The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
A new global 1‐km dataset of percentage tree cover derived from remote sensing
Open accessAbstract
Summary: Accurate assessment of the spatial extent of forest cover is a crucial requirement for quantifying the sources and sinks of carbon from the terrestrial biosphere. In the more immediate context of the United Nations Framework Convention on Climate Change, implementation of the Kyoto Protocol calls for estimates of carbon stocks for a baseline year as well as for subsequent years. Data sources from country level statistics and other ground‐based information are based on varying definitions of ‘forest’ and are consequently problematic for obtaining spatially and temporally consistent carbon stock estimates. By combining two datasets previously derived from the Advanced Very High Resolution Radiometer (AVHRR) at 1 km spatial resolution, we have generated a prototype global map depicting percentage tree cover and associated proportions of trees with different leaf longevity (evergreen and deciduous) and leaf type (broadleaf and needleleaf). The product is intended for use in terrestrial carbon cycle models, in conjunction with other spatial datasets such as climate and soil type, to obtain more consistent and reliable estimates of carbon stocks. The percentage tree cover dataset is available through the Global Land Cover Facility at the University of Maryland at http://glcf.umiacs.umd.edu.
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Self-citationTropical Deforestation and Habitat Fragmentation in the Amazon: Satellite Data from 1978 to 1988
Skole, D., & Tucker, C. (1993) · Science · doi:10.1126/science.260.5116.1905 · Cited by 1,590
Terrestrial ecosystems and the carbon cycle
SCHIMEL, D. S. (1995) · Global Change Biology · doi:10.1111/j.1365-2486.1995.tb00008.x · Cited by 1,564
African Land-Cover Classification Using Satellite Data
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Self-citationNDVI-derived land cover classifications at a global scale
DEFRIES, R. S., & TOWNSHEND, J. R. G. (1994) · International Journal of Remote Sensing · doi:10.1080/01431169408954345 · Cited by 1,053
Self-citationThe IGBP-DIS global 1km land cover data set, DISCover: First results
Loveland, T. R., & Belward, A. S. (1997) · International Journal of Remote Sensing · doi:10.1080/014311697217099 · Cited by 639
Self-citationDe Fries, R. S., Hansen, M., Townshend, J. R. G., & Sohlberg, R. (1998) · International Journal of Remote Sensing · doi:10.1080/014311698214235 · Cited by 618
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The 1 km AVHRR global land data set: first stages in implementation
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Emission factors for open and domestic biomass burning for use in atmospheric models
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Marlon, J. R., Bartlein, P. J., Carcaillet, C., Gavin, D. G., Harrison, S. P., Higuera, P. E., Joos, F., Power, M. J., & Prentice, I. C. (2008) · Nature Geoscience · doi:10.1038/ngeo313 · Cited by 823
Long-term perspective on wildfires in the western USA
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Metadata
- Authors
- Defries, R. S., Hansen, M. C., Townshend, J. R. G., Janetos, A. C., & Loveland, T. R.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2000-02
- Volume
- 6
- Issue
- 2
- Pages
- 247-254
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2161467813
- Cited by
- 459
- References
- 14
- FWCI
- 12.68
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Defries, R. S., Hansen, M. C., Townshend, J. R. G., Janetos, A. C., & Loveland, T. R. (2000). A new global 1‐km dataset of percentage tree cover derived from remote sensing. Global Change Biology. https://doi.org/10.1046/j.1365-2486.2000.00296.x
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