An Improved Physics-Based Model for Topographic Correction of Landsat TM Images

被引:35
|
作者
Li, Ainong [1 ]
Wang, Qingfang [1 ,2 ]
Bian, Jinhu [1 ,2 ]
Lei, Guangbin [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源
REMOTE SENSING | 2015年 / 7卷 / 05期
关键词
ATMOSPHERIC CORRECTION; REFLECTANCE PRODUCTS; SATELLITE IMAGERY; BRDF CORRECTION; SURFACE BRDF; SLOPE ASPECT; EOS-MODIS; ALBEDO; CLASSIFICATION; NORMALIZATION;
D O I
10.3390/rs70506296
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Optical remotely sensed images in mountainous areas are subject to radiometric distortions induced by topographic effects, which need to be corrected before quantitative applications. Based on Li model and Sandmeier model, this paper proposed an improved physics-based model for the topographic correction of Landsat Thematic Mapper (TM) images. The model employed Normalized Difference Vegetation Index (NDVI) thresholds to approximately divide land targets into eleven groups, due to NDVI's lower sensitivity to topography and its significant role in indicating land cover type. Within each group of terrestrial targets, corresponding MODIS BRDF (Bidirectional Reflectance Distribution Function) products were used to account for land surface's BRDF effect, and topographic effects are corrected without Lambertian assumption. The methodology was tested with two TM scenes of severely rugged mountain areas acquired under different sun elevation angles. Results demonstrated that reflectance of sun-averted slopes was evidently enhanced, and the overall quality of images was improved with topographic effect being effectively suppressed. Correlation coefficients between Near Infra-Red band reflectance and illumination condition reduced almost to zero, and coefficients of variance also showed some reduction. By comparison with the other two physics-based models (Sandmeier model and Li model), the proposed model showed favorable results on two tested Landsat scenes. With the almost half-century accumulation of Landsat data and the successive launch and operation of Landsat 8, the improved model in this paper can be potentially helpful for the topographic correction of Landsat and Landsat-like data.
引用
收藏
页码:6296 / 6319
页数:24
相关论文
共 50 条
  • [1] Improved Topographic Normalization for Landsat TM Images by Introducing the MODIS Surface BRDF
    Zhang, Yanli
    Li, Xin
    Wen, Jianguang
    Liu, Qinhuo
    Yan, Guangjian
    REMOTE SENSING, 2015, 7 (06): : 6558 - 6575
  • [2] Topographic Normalization of Landsat TM Images in Rugged Terrain
    Zhang, Yanli
    Bai, Yulong
    Li, Chuanhua
    2014 7TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP 2014), 2014, : 580 - 585
  • [3] Use of topographic correction in Landsat TM-based forest interpretation in Nepal
    Tokola, T
    Sarkeala, J
    Van der Linden, M
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2001, 22 (04) : 551 - 563
  • [4] Landsat TM-based forest damage assessment: Correction for topographic effects
    Ekstrand, S
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1996, 62 (02): : 151 - 161
  • [5] A physics-based atmospheric and BRDF correction for Landsat data over mountainous terrain
    Li, Fuqin
    Jupp, David L. B.
    Thankappan, Medhavy
    Lymburner, Leo
    Mueller, Norman
    Lewis, Adam
    Held, Alex
    REMOTE SENSING OF ENVIRONMENT, 2012, 124 : 756 - 770
  • [6] The role of topographic correction in mapping recently burned Mediterranean forest areas from LANDSAT TM images
    Gitas, IZ
    Devereux, BJ
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (01) : 41 - 54
  • [7] Evaluation and Intercomparison of Topographic Correction Methods Based on Landsat Images and Simulated Data
    Ma, Yichuan
    He, Tao
    Li, Ainong
    Li, Sike
    REMOTE SENSING, 2021, 13 (20)
  • [8] An improved topographic correction model based on Minnaert
    Gao, Mingliang
    Gong, Huili
    Zhao, Wenji
    Chen, Beibei
    Chen, Zheng
    Shi, Min
    GISCIENCE & REMOTE SENSING, 2016, 53 (02) : 247 - 264
  • [9] Optimization of geometric correction of Landsat TM images using digital elevation model
    Iikura, Y
    IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 2474 - 2476
  • [10] Physics-Based Satellite-Derived Bathymetry (SDB) Using Landsat OLI Images
    Kim, Minsu
    Danielson, Jeff
    Storlazzi, Curt
    Park, Seonkyung
    REMOTE SENSING, 2024, 16 (05)