Topographic Correction of Optical Remote Sensing Images in Mountainous Areas

被引:16
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]   Methods for Small, Weak Object Detection in Optical High-Resolution Remote Sensing Images: A survey of advances and challenges [J].
Han, Wei ;
Chen, Jia ;
Wang, Lizhe ;
Feng, Ruyi ;
Li, Fengpeng ;
Wu, Lin ;
Tian, Tian ;
Yan, Jining .
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2021, 9 (04) :8-34
[22]   Regional scale terrace mapping in fragmented mountainous areas using multi-source remote sensing data and sample purification strategy [J].
Liu, Zicheng ;
Chen, Guokun ;
Tang, B. Bohui ;
Wen, Qingke ;
Tan, Rui ;
Huang, Yan .
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 925
[23]   Performance of atmospheric and topographic correction methods on Landsat imagery in mountain areas [J].
Vanonckelen, Steven ;
Lhermitte, Stef ;
Balthazar, Vincent ;
Van Rompaey, Anton .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (13) :4952-4972
[24]   An Evolutionary Shadow Correction Network and a Benchmark UAV Dataset for Remote Sensing Images [J].
Luo, Shuang ;
Li, Huifang ;
Li, Yiqiu ;
Shao, Chenglin ;
Shen, Huanfeng ;
Zhang, Liangpei .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
[25]   A NeRF-Based Color Consistency Correction Method for Remote Sensing Images [J].
Zuo, Zongcheng ;
Li, Yuanxiang ;
Zhang, Tongtong ;
Mo, Fan .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 :6805-6817
[26]   LOCAL SCALE MEASURE FROM THE TOPOGRAPHIC MAP AND APPLICATION TO REMOTE SENSING IMAGES [J].
Luo, Bin ;
Aujol, Jean-Francois ;
Gousseau, Yann .
MULTISCALE MODELING & SIMULATION, 2009, 8 (01) :1-29
[27]   A LAND COVER ADAPTIVE TOPOGRAPHIC CORRECTION AND EVALUATION METHOD FOR REMOTE SENSING DATA [J].
Li, Huifang ;
Xu, Liming ;
Zhang, Zhenwei ;
Shen, Huanfeng ;
Li, Wei ;
Cao, Liqin .
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, :3850-3853
[28]   Modeling Forest Stand Parameters Using Remote Sensing Images and topographic information [J].
Xie, Shiqin ;
Wang, Wei ;
Wang, Zemin ;
Huang, Guosheng .
PROCEEDINGS OF 2020 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA AND IMAGE PROCESSING (ICMIP 2020), 2020, :109-114
[29]   Evaluation and parameterization of ATCOR3 topographic correction method for forest cover mapping in mountain areas [J].
Balthazar, Vincent ;
Vanacker, Veerle ;
Lambin, Eric F. .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2012, 18 :436-450
[30]   Impact of Topographic Correction on PRISMA Sentinel 2 and Landsat 8 Images [J].
Santini, Federico ;
Palombo, Angelo .
REMOTE SENSING, 2022, 14 (16)