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Analysis of the phenology of global vegetation using meteorological satellite data
Open accessAbstract
Coarse spatial resolution, high temporal frequency satellite data from the NOAA/AVHRR system are presented to demonstrate their utility for monitoring vegetation seasonal dynamics. The techniques for processing and analysing the data are outlined and examples are given for selected applications at a range of scales. Normalized difference vegetation index images are presented for the entire globe and for the continents of Africa, South America and south-east Asia, with descriptions of the seasonal dynamics of major vegetation formations as portrayed by the transformed AVHRR data. Monitoring of forest clearance in Brazil, the productivity of African grasslands, Indian tropical forest and Chinese agriculture are selected for discussion. The paper concludes that coarse-resolution satellite data provide a valuable tool for vegetation mapping and monitoring at regional and global scales.
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Cited by
MODIS: advanced facility instrument for studies of the Earth as a system
Salomonson, V. V., Barnes, W. L., Maymon, P. W., Montgomery, H. E., & Ostrow, H. (1989) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.20292 · Cited by 1,051
Vegetation in deserts: I. A regional measure of abundance from multispectral images
Smith, M. O., Ustin, S. L., Adams, J. B., & Gillespie, A. R. (1990) · Remote Sensing of Environment · doi:10.1016/0034-4257(90)90074-v · Cited by 759
Droughts of the Late 1980s in the United States as Derived from NOAA Polar-Orbiting Satellite Data
Kogan, F. N. (1995) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1995)076<0655:dotlit>2.0.co;2 · Cited by 746
Terrestrial remote sensing science and algorithms planned for EOS/MODIS
RUNNING, S. W., JUSTICE, C. O., SALOMONSON, V., HALL, D., BARKER, J., KAUFMANN, Y. J., STRAHLER, A. H., HUETE, A. R., MULLER, J.-P., VANDERBILT, V., et al. (1994) · International Journal of Remote Sensing · doi:10.1080/01431169408954346 · Cited by 417
Self-citationDecomposition of vegetation cover into woody and herbaceous components using AVHRR NDVI time series
Lu, H. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(03)00054-3 · Cited by 286
Metadata
- Authors
- JUSTICE, C. O., TOWNSHEND, J. R. G., HOLBEN, B. N., & TUCKER, C. J.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 1985-08
- Volume
- 6
- Issue
- 8
- Pages
- 1271-1318
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2056447651
- Cited by
- 1,113
- References
- 0
- FWCI
- 39.81
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- JUSTICE, C. O., TOWNSHEND, J. R. G., HOLBEN, B. N., & TUCKER, C. J. (1985). Analysis of the phenology of global vegetation using meteorological satellite data. International Journal of Remote Sensing. https://doi.org/10.1080/01431168508948281
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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.
