The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Characterization of forest types in Northeastern China, using multi-temporal SPOT-4 VEGETATION sensor data
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Citations
Cites
NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space
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Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
Loveland, T. R., Reed, B. C., Brown, J. F., Ohlen, D. O., Zhu, Z., Yang, L., & Merchant, J. W. (2000) · International Journal of Remote Sensing · doi:10.1080/014311600210191 · Cited by 2,580
Global land cover classification at 1 km spatial resolution using a classification tree approach
Hansen, M. C., Defries, R. S., Townshend, J. R. G., & Sohlberg, R. (2000) · International Journal of Remote Sensing · doi:10.1080/014311600210209 · Cited by 2,280
Changes in Forest Biomass Carbon Storage in China Between 1949 and 1998
Fang, J., Chen, A., Peng, C., Zhao, S., & Ci, L. (2001) · Science · doi:10.1126/science.1058629 · Cited by 1,577
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
Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems
Schimel, D. S., House, J. I., Hibbard, K. A., Bousquet, P., Ciais, P., Peylin, P., Braswell, B. H., Apps, M. J., Baker, D., Bondeau, A., et al. (2001) · Nature · doi:10.1038/35102500 · Cited by 1,379
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African Land-Cover Classification Using Satellite Data
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NDVI-derived land cover classifications at a global scale
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Cited by
Optical vegetation indices for monitoring terrestrial ecosystems globally
Zeng, Y., Hao, D., Huete, A., Dechant, B., Berry, J., Chen, J. M., Joiner, J., Frankenberg, C., Bond-Lamberty, B., Ryu, Y., et al. (2022) · Nature Reviews Earth & Environment · doi:10.1038/s43017-022-00298-5 · Cited by 837
Otkin, J. A., Svoboda, M., Hunt, E. D., Ford, T. W., Anderson, M. C., Hain, C., & Basara, J. B. (2018) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-17-0149.1 · Cited by 689
Cai, Y., Guan, K., Peng, J., Wang, S., Seifert, C., Wardlow, B., & Li, Z. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.02.045 · Cited by 540
Metadata
- Authors
- Xiao, X., Boles, S., Liu, J., Zhuang, D., & Liu, M.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 82
- Issue
- 2-3
- Pages
- 335-348
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2117189556
- Cited by
- 355
- References
- 20
- FWCI
- 6.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Characterization of forest types in Northeastern China, using multi-temporal SPOT-4 VEGETATION sensor data. https://app.cochat.ai/papers/10.1016/s0034-4257(02)00051-2
- The paper
- Xiao, X., Boles, S., Liu, J., Zhuang, D., & Liu, M. (2002). Characterization of forest types in Northeastern China, using multi-temporal SPOT-4 VEGETATION sensor data. Remote Sensing of Environment. https://doi.org/10.1016/s0034-4257(02)00051-2
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.
