenos Aires, Argentina, between 8000 and 10,000 hectares per year−1 are cultivated in the districts of Villarino and Patagones. This work aimed to analyze the relationship of biophysical variables: leaf area index (LAI), canopy chlorophyll content (CCC), and canopy cover factor (fCOVER), with the nitrogen fertilization of an intermediate cycle onion crop and its effects on yield. A field trial study with …

NitrogenNitrógenoLeaf Area IndexPrecision AgricultureIndice de Superfície FoliarIndice de VegetaciónCebollaRemote SensingAgricultura de PrecisiónOnionsSentinel - 2Teledetecciónvegetation index; LAI; nitrogen; remote sensing; Sentinel-2; precision farmingCentinela -2Agronomy and Crop ScienceVegetation IndexAgronomy; Volume 12; Issue 8; Pages: 1884
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Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model

2013

Abstract: Lookup-table (LUT)-based radiative transfer model inversion is considered a physically-sound and robust method to retrieve biophysical parameters from Earth observation data but regularization strategies are needed to mitigate the drawback of ill-posedness. We systematically evaluated various regularization options to improve leaf chlorophyll content (LCC) and leaf area index (LAI) retrievals over agricultural lands, including the role of (1) cost functions (CFs); (2) added noise; and (3) multiple solutions in LUT-based inversion. Three families of CFs were compared: information measures, M-estimates and minimum contrast methods. We have only selected CFs without additional parame…

PROSAILradiative transfer modelsScienceQEstimatorInversion (meteorology)biophysical parametersLUT-based inversionDatabase normalizationAtmospheric radiative transfer codescost functionsApproximation errorLookup tableGeneral Earth and Planetary Sciencesbiophysical parameters; LUT-based inversion; cost functions; radiative transfer models; PROSAIL; Sentinel-2Sentinel-2Leaf area indexQAImage resolutionRemote sensingMathematicsRemote Sensing; Volume 5; Issue 7; Pages: 3280-3304
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Planktothrix rubescens in freshwater reservoirs: remote sensing potentiality for mapping cell density

2012

Planktothrix rubescens is sadly famous for producing microcystins (MCs), which are powerful hepatotoxins. During the winter 2005/06, P. rubescens has been found in the Pozzillo, Nicoletti, Prizzi and Garcia reservoirs, Sicily; in 2008 it was also detected in SS. Trinita di Delia and Castello reservoirs. Indeed, during periods of low shortwave irradiance such as winter, when light weakly penetrates water column and the water cools, P. rubescens filaments float up to the surface, forming red-colored blooms. Ancillary meteorological measurements highlighted low air temperatures between two frosts in December 2007 and February 2008, with a simultaneous reduction in the incoming total solar radi…

Settore ICAR/03 - Ingegneria Sanitaria-AmbientaleSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaIrradiancePlanktothrix rubescens cells density LANDSAT MODIS MERIS Sentinel-2Water columnGeographyTemporal resolutionSatelliteEmpirical relationshipBloomShortwaveImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensing
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Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks

2021

Farm-scale crop yield prediction is a natural development of sustainable agriculture, producing a rich amount of food without depleting and polluting environmental resources. Recent studies on crop yield production are limited to regional-scale predictions. The regional-scale crop yield predictions usually face challenges in capturing local yield variations based on farm management decisions and the condition of the field. For this research, we identified the need to create a large and reusable farm-scale crop yield production dataset, which could provide precise farm-scale ground-truth prediction targets. Therefore, we utilise multi-temporal data, such as Sentinel-2 satellite images, weath…

hybrid neural networkSVDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910farm-scale crop yield prediction; deep learning; hybrid neural network; convolutional neural network; recurrent neural network; Sentinel-2 satellite remote sensing datadeep learningconvolutional neural networkSentinel-2 satellite remote sensing datarecurrent neural networkAgriculturefarm-scale crop yield predictionAgronomy and Crop ScienceAgronomy
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Flooding in the Digital Twin Earth: The Case Study of the Enza River Levee Breach in December 2017

2023

The accurate delineation of flood hazard maps is a key element of flood risk management policy. Flood inundation models are fundamental for reproducing the boundaries of flood-prone areas, but their calibration is limited to the information available on the areas affected by inundation during observed flood events (typically fragmentary photo, video or partial surveys). In recent years, Earth Observation data have supported flood monitoring and emergency response (e.g., the Copernicus Emergency Service) thanks to the proliferation of available satellite sensors, also at high spatial resolution. Under this umbrella, the study investigates a levee breach that occurred in December 2017 along t…

remote sensinginundationlevee breakriverGeography Planning and DevelopmentSentinel-1Digital Twin Earthrivers; inundation; remote sensing; Digital Twin Earth; Sentinel-1; Sentinel-2; levee breakSentinel-2Aquatic ScienceBiochemistrySettore ICAR/01 - IdraulicaWater Science and TechnologyWater
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