Topographic Correction of Optical Remote Sensing Images in Mountainous Areas

被引:5
|
作者
Chen, Rui [1 ]
Yin, Gaofei [1 ,2 ,3 ]
Zhao, Wei [4 ]
Yan, Kai [5 ,6 ,7 ]
Wu, Shengbiao [8 ]
Hao, Dalei [9 ]
Liu, Guoxiang [10 ,11 ]
机构
[1] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Peoples R China
[2] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China
[3] Ctr Ecol Res & Forestry Applicat, Global Ecol Unit, Barcelona, Spain
[4] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
[5] Boston Univ, Dept Earth & Environm, Boston, MA USA
[6] China Univ Geosci, Sch Land Sci & Tech, Beijing, Peoples R China
[7] Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
[8] Univ Hong Kong, Fac Architecture, Hong Kong 999077, Peoples R China
[9] Pacific Northwest Natl Lab, Richland, WA 99352 USA
[10] Southwest Jiaotong Univ, Dept Remote Sensing & Geospatial Informat Engn, Chengdu 610031, Peoples R China
[11] Univ Texas Austin, Dr SM Buckley Dept Aerosp Engn & Engn Mech, Austin, TX USA
基金
中国国家自然科学基金;
关键词
Remote sensing; Surface topography; Systematics; Reflectivity; Land surface; Earth; Bibliometrics; LANDSAT TM IMAGES; LEAF-AREA; RUGGED TERRAIN; INDEX; FOREST; MODEL; MODIS; BRDF; CLASSIFICATION; NORMALIZATION;
D O I
10.1109/MGRS.2023.3311100
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
Rugged terrain distorts optical remote sensing observations and subsequently impacts land cover classification and biophysical and biochemical parameter retrieval over mountainous areas. Therefore, topographic correction (TC) is a prerequisite for many remote sensing applications. Although various TC methods have been explored over the past four decades to mitigate topographic effects, a systematic and global review of these studies is still lacking. Using a multicomponent bibliometric approach, we extracted bibliometric metadata from 426 publications identified by searching titles, keywords, and abstracts for research on "topographic correction" and "topographic effects" in Scopus and Web of Science (WoS) from 1980 to 2022. This systematic review revealed a rapid growth in the number of TC studies since the 1980s, primarily driven by the availability of decametric-resolution remote sensing observations and digital elevation models (DEMs). Most of the research has focused on relatively low-elevation regions, with increasing attention beyond American and European regions, particularly in China. The seasonal distribution of satellite acquisition for TC showed considerable imbalance, mainly concentrated in months with favorable solar illumination conditions (e.g., May to October). Important themes emerged from the keyword analysis, including satellite sensors, DEMs, TC methods, evaluation criteria, and applications.
引用
收藏
页码:125 / 145
页数:21
相关论文
共 50 条
  • [1] Uncertainty Analysis for Topographic Correction of Hyperspectral Remote Sensing Images
    Ma, Zhaoning
    Jia, Guorui
    Schaepman, Michael E.
    Zhao, Huijie
    REMOTE SENSING, 2020, 12 (04)
  • [2] Topographic Correction Method for High Spatial Resolution Remote Sensing Data in Mountainous Area
    Liu X.
    Lv X.
    Wu C.
    Liu H.
    Huang H.
    Li J.
    Li M.
    Mao C.
    Zhou W.
    Lv, Xinbiao (Lvxb_01@163.com), 1600, China University of Geosciences (45): : 645 - 662
  • [3] Advances in topographic correction methods for optical remote sensing imageries
    Lin X.
    Wen J.
    Wu S.
    Hao D.
    Xiao Q.
    Liu Q.
    Yaogan Xuebao/Journal of Remote Sensing, 2020, 24 (08): : 958 - 974
  • [4] A correction technique for false topographic perception of remote-sensing images based on an inverse topographic correction technique
    Zhang, Donghai
    Zhu, Wenquan
    Chen, Xiang
    Zheng, Zhoutao
    Zhou, Xiafei
    Jiang, Tao
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2016, 9 (10) : 1021 - 1034
  • [5] Correction of the topographic effect in remote sensing
    Dymond, JR
    Shepherd, JD
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (05): : 2618 - 2620
  • [6] TOPOGRAPHIC CORRECTION USING BRIGHTNESS NORMALIZATION APPROACH FROM HYPERSPECTRAL REMOTE SENSING IMAGES
    Pal, M. K.
    Porwal, A.
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 5658 - 5661
  • [7] Research on rain slope stability and digital village construction in mountainous areas based on remote sensing images
    Cheng F.
    Zhang J.
    Arabian Journal of Geosciences, 2021, 14 (18)
  • [8] Topographic Correction of ZY-3 Satellite Images and Its Effects on Estimation of Shrub Leaf Biomass in Mountainous Areas
    Gao, Ming-Liang
    Zhao, Wen-Ji
    Gong, Zhao-Ning
    Gong, Hui-Li
    Chen, Zheng
    Tang, Xin-Ming
    REMOTE SENSING, 2014, 6 (04) : 2745 - 2764
  • [9] Correction of surface roughness and topographic effects on airborne SAR in mountainous rangeland areas
    Goyal, SK
    Seyfried, MS
    O'Neill, PE
    REMOTE SENSING OF ENVIRONMENT, 1999, 67 (02) : 124 - 136
  • [10] Integration of Optical Remote Sensing and Laser Point Cloud for Forest Stock Estimation in Karst Mountainous Areas
    Zheng, Jiajia
    Zhou, Zhongfa
    Zhu, Meng
    Wang, Jiale
    Wan, Jiaxue
    Long, Yangyang
    FORESTS, 2024, 15 (12):