Earth system science and remote sensing

1985 ◽  
Vol 73 (6) ◽  
pp. 1118-1127 ◽  
Author(s):  
F.P. Bretherton
Keyword(s):  
Remote Sensing ◽  
Earth System ◽  
Earth System Science ◽  
System Science

scholarly journals Integrating airborne remote sensing and field campaigns for ecology and Earth system science

2020 ◽  
Vol 11 (11) ◽  
pp. 1492-1508
Author(s):  
K. Dana Chadwick ◽  
Philip G. Brodrick ◽  
Kathleen Grant ◽  
Tristan Goulden ◽  
Amanda Henderson ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Earth System ◽  
Airborne Remote Sensing ◽  
Earth System Science ◽  
System Science ◽  
Field Campaigns

scholarly journals Progress and Trends in the Application of Google Earth and Google Earth Engine

2021 ◽  
Vol 13 (18) ◽  
pp. 3778
Author(s):  
Qiang Zhao ◽  
Le Yu ◽  
Xuecao Li ◽  
Dailiang Peng ◽  
Yongguang Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Biology Education ◽  
The United States ◽  
Google Earth ◽  
Earth Observation ◽  
Earth System ◽  
Earth System Science ◽  
System Science ◽  
Research Areas ◽  
Google Earth Engine

Earth system science has changed rapidly due to global environmental changes and the advent of Earth observation technology. Therefore, new tools are required to monitor, measure, analyze, evaluate, and model Earth observation data. Google Earth (GE) was officially launched by Google in 2005 as a ”geobrowser”, and Google Earth Engine (GEE) was released in 2010 as a cloud computing platform with substantial computational capabilities. The use of these two tools or platforms in various applications, particularly as used by the remote sensing community, has developed rapidly. In this paper, we reviewed the applications and trends in the use of GE and GEE by analyzing peer-reviewed articles, dating up to January 2021, in the Web of Science (WoS) core collection using scientometric analysis (i.e., by using CiteSpace) and meta-analysis. We found the following: (1) the number of articles describing the use of GE or GEE increased substantially from two in 2006 to 530 in 2020. The number of GEE articles increased much faster than those concerned with the use of GE. (2) Both GE and GEE were extensively used by the remote sensing community as multidisciplinary tools. GE articles covered a broader range of research areas (e.g., biology, education, disease and health, economic, and information science) and appeared in a broader range of journals than those concerned with the use of GEE. (3) GE and GEE shared similar keywords (e.g., “land cover”, “water”, “model”, “vegetation”, and “forest”), which indicates that their application is of great importance in certain research areas. The main difference was that articles describing the use of GE emphasized its use as a visual display platform, while those concerned with GEE placed more emphasis on big data and time-series analysis. (4) Most applications of GE and GEE were undertaken in countries, such as the United States, China, and the United Kingdom. (5) GEE is an important tool for analysis, whereas GE is used as an auxiliary tool for visualization. Finally, in this paper, the merits and limitations of GE and GEE, and recommendations for further improvements, are summarized from an Earth system science perspective.

Remote sensing experiments for earth system science

2021 ◽  
Vol 14 (10) ◽  
pp. 1237-1242
Author(s):  
Tianjie Zhao ◽  
Michael H. Cosh ◽  
Alexandre Roy ◽  
Xihan Mu ◽  
Yubao Qiu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Earth System ◽  
Earth System Science ◽  
System Science
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