Nothing Special   »   [go: up one dir, main page]

Sobrino et al., 2002 - Google Patents

Surface emissivity retrieval from digital airborne imaging spectrometer data

Sobrino et al., 2002

View PDF @Full View
Document ID
17669178185011920338
Author
Sobrino J
Jiménez‐Muñoz J
Labed‐Nachbrand J
Nerry F
Publication year
Publication venue
Journal of Geophysical Research: Atmospheres

External Links

Snippet

A study has been carried out on the most recent algorithms for the estimation of land surface emissivity (ε) using high‐resolution data (Digital Airborne Imaging Spectrometer, DAIS) over the Rhine Valley (France) and Castilla La Mancha (Spain). Three published methods have …
Continue reading at agupubs.onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colour
    • G01J3/28—Investigating the spectrum
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00—Radiation pyrometry
    • G01J5/10—Radiation pyrometry using electric radiation detectors
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V9/00—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00
    • G01V9/005—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00 by thermal methods, e.g. after generation of heat by chemical reactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V8/00—Prospecting or detecting by optical means
    • G01V8/02—Prospecting
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N25/00—Investigating or analyzing materials by the use of thermal means

Similar Documents

Publication Publication Date Title
Hulley et al. The ASTER Global Emissivity Dataset (ASTER GED): Mapping Earth's emissivity at 100 meter spatial scale
Deeter et al. Vertical resolution and information content of CO profiles retrieved by MOPITT
Wang et al. A practical single‐channel algorithm for land surface temperature retrieval: application to landsat series data
Ren et al. Atmospheric water vapor retrieval from Landsat 8 thermal infrared images
Tobin et al. Use of Atmospheric Infrared Sounder high–spectral resolution spectra to assess the calibration of Moderate resolution Imaging Spectroradiometer on EOS Aqua
von Hoyningen‐Huene et al. Retrieval of aerosol optical thickness over land surfaces from top‐of‐atmosphere radiance
Sun et al. A universal dynamic threshold cloud detection algorithm (UDTCDA) supported by a prior surface reflectance database
Gao et al. Water vapor retrievals using Moderate Resolution Imaging Spectroradiometer (MODIS) near‐infrared channels
Jiménez‐Muñoz et al. A generalized single‐channel method for retrieving land surface temperature from remote sensing data
Smith et al. Compact Reconnaissance Imaging Spectrometer observations of water vapor and carbon monoxide
Tobin et al. Suomi‐NPP CrIS radiometric calibration uncertainty
Cristóbal et al. Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature
Kleipool et al. Earth surface reflectance climatology from 3 years of OMI data
Inamdar et al. Land surface temperature retrieval at high spatial and temporal resolutions over the southwestern United States
Roca et al. A multisatellite analysis of deep convection and its moist environment over the Indian Ocean during the winter monsoon
Sobrino et al. Surface emissivity retrieval from digital airborne imaging spectrometer data
Hulley et al. ASTER land surface emissivity database of California and Nevada
Desai et al. Multi‐sensor approach for high space and time resolution land surface temperature
Feng et al. Measurement‐based estimates of direct radiative effects of absorbing aerosols above clouds
Pestana et al. Bias correction of airborne thermal infrared observations over forests using melting snow
Dong et al. A radiation closure study of Arctic stratus cloud microphysical properties using the collocated satellite‐surface data and Fu‐Liou radiative transfer model
Pan et al. Spectral performance and calibration of the Suomi NPP OMPS Nadir Profiler sensor
Mishra et al. Atmospheric Correction of Multispectral VNIR Remote Sensing Data: Algorithm and Inter‐sensor Comparison of Aerosol and Surface Reflectance Products
Coll et al. Evaluation of split‐window and dual‐angle correction methods for land surface temperature retrieval from Envisat/Advanced Along Track Scanning Radiometer (AATSR) data
Varade et al. Improved assessment of atmospheric water vapor content in the Himalayan regions around the Kullu valley in India using Landsat‐8 data