| _ | biochemical | _ |
| Accurate Estimation of Gross Primary Production of Paddy Rice Cropland with UAV Imagery-Driven Leaf | biochemical | Model |
| Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf | biochemical | properties retrieval |
| BioVL-QR: Egocentric | biochemical | Vision-And-Language Dataset Using Micro QR Codes |
| Comparison of Empirical and Physical Modelling for Estimation of | biochemical | and Biophysical Vegetation Properties: Field Scale Analysis across an Arctic Bioclimatic Gradient |
| Customizable Visualization on Demand for Hierarchically Organized Information in | biochemical | Networks |
| Effect of Vertical Distribution of Crop Structure and | biochemical | Parameters of Winter Wheat on Canopy Reflectance Characteristics and Spectral Indices |
| Efficient RTM-based training of machine learning regression algorithms to quantify biophysical and | biochemical | traits of agricultural crops |
| Egocentric | biochemical | Video-and-Language Dataset |
| Estimating | biochemical | Parameters Of Tea (camellia Sinensis (l.)) Using Hyperspectral Techniques |
| Estimation of | biochemical | Compounds in Tradescantia Leaves Using VIS-NIR-SWIR Hyperspectral and Chlorophyll a Fluorescence Sensors |
| Estimation of Individual Tree-Level Structural and | biochemical | Traits for Seabuckthorn Forests in Lhasa Valley Plain by Coupling UAV-Based LiDAR and Multispectral Images with N-PROSAIL Model |
| Evaluation of Informative Bands Used in Different PLS Regressions for Estimating Leaf | biochemical | Contents from Hyperspectral Reflectance |
| Evaluation Of Various Spectral Inputs For Estimation Of Forest | biochemical | And Structural Properties From Airborne Imaging Spectroscopy Data |
| Exploring Transferable Techniques to Retrieve Crop Biophysical and | biochemical | Variables Using Sentinel-2 Data |
| Imaging Spectroscopic Analysis of | biochemical | Traits for Shrub Species in Great Basin, USA |
| Inversion Approach for | biochemical | Parameters of Vegetation Based On The Prospect-5 Model, An |
| LACC2.0: Improving the LACC Algorithm for Reconstructing Satellite-Derived Time Series of Vegetation | biochemical | Parameters |
| Machine Learning Framework for Estimating Leaf | biochemical | Parameters From Its Spectral Reflectance and Transmission Measurements, A |
| Novel Principal Component Analysis Method for the Reconstruction of Leaf Reflectance Spectra and Retrieval of Leaf | biochemical | Contents, A |
| Optimal Leaf | biochemical | Selection for Mapping Species Diversity Based on Imaging Spectroscopy, The |
| Physical and | biochemical | Responses to Sequential Tropical Cyclones in the Arabian Sea |
| Quantifying | biochemical | Traits over the Patagonian Sub-Antarctic Forests and Their Relation to Multispectral Vegetation Indices |
| Real-Time Visualization of Tissue Surface | biochemical | Features Derived From Fluorescence Lifetime Measurements |
| Retrieval of Arctic Vegetation Biophysical and | biochemical | Properties from CHRIS/PROBA Multi-Angle Imagery Using Empirical and Physical Modelling |
| Sensitivity Analysis of Vegetation Reflectance to | biochemical | and Biophysical Variables at Leaf, Canopy, and Regional Scales |
| Spectral Retrieval of Eucalypt Leaf | biochemical | Traits by Inversion of the Fluspect-Cx Model |
| Using Multi-Angular Spectral Reflection of Dorsiventral Leaves to Improve the Transferability of PLSR Models for Estimating Leaf | biochemical | Traits |
27 for biochemical
| _ | biochemistry | _ |
| Decoupling Canopy Structure and Leaf | biochemistry | : Testing the Utility of Directional Area Scattering Factor (DASF) |
| Joint Use of PROSAIL and DART for Fast LUT Building: Application to Gap Fraction and Leaf | biochemistry | Estimations over Sparse Oak Stands |
| Limitations and Improvements of the Leaf Optical Properties Model Leaf Incorporating | biochemistry | Exhibiting Reflectance and Transmittance Yields (LIBERTY) |
| novel covariance function for predicting vegetation | biochemistry | from hyperspectral imagery with Gaussian processes, A |
| Predicting foliar | biochemistry | of tea (Camellia sinensis) using reflectance spectra measured at powder, leaf and canopy levels |