On the Semi-Automatic Retrieval of Biophysical Parameters Based on Spectral Index Optimization
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Summary
It is suggested that a systematic SI assessment is a strong requirement in the quality assurance approach for accurate biophysical parameter retrieval.
- Type
- article
- Published
- 2014-05-28
- Cited by
- 100
- References
- 66
- Access
- Open access
- OpenAlex
- https://openalex.org/W2009517474
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14208571
Keywords
Remote sensing, Radiative transfer, Computer science, Curve fitting, Imaging spectrometer
References
- Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content
- RETRIEVAL OF VEGETATION BIOPHYSICAL VARIABLES FROM CHRIS/PROBA DATA IN THE SPARC CAMPAING
- Evaluation of Narrowband and Broadband Vegetation Indices for Determining Optimal Hyperspectral Wavebands for Agricultural Crop Characterization
- Synergies Between VSWIR and TIR Data for the Urban Environment: An Evaluation of the Potential for the Hyperspectral Infrared Imager (HyspIRI)
- The fourth radiation transfer model intercomparison (RAMI‐IV): Proficiency testing of canopy reflectance models with ISO‐13528
- A dorsiventral leaf radiative transfer model: Development, validation and improved model inversion techniques
- Spectral calibration and atmospheric correction of ultra-fine spectral and spatial resolution remote sensing data. Application to CASI-1500 data
- A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems
- Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters
- Retrieving Leaf Area Index of Boreal Conifer Forests Using Landsat TM Images
- Optical remote sensing of vegetation: Modeling, caveats, and algorithms
- A Shortwave Infrared Modification to the Simple Ratio for LAI Retrieval in Boreal Forests: An Image and Model Analysis
- Optimizing LUT-Based RTM Inversion for Semiautomatic Mapping of Crop Biophysical Parameters from Sentinel-2 and -3 Data: Role of Cost Functions
- Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3
- The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status.
- The PRISMA payload optomechanical design, a high performance instrument for a new hyperspectral mission
- The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission
- Sensitivity of narrowband vegetation indices to boreal forest LAI, reflectance seasonality and species composition
- Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data
- The EnMAP hyperspectral imager—An advanced optical payload for future applications in Earth observation programmes
Cited by
- Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison
- Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review
- An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning
- Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy
- Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters
- Regional Leaf Area Index Retrieval Based on Remote Sensing: The Role of Radiative Transfer Model Selection
- Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series
- Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration
- Matching the phenology of Net Ecosystem Exchange and vegetation indices estimated with MODIS and FLUXNET in-situ observations
- Analysis of cross-validation methods for robust retrieval of biophysical parameters
- Optimization of spectral indices and long-term separability analysis for classification of cereal crops using multi-spectral RapidEye imagery
- Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis
- Spectral band selection for vegetation properties retrieval using Gaussian processes regression
- Comparative analysis of vegetation indices, non-parametric and physical retrieval methods for monitoring nitrogen in wheat using UAV-based multispectral imagery
- Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk
- Derivation of temporally continuous LAI reference maps through combining the LAINet observation system with CACAO
- A Prior Knowledge-Based Method to Derivate High-Resolution Leaf Area Index Maps with Limited Field Measurements
- Retrieval of cloud ice water path using SAPHIR on board Megha-Tropiques over the tropical ocean
- SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra
- Leaf water content estimation by functional linear regression of field spectroscopy data
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