3 edition of [Global monitoring of atmospheric properties by the EOS MODIS found in the catalog.
[Global monitoring of atmospheric properties by the EOS MODIS
King, Michael D.
by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC?, Springfield, Va
Written in English
|Statement||Michael D. King.|
|Series||[NASA technical memorandum] -- NASA-TM-109237., NASA technical memorandum -- 109237.|
|Contributions||United States. National Aeronautics and Space Administration.|
|The Physical Object|
Global MODIS Fires Tool Decem Daily MODIS active fire detections from the MOD14/MYD14 product are made available within Google Earth. The fire icons will show important information about each fire when clicked; the whole dataset in plain text daily files is made available here. MODIS operational atmospheric correction algorithm, reported here, uses aerosol and water vapor information derived from the MODIS data, corrects for adjacency effects and takes into account the directional properties of the observed surface. This paper also describes the operational implementation of these techniques and its optimization. The.
lower atmosphere. More MODIS bands could be used for the retrieval purpose at night. In the,or'y, it is possible to retrieve atmospheric and land-surface parameters with a pair of daytime and nighttime MODIS data sets without any empirical knowledge of the surface emissivity if we can assume that there is no diurnal variation in the surface. The Moderate Resolution Imaging Spectroradiometer, or MODIS, sensor resides aboard the Terra and Aqua platforms, offering a view the Earth's surface every days. The MODIS sensor collects data within 36 spectral bands, ranging in wavelengths from µm to µm and provides us with imagery at a nominal resolution of m at nadir for.
High resolution aerosol data from MODIS satellite for urban air quality studies 1. Introduction The adverse health eﬀects from particulate matter (PM) pollution with aerodynamic diameter μm (PM ) must be considered in developing policies to improve air quality . Substantial epidemiologic literature has. MODIS Atmosphere Daily (08_D3) product files are stored in Hierarchical Data Format (HDF). HDF is a multi-object file format for sharing scientific data in multi-platform distributed environments. HDF files should only be accessed through HDF library subroutine and function calls, which can be downloaded from the HDF web site.
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MODIS data will also be used to monitor burn scars, vegetation type and condition, smoke aerosols, water vapor, and clouds for overall monitoring of the fire process and its effects on ecosystems, the atmosphere, and the by: Get this from a library.
[Global monitoring of atmospheric properties by the EOS MODIS: semi-annual technical report January - June [Michael D King; United. The MODIS on the Terra and Aqua Earth Observing System (EOS) platforms is designed for studies of atmosphere, land, and ocean [22, 23].
MODIS with 36 spectral bands ( µm) provides the. Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: Background, operational algorithm and validation July DOI: [Global monitoring of atmospheric properties by the EOS MODIS book The exchange of various trace species and energy at the earth's surface plays an important role in climate, ecology, and human health and welfare.
Surface exchange measurements can be difficult to obtain yet are important to understand physical processes, assess environmental and global change. Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS) D.
Chu,1,2 Y. Kaufman,2 G. Zibordi,3 J. Chern,4 Jietai Mao,5 Chengcai Li,5 and B. Holben6 Received 16 November ; revised 7 June ; accepted 24 June ; published 5 November algorithm, namely, the atmospheric point spread function cor-rection and an atmosphere BRDF coupling correction.
One critical aspect of MODIS algorithm development is the need to optimize the algorithm for efficient global processing. In the sections that follow, the practical aspects of global data pro-cessing for the algorithm are described. (6) Cloud top properties and atmospheric profiles MODIS production software are heavily based on heritage code; which doesn’t conform to EOS production software standards.
As a result, a considerable effort was made to update the code to meet EOS and MODIS software standards. The MODIS operational atmospheric correction algorithm, reported here, uses aerosol and water vapor information derived from the MODIS data, corrects for adjacency effects and takes into account the directional properties of the observed surface.
