Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems
- DOI
- 10.1002/rse2.70030
- Published
- 02
- Container
- Remote Sensing in Ecology and Conservation
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1002/rse2.70030,
title = {Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems},
author = {Maik Henrich and Christian Fiderer and Alisa Klamm and Anja Schneider and Axel Ballmann and Jürgen Stein and Raffael Kratzer and Rudolf Reiner and Sina Greiner and Sönke Twietmeyer and Tobias Rönitz and Volker Spicher and Simon Chamaillé‐Jammes and Vincent Miele and Gaspard Dussert and Marco Heurich},
year = {2026},
journal = {Remote Sensing in Ecology and Conservation},
doi = {10.1002/rse2.70030},
url = {https://doi.org/10.1002/rse2.70030}
}RIS
TY - JOUR TI - Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems AU - Maik Henrich AU - Christian Fiderer AU - Alisa Klamm AU - Anja Schneider AU - Axel Ballmann AU - Jürgen Stein AU - Raffael Kratzer AU - Rudolf Reiner AU - Sina Greiner AU - Sönke Twietmeyer AU - Tobias Rönitz AU - Volker Spicher AU - Simon Chamaillé‐Jammes AU - Vincent Miele AU - Gaspard Dussert AU - Marco Heurich PY - 2026 JO - Remote Sensing in Ecology and Conservation DO - 10.1002/rse2.70030 UR - https://doi.org/10.1002/rse2.70030 ER -
APA
Henrich, M., Fiderer, C., Klamm, A., Schneider, A., Ballmann, A., Stein, J., Kratzer, R., Reiner, R., Greiner, S., Twietmeyer, S., Rönitz, T., Spicher, V., Chamaillé‐Jammes, S., Miele, V., Dussert, G., & Heurich, M. (2026). Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.70030
Source records
- doaj · retrieved 2026-09-26T05:55:25.497Z