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Showing 1 to 20 of 22 for “"Atmospheric Correction"”.

  1. REMOTE SENSING OF WATER QUALITY IN LAKE ERIE USING MODIS IMAGERY DATA

    … Lake Erie using MODIS imagery data. An accurate atmospheric correction is very important for remote sensing applications of imagery for water quality analysis, since the spectral energy from the water surface is much less than from the land surface. The existing four atmospheric correction

    ohiolink Repository record for REMOTE SENSING OF WATER QUALITY IN LAKE ERIE USING MODIS IMAGERY DATA (opens in a new tab)

  2. Radiometric validation of multi-spectral ocean colour satellite data in high biomass Southern Benguela waters

    … reference to uncertainty derived from the atmospheric correction processes, which perform unreliably in many of the matchup instances. Results show that the accuracy of the atmospheric correction does not appear to be related to the in-water constituents and is more likely due to …

    cape-town Repository record for Radiometric validation of multi-spectral ocean colour satellite data in high biomass Southern Benguela waters (opens in a new tab)

  3. Quantitative Mapping of Cyanobacterial Blooms Using Oceansat-1 OCM Satellite Data

    … to research methodology pertaining to atmospheric correction of satellite data and development of remote sensing algorithms to quantify cyanobacterial pigments. The Ocean Color Monitor (OCM) sensor provides radiance measurements similar to Sea-viewing Wide Field-of-View Sensor (SeaWiFS) …

    lsu-thes Repository record for Quantitative Mapping of Cyanobacterial Blooms Using Oceansat-1 OCM Satellite Data (opens in a new tab)

  4. Hyperspectral and polarimetric imaging of the ocean for the characterization of the surface effects and measurement uncertainties

    … the sky radiance, which requires very accurate atmospheric correction of the radiance measured at the top of the atmosphere (TOA) on the satellite and heavy validation of the derived water leaving radiance by field measurements from the ships and ocean platforms. For TOA and especially above …

    cuny Repository record for Hyperspectral and polarimetric imaging of the ocean for the characterization of the surface effects and measurement uncertainties (opens in a new tab)

  5. Surface reflectance characteristics of Langjökull, Iceland

    … the use of FLAASH for the ATM and dark pixel atmospheric correction or 6S atmospheric correction for the ETM+. These first analyses also indicated that the MODIS data was broadly in agreement with these two datasets. However, analysis of the differences between the different spatial resolution …

    cambridge Repository record for Surface reflectance characteristics of Langjökull, Iceland (opens in a new tab)

  6. Neural networks applied to ocean colour remote sensing for environmental monitoring

    … satellites needs to be corrected for various atmospheric and water surface effects. After atmospheric correction, the water leaving signal can be isolated and different algorithms exist to retrieve chlorophyll a. In open waters, blue-green ratios perform well (O’Reilly et al., 1998). In …

    strathclyde Repository record for Neural networks applied to ocean colour remote sensing for environmental monitoring (opens in a new tab)

  7. A Comparison of Atmospheric Models MODTRAN and 6S Based on Top of Atmosphere Reflectances of Natural Targets as Applied to Selected Mid-resolution Sensors

    … the satellite sensor and the target on Earth. Atmospheric phenomena like scattering and absorption play significant roles in perturbing the radiation received by sensor. Hence, there is a need to mitigate or correct for these atmospheric effects. Various forms of Radiative Transfer Code (RTC) …

    sdstate Repository record for A Comparison of Atmospheric Models MODTRAN and 6S Based on Top of Atmosphere Reflectances of Natural Targets as Applied to Selected Mid-resolution Sensors (opens in a new tab)

  8. Towards high fidelity mapping of global inland water quality using earth observation data

    … parameters that were used to validate current atmospheric correction and chlorophyll-a retrieval algorithms. The study highlighted the difficulties of obtaining robust retrieval estimates from a coarse spatial resolution sensor from highly variable eutrophic water bodies. Atmospheric correction

    cape-town Repository record for Towards high fidelity mapping of global inland water quality using earth observation data (opens in a new tab)

  9. Estimating Carbon Pool and Carbon Release due to Tropical Deforestation Using High-resolution Satellite Data

    … corrected using image-to-image registration. Atmospheric correction was done by modified dark object subtraction method. Stratified sampling design based on the remote sensing image was applied for assessing the above-ground biomass and carbon content of the study area. Field sampling was done …

    qucosa-diss

  10. Monitoring vegetation dynamics in Zhongwei, an arid city of Northwest China

    … (2) Examine simple Dark Object Subtraction (DOS) atmospheric correction method to support temporal generalization of sub-pixel mapping algorithm; (3) And characterize patterns of vegetation cover dynamics based on change detection analysis. We found the RF algorithm, combined with simple DOS, …

    vt Repository record for Monitoring vegetation dynamics in Zhongwei, an arid city of Northwest China (opens in a new tab)

