Cited by 42Remote Sensing in AgricultureClimate variability and modelsPlant Water Relations and Carbon Dynamics

Terrestrial vegetation dynamics and global climate controls

Potter, Christopher, Boriah, Shyam, Steinbach, Michael, Kumar, Vipin, Klooster, Steven·2008·Climate Dynamics

Integrity signals

Registry

Crossref · 10.1007/s00382-007-0339-5

Cites

49 of 49 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?

  • Manual, on-the-ground observation can be accelerated by annotation of remote sensing data.

    “This has traditionally been done via manual, on-the-ground observation, but the process can be accelerated by annotation of remote sensing data [91,92,513,637] (see also Section 6.1).”

    From Tackling climate change with machine learning (2023) · cites this paper as [637]

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Authors
Potter, C., Boriah, S., Steinbach, M., Kumar, V., & Klooster, S.
Affiliations
  • Ames Research Center (US)
  • University of Minnesota (US)
  • California State University, Monterey Bay (US)
Corresponding author
Potter, Christopher
Venue
Climate Dynamics
Published
2007-11-27
Volume
31
Issue
1
Pages
67-78
ISSN
  • 0930-7575 (ISSN-L)
  • 1432-0894
OpenAlex
W2107502340
Cited by
42
References
49
Citations by year
2024: 1 · 2023: 7 · 2022: 4 · 2021: 3 · 2020: 2 · 2019: 1 · 2018: 5 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 4 · 2012: 2
FWCI
2.03
Type
journal article
Language
en
Open access
closed
Locations
Climate Dynamics (publishedVersion)
Funders
National Aeronautics and Space Administration
Topics
  • Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
Keywords
ENSO, MODIS, rainfall variability, drought, 1997-1998 El Niño, Southern Africa, Central Asia

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.

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