Example of International Journal of Digital Earth format
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Example of International Journal of Digital Earth format Example of International Journal of Digital Earth format Example of International Journal of Digital Earth format Example of International Journal of Digital Earth format Example of International Journal of Digital Earth format Example of International Journal of Digital Earth format
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Example of International Journal of Digital Earth format Example of International Journal of Digital Earth format Example of International Journal of Digital Earth format Example of International Journal of Digital Earth format Example of International Journal of Digital Earth format Example of International Journal of Digital Earth format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access ISSN: 17538947 e-ISSN: 17538955
recommended Recommended

International Journal of Digital Earth — Template for authors

Publisher: Taylor and Francis
Categories Rank Trend in last 3 yrs
Earth and Planetary Sciences (all) #17 of 186 up up by 2 ranks
Computer Science Applications #116 of 693 down down by 2 ranks
Software #85 of 389 up up by 11 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 300 Published Papers | 1977 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 12/07/2020
Insights & related journals
General info
Top papers
Popular templates
Get started guide
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FAQ

Journal Performance & Insights

  • Impact Factor
  • CiteRatio
  • SJR
  • SNIP

Impact factor determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

3.097

22% from 2018

Impact factor for International Journal of Digital Earth from 2016 - 2019
Year Value
2019 3.097
2018 3.985
2017 2.746
2016 2.292
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 22% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

CiteRatio is a measure of average citations received per peer-reviewed paper published in the journal.

6.6

8% from 2019

CiteRatio for International Journal of Digital Earth from 2016 - 2020
Year Value
2020 6.6
2019 7.2
2018 5.6
2017 4.7
2016 5.5
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has decreased by 8% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR) measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

0.813

25% from 2019

SJR for International Journal of Digital Earth from 2016 - 2020
Year Value
2020 0.813
2019 1.084
2018 1.116
2017 0.728
2016 0.92
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 25% in last years.
  • This journal’s SJR is in the top 10 percentile category.

Source Normalized Impact per Paper (SNIP) measures actual citations received relative to citations expected for the journal's category.

1.434

5% from 2019

SNIP for International Journal of Digital Earth from 2016 - 2020
Year Value
2020 1.434
2019 1.513
2018 1.58
2017 1.223
2016 1.459
graph view Graph view
table view Table view

insights Insights

  • SNIP of this journal has decreased by 5% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

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CiteRatio: 10.8 | SJR: 1.075 | SNIP: 2.756
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International Journal of Digital Earth

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Taylor and Francis

International Journal of Digital Earth

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Digital Earth formatting guidelines as mentioned in Taylor and Francis author instructions. The current version was created on 12 Jul 2020 and has been used by 613 authors to write and format their manuscripts to this journal.

Earth and Planetary Sciences

i
Last updated on
12 Jul 2020
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ISSN
1753-8947
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Impact Factor
High - 1.83
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
Taylor and Francis Custom Citation
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Citation Type
Numbered
[25]
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Bibliography Example
Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys Rev B. 1982; 25(7):4515–4532. Available from: 10.1103/PhysRevB.25.4515.

Top papers written in this journal

Journal Article DOI: 10.1080/17538941003759255
Crowdsourcing geographic information for disaster response: a research frontier
Michael F. Goodchild1, J. Alan Glennon1

Abstract:

Geographic data and tools are essential in all aspects of emergency management: preparedness, response, recovery, and mitigation. Geographic information created by amateur citizens, often known as volunteered geographic information, has recently provided an interesting alternative to traditional authoritative information from... Geographic data and tools are essential in all aspects of emergency management: preparedness, response, recovery, and mitigation. Geographic information created by amateur citizens, often known as volunteered geographic information, has recently provided an interesting alternative to traditional authoritative information from mapping agencies and corporations, and several recent papers have provided the beginnings of a literature on the more fundamental issues raised by this new source. Data quality is a major concern, since volunteered information is asserted and carries none of the assurances that lead to trust in officially created data. During emergencies time is the essence, and the risks associated with volunteered information are often outweighed by the benefits of its use. An example is discussed using the four wildfires that impacted the Santa Barbara area in 2007–2009, and lessons are drawn. read more read less

Topics:

Volunteered geographic information (63%)63% related to the paper, Neogeography (59%)59% related to the paper, Preparedness (53%)53% related to the paper, Emergency management (52%)52% related to the paper, Crowdsourcing (51%)51% related to the paper
View PDF
769 Citations
open accessOpen access Journal Article DOI: 10.1080/17538947.2013.786146
Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error

Abstract:

We developed a global, 30-m resolution dataset of percent tree cover by rescaling the 250-m MOderate-resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF) Tree Cover layer using circa- 2000 and 2005 Landsat images, incorporating the MODIS Cropland Layer to improve accuracy in agricultural areas Resul... We developed a global, 30-m resolution dataset of percent tree cover by rescaling the 250-m MOderate-resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF) Tree Cover layer using circa- 2000 and 2005 Landsat images, incorporating the MODIS Cropland Layer to improve accuracy in agricultural areas Resulting Landsat-based estimates maintained consistency with the MODIS VCF in both epochs (RMSE =86% in 2000 and 119% in 2005), but showed improved accuracy in agricultural areas and increased discrimination of small forest patches Against lidar measurements, the Landsat-based estimates exhibited accuracy slightly less than that of the MODIS VCF (RMSE=168% for MODIS-based vs 174% for Landsat-based estimates), but RMSE of Landsat estimates was 33 percentage points lower than that of the MODIS data in an agricultural region The Landsat data retained the saturation artifact of the MODIS VCF at greater than or equal to 80% tree cover but showed greater potential for removal read more read less
View PDF
463 Citations
open accessOpen access Journal Article DOI: 10.1080/17538947.2016.1239771
Big Data and cloud computing: innovation opportunities and challenges
Chaowei Yang1, Qunying Huang2, Zhenlong Li3, Kai Liu1, Fei Hu1

Abstract:

Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital earth applications including business, sciences and engineering. At the same time, Big Data presents challenges for dig... Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital earth applications including business, sciences and engineering. At the same time, Big Data presents challenges for digital earth to store, transport, process, mine and serve the data. Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software; the application of these resources has fostered impressive Big Data advancements. This paper surveys the two frontiers – Big Data and cloud computing – and reviews the advantages and consequences of utilizing cloud computing to tackling Big Data in the digital earth and relevant science domains. From the aspects of a general introduction, sources, challenges, technology status and research opportunities, the following observations are offered: (i... read more read less

Topics:

Cloud computing (63%)63% related to the paper, Big data (58%)58% related to the paper, Digital Earth (55%)55% related to the paper
View PDF
405 Citations
open accessOpen access Journal Article DOI: 10.1080/17538947.2011.587547
Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing?
Chaowei Yang1, Michael F. Goodchild2, Qunying Huang1, Doug Nebert, Robert Raskin3, Yan Xu4, Myra Bambacus5, Dan Fay4

Abstract:

The geospatial sciences face grand information technology (IT) challenges in the twenty-first century: data intensity, computing intensity, concurrent access intensity and spatiotemporal intensity. These challenges require the readiness of a computing infrastructure that can: (1) better support discovery, access and utilizati... The geospatial sciences face grand information technology (IT) challenges in the twenty-first century: data intensity, computing intensity, concurrent access intensity and spatiotemporal intensity. These challenges require the readiness of a computing infrastructure that can: (1) better support discovery, access and utilization of data and data processing so as to relieve scientists and engineers of IT tasks and focus on scientific discoveries; (2) provide real-time IT resources to enable real-time applications, such as emergency response; (3) deal with access spikes; and (4) provide more reliable and scalable service for massive numbers of concurrent users to advance public knowledge. The emergence of cloud computing provides a potential solution with an elastic, on-demand computing platform to integrate – observation systems, parameter extracting algorithms, phenomena simulations, analytical visualization and decision support, and to provide social impact and user feedback – the essential eleme... read more read less

Topics:

Utility computing (65%)65% related to the paper, Cloud computing (64%)64% related to the paper, End-user computing (61%)61% related to the paper, Geospatial analysis (55%)55% related to the paper, Decision support system (52%)52% related to the paper
View PDF
315 Citations
Journal Article DOI: 10.1080/17538947.2014.990526
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Dengsheng Lu1, Qi Chen2, Guangxing Wang3, Lijuan Liu, Guiying Li1, Emilio F. Moran1

Abstract:

Remote sensing-based methods of aboveground biomass (AGB) estimation in forest ecosystems have gained increased attention, and substantial research has been conducted in the past three decades. This paper provides a survey of current biomass estimation methods using remote sensing data and discusses four critical issues – col... Remote sensing-based methods of aboveground biomass (AGB) estimation in forest ecosystems have gained increased attention, and substantial research has been conducted in the past three decades. This paper provides a survey of current biomass estimation methods using remote sensing data and discusses four critical issues – collection of field-based biomass reference data, extraction and selection of suitable variables from remote sensing data, identification of proper algorithms to develop biomass estimation models, and uncertainty analysis to refine the estimation procedure. Additionally, we discuss the impacts of scales on biomass estimation performance and describe a general biomass estimation procedure. Although optical sensor and radar data have been primary sources for AGB estimation, data saturation is an important factor resulting in estimation uncertainty. LIght Detection and Ranging (lidar) can remove data saturation, but limited availability of lidar data prevents its extensive application. This... read more read less
312 Citations
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International Journal of Digital Earth format uses Taylor and Francis Custom Citation citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

Absolutely not! With our tool, you can freely write without having to focus on LaTeX. You can write your entire paper as per the International Journal of Digital Earth guidelines and autoformat it.

Yes. The template is fully compliant as per the guidelines of this journal. Our experts at SciSpace ensure that. Also, if there's any update in the journal format guidelines, we take care of it and include that in our algorithm.

Sure. We support all the top citation styles like APA style, MLA style, Vancouver style, Harvard style, Chicago style, etc. For example, in case of this journal, when you write your paper and hit autoformat, it will automatically update your article as per the International Journal of Digital Earth citation style.

You can avail our Free Trial for 7 days. I'm sure you'll find our features very helpful. Plus, it's quite inexpensive.

Yup. You can choose the right template, copy-paste the contents from the word doc and click on auto-format. You'll have a publish-ready paper that you can download at the end.

A matter of seconds. Besides that, our intuitive editor saves a load of your time in writing and formating your manuscript.

One little Google search can get you the Word template for any journal. However, why do you need a Word template when you can write your entire manuscript on SciSpace, autoformat it as per International Journal of Digital Earth's guidelines and download the same in Word, PDF and LaTeX formats? Try us out!.

Absolutely! You can do it using our intuitive editor. It's very easy. If you need help, you can always contact our support team.

SciSpace is an online tool for now. We'll soon release a desktop version. You can also request (or upvote) any feature that you think might be helpful for you and the research community in the feature request section once you sign-up with us.

Sure. You can request any template and we'll have it up and running within a matter of 3 working days. You can find the request box in the Journal Gallery on the right sidebar under the heading, "Couldn't find the format you were looking for?".

After you have written and autoformatted your paper, you can download it in multiple formats, viz., PDF, Docx and LaTeX.

To be honest, the answer is NO. The impact factor is one of the many elements that determine the quality of a journal. Few of those factors the review board, rejection rates, frequency of inclusion in indexes, Eigenfactor, etc. You must assess all the factors and then take the final call.

SHERPA/RoMEO Database

We have extracted this data from Sherpa Romeo to help our researchers understand the access level of this journal. The following table indicates the level of access a journal has as per Sherpa Romeo Archiving Policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

The 5 most common citation types in order of usage are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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Yes. SciSpace provides this functionality.

After signing up, you would need to import your existing references from Word or .bib file.

SciSpace would allow download of your references in International Journal of Digital Earth Endnote style, according to taylor-and-francis guidelines.

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