Remote Sensing Applications in Monitoring of Protected Areas: A Bibliometric Analysis

被引:49
作者
Duan, Peili [1 ]
Wang, Yeqiao [2 ]
Yin, Peng [1 ,3 ]
机构
[1] Ludong Univ, Sch Business, Yantai 264025, Peoples R China
[2] Univ Rhode Isl, Dept Nat Resources Sci, Kingston, RI 02881 USA
[3] Ocean Univ China, Inst Marine Dev, Qingdao 266100, Peoples R China
基金
中国博士后科学基金;
关键词
remote sensing; protected areas; bibliometric analysis; VOSviewer; GLOBAL RESEARCH TRENDS; LAND-COVER CHANGE; INFORMATION-SYSTEM; NATIONAL-PARKS; AMAZON BASIN; FOREST; SAR; PERFORMANCE; VEGETATION; DYNAMICS;
D O I
10.3390/rs12050772
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The development of remote sensing platforms and sensors and improvement in science and technology provide crucial support for the monitoring and management of protected areas. This paper presents an analysis of research publications, from a bibliometric perspective, on the remote sensing of protected areas. This analysis is focused on the period from 1991 to 2018. For data, a total of 4546 academic publications were retrieved from the Web of Science database. The VOSviewer software was adopted to evaluate the co-authorships among countries and institutions, as well as the co-occurrences of author keywords. The results indicate an increasing trend of annual publications in the remote sensing of protected areas. This analysis reveals the major topical subjects, leading countries, and most influential institutions around the world that have conducted relevant research in scientific publications; this study also reveals the journals that include the most publications, and the collaborative patterns related to the remote sensing of protected areas. Landsat, MODIS, and LiDAR are among the most commonly used satellites and sensors. Research topics related to protected area monitoring are mainly concentrated on change detection, biodiversity conservation, and climate change impact. This analysis can help researchers and scholars better understand the intellectual structure of the field and identify the future research directions.
引用
收藏
页数:18
相关论文
共 80 条
[1]   Simulating Forest Cover Changes of Bannerghatta National Park Based on a CA-Markov Model: A Remote Sensing Approach [J].
Adhikari, Sanchayeeta ;
Southworth, Jane .
REMOTE SENSING, 2012, 4 (10) :3215-3243
[2]  
[Anonymous], 2018, UNEP-WCMC
[3]  
[Anonymous], 2008, Int. Arch. Photogrammetry, Remote Sens. Spatial Inf. Sci.
[4]   The fragmentation of space in the Amazon basin: Emergent road networks [J].
Arima, Eugenio Y. ;
Walker, Robert T. ;
Sales, Marcio ;
Souza, Carlos, Jr. ;
Perz, Stephen G. .
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2008, 74 (06) :699-709
[5]   Estimating forest biomass using satellite radar:: an exploratory study in a temperate Australian Eucalyptus forest [J].
Austin, JM ;
Mackey, BG ;
Van Niel, KP .
FOREST ECOLOGY AND MANAGEMENT, 2003, 176 (1-3) :575-583
[6]  
Ayebare S., 2012, REMOTE SENSING PROTE, P183
[7]   Changing regimes: Forested land cover dynamics in Central Siberia 1974 to 2001 [J].
Bergen, K. M. ;
Zhao, T. ;
Kharuk, V. ;
Blam, Y. ;
Brown, D. G. ;
Peterson, L. K. ;
Miller, N. .
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2008, 74 (06) :787-798
[8]   Forty years of coastal zone management (1975-2014): Evolving theory, policy and practice as reflected in scientific research publications [J].
Birch, Traci ;
Reyes, Enrique .
OCEAN & COASTAL MANAGEMENT, 2018, 153 :1-11
[9]   Effectiveness of parks in protecting tropical biodiversity [J].
Bruner, AG ;
Gullison, RE ;
Rice, RE ;
da Fonseca, GAB .
SCIENCE, 2001, 291 (5501) :125-128
[10]   High Spatial Resolution Remote Sensing for Salt Marsh Mapping and Change Analysis at Fire Island National Seashore [J].
Campbell, Anthony ;
Wang, Yeqiao .
REMOTE SENSING, 2019, 11 (09)