Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

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

View through CrossRef
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.
Title: Progress and Trends in the Application of Google Earth and Google Earth Engine
Description:
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.

Related Results

Analisa Perbandingan GPS Google Maps Dan GPS Google Earth Dalam Penentuan Titik Koordinat Breeding Place
Analisa Perbandingan GPS Google Maps Dan GPS Google Earth Dalam Penentuan Titik Koordinat Breeding Place
INTISARINyamuk  Aedes  Aegypti menularkan penyakit DBD (Demam Berdarah Dengue) ke manusia dengan gigitannya. Breeding Place  merupakan berkembangbiaknya  jentik nyamuk di tempat pe...
Theia can arrive late and be oxidized, but not if it is large compared to proto-Earth
Theia can arrive late and be oxidized, but not if it is large compared to proto-Earth
The Moon-forming impact was the most significant event during the accretion of Earth substantially establishing the physical and chemical states of the Earth-Moon system. In the ca...
Development of the Tour Split-Cycle Internal Combustion Engine
Development of the Tour Split-Cycle Internal Combustion Engine
<div class="section abstract"><div class="htmlview paragraph">The Tour engine is a novel split-cycle internal combustion engine (ICE) that divides the four-stroke Otto ...
OPTIMALISASI SISTEM PENDINGIN ENGINE CATERPILLAR 3406E MILIK POLITEKNIK NEGERI JAKARTA
OPTIMALISASI SISTEM PENDINGIN ENGINE CATERPILLAR 3406E MILIK POLITEKNIK NEGERI JAKARTA
ABSTRACTAn engine can not be separated from the various systems in which is one of them is a cooling system, cooling system is the most important system in supporting the performan...
Quantitative Feedback Control of Air Path in Diesel-Dual-Fuel Engine
Quantitative Feedback Control of Air Path in Diesel-Dual-Fuel Engine
<div class="section abstract"><div class="htmlview paragraph">In this paper, we investigate a multivariable control of air path of a diesel-dual-fuel (DDF) engine. The ...
The F-16 Common Engine Bay
The F-16 Common Engine Bay
In 1979 the United States Air Force elected under the Engine Model Derivative Program (EMDP) to explore derivative engine concepts by the General Electric Company and the Pratt and...
Cummins/TACOM Advanced Adiabatic Engine
Cummins/TACOM Advanced Adiabatic Engine
<div class="htmlview paragraph">Cummins Engine Company, Inc. and the U.S. Army have been jointly developing an adiabatic turbocompound engine during the last nine years. Alth...
ERROR ESTIMATION FOR A PIEZOELECTRIC CONTACT PROBLEM WITH WEAR AND LONG MEMORY
ERROR ESTIMATION FOR A PIEZOELECTRIC CONTACT PROBLEM WITH WEAR AND LONG MEMORY
We study a mathematical model for a quasistatic behavior of electro-viscoelastic materials. The problem is related to highly nonlinear and non-smooth phenomena like contact, fricti...

Back to Top