Multistage Remote Sensing: Toward an Annual National Inventory | Zendy

