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
  • [21] Retraction Note: Research on rain slope stability and digital village construction in mountainous areas based on remote sensing images
    Fengju Cheng
    Jingzhao Zhang
    Arabian Journal of Geosciences, 2021, 14 (24)
  • [22] An Uneven Illumination Correction Algorithm for Optical Remote Sensing Images Covered with Thin Clouds
    Shen, Xiaole
    Li, Qingquan
    Tian, Yingjie
    Shen, Linlin
    REMOTE SENSING, 2015, 7 (09): : 11848 - 11862
  • [23] Topographic Effects on Optical Remote Sensing: Simulations by PLC Model
    Chen, Rui
    Yin, Gaofei
    Xu, Baodong
    Liu, Guoxiang
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 16 : 9977 - 9988
  • [24] Extraction of remote sensing and geochemical prospecting information in high and cold mountainous areas
    Yang, Zi-An
    Peng, Sheng-Lin
    Liu, Wu-Hui
    Shi, Fei-Fei
    He, Zhi-Jun
    Zou, Lin
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2009, 40 (04): : 1121 - 1126
  • [25] Remote sensing for environmental protection of the eastern Mediterranean rugged mountainous areas, Lebanon
    Khawlie, M
    Awad, M
    Shaban, A
    Kheir, RB
    Abdallah, C
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2002, 57 (1-2) : 13 - 23
  • [26] Modelling Distributions of Rove Beetles in Mountainous Areas Using Remote Sensing Data
    Dittrich, Andreas
    Roilo, Stephanie
    Sonnenschein, Ruth
    Cerrato, Cristiana
    Ewald, Michael
    Viterbi, Ramona
    Cord, Anna E.
    REMOTE SENSING, 2020, 12 (01)
  • [27] Classification of natural areas in Northern Finland using optical remote sensing images and data fusion
    Torma, Markus
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 3078 - 3081
  • [28] Registration and correction techniques in Cubesat remote sensing images
    Lazreg, Nissen
    Bouchiha, Rochdi
    Besbes, Kamel
    2017 INTERNATIONAL CONFERENCE ON ENGINEERING & MIS (ICEMIS), 2017,
  • [29] Striping Noise Detection and Correction of Remote Sensing Images
    Tsai, Fuan
    Chen, Walter W.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (12): : 4122 - 4131
  • [30] LOCAL SCALE MEASURE FROM THE TOPOGRAPHIC MAP AND APPLICATION TO REMOTE SENSING IMAGES
    Luo, Bin
    Aujol, Jean-Francois
    Gousseau, Yann
    MULTISCALE MODELING & SIMULATION, 2009, 8 (01): : 1 - 29