  11. Review of current radiometer technology with suggestions for future South African satellites

    … Sea Surface Temperature (SST) along with some atmospheric correction channels, is presented. Synergy with data obtained from other instruments, such as an Infra-Red (IR) sounder, is also discussed.

    cape-town Repository record for Review of current radiometer technology with suggestions for future South African satellites (opens in a new tab)

  12. Testing the Limits of Hyperspectral Airborne Remote Sensing by Mapping Eelgrass in Elkhorn Slough

    … aerial photography (e.g., Google Earth). Atmospherically corrected and calibrated hyperspectral imagery was needed to resolve the subtle spectral differences between sediment and seagrass in this turbid estuary. Better calibration and atmospheric correction of the imagery coupled with …

    uconn-diss Repository record for Testing the Limits of Hyperspectral Airborne Remote Sensing by Mapping Eelgrass in Elkhorn Slough (opens in a new tab)

  13. Development and verification of the NASA Multi-Angle Imager for Aerosols operational cloud mask

    … derived from the Multi-Angle Implementation of Atmospheric Correction Bi-Directional Reflectance Distribution Function (MAIAC BRDF) data set. The cloud mask algorithm works by checking if an observation exceeds or falls short of a threshold for any of the 7 observables, resulting in a cloudy or …

    uiuc Repository record for Development and verification of the NASA Multi-Angle Imager for Aerosols operational cloud mask (opens in a new tab)

  14. 40 Years Global Estimation of Aerosol Optical Depth Profiles Using MISR and TOMS Aerosol Products

    … imagery. The proper characterization of the atmospheric components like aerosols, ozone, water vapor, etc. are essential to uncover the information content of the satellite imagery in the most correct form. As one of the active components of the atmosphere, the characteristics of the aerosol …

    sdstate Repository record for 40 Years Global Estimation of Aerosol Optical Depth Profiles Using MISR and TOMS Aerosol Products (opens in a new tab)

  15. Machine Learning & Big Data Analyses for Wildfire & Air Pollution Incorporating GIS & Google Earth Engine

    … uses an advanced Multi-angle Implementation of Atmospheric Correction (MAIAC) algorithm to produce 1-km resolution images and retrieves Aerosol Optical Depth (AOD) at 470 nm and 550 nm wavelengths. These retrieved AOD values from MODIS are validated using the ground-based sun photometers Aerosol …

    arkansas Repository record for Machine Learning & Big Data Analyses for Wildfire & Air Pollution Incorporating GIS & Google Earth Engine (opens in a new tab)

  16. Qualitative and quantitative analyses of Lake Baikal's surface-waters using ocean colour satellite data (SeaWiFS)

    … data involved adapting the SeaDAS (NASA) atmospheric-correction processing to match as close as possible the specific conditions of Lake Baikal. Next, various Chl-a algorithms were tested on the atmospherically-corrected optimized SeaWiFS data set (years 2001 to 2002), comparing the …

    potsdam-diss Repository record for Qualitative and quantitative analyses of Lake Baikal's surface-waters using ocean colour satellite data (SeaWiFS) (opens in a new tab)

  17. Satellite Remote Sensing of Suspended Sediment Concentrations in Turbid Rivers

    … some crucial influencing factors such as in situ atmospheric conditions, types and particle sizes of suspended sediments and concentrations of other constituents were unknown. For large SSC values up to 7468 mg l-1, appropriate SSC indicators could be single bands, band ratios and inherent optical …

    nus Repository record for Satellite Remote Sensing of Suspended Sediment Concentrations in Turbid Rivers (opens in a new tab)

  18. Quantifying phytoplankton biomass and sediment in river plumes along the Agulhas Bank using remotely sensed data with deep learning techniques

    … complex waters, along coastal regions where Atmospheric Correction (AC) is known to be challenging. The aim of this project was to use four rivers along the Agulhas Bank of South Africa to test satellite-derived Total Suspended Matter (TSM) and chlorophyll-a concentration ([Chl-a]) data …

    cape-town Repository record for Quantifying phytoplankton biomass and sediment in river plumes along the Agulhas Bank using remotely sensed data with deep learning techniques (opens in a new tab)

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