The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Cross-scalar satellite phenology from ground, Landsat, and MODIS data
Overview
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Citations
Cites
Increased plant growth in the northern high latitudes from 1981 to 1991
Myneni, R. B., Keeling, C. D., Tucker, C. J., Asrar, G., & Nemani, R. R. (1997) · Nature · doi:10.1038/386698a0 · Cited by 3,442
Characteristics of maximum-value composite images from temporal AVHRR data
HOLBEN, B. N. (1986) · International Journal of Remote Sensing · doi:10.1080/01431168608948945 · Cited by 3,002
Geophysical data analysis : discrete inverse theory
Menke, W. H. (1989) · Cited by 2,858
Monitoring vegetation phenology using MODIS
Zhang, X., Friedl, M. A., Schaaf, C. B., Strahler, A. H., Hodges, J. C. F., Gao, F., Reed, B. C., & Huete, A. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00135-9 · Cited by 2,567
Measuring phenological variability from satellite imagery
Reed, B. C., Brown, J. F., VanderZee, D., Loveland, T. R., Merchant, J. W., & Ohlen, D. O. (1994) · Journal of Vegetation Science · doi:10.2307/3235884 · Cited by 1,473
Geophysical Data Analysis: Discrete Inverse Theory
(1989) · International Geophysics · doi:10.1016/s0074-6142(08)x6008-5 · Cited by 1,291
Seasonality extraction by function fitting to time-series of satellite sensor data
Jonsson, P., & Eklundh, L. (2002) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2002.802519 · Cited by 1,272
White, M. A., Thornton, P. E., & Running, S. W. (1997) · Global Biogeochemical Cycles · doi:10.1029/97gb00330 · Cited by 1,261
Increased activity of northern vegetation inferred from atmospheric CO2 measurements
Keeling, C. D., Chin, J. F. S., & Whorf, T. P. (1996) · Nature · doi:10.1038/382146a0 · Cited by 1,122
Onset of spring starting earlier across the Northern Hemisphere
SCHWARTZ, M. D., AHAS, R., & AASA, A. (2006) · Global Change Biology · doi:10.1111/j.1365-2486.2005.01097.x · Cited by 1,037
Metadata
- Authors
- Fisher, J. I., & Mustard, J. F.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2007-08
- Volume
- 109
- Issue
- 3
- Pages
- 261-273
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2139835945
- Cited by
- 309
- References
- 38
- FWCI
- 11.66
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cross-scalar satellite phenology from ground, Landsat, and MODIS data. https://app.cochat.ai/papers/10.1016/j.rse.2007.01.004
- The paper
- Fisher, J. I., & Mustard, J. F. (2007). Cross-scalar satellite phenology from ground, Landsat, and MODIS data. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2007.01.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