This paper also describes the operational implementation of these techniques and its optimization.  Moderate Resolution Imaging Spectroradiometer (MODIS) measurements (7 channels: – μm, – m resolutions) provide us with new insights into the characteristics of global aerosols.
MODIS retrieves not only aerosol loading but also the fraction of fine mode particle. In this paper we demonstrate MODIS capability for use in monitoring global, regional, and local air by: The Level-3 (L3) MODIS Atmosphere Monthly Global Products, MOD08_M3 and MYD08_M3, contain monthly 1x1 degree grid values of atmospheric parameters related to aerosol particle properties, cloud optical and physical properties, atmospheric water vapor, atmospheric profile and stability indices, and total ozone burden.
INVESTIGATION OF CLOUD PROPERTIES AND ATMOSPHERIC PROFILES WITH MODIS SEMI-ANNUAL REPORT FOR JULY – DECEMBER Paul Menzel, Steve Ackerman, Chris Moeller, Liam Gumley, Richard Frey, Jun Li, Bryan Baum, Jeff Key, Suzanne Seemann, Tom Rink, Kathy Strabala, Hong Zhang, and Dan LaPorte.
CIMSS at the University of Wisconsin-Madison Contract. The Mekong River is the 12th longest river in the world, has the 8th largest discharge, and contains the most biodiverse ecosystems of any other river system, with the exception of the Amazon ().The Southwest Monsoon heavily influences regional climate, resulting in a rain and flood pulse in the Mekong River and its tributaries occurring annually from roughly May to October (MRC, a, MRC Cited by: According to the MODIS band specifications in Table I and the atmospheric transmission in Fig.
1, ba 22, and 23 are in the transparent atmospheric window in the gm medium wavelength range, bands are in the gm atmospheric window range, while band 33 is just on the edge of this atmospheric window. Band. The Moderate Resolution Imaging Spectroradiometer (MODIS) being developed for the Earth Observing System (EOS) is well suited to the global monitoring of atmospheric properties from space.
Among the atmospheric properties to be examined using MODIS observations, clouds are especially important, since they are a strong modulator of the shortwave. ELSEVIER A Comparison of Vegetation Indices over a Global Set of TM Images for EOS-MODIS A. Huete,* H. Liu,K. Batchily, and W.
van Leeuwen A set of Landsat Thematic Mapper images representing a wide range of vegetation conditions from the NASA Lands'at Pathfinder, global land cover test site (GLCTS) initiative were proces'sed to simulate the Moderate Reso- lation Imaging Cited by: Ground-based measurements of aerosol properties provide a basis for validation of atmospheric correction procedures and can be used for validation of aerosol models used in atmospheric correction algorithms.
This chapter describes in details about the widely used ground- and satellite-based remote sensing instruments for aerosol : Sunita Verma, Divya Prakash, Manish Soni, Kirpa Ram.
Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer. spatial distributions of aerosol optical and cloud micro-macrophysics properties in Africa based on MODIS observations, Atmospheric Analysis and evaluation of the global aerosol optical properties.
Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS - Ebook written by Bhaskar Ramachandran, Christopher O.
Justice, Michael J. Abrams. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Land Remote. Validation of global moderate resolution LAI Products: a framework proposed within the CEOS Land Product Validation subgroup.
IEEE Trans. Geosci. Remote Sens. Zhang et al., Monitoring of the U.S. Corn-belt Yield using Satellite Data, Eos, Vol. 87, No. Potter et al., Satellite data help predict terrestrial. This is Volume 2 in a planned three-part series known as the Earth Observing System (EOS) Data Products Handbook (DPH).
Each of the three volumes in the series will contain product descrip-tions for the science data products that are, or will be, available as standard products from sensors on existing and planned EOS satellites.
The Challenges of Global Flood Hazard Mapping and Prediction. A new book presents the latest tools in remote sensing technologies and modeling approaches for. Vermote EF et al () Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: background, operational algorithm, and validation.
J Geophys Res –17 CrossRef Google ScholarCited by: 4.