The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Detecting trend and seasonal changes in satellite image time series
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Citations
Cites
Computation and analysis of multiple structural change models
Bai, J., & Perron, P. (2003) · Journal of Applied Econometrics · doi:10.1002/jae.659 · Cited by 5,771
Cited by
Zhao, K., Wulder, M. A., Hu, T., Bright, R., Wu, Q., Qin, H., Li, Y., Toman, E., Mallick, B., Zhang, X., et al. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.04.034 · Cited by 514
A cloud detection algorithm for satellite imagery based on deep learning
Jeppesen, J. H., Jacobsen, R. H., Inceoglu, F., & Toftegaard, T. S. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.03.039 · Cited by 402
Limits to detectability of land degradation by trend analysis of vegetation index data
Wessels, K. J., van den Bergh, F., & Scholes, R. J. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.06.022 · Cited by 309
Compound fire‐drought regimes promote ecosystem transitions in Mediterranean ecosystems
Batllori, E., De Cáceres, M., Brotons, L., Ackerly, D. D., Moritz, M. A., & Lloret, F. (2019) · Journal of Ecology · doi:10.1111/1365-2745.13115 · Cited by 86
White-Sand Savannas Expand at the Core of the Amazon After Forest Wildfires
Flores, B. M., & Holmgren, M. (2021) · Ecosystems · doi:10.1007/s10021-021-00607-x · Cited by 73
Metadata
- Authors
- Verbesselt, J., Hyndman, R., Newnham, G., & Culvenor, D.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 114
- Issue
- 1
- Pages
- 106-115
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2161336494
- Cited by
- 1,847
- References
- 1
- FWCI
- 19.67
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Detecting trend and seasonal changes in satellite image time series. https://app.cochat.ai/papers/10.1016/j.rse.2009.08.014
- The paper
- Verbesselt, J., Hyndman, R., Newnham, G., & Culvenor, D. (2010). Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2009.08.014
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.
