Aerosol Optical Depth Retrieval With Aviris Data A Test Of Tafkaa PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Aerosol Optical Depth Retrieval With Aviris Data A Test Of Tafkaa PDF full book. Access full book title Aerosol Optical Depth Retrieval With Aviris Data A Test Of Tafkaa.

Aerosol Optical Depth Retrieval With AVIRIS Data: A Test of Tafkaa

Aerosol Optical Depth Retrieval With AVIRIS Data: A Test of Tafkaa
Author:
Publisher:
Total Pages: 57
Release: 2002
Genre:
ISBN:

Download Aerosol Optical Depth Retrieval With AVIRIS Data: A Test of Tafkaa Book in PDF, ePub and Kindle

Using solar wavelength radiance data obtained from the airborne AVIRIS instrument, during the LEO experiment, an analysis of aerosol optical depth (AOD) was completed using Tafkaa - a program developed by the Naval Research Laboratory (NRL). The objective of the analysis was to compare Tafkaa-retrieved AOD with AOD retrieved from SeaWiFS, and ground-based sun photometers. The intent of the study was to test enhanced AOD analysis using the hyperspectral coverage provided by AVIRIS. Comparisons between AOD retrieved by Tafkaa provided results consistent with SeaWiFS AOD retrieval and the AOD determined by ground-based sunphotometers in regions with minimal sediment and sun glint. A reliable sun glint mask was produced and applied to remove the effects of sun glint in the AVIRIS data.


Geo-spatial Image and Data Exploitation II

Geo-spatial Image and Data Exploitation II
Author: Society of Photo-optical Instrumentation Engineers
Publisher: SPIE-International Society for Optical Engineering
Total Pages: 114
Release: 2001
Genre: Technology & Engineering
ISBN:

Download Geo-spatial Image and Data Exploitation II Book in PDF, ePub and Kindle


Improved Retrieval of Aerosol Optical Depth by Satellite

Improved Retrieval of Aerosol Optical Depth by Satellite
Author: Easan Evans Drury
Publisher:
Total Pages: 202
Release: 2009
Genre:
ISBN:

Download Improved Retrieval of Aerosol Optical Depth by Satellite Book in PDF, ePub and Kindle

We further improve the AOD retrieval method using an extensive ensemble of aircraft, ground-based, and satellite aerosol observations during the ICARTT field campaign over eastern North America in summer 2004. The aircraft measurements show narrower aerosol size distributions than those typically assumed in models, and correcting this leads to higher model and satellite retrieved AODs. We find that single scattering albedos calculated assuming externally mixed aerosol more closely represent observations than those calculated assuming internal mixing. Our improved MODIS AOD retrieval compares well to the ground-based AERONET data (R = 0.84, slope = 1.02), significantly improving on the MODIS operational products. Inference of surface PM 2.5 from our MODIS AOD retrieval shows good correlation to the EPA-AQS data (R = 0.78) but a high regression slope (slope = 1.48). The high slope is seen in all AOD inferred PM2 5 concentrations (AERONET: slope = 2.04; MODIS c005: slope = 1.51) and is caused by an overestimate of PM2 5 over strong source regions which could reflect the mid day peak in sulfate concentrations corresponding to AOD sampling times.


Aerosol Optical Depth Retrievals from High-resolution Commercial Satellite Imagery Over Areas of High Surface Reflectance

Aerosol Optical Depth Retrievals from High-resolution Commercial Satellite Imagery Over Areas of High Surface Reflectance
Author:
Publisher:
Total Pages: 169
Release: 2006
Genre: Aerosols
ISBN:

Download Aerosol Optical Depth Retrievals from High-resolution Commercial Satellite Imagery Over Areas of High Surface Reflectance Book in PDF, ePub and Kindle

The advancement and proliferation of high-resolution commercial imaging satellites presents a new opportunity for overland aerosol characterization. Current aerosol optical depth retrieval methods typically fail over areas with high surface reflectance, such as urban areas and deserts, since the upwelling radiance due to scattering by aerosols is small compared to the radiance resulting from surface reflection. The method proposed here uses shadows cast on the surface to exploit the differences between radiance from the adjacent shaded and unshaded areas of the scene. Given uniform surface reflectance for the shaded and unshaded areas, the difference in reflected radiance measured by a satellite sensor is related to the direct transmission of solar radiation and inversely proportional to total optical depth. Using an iterative approach, surface reflectance and mean aerosol reflectance can be partitioned to refine the retrieved total optical depth and, ultimately, determine the aerosol optical depth. Initial results based on QuickBird imagery and AERONET data collected during the UAE2 campaign, as well as archive imagery and AERONET data for four other cities, indicate that aerosol optical depth retrievals are possible in the visible and near-infrared region with an uncertainty of "0.04 for areas with surface reflectance values of 0.15 (15%) or greater.


Aerosol Optical Depth Retrieval by NPS Model Modified for SEAWIFS Input

Aerosol Optical Depth Retrieval by NPS Model Modified for SEAWIFS Input
Author: Brady A. Brown
Publisher:
Total Pages: 77
Release: 2002-03-01
Genre:
ISBN: 9781423508069

Download Aerosol Optical Depth Retrieval by NPS Model Modified for SEAWIFS Input Book in PDF, ePub and Kindle

Using visible wavelength radiance data obtained from the spaceborne Sea-viewing Wide Field of-view Sensor (SeaWiFS), during the Aerosol Characterization Experiment-Asia (ACE-Asia), an analysis of aerosol optical depth (AOD) was completed by modification to the NPS AOD Model previously compiled for NOAA geosynchronous- and polar-orbiting satellites. The objective of the analysis was to calibrate the linearized, single-scatter algorithm, estimated bi-directional surface reflectance, and phase function parameters. The intent of the study was to provide enhanced temporal AOD coverage with the addition of the orbiting SeaWiFS eight-channel radiometer to the established NOAA constellation of five-channel AVHRR-equipped satellites. The work has operational significance in providing timely, accurate remote information to military operators of identification and targeting systems. Possible applications include detection and warning of international treaty violation of reducing the adverse public health effects by weapons of mass destruction of pollution advection on global weather patterns.


Retrieval of Aerosol Optical Depth from Modis Data at 500 M Resolution Compared with Ground Measurement in the State of Indiana

Retrieval of Aerosol Optical Depth from Modis Data at 500 M Resolution Compared with Ground Measurement in the State of Indiana
Author: Fahed Alhaj Mohamad
Publisher:
Total Pages: 78
Release: 2015
Genre: Air
ISBN:

Download Retrieval of Aerosol Optical Depth from Modis Data at 500 M Resolution Compared with Ground Measurement in the State of Indiana Book in PDF, ePub and Kindle

Objective: "The purpose of this research is: Study the use of Moderate Resolution Imaging Spectroradiometer (MODIS) data in retrieving the aerosol optical depth (AOD) over Indiana State at high resolution of 500 meters. Examine the potential of using the resulted AOD data as an indicator of particulate air pollution by comparing the satellite derived AOD data with the ground measurements (provided from the continuous air monitors available over the study area). If an association should be found, AOD data would be used to map particulate matter (PM) concentration. Assess current and future ambient concentrations of air pollutants in the State of Indiana using the AOD."


