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Multifaceted Spectral Feature Interaction Effects Enhance Remote Sensing Inversion of Chlorophyll in Cadmium-Stressed Rice

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Uncertainty in Remote Sensing and GIS
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Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation
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Interpretable machine learning algorithms to predict leaf senescence date of deciduous trees
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Neural-network model for estimating leaf chlorophyll concentration in rice under stress from heavy metals using four spectral indices
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The usage of 10-fold cross-validation and grid search to enhance ML methods performance in solar farm power generation prediction
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Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping
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Machine learning methods to predict cadmium (Cd) concentration in rice grain and support soil management at a regional scale
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Methods for estimating leaf nitrogen concentration of winter oilseed rape (Brassica napus L.) using in situ leaf spectroscopy
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Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm
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Online prediction model based on support vector machine
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Robust quantification of riverine land cover dynamics by high-resolution remote sensing
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Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard
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Predicting soil phosphorus and studying the effect of texture on the prediction accuracy using machine learning combined with near-infrared spectroscopy
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Risk forewarning model for rice grain Cd pollution based on Bayes theory
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Geographical variation of cadmium in commercial rice brands in Bangladesh: Human health risk assessment
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Environmental and human health risks from cadmium exposure near an active lead-zinc mine and a copper smelter, China
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A novel framework for improving soil organic matter prediction accuracy in cropland by integrating soil, vegetation and human activity information
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Methods to aggregate turbulent fluxes over heterogeneous surfaces: application to SALSA data set in Mexico
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Mapping heavy metals in polluted soil by disjunctive kriging
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Increased Prediction Accuracy Using Combined Genomic Information and Physiological Traits in A Soft Wheat Panel Evaluated in Multi-Environments
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Effects of cadmium stress on growth and physiological characteristics of sassafras seedlings
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Uncertainty of atmospheric correction algorithms for chlorophyll α concentration retrieval in lakes from Sentinel-2 data
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Overfitting problem and the over-training in the era of data: Particularly for Artificial Neural Networks
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Variation Analysis of Spectral Characteristics of Reclamation Vegetation in a Rare Earth Mining Area Under Environmental Stress
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Improved Random Forest for Classification
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Reliable Accuracy Estimates from k-Fold Cross Validation
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Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking
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Error and uncertainty in habitat models
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Employing elevation data for efficient mapping of soil pollution on floodplains
inferredcites →https://doi.org/10.1177/0309133307084626openalex-extracted
Recent developments in estimating land surface biogeophysical variables from optical remote sensing
inferredcites →https://doi.org/10.1364/ao.4.000011openalex-extracted
Spectral Properties of Plants
inferredcites →https://doi.org/10.3389/fnut.2022.1014147openalex-extracted
Spatial distribution and risk assessment of fluorine and cadmium in rice, corn, and wheat grains in most karst regions of Guizhou province, China
inferredcites →https://doi.org/10.3390/agronomy12071729openalex-extracted
Estimation of Leaf Area Index and Above-Ground Biomass of Winter Wheat Based on Optimal Spectral Index
inferredcites →https://doi.org/10.3390/agronomy13020337openalex-extracted
Estimating Chlorophyll Fluorescence Parameters of Rice (Oryza sativa L.) Based on Spectrum Transformation and a Joint Feature Extraction Algorithm
inferredcites →https://doi.org/10.3390/app112210878openalex-extracted
Non-Destructive Detection of Asymptomatic Ganoderma boninense Infection of Oil Palm Seedlings Using NIR-Hyperspectral Data and Support Vector Machine
inferredcites →https://doi.org/10.3390/ijerph19042338openalex-extracted
A Novel Algorithm to Estimate the Significance Level of a Feature Interaction Using the Extreme Gradient Boosting Machine
inferredcites →https://doi.org/10.3390/rs11020128openalex-extracted
Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)
inferredcites →https://doi.org/10.3390/rs14225801openalex-extracted
Comparison of PROSAIL Model Inversion Methods for Estimating Leaf Chlorophyll Content and LAI Using UAV Imagery for Hemp Phenotyping
inferredcites →https://doi.org/10.3390/w13050664openalex-extracted
Research on Inversion Mechanism of Chlorophyll—A Concentration in Water Bodies Using a Convolutional Neural Network Model
inferredcites →https://doi.org/10.5194/essd-2023-87openalex-extracted
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SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
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SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data
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