Remote Sensing Application in Mountainous Environments: A Bibliographic Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Bibliographic Database
2.2. R Statistical Application
3. Results
3.1. Publication Time Series Analysis
3.2. Affiliations, Collaborations, Country Scientific Production, and Top-Cited Articles
3.3. Remote Sensing Data Used in the Top 20 Articles Cited
3.4. Word Cloud, Co-Occurrence Network, and Thematic Evolution
4. Discussion
4.1. Bibliographic Analysis
4.2. Associations and Production
4.3. Cloud of Words, Co-Occurrence Associations, and Thematic Progress
4.4. Importance of the Study
4.5. Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Rank | Journal Name | Country | Number |
---|---|---|---|
1 | Remote Sensing | Switzerland | 415 |
2 | Remote Sensing of Environment | USA | 222 |
3 | International Journal of Remote Sensing | UK | 181 |
4 | Journal of Mountain Science | China | 154 |
5 | IEEE Transactions on Geoscience and Remote Sensing | USA | 66 |
6 | Geomorphology | Netherlands | 58 |
7 | Journal of Glaciology | UK | 50 |
8 | Mountain Research and Development | Switzerland | 50 |
9 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | USA | 46 |
10 | Arabian Journal of Geosciences | Germany | 43 |
11 | ISPRS Journal of Photogrammetry and Remote Sensing | Netherlands | 40 |
12 | International Journal of Applied Earth Observation and Geoinformation | Netherlands | 39 |
13 | Canadian Journal of Remote Sensing | UK | 38 |
14 | Forest Ecology and Management | Netherlands | 37 |
15 | Cryosphere | Germany | 34 |
16 | Environmental Earth Sciences | Germany | 34 |
17 | Hydrological Processes | UK | 33 |
18 | Forests | Switzerland | 32 |
19 | Journal of Geophysical Research Atmospheres | USA | 32 |
20 | Journal of the Indian Society of Remote Sensing | India | 31 |
Rank | Affiliations | Country | Articles |
---|---|---|---|
1 | University of Chinese Academy of Sciences | China | 217 |
2 | Beijing Normal University | China | 209 |
3 | The Institute of Mountain Hazards and Environment | China | 183 |
4 | Institute of Remote Sensing and Digital Earth | China | 175 |
5 | Chinese Academy of Sciences | China | 136 |
6 | University of Colorado Boulder | USA | 120 |
7 | Institute of Geographic Sciences and Natural Resources | China | 109 |
8 | Jet Propulsion Laboratory | USA | 94 |
9 | Northwest Institute of Eco-Environment and Resources | China | 91 |
10 | University of Maryland | USA | 90 |
11 | University of Idaho | USA | 89 |
12 | United States Forest Service | USA | 88 |
13 | University of Zurich | Switzerland | 86 |
14 | Colorado State University | USA | 84 |
15 | The University of Arizona | USA | 84 |
16 | The University of Oklahoma | USA | 83 |
17 | SETI Institute | USA | 76 |
18 | University of Marburg | Germany | 76 |
19 | Institute of Tibetan Plateau Research | China | 75 |
20 | Lanzhou University | China | 73 |
Rank | First Author’s Name and Year | Title | Source | TC | TCpY |
---|---|---|---|---|---|
1 | Pfeffer et al. [50] | The Randolph Glacier Inventory: A Globally Complete Inventory of Glaciers | Journal of Glaciology | 587 | 65.2 |
2 | Guo et al. [51] | The Second Chinese Glacier Inventory Data Methods and Results | Journal of Glaciology | ||
3 | Gong et al. [52] | Stable Classification with Limited Sample Transferring a 30 m Resolution Sample Set Collected in 2015 to Mapping 10 m Resolution Global Land Cover in 2017 | Science Bulletin | 295 | 73.8 |
4 | Su et al. [53] | Characterizing Landscape Pattern and Ecosystem Service Value Changes for Urbanization Impacts at an Ecoregional Scale | Applied Geography | 243 | 22.1 |
5 | Zhu et al. [54] | A Flexible Spatiotemporal Method for Fusing Satellite Images with Different Resolutions | Remote Sensing of Environment | 235 | 33.6 |
6 | Xiao et al. [55] | Characterization of Forest Types in NorthEastern China using Multitemporal SPOT4 Vegetation Sensor Data | Remote Sensing of Environment | 218 | 10.4 |
