Cited by 129Coral and Marine Ecosystems StudiesSpecies Distribution and Climate ChangeMarine Biology and Ecology Research

Predictive mapping of reef fish species richness, diversity and biomass in Zanzibar using IKONOS imagery and machine-learning techniques

Knudby, Anders, LeDrew, Ellsworth, Brenning, Alexander·2010·Remote Sensing of Environment

Integrity signals

Registry

Crossref · 10.1016/j.rse.2010.01.007

Cites

69 of 69 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Significant error reduction of machine learning and deep learning with respect to traditional generalized regression models has been reported routinely for species richness and diversity estimation.

    “Significant error reduction of ML and DL with respect to traditional generalized regression models has been reported routinely for species richness and diversity estimation33,34.”

    From Perspectives in machine learning for wildlife conservation (2022) · cites this paper as [34]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Knudby, A., LeDrew, E., & Brenning, A.
Affiliations
University of Waterloo (CA)
Corresponding author
Knudby, Anders
Venue
Remote Sensing of Environment
Publisher
Elsevier BV
Published
2010-06
Volume
114
Issue
6
Pages
1230-1241
ISSN
0034-4257 (ISSN-L)
OpenAlex
W2101478587
Cited by
129
References
69
Citations by year
2026: 1 · 2025: 7 · 2024: 5 · 2023: 11 · 2022: 9 · 2021: 12 · 2020: 6 · 2019: 5 · 2018: 8 · 2017: 4 · 2016: 12 · 2015: 6 · 2014: 15 · 2013: 12 · 2012: 5
FWCI
8.09
Type
journal article
Language
en
Open access
closed
Locations
Remote Sensing of Environment (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Ecology › Coral and Marine Ecosystems Studies
  • Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Biology and Ecology Research
Keywords
reef fish, species richness, fish biomass, fish diversity, coral reef habitat, structural complexity, live coral cover, habitat variables, IKONOS imagery, satellite remote sensing, tree-based ensemble models, permutation importance, spatial scale, marine spatial planning

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review