Burned-Area Mapping at the Subpixel Scale With MODIS Images

被引:26
|
作者
Ling, Feng [1 ]
Du, Yun [1 ]
Zhang, Yihang [1 ]
Li, Xiaodong [1 ]
Xiao, Fei [1 ]
机构
[1] Chinese Acad Sci, Inst Geodesy & Geophys, Wuhan 430077, Peoples R China
关键词
Burned area; mixed pixel; Moderate Resolution Imaging Spectroradiometer (MODIS); subpixel mapping (SPM); SUPERRESOLUTION; ALGORITHM;
D O I
10.1109/LGRS.2015.2441135
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The Moderate Resolution Imaging Spectroradiometer (MODIS) is an important data set in global burned-area mapping. The MODIS global burned-area product has a coarse spatial resolution at approximately 500 m, which often introduces errors to the mapped burned areas. In this letter, a novel subpixel mapping (SPM) approach was proposed to produce burned-area maps at the fine spatial resolution similar to Landsat imagery, by exploring the spectral and spatial information provided by the second and fifth bands of MODIS. The proposed SPM approach aims to refine the estimate of burned areas, which have been detected by the MODIS global burned-area product. The performance of the proposed SPM approach was assessed with an experiment area containing six burned areas, by comparing with the MODIS burned-area product MCD45. The result shows that the average omission error decreased from 52.26% for MCD45 to 16.74% for SPM, and the average commission error decreased from 21.76% for MCD45 to 12.54% for SPM. The kappa value increased from 0.5583 for MCD45 to 0.8756 for SPM, indicating that the proposed SPM approach is effective in reducing the influence of the coarse spatial resolution of MODIS imagery in mapping a burned area and refining existing global burned-area products.
引用
收藏
页码:1963 / 1967
页数:5
相关论文
共 50 条
  • [1] Development of a Novel Burned-Area Subpixel Mapping (BASM) Workflow for Fire Scar Detection at Subpixel Level
    Xu, Haizhou
    Zhang, Gui
    Zhou, Zhaoming
    Zhou, Xiaobing
    Zhang, Jia
    Zhou, Cui
    [J]. REMOTE SENSING, 2022, 14 (15)
  • [2] Burned-area mapping of the Serengeti-Mara region using MODIS reflectance data
    Dempewolf, J.
    Trigg, S.
    DeFries, R. S.
    Eby, S.
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2007, 4 (02) : 312 - 316
  • [3] Burned-Area Mapping Using Post-Fire PlanetScope Images and a Convolutional Neural Network
    Kim, Byeongcheol
    Lee, Kyungil
    Park, Seonyoung
    [J]. REMOTE SENSING, 2024, 16 (14)
  • [4] VALIDATION OF THE MODIS BURNED-AREA PRODUCTS ACROSS DIFFERENT BIOMES IN SOUTH AFRICA
    Tsela, P. L.
    van Helden, P.
    Frost, P.
    Wessels, K.
    Archibald, S.
    [J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 3652 - 3655
  • [5] Prototyping an artificial neural network for burned area mapping on a regional scale in Mediterranean areas using MODIS images
    Gomez, Israel
    Pilar Martin, M.
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2011, 13 (05): : 741 - 752
  • [6] Accuracy and spatiotemporal distribution of fire in the Brazilian biomes from the MODIS burned-area products
    Santana, Nickolas Castro
    de Carvalho Junior, Osmar Abilio
    Trancoso Gomes, Roberto Arnaldo
    Guimares, Renato Fontes
    [J]. INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2020, 29 (10) : 907 - 918
  • [7] Southern Africa Validation of the MODIS, L3JRC, and GlobCarbon Burned-Area Products
    Roy, David P.
    Boschetti, Luigi
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (04): : 1032 - 1044
  • [8] Burned-Area Detection in Amazonian Environments Using Standardized Time Series Per Pixel in MODIS Data
    Santana, Nickolas Castro
    de Carvalho Junior, Osmar Abilio
    Trancoso Gomes, Roberto Arnaldo
    Guimaraes, Renato Fontes
    [J]. REMOTE SENSING, 2018, 10 (12)
  • [9] The Collection 6 MODIS burned area mapping algorithm and product
    Giglio, Louis
    Boschetti, Luigi
    Roy, David P.
    Humber, Michael L.
    Justice, Christopher O.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2018, 217 : 72 - 85
  • [10] Analysis and Interpretation of Spectral Indices for Soft Multicriteria Burned-Area Mapping in Mediterranean Regions
    Stroppiana, D.
    Boschetti, M.
    Zaffaroni, P.
    Brivio, P. A.
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2009, 6 (03) : 499 - 503