Verification of Aerosol Optical Depth Retrievals Using Cloud Shadows Retrieved from Satellite Imagery

Verification of Aerosol Optical Depth Retrievals Using Cloud Shadows Retrieved from Satellite Imagery
Author:
Publisher:
Total Pages: 86
Release: 2008
Genre:
ISBN:

Download Verification of Aerosol Optical Depth Retrievals Using Cloud Shadows Retrieved from Satellite Imagery Book in PDF, ePub and Kindle

A technique for deriving aerosol optical depths by measuring the radiance inside and outside of shaded regions is expanded to include shadows from clouds. Previous research focused on utilizing QuickBird satellite imagery. The 2.4 meter resolution of QuickBird allowed for sampling to focus on building-generated shadows. Research was done on several different surface types, including dirt, grass, sand, and pavement. The research presented in this thesis focuses on the challenges presented by attempting this technique with three other types of imagery Moderate Resolution Imaging Spectrometer (MODIS), IKONOS, and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). The lower resolution of MODIS and ASTER does not lend itself to focusing on building shadows, but rather cloud shadows. Results from sampling cloud-generated shadows show this method has promise, much like previous studies and opens up aerosol optical depth determination using this technique to a wide variety of imagery as well as additional sensor platforms.


Automating the Shadow Method for Aerosol Optical Depth Retrieval

Automating the Shadow Method for Aerosol Optical Depth Retrieval
Author:
Publisher:
Total Pages: 43
Release: 2007
Genre:
ISBN:

Download Automating the Shadow Method for Aerosol Optical Depth Retrieval Book in PDF, ePub and Kindle

A new method for remote sensing retrieval of Aerosol Optical Depth was proposed and investigated by Vincent (2006). This shadow-based method uses the radiance difference between shadow and non-shadow regions in QuickBird high resolution commercial satellite imagery to estimate Aerosol Optical Depth. Though the process is initially time-consuming, requiring a high level of user knowledge to accomplish the procedure, great potential exists for further development into a stand-alone operational method for overland retrievals at any location and time. It is the automation of this process in order to make it more operational in nature that is the purpose of this investigation. Knowledge is gained in the realm of predicting shadow location for future times. Specific process automation is applied through computer programming to decrease the computational complexity of the method. Also the physical variations of shadow regions are investigated in terms of their brightness change across various spatial profiles. This study of shadow region variation is termed shadow morphology and seeks to provide a user with optimum radiance sampling regions within an observed shadow region. Through the integration of these automation techniques, a more unified and operationally focused iteration of the shadow method is derived.


Aerosol Optical Depth Analysis with NOAA Goes and Poes in the Western Atlantic

Aerosol Optical Depth Analysis with NOAA Goes and Poes in the Western Atlantic
Author: Arunas P. Kuciauskas
Publisher:
Total Pages: 101
Release: 2002-06-01
Genre:
ISBN: 9781423508854

Download Aerosol Optical Depth Analysis with NOAA Goes and Poes in the Western Atlantic Book in PDF, ePub and Kindle

An aerosol optical depth retrieval algorithm in the visible wavelengths for the NOAA POES AVHRR and GOES-8 visible imager is presented for the cloud free, marine atmosphere. The algorithm combines linearized single- scatter theory with an estimate of surface reflectance. Phase functions are parameterized using an aerosol size distribution model and the ratio of radiance values measured in channels 1 and 2 of the AVHRR. Retrieved satellite aerosol optical depth (AOD) is compared to three land-based sun photometer stations located on islands in the western Atlantic during July and September, 2001. GOES-8 channel 1 (visible wavelength) radiance values were initially calibrated using techniques developed by Rao. Additional connections to the channel 1 GOES- 8 radiances were made by applying a linear offset factor obtained during the experimental time period through comparison with AVHRR radiances. The results for the GOES -derived AOD compare favorably to the AERONET-measured AOD values. For both NOAA and GOES data, the comparison dataset has a correlation coefficient of 0.67 with a standard error of 0.07. For higher AOD cases (d = 0. 25), the general trend was for the satellite-derived AOD values to underestimate AERONET-observed conditions. During these higher conditions, the scattering phase function pattern contained within the algorithm deviated from the expected pattern, especially between 1400 1800. Overall, the more accurate calculations of AOD occurred over scatter angles between 140 deg - 150 deg and 170 deg - 180 deg.