The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data
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A method for the solution of certain non-linear problems in least squares
Levenberg, K. (1944) · Quarterly of Applied Mathematics · doi:10.1090/qam/10666 · Cited by 12,359
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00096-2 · Cited by 9,869
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
Self-citationShifting plant phenology in response to global change
CLELAND, E., CHUINE, I., MENZEL, A., MOONEY, H., & SCHWARTZ, M. (2007) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2007.04.003 · Cited by 2,335
Object-based cloud and cloud shadow detection in Landsat imagery
Zhu, Z., & Woodcock, C. E. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.10.028 · Cited by 2,208
Self-citationMeasuring 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
An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
Zhu, X., Chen, J., Gao, F., Chen, X., & Masek, J. G. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.05.032 · Cited by 1,317
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
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WHITE, M. A., De BEURS, K. M., DIDAN, K., INOUYE, D. W., RICHARDSON, A. D., JENSEN, O. P., O'KEEFE, J., ZHANG, G., NEMANI, R. R., Van LEEUWEN, W. J. D., et al. (2009) · Global Change Biology · doi:10.1111/j.1365-2486.2009.01910.x · Cited by 1,080
Cited by
The Harmonized Landsat and Sentinel-2 surface reflectance data set
Claverie, M., Ju, J., Masek, J. G., Dungan, J. L., Vermote, E. F., Roger, J.-C., Skakun, S. V., & Justice, C. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.09.002 · Cited by 1,497
Current status of Landsat program, science, and applications
Wulder, M. A., Loveland, T. R., Roy, D. P., Crawford, C. J., Masek, J. G., Woodcock, C. E., Allen, R. G., Anderson, M. C., Belward, A. S., Cohen, W. B., et al. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.02.015 · Cited by 1,193
Self-citationAn Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications
Fang, H., Baret, F., Plummer, S., & Schaepman‐Strub, G. (2019) · Reviews of Geophysics · doi:10.1029/2018rg000608 · Cited by 952
Zeng, L., Wardlow, B. D., Xiang, D., Hu, S., & Li, D. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111511 · Cited by 867
The global Landsat archive: Status, consolidation, and direction
Wulder, M. A., White, J. C., Loveland, T. R., Woodcock, C. E., Belward, A. S., Cohen, W. B., Fosnight, E. A., Shaw, J., Masek, J. G., & Roy, D. P. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.11.032 · Cited by 781
Metadata
- Authors
- Melaas, E. K., Friedl, M. A., & Zhu, Z.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 132
- Pages
- 176-185
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2129331467
- Cited by
- 356
- References
- 36
- FWCI
- 19.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data. https://app.cochat.ai/papers/10.1016/j.rse.2013.01.011
- The paper
- Melaas, E. K., Friedl, M. A., & Zhu, Z. (2013). Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2013.01.011
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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.
