International Journal Of Digital Earth

SCIE

國(guó)際簡(jiǎn)稱：INT J DIGIT EARTH 參考譯名：國(guó)際數(shù)字地球雜志

主要研究方向：地學(xué)-遙感非預(yù)警期刊審稿周期：約3.0個(gè)月

《國(guó)際數(shù)字地球雜志》(International Journal Of Digital Earth)是一本由Taylor and Francis Ltd.出版的以地學(xué)-遙感為研究特色的國(guó)際期刊，發(fā)表該領(lǐng)域相關(guān)的原創(chuàng)研究文章、評(píng)論文章和綜述文章，及時(shí)報(bào)道該領(lǐng)域相關(guān)理論、實(shí)踐和應(yīng)用學(xué)科的最新發(fā)現(xiàn)，旨在促進(jìn)該學(xué)科領(lǐng)域科學(xué)信息的快速交流。該期刊是一本未開(kāi)放期刊，近三年沒(méi)有被列入預(yù)警名單。該期刊享有很高的科學(xué)聲譽(yù)，影響因子不斷增加，發(fā)行量也同樣高。

1區(qū) 中科院分區(qū)
Q1 JCR分區(qū)
223 年發(fā)文量
3.7 IF影響因子
未開(kāi)放 是否OA
37 H-index
Quarterly 出版周期
English 出版語(yǔ)言

The International Journal of Digital Earth is a response to this initiative. This peer-reviewed academic journal (SCI-E) focuses on the theories, technologies, applications, and societal implications of Digital Earth and those visionary concepts that will enable a modeled virtual world. The journal encourages papers that:

Progress visions for Digital Earth frameworks, policies, and standards;

Explore geographically referenced 3D, 4D, or 5D models to represent the real planet, and geo-data-intensive science and discovery;

Develop methods that turn all forms of geo-referenced data, from scientific to social, into useful information that can be analyzed, visualized, and shared;

Present innovative, operational applications and pilots of Digital Earth technologies at a local, national, regional, and global level;

Expand the role of Digital Earth in the fields of Earth science, including climate change, adaptation and health related issues,natural disasters, new energy sources, agricultural and food security, and urban planning;

Foster the use of web-based public-domain platforms, social networks, and location-based services for the sharing of digital data, models, and information about the virtual Earth; and

Explore the role of social media and citizen-provided data in generating geo-referenced information in the spatial sciences and technologies.

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International Journal Of Digital Earth期刊信息

ISSN：1753-8947
出版語(yǔ)言：English
是否OA：未開(kāi)放
E-ISSN：1753-8955
出版地區(qū)：ENGLAND
是否預(yù)警：否
出版商：Taylor and Francis Ltd.
出版周期：Quarterly
開(kāi)源占比：0.5116
Gold OA文章占比：86.35%
OA被引用占比：0.1671...
出版國(guó)人文章占比：0.28
出版撤稿占比：0
研究類文章占比：95.07%

International Journal Of Digital Earth CiteScore評(píng)價(jià)數(shù)據(jù)（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指數(shù)

6.5

0.95

1.235

學(xué)科類別	分區(qū)	排名	百分位
大類：Earth and Planetary Sciences 小類：General Earth and Planetary Sciences	Q1	30 / 195	84%
大類：Earth and Planetary Sciences 小類：Computer Science Applications	Q2	219 / 817	73%
大類：Earth and Planetary Sciences 小類：Software	Q2	119 / 407	70%

名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻(xiàn)的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個(gè)指標(biāo)。當(dāng)年CiteScore 的計(jì)算依據(jù)是期刊最近4年（含計(jì)算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻(xiàn)數(shù)。例如，2022年的 CiteScore 計(jì)算方法為：2022年的 CiteScore =2019-2022年收到的對(duì)2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻(xiàn)數(shù)量注：文獻(xiàn)類型包括：文章、評(píng)論、會(huì)議論文、書籍章節(jié)和數(shù)據(jù)論文。

International Journal Of Digital Earth中科院評(píng)價(jià)數(shù)據(jù)

中科院 2023年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	地球科學(xué)	1區(qū)	GEOGRAPHY, PHYSICAL 自然地理 REMOTE SENSING 遙感	2區(qū) 3區(qū)

