The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
Satellite remote sensing of forest resources: three decades of research development
Abstract
Three decades have passed since the launch of the first international satellite sensor programme designed for monitoring Earth’s resources. Over this period, forest resources have come under increasing pressure, thus their management and use should be underpinned by information on their properties at a number of levels. This paper provides a comprehensive review of how satellite remote sensing has been used in forest resource assessment since the launch of the first Earth resources satellite sensor (ERTS) in 1972. The use of remote sensing in forest resource assessment provides three levels of information; namely (1) the spatial extent of forest cover, which can be used to assess the spatial dynamics of forest cover; (2) forest type and (3) biophysical and biochemical properties of forests. The assessment of forest information over time enables the comprehensive monitoring of forest resources. This paper provides a comprehensive review of how satellite remote sensing has been used to date and, building on these experiences, the future potential of satellite remote sensing of forest resources is highlighted.
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Cites
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BackgroundClassification and Change Detection Using Landsat TM Data
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Relating forest biomass to SAR data
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The modifiable areal unit problem (MAUP) in physical geography
Dark, S. J., & Bram, D. (2007) · Progress in Physical Geography: Earth and Environment · doi:10.1177/0309133307083294 · Cited by 398
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Late Cenozoic Glaciations in Patagonia and Tierra del Fuego
Rabassa, J. (2008) · Developments in Quaternary Sciences · doi:10.1016/s1571-0866(07)10008-7 · Cited by 312
Tree Species Classification with Multi-Temporal Sentinel-2 Data
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Metadata
- Authors
- Boyd, D. S., & Danson, F. M.
- Venue
- Progress in Physical Geography: Earth and Environment
- Publisher
- SAGE Publications
- Published
- 2005-03
- Volume
- 29
- Issue
- 1
- Pages
- 1-26
- ISSN
- 0309-1333 (ISSN-L)
- 1477-0296
- OpenAlex
- W1999312795
- Cited by
- 306
- References
- 126
- FWCI
- 9.80
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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