Search results for "artmo"

showing 3 items of 3 documents

Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models

2019

Vegetation indices (VIs) are widely used in optical remote sensing to estimate biophysical variables of vegetated surfaces. With the advent of spectroscopy technology, spectral bands can be combined in numerous ways to extract the desired information. This resulted in a plethora of proposed indices, designed for a diversity of applications and research purposes. However, it is not always clear whether they are sensitive to the variable of interest while at the same time, responding insensitive to confounding factors. Hence, to be able to quantify the robustness of VIs, a systematic evaluation is needed, thereby introducing a widest possible variety of biochemical and structural heterogeneit…

Canopy010504 meteorology & atmospheric sciences0211 other engineering and technologiesImaging spectrometer02 engineering and technology01 natural sciencesprosailEnMAPRadiative transferSensitivity (control systems)Leaf area indexglobal sensitivity analysis; vegetation indices; PROSAIL; INFORM; ARTMOlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingartmoSpectral bandsVegetation15. Life on landinformglobal sensitivity analysisvegetation indicesGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QRemote Sensing
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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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An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning

2015

Physically-based radiative transfer models (RTMs) help in understanding the processes occurring on the Earth’s surface and their interactions with vegetation and atmosphere. When it comes to studying vegetation properties, RTMs allows us to study light interception by plant canopies and are used in the retrieval of biophysical variables through model inversion. However, advanced RTMs can take a long computational time, which makes them unfeasible in many real applications. To overcome this problem, it has been proposed to substitute RTMs through so-called emulators. Emulators are statistical models that approximate the functioning of RTMs. Emulators are advantageous in real practice because…

multi-outputComputer scienceradiative transfer modelsScienceExtrapolationemulatorMachine learningcomputer.software_genreemulator; machine learning; radiative transfer models; multi-output; ARTMO; GUI toolbox; FLEX; fluorescenceAtmosphereARTMOPartial least squares regressionRadiative transferMATLABcomputer.programming_languageArtificial neural networkbusiness.industryQStatistical modelVegetationToolboxFLEXmachine learningPrincipal component analysisGeneral Earth and Planetary SciencesfluorescenceArtificial intelligencebusinessAlgorithmcomputerGUI toolboxRemote Sensing
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