YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Earth Interactions
    • View Item
    •   YE&T Library
    • AMS
    • Earth Interactions
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Why Is Remote Sensing of Amazon Forest Greenness So Challenging?

    Source: Earth Interactions:;2012:;volume( 016 ):;issue: 007::page 1
    Author:
    Samanta, Arindam
    ,
    Ganguly, Sangram
    ,
    Vermote, Eric
    ,
    Nemani, Ramakrishna R.
    ,
    Myneni, Ranga B.
    DOI: 10.1175/2012EI440.1
    Publisher: American Meteorological Society
    Abstract: he prevalence of clouds and aerosols and their impact on satellite-measured greenness levels of forests in southern and central Amazonia are explored in this article using 10 years of NASA Moderate Resolution Imaging Spectroradiometer (MODIS) greenness data: normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). During the wet season (October?March), cloud contamination of greenness data is pervasive; nearly the entire region lacks uncorrupted observations. Even in the dry season (July?September), nearly 60%?66% of greenness data are corrupted, mainly because of biomass burning aerosol contamination. Under these conditions, spectrally varying residual atmospheric effects in surface reflectance data introduce artifacts into greenness indices; NDVI is known to artificially decrease, whereas EVI, given its formulation and use of blue channel surface reflectance data, shows artificial enhancement, which manifests as large patches of enhanced greenness. These issues render remote sensing of Amazon forest greenness a challenging task.
    • Download: (3.346Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Why Is Remote Sensing of Amazon Forest Greenness So Challenging?

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4214226
    Collections
    • Earth Interactions

    Show full item record

    contributor authorSamanta, Arindam
    contributor authorGanguly, Sangram
    contributor authorVermote, Eric
    contributor authorNemani, Ramakrishna R.
    contributor authorMyneni, Ranga B.
    date accessioned2017-06-09T16:41:18Z
    date available2017-06-09T16:41:18Z
    date copyright2012/06/01
    date issued2012
    identifier otherams-72244.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4214226
    description abstracthe prevalence of clouds and aerosols and their impact on satellite-measured greenness levels of forests in southern and central Amazonia are explored in this article using 10 years of NASA Moderate Resolution Imaging Spectroradiometer (MODIS) greenness data: normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). During the wet season (October?March), cloud contamination of greenness data is pervasive; nearly the entire region lacks uncorrupted observations. Even in the dry season (July?September), nearly 60%?66% of greenness data are corrupted, mainly because of biomass burning aerosol contamination. Under these conditions, spectrally varying residual atmospheric effects in surface reflectance data introduce artifacts into greenness indices; NDVI is known to artificially decrease, whereas EVI, given its formulation and use of blue channel surface reflectance data, shows artificial enhancement, which manifests as large patches of enhanced greenness. These issues render remote sensing of Amazon forest greenness a challenging task.
    publisherAmerican Meteorological Society
    titleWhy Is Remote Sensing of Amazon Forest Greenness So Challenging?
    typeJournal Paper
    journal volume16
    journal issue7
    journal titleEarth Interactions
    identifier doi10.1175/2012EI440.1
    journal fristpage1
    journal lastpage14
    treeEarth Interactions:;2012:;volume( 016 ):;issue: 007
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian