World's Best Scientists 2026 revealed!
Remote Sensing in Ecology and Conservation
H-index 30

Remote Sensing in Ecology and Conservation

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Ecology and Evolution 93 212 163 29
Environmental Sciences 362 44 46 15

Additional Metrics

Number of Best Scientists*: 289
Documents by Best Scientists*: 191
Top 100 Ranked Scientists*: 7
SCIMAGO H-index: 45
SCIMAGO SJR: 1.271
Impact Factor: 4.3

Overview

Top Research Topics at Remote Sensing in Ecology and Conservation?

The primary areas of discussion in the journal are Remote sensing, Remote sensing (archaeology), Ecology, Habitat and Vegetation. While Remote sensing is the focus of it, it also provided insights into the studies of Land cover and Artificial intelligence. Remote sensing (archaeology) research presented in Remote Sensing in Ecology and Conservation encompasses a variety of subjects, including Ecology (disciplines) and Environmental resource management.

Remote Sensing in Ecology and Conservation focuses on Environmental resource management research which is adjacent to topics in Earth observation. The presentations discussing Ecology offer insights in topics such as Camera trap, Wildlife, Biodiversity and Ungulate. The featured Biodiversity research zeroes in on concepts in Global biodiversity but also tackles themes under Measurement of biodiversity.

Topics in Vegetation explored in it were investigated in conjunction with research in Canopy and Physical geography. The studies tackled, which mainly focus on Physical geography, apply to Ecosystem as well. The study on Lidar presented in Remote Sensing in Ecology and Conservation intersects with the topics under Biomass (ecology).

  • Remote sensing (33.97%)
  • Remote sensing (archaeology) (18.18%)
  • Ecology (15.31%)

What are the most cited papers published in the journal?

  • Will remote sensing shape the next generation of species distribution models (173 citations)
  • Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions (170 citations)
  • Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward (90 citations)

Research areas of the most cited articles at Remote Sensing in Ecology and Conservation:

The most cited publications are organized to reinforce research efforts on Remote sensing, Ecology, Remote sensing (archaeology), Camera trap and Biodiversity. Issues in Remote sensing were discussed in the journal papers, taking into consideration concepts from other disciplines like Land cover and Vegetation. Ecology (disciplines), Ecosystem and Environmental resource management are some topics wherein Remote sensing (archaeology) research discussed in the journal articles has an impact.

What topics the last edition of the journal is best known for?

  • Ecology
  • Habitat
  • Biodiversity

The previous edition focused in particular on these issues:

The journal mainly deals with areas of study such as Remote sensing, Remote sensing (archaeology), Artificial intelligence, Lidar and Habitat. The research on Remote sensing featured in the journal combines topics in other fields like Abundance (ecology), Drone, Scale (ratio) and Camera trap. The presented Abundance (ecology) research focuses mostly on Ovis canadensis and, on occasion, topics in Ecology.

Remote Sensing in Ecology and Conservation explores topics in Remote sensing (archaeology) which can be helpful for research in disciplines like Ecology (disciplines), Hyperspectral imaging and Environmental resource management. Remote Sensing in Ecology and Conservation deals with Lidar in conjunction with Tree (data structure) and similar fields in Nesting (computing), Spring (hydrology), Normalized Difference Vegetation Index and Selection (genetic algorithm). Aside from discussions in Habitat, the journal also deals with the subject of Oceanography which intersects with Altitude disciplines.

The most cited articles from the last journal are:

  • Discovery of new colonies by Sentinel2 reveals good and bad news for emperor penguins (11 citations)
  • Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes (8 citations)
  • Monitoring spring phenology of individual tree crowns using drone-acquired NDVI data (6 citations)

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 in Ecology and Conservation (based on the number of publications) are:

  • Nathalie Pettorelli (14 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Martin Wegmann (11 papers) absent at the last edition,
  • Kate S. He (5 papers) absent at the last edition,
  • Ned Horning (5 papers) absent at the last edition,
  • Duccio Rocchini (5 papers) absent at the last 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 in Ecology and Conservation (based on the number of publications) are:

  • Zoological Society of London (21 papers) published 5 papers at the last edition, 4 more than at the previous edition,
  • University of Würzburg (10 papers) absent at the last edition,
  • Northern Arizona University (8 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • University of Queensland (8 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • University of Exeter (8 papers) published 3 papers at the last 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, 1.56% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.40% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.05% of all publications and 46.03% 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

  • Real-time insect tracking and monitoring with computer vision and deep learning

    Kim Bjerge;Hjalte M. R. Mann;Toke Thomas Høye

    (2021)
    138 Citations
  • Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes

    Isla Duporge;Olga Isupova;Steven Reece;David W. Macdonald

    (2021)
    135 Citations
  • Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery

    Teja Kattenborn;Jana Eichel;Susan Wiser;Larry Burrows

    (2020)
    135 Citations
  • A roadmap for survey designs in terrestrial acoustic monitoring

    Larissa Sayuri Moreira Sugai;Camille Desjonquères;Thiago Sanna Freire Silva;Thiago Sanna Freire Silva;Diego Llusia;Diego Llusia

    (2020)
    110 Citations
  • Mapping the world's coral reefs using a global multiscale earth observation framework

    Mitchell B. Lyons;Chris M. Roelfsema;Emma V. Kennedy;Eva M. Kovacs

    (2020)
    98 Citations
  • Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species-rich grasslands

    Christian Rossi;Christian Rossi;Christian Rossi;Mathias Kneubühler;Martin Schütz;Michael E. Schaepman

    (2021)
    84 Citations
  • Automated detection of Hainan gibbon calls for passive acoustic monitoring

    Emmanuel Dufourq;Emmanuel Dufourq;Ian Durbach;Ian Durbach;Ian Durbach;James P. Hansford;James P. Hansford;Amanda Hoepfner

    (2021)
    68 Citations
  • Regional matters: On the usefulness of regional land‐cover datasets in times of global change

    (2021)
    64 Citations

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