Progress and Trends in the Application of Google Earth and Google Earth Engine
نویسندگان
چکیده
Earth system science has changed rapidly due to global environmental changes and the advent of observation technology. Therefore, new tools are required monitor, measure, analyze, evaluate, model data. Google (GE) was officially launched by in 2005 as a ”geobrowser”, Engine (GEE) released 2010 cloud computing platform with substantial computational capabilities. The use these two or platforms various applications, particularly used remote sensing community, developed rapidly. In this paper, we reviewed applications trends GE GEE analyzing peer-reviewed articles, dating up January 2021, Web Science (WoS) core collection using scientometric analysis (i.e., CiteSpace) meta-analysis. We found following: (1) number articles describing increased substantially from 2006 530 2020. much faster than those concerned GE. (2) Both were extensively community multidisciplinary tools. covered broader range research areas (e.g., biology, education, disease health, economic, information science) appeared journals GEE. (3) shared similar keywords “land cover”, “water”, “model”, “vegetation”, “forest”), which indicates that their application is great importance certain areas. main difference emphasized its visual display platform, while placed more emphasis on big data time-series analysis. (4) Most undertaken countries, such United States, China, Kingdom. (5) an important tool for analysis, whereas auxiliary visualization. Finally, merits limitations GEE, recommendations further improvements, summarized perspective.
منابع مشابه
Investigating and Assessing Soil's Texture and Density in Different Land Uses Via Google Earth Engine System
Introduction: Awareness of soil quality in agricultural lands and natural resources is essential to achieve maximum production and environmental sustainability. Although soil quality is not directly assessed, soil quality indicators are widely used today, including the physical indicators which are of great importance in measuring the soil quality, as they directly influence the plant growth an...
متن کاملInvestigation of land use changes in Gorganrood catchment using Google Earth Engine platform
The purpose of this study is to investigate landuse changes in Gorganrood basin in 2001, 2010 and 2019. Using Landsat and Product-Modes satellite images, used maps were prepared using the classification method of random forest algorithm in Google Earth Engine. Satellite imagery was classified into eight classes including forest, cropland, shrubland, grassland, wetland, urban, barren, and water....
متن کاملVHR Semantic Labeling by Random Forest Classification and Fusion of Spectral and Spatial Features on Google Earth Engine
Semantic labeling is an active field in remote sensing applications. Although handling high detailed objects in Very High Resolution (VHR) optical image and VHR Digital Surface Model (DSM) is a challenging task, it can improve the accuracy of semantic labeling methods. In this paper, a semantic labeling method is proposed by fusion of optical and normalized DSM data. Spectral and spatial featur...
متن کاملApplication of Google Earth in Modern River Sedimentology Research
Google Earth, a software based on satellite’s images and database of navigation, gains features of high resolution, integrated images, quick update, convenience, simpleness and free cost. Practice of this software shows that it plays an important role in mapping, construction and river research. Based on the fundamental features of Google Earth, this passage makes an introduction to its applica...
متن کامل3d Gis Application by Implementing 3d City Model with Google Earth and Google Map Integration
Because of the rapid technological developments in web based geographical information systems, web based map applications and visual tours with 3d models, web applications are getting more indispensable part of presenting geographical information systems through web. In web based geographical information systems, the visualization is more important than desktop information systems. For the need...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2021
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs13183778