Hou et al., 2019 - Google Patents
Study on errors propagation in synchronous atmospheric correction for HJ-2 satellitesHou et al., 2019
- Document ID
- 15578192944338674268
- Author
- Hou W
- Li Z
- Song C
- Lin J
- Ma Y
- Ge B
- Zheng F
- Publication year
- Publication venue
- AOPC 2019: Optical Sensing and Imaging Technology
External Links
Snippet
Environment-2 (HJ-2) satellites will be launched after 2019, which are designed as the successor of Environment-1 (HJ-1) satellites in Chinese Environment and Disaster Monitoring and Prediction Satellite Constellation. Different from HJ-1 satellites, a new …
- 230000001360 synchronised 0 title abstract description 18
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
- 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
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Marbach et al. | The 3MI mission: multi-viewing-channel-polarisation imager of the EUMETSAT polar system: second generation (EPS-SG) dedicated to aerosol and cloud monitoring | |
Murakami | Ocean color estimation by Himawari-8/AHI | |
Chen et al. | Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion | |
Raymond Hunt Jr et al. | Remote sensing of fuel moisture content from canopy water indices and normalized dry matter index | |
Gousset et al. | NANOCARB-21: a miniature Fourier-transform spectro-imaging concept for a daily monitoring of greenhouse gas concentration on the Earth surface | |
Serio et al. | Infrared atmospheric sounder interferometer radiometric noise assessment from spectral residuals | |
Hou et al. | Study on errors propagation in synchronous atmospheric correction for HJ-2 satellites | |
Obata et al. | Derivation of a MODIS-compatible enhanced vegetation index from visible infrared imaging radiometer suite spectral reflectances using vegetation isoline equations | |
Lindsey et al. | 10.35 μm: an atmospheric window on the GOES-R Advanced Baseline Imager with less moisture attenuation | |
Hou et al. | Preliminary study on the multispectral measurement simulations of polarized scanning atmospheric corrector image | |
Wang et al. | New method to estimate surface upwelling long-wave radiation from MODIS cloud-free data | |
Hou et al. | Hyperspectral and multispectral remote sensing of aerosols based on surface spectral reconstruction by PCA | |
Tan et al. | Analyzing the influence of atmosphere on optical remote sensing in 400 to 2500 nm wavelength spectrum | |
Lagutin et al. | Estimates of the terrestrial gross primary production for the south of Western Siberia in 2014-2021 according to OCO-2 and OCO-3 data | |
Liu et al. | Experimental OMPS radiance assimilation through one-dimensional variational analysis for total column ozone in the atmosphere | |
Sarmisokov et al. | Sensitivity of the satellite thermal infrared hyperspectrometer to variations of atmospheric characteristics | |
Zheng et al. | Seasonal change analysis of multispectral BRDF for different surface types | |
Kassar et al. | Optimal estimation MSG-SEVIRI clear-sky total column water vapour retrieval using the split window difference | |
Uprety et al. | Radiometric performance characterization of NOAA-20 VIIRS reflective solar bands | |
Dahl et al. | Cloud thermodynamic phase detection using an all-sky imaging polarimeter | |
Mallick et al. | Assimilation of CrIS hyperspectral radiances in a 4D-VAR assimilation system | |
Djikpo et al. | Comparative assessment of the accuracies of daytime land surface temperature retrieval methods using Landsat 8 and MODIS imageries in Benin, West Africa | |
Zheng et al. | Improvement of aerosol fine mode fraction retrieval from skylight measurements by degree of linear polarization: information content analysis | |
Yanovsky et al. | Learning spatial response functions from large multi-sensor AIRS and MODIS datasets | |
Gero et al. | GOSAT TANSO FTS TIR band calibration: a five year review |