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Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy

arXiv.org Machine Learning

According to a recent investigation, an estimated 33-50% of the world's coral reefs have undergone degradation, believed to be as a result of climate change. A strong driver of climate change and the subsequent environmental impact are greenhouse gases such as methane. However, the exact relation climate change has to the environmental condition cannot be easily established. Remote sensing methods are increasingly being used to quantify and draw connections between rapidly changing climatic conditions and environmental impact. A crucial part of this analysis is processing spectroscopy data using radiative transfer models (RTMs) which is a computationally expensive process and limits their use with high volume imaging spectrometers. This work presents an algorithm that can efficiently emulate RTMs using neural networks leading to a multifold speedup in processing time, and yielding multiple downstream benefits.


Joint Characterization of Multiscale Information in High Dimensional Data

arXiv.org Machine Learning

High dimensional data can contain multiple scales of variance. Analysis tools that preferentially operate at one scale can be ineffective at capturing all the information present in this cross-scale complexity. We propose a multiscale joint characterization approach designed to exploit synergies between global and local approaches to dimensionality reduction. We illustrate this approach using Principal Components Analysis (PCA) to characterize global variance structure and t-stochastic neighbor embedding (t-sne) to characterize local variance structure. Using both synthetic images and real-world imaging spectroscopy data, we show that joint characterization is capable of detecting and isolating signals which are not evident from either PCA or t-sne alone. Broadly, t-sne is effective at rendering a randomly oriented low-dimensional map of local clusters, and PCA renders this map interpretable by providing global, physically meaningful structure. This approach is illustrated using imaging spectroscopy data, and may prove particularly useful for other geospatial data given robust local variance structure due to spatial autocorrelation and physical interpretability of global variance structure due to spectral properties of Earth surface materials. However, the fundamental premise could easily be extended to other high dimensional datasets, including image time series and non-image data.


Spectroscopy and Chemometrics News Weekly #13, 2020

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We have updated the free NIR-Predictor-Software Spectral Data format support list for many mobile and benchtop NIR Spectroscopy Sensors. Used in QualityControl for Food Fruits Milk Meat LINK CalibrationModel.com has changed the pricing structure and NIRS-Calibration licensing options (including new perpetual and unlimited systems).


Spectroscopy and Chemometrics News Weekly #13, 2020

#artificialintelligence

We have updated the free NIR-Predictor-Software Spectral Data format support list for many mobile and benchtop NIR Spectroscopy Sensors. Used in QualityControl for Food Fruits Milk Meat LINK CalibrationModel.com has changed the pricing structure and NIRS-Calibration licensing options (including new perpetual and unlimited systems).


Spectroscopy and Chemometrics News Weekly #29, 2021

#artificialintelligence

NIR Calibration-Model Services Spectroscopy and Chemometrics News Weekly 28, 2021 NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK This week's NIR news Weekly is sponsored by Your-Company-Name-Here – NIR-spectrometers. Check out their product page … link Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us. The cases of aromatic ring, C O, C N and C-Cl functionalities" LINK "Combining Vis-NIR spectroscopy and advanced statistical analysis for estimation of soil chemical properties relevant for forest road construction" LINK "Use of NIRS for the assessment of meat quality traits in open-air free-range Iberian pigs" LINK "DETECTING CONTAMINANTS IN POST-CONSUMER PLASTIC PACKAGING WASTE BY A NIR HYPERSPECTRAL IMAGING-BASED CASCADE DETECTION …" (87)80084-9 LINK Infrared Spectroscopy (IR) and Near-Infrared ...