7 | Li et al. [56] | Eco-environmental Vulnerability Evaluation in Mountainous Region using Remote Sensing and GIS: A Case Study in the Upper Reaches of Minjiang River China | Ecological Modelling | 190 | 11.2 |
8 | Huang et al. [57] | Mapping Major Land Cover Dynamics in Beijing Using All Landsat Images in Google Earth Engine | Remote Sensing of Environment | 177 | 29.5 |
9 | Zhang et al. [58] | A 2010 Update of National Land use cover Database of China at 1:100,000 Scale Using Medium Spatial Resolution Satellite Images | Remote Sensing of Environment | 172 | 19.1 |
10 | Wulfmeyer et al. [59] | The Convective and Orographically-induced Precipitation Study (COPS): The Scientific Strategy, The Field Phase, and Research Highlights | Quarterly Journal of the Royal Meteorological Society | 148 | 12.3 |
11 | Chen et al. [60] | A Mangrove Forest Map of China In 2015 Analysis of Time Series Landsat 78 and Sentinel1A Imagery in Google Earth Engine Cloud Computing Platform | ISPRS Journal of Photogrammetry and Remote Sensing | 139 | 23.2 |
12 | Muno et al. [61] | A Catalog of Xray Point Sources from Two Megaseconds of Chandra Observations of the Galactic Center | Astrophysical Journal Supplement Series | 134 | 9.8 |
13 | Nie et al. [62] | A Regional-scale Assessment of Himalayan Glacial Lake Changes Using Satellite Observations From 1990 to 2015 | Remote Sensing of Environment | 121 | 20.2 |
14 | Ma et al. [63] | Response of Hydrological Processes to Landcover and Climate Changes in Kejie Watershed Southwest China | Hydrological Processes | 114 | 8.1 |
15 | Li and Sheng [64] | An Automated Scheme for Glacial Lake Dynamics Mapping using Landsat Imagery and Digital Elevation Models: A Case Study in the Himalayas | International Journal of Remote Sensing | 113 | 10.3 |
16 | Chen et al. [65] | Forested Landslide Detection Using Lidar Data and the Random Forest Algorithm: A Case Study of the Three Gorges China | Remote Sensing of Environment | 109 | 12.1 |
17 | Yin et al. [66] | An Assessment of the Biases of Satellite Rainfall Estimates over the Tibetan Plateau and Correction Methods Based on Topographic Analysis | Journal of Hydrometeorology | 108 | 7.2 |
18 | Zhang et al. [67] | Regional Differences of Lake Evolution Across China During 1960s–2015 and its Natural and Anthropogenic Causes | Remote Sensing of Environment | 107 | 26.8 |
19 | Jiapaer et al. [68] | Vegetation Dynamics and Responses to Recent Climate Change in Xinjiang using Leaf Area Index as an Indicator | Ecological Indicators | 100 | 12.5 |
20 | Yao et al. [69] | Spatiotemporal Pattern of Gross Primary Productivity and Its Covariation with Climate in China Over the Last Thirty Years | Global Change Biology | 87 | 17.4 |
Data Type | Number of Studies | Sensor | Acquisition Cost |
---|---|---|---|
Landsat | 12 | Multispectral | Free |
Sentinel | 2 | Multispectral | Free |
MODIS | 2 | Multispectral | Free |
Meteosat Second Generation-8 (MSG-8), LiDAR and radar | 1 | Multispectral, LiDAR, and Radar | Free and High |
SPOT | 1 | Multispectral | Free |
Tropical Rainfall Measuring Mission (TRMM) | 1 | Radar | Free |
LiDAR | 1 | LiDAR | High |
Advanced CCD Imaging Spectrometer (ACIS) | 1 | Hyperspectral | Free |
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Jombo, S.; Abd Elbasit, M.A.M.; Gumbo, A.D.; Nethengwe, N.S. Remote Sensing Application in Mountainous Environments: A Bibliographic Analysis. Int. J. Environ. Res. Public Health 2023, 20, 3538. https://doi.org/10.3390/ijerph20043538
Jombo S, Abd Elbasit MAM, Gumbo AD, Nethengwe NS. Remote Sensing Application in Mountainous Environments: A Bibliographic Analysis. International Journal of Environmental Research and Public Health. 2023; 20(4):3538. https://doi.org/10.3390/ijerph20043538
Chicago/Turabian StyleJombo, Simbarashe, Mohamed A. M. Abd Elbasit, Anesu D. Gumbo, and Nthaduleni S. Nethengwe. 2023. "Remote Sensing Application in Mountainous Environments: A Bibliographic Analysis" International Journal of Environmental Research and Public Health 20, no. 4: 3538. https://doi.org/10.3390/ijerph20043538