Search results for " leaf area"

showing 4 items of 24 documents

Power sensitivity analysis of multi-frequency, multi-polarized, multi-temporal SAR data for soil-vegetation system variables characterization

2017

Abstract: The knowledge of spatial and temporal variability of soil water content and others soil-vegetation variables (leaf area index, fractional cover) assumes high importance in crop management. Where and when the cloudiness limits the use of optical and thermal remote sensing techniques, synthetic aperture radar (SAR) imagery has proven to have several advantages (cloud penetration, day/night acquisitions and high spatial resolution). However, measured backscattering is controlled by several factors including SAR configuration (acquisition geometry, frequency and polarization), and target dielectric and geometric properties. Thus, uncertainties arise about the more suitable configurati…

Synthetic aperture radarSpatial correlation010504 meteorology & atmospheric sciencesCloud coverScience0211 other engineering and technologies02 engineering and technologyBackscatteringSoil water content01 natural scienceslaw.inventionsensitivity analysislawSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalibackscattering; soil water content; surface roughness; leaf area index; sensitivity analysisRadarLeaf area indexWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSurface roughneQSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSoil watersurface roughnessLeaf area indexSensitivity analysiBackscattering; Leaf area index; Sensitivity analysis; Soil water content; Surface roughness; Earth and Planetary Sciences (all)General Earth and Planetary SciencesEnvironmental scienceSpatial variabilityEarth and Planetary Sciences (all)Settore ICAR/06 - Topografia E Cartografia
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Transport and partitioning of 13C-photoassimilate between peach fruiting shoots

2008

We used a non-intrusive method (13CO2 feeding) and a manipulative approach to see whether fruiting shoots in peach trees are autonomous or may import carbon from neighboring shoots under forced conditions, and whether the degree of autonomy is influenced by the source-sink relationship on the shoot. In three experiments, leaf to fruit ratio (L:F) of selected fruiting shoots was moderately (2005 and 2006) or strongly (extreme enforcing 2006) altered to either encourage or discourage movement of carbon from 13C-labeled sending shoots (SFS) to receiving fruiting shoots (RFS), both located on the same main scaffold of V-shaped peach trees. At stage I and III of fruit growth, fruit and shoot tip…

branch autonomy carbon isotopes fruiting shoot leaf area Prunus persica sink strength source-sink relations
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Growth stage and conditions affect sorbitol:sucrose ratio in peach source and sink organs

2008

Along with sucrose, sorbitol represents the major photosynthetic product and the main form of translocated carbon in peach. In leaves, the ability to synthesize and accumulate sorbitol and sucrose increases with leaf age or distance from the apex until full maturity. Also, in the internodes of a growing shoot sorbitol:sucrose ratio (SOR:SUC) increases with distance from the apex. In mature leaves, SOR:SUC increases in response to fruit sink removal and water deficit, due mainly to sorbitol rather than sucrose accumulation. Data from ‘Encore’ peach show that SOR:SUC remains fairly constant around 2:1 from the leaf blade all the way to the fruit peduncle and drops sharply in the fruit flesh a…

carbohydrates crop load fruit leaf area root tip shoot tip
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Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data.

2021

Nitrogen (N) is one of the key nutrients supplied in agricultural production worldwide. Over-fertilization can have negative influences on the field and the regional level (e.g., agro-ecosystems). Remote sensing of the plant N of field crops presents a valuable tool for the monitoring of N flows in agro-ecosystems. Available data for validation of satellite-based remote sensing of N is scarce. Therefore, in this study, field spectrometer measurements were used to simulate data of the Sentinel-2 (S2) satellites developed for vegetation monitoring by the ESA. The prediction performance of normalized ratio indices (NRIs), random forest regression (RFR) and Gaussian processes regression (GPR) f…

leaf area indexARTMO toolboxSciencenitrogen; chlorophyll; leaf area index; agro-ecosystem monitoring; spectral indices; random forest; gaussian processes regression; ARTMO toolboxQspectral indiceschlorophyllgaussian processes regressionagro-ecosystem monitoringnitrogenrandom forestRemote sensing
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