World's Best Scientists 2026 revealed!
Remote Sensing of Environment
H-index 122

Remote Sensing of Environment

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Environmental Sciences 5 781 1294 114
Computer Science 51 98 208 60

Additional Metrics

Number of Best Scientists*: 1534
Documents by Best Scientists*: 1805
Top 100 Ranked Scientists*: 57
SCIMAGO H-index: 371
SCIMAGO SJR: 3.972
Impact Factor: 11.4

Overview

Top Research Topics at Remote Sensing of Environment?

Remote sensing, Vegetation, Normalized Difference Vegetation Index, Land cover and Canopy are among the topics commonly tackled in the journal. The journal facilitates discussions on Remote sensing that incorporate concepts from other fields like Pixel, Meteorology and Moderate-resolution imaging spectroradiometer. The studies tackled, which mainly focus on Pixel, apply to Image resolution as well.

While Vegetation is the focus of the journal, it also provided insights into the studies of Hydrology, Water content, Scale (map) and Thematic Mapper. The study on Water content presented in it intersects with the topics under Soil water. The main emphasis of the journal is the research on Normalized Difference Vegetation Index, emphasizing the topic of Enhanced vegetation index.

The Land cover study featured falls within the wider field of Land use. The study on Canopy presented in the journal intersects with subjects under the field of Leaf area index.

  • Remote sensing (94.35%)
  • Vegetation (17.00%)
  • Normalized Difference Vegetation Index (9.70%)

What are the most cited papers published in the journal?

  • Red and photographic infrared linear combinations for monitoring vegetation (6269 citations)
  • A review of assessing the accuracy of classifications of remotely sensed data (5286 citations)
  • AERONET-a federated instrument network and data archive for aerosol Characterization (5236 citations)

Research areas of the most cited articles at Remote Sensing of Environment:

The journal articles mainly tackle studies in Remote sensing, Vegetation, Normalized Difference Vegetation Index, Land cover and Canopy. The journal articles with studies in Remote sensing featured incorporate elements of Pixel, Leaf area index and Moderate-resolution imaging spectroradiometer. The Vegetation research presented in the most cited publications focuses mostly on Water content and, on occasion, topics in Soil water.

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Remote Sensing of Environment (based on the number of publications) are:

  • Dar A. Roberts (96 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Nicholas C. Coops (90 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • Curtis E. Woodcock (77 papers) published 2 papers at the last edition, 6 less than at the previous edition,
  • Michael A. Wulder (75 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Chuanmin Hu (72 papers) published 6 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Remote Sensing of Environment (based on the number of publications) are:

  • Goddard Space Flight Center (725 papers) published 31 papers at the last edition, 1 less than at the previous edition,
  • Chinese Academy of Sciences (456 papers) published 54 papers at the last edition, 12 less than at the previous edition,
  • University of Maryland, College Park (443 papers) published 24 papers at the last edition, 1 more than at the previous edition,
  • California Institute of Technology (318 papers) published 30 papers at the last edition, 2 more than at the previous edition,
  • Agricultural Research Service (250 papers) published 15 papers at the last edition, 3 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 4.24% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.59% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.72% of all publications and 40.93% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Remote sensing for agricultural applications: A meta-review

    M. Weiss;F. Jacob;G. Duveiller

    (2020)
    1670 Citations
  • Deep learning in environmental remote sensing: Achievements and challenges

    Qiangqiang Yuan;Huanfeng Shen;Tongwen Li;Zhiwei Li

    (2020)
    1506 Citations
  • Mapping global forest canopy height through integration of GEDI and Landsat data

    Peter Potapov;Xinyuan Li;Andres Hernandez-Serna;Alexandra Tyukavina

    (2021)
    1232 Citations
  • Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications

    Jing Wei;Jing Wei;Zhanqing Li;Alexei Lyapustin;Lin Sun

    (2021)
    1135 Citations
  • Annual maps of global artificial impervious area (GAIA) between 1985 and 2018

    Peng Gong;Xuecao Li;Jie Wang;Jie Wang;Yuqi Bai

    (2020)
    1078 Citations
  • lidR: An R package for analysis of Airborne Laser Scanning (ALS) data

    Jean Romain Roussel;David Auty;Nicholas C. Coops;Piotr Tompalski

    (2020)
    893 Citations
  • Land-cover classification with high-resolution remote sensing images using transferable deep models

    Xin-Yi Tong;Gui-Song Xia;Qikai Lu;Huanfeng Shen

    (2020)
    776 Citations
  • Remote sensing of night lights: A review and an outlook for the future

    Noam Levin;Noam Levin;Christopher C.M. Kyba;Christopher C.M. Kyba;Qingling Zhang;Alejandro Sánchez de Miguel;Alejandro Sánchez de Miguel;Alejandro Sánchez de Miguel

    (2020)
    764 Citations
  • A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

    Linglin Zeng;Brian D. Wardlow;Daxiang Xiang;Shun Hu

    (2020)
    761 Citations

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