中科院 2022年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
是	否	地球科學(xué)	1區(qū)	GEOGRAPHY, PHYSICAL 自然地理 REMOTE SENSING 遙感	2區(qū) 2區(qū)

中科院 2021年12月舊的升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	地球科學(xué)	2區(qū)	GEOGRAPHY, PHYSICAL 自然地理 REMOTE SENSING 遙感	2區(qū) 3區(qū)

中科院 2021年12月基礎(chǔ)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	地學(xué)	2區(qū)	GEOGRAPHY, PHYSICAL 自然地理 REMOTE SENSING 遙感	2區(qū) 3區(qū)

中科院 2021年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	地球科學(xué)	2區(qū)	GEOGRAPHY, PHYSICAL 自然地理 REMOTE SENSING 遙感	2區(qū) 3區(qū)

中科院 2020年12月舊的升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	地球科學(xué)	2區(qū)	GEOGRAPHY, PHYSICAL 自然地理 REMOTE SENSING 遙感	2區(qū) 2區(qū)

International Journal Of Digital Earth JCR評(píng)價(jià)數(shù)據(jù)（2023-2024年最新版）

按JIF指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：GEOGRAPHY, PHYSICAL	SCIE	Q1	13 / 65	80.8%
學(xué)科：REMOTE SENSING	SCIE	Q2	22 / 62	65.3%

按JCI指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：GEOGRAPHY, PHYSICAL	SCIE	Q1	14 / 65	79.23%
學(xué)科：REMOTE SENSING	SCIE	Q1	14 / 62	78.23%

International Journal Of Digital Earth歷年數(shù)據(jù)統(tǒng)計(jì)

影響因子

中科院分區(qū)

International Journal Of Digital Earth中國(guó)學(xué)者發(fā)文選摘

1、High-resolution spatio-temporal analysis of snowmelt over Antarctic Peninsula ice shelves from 2015 to 2021 using SAR images
Author: Zhu, Qi; Guo, Huadong; Zhang, Lu; Liang, Dong; Liu, Xuting; Zhou, Heng; Gou, Yiting

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 826-847. DOI: 10.1080/17538947.2023.2181991
2、MDvT: introducing mobile three-dimensional convolution to a vision transformer for hyperspectral image classification
Author: Zhou, Xinyao; Zhou, Wenzuo; Fu, Xiaoli; Hu, Yichen; Liu, Jinlian

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 1469-1490. DOI: 10.1080/17538947.2023.2202423
3、A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform
Author: Zhou, Jie; Menenti, Massimo; Jia, Li; Gao, Bo; Zhao, Feng; Cui, Yilin; Xiong, Xuqian; Liu, Xuan; Li, Dengchao

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 988-1007. DOI: 10.1080/17538947.2023.2192004
4、A robust discretization method of factor screening for landslide susceptibility mapping using convolution neural network, random forest, and logistic regression models
Author: Zhao, Zheng; Chen, Jianhua

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 408-429. DOI: 10.1080/17538947.2023.2174192
5、A comprehensive method for refining essential SDGs variables for land degradation monitoring based on the DPSIR framework
Author: Zhao, Yijing; Zhao, Xuesheng; Fan, Deqin; Qiu, Yue

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 741-761. DOI: 10.1080/17538947.2023.2182375
6、A point cloud segmentation method for power lines and towers based on a combination of multiscale density features and point-based deep learning
Author: Zhao, Wenbo; Dong, Qing; Zuo, Zhengli

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 620-644. DOI: 10.1080/17538947.2023.2168770
7、Vegetation ecological benefits index (VEBI): a 3D spatial model for evaluating the ecological benefits of vegetation
Author: Zhang, Zhimei; Fan, Yanguo; Jiao, Zhijun; Fan, Bowen; Zhou, Junwei; Li, Zhanhao

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 1108-1123. DOI: 10.1080/17538947.2023.2192527
8、Analysis of the future trends of typical mountain glacier movements along the Sichuan-Tibet Railway based on ConvGRU network
Author: Zhang, Yali; Zhang, Lifeng; He, Yi; Yao, Sheng; Yang, Wang; Cao, Shengpeng; Sun, Qiang

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 762-780. DOI: 10.1080/17538947.2022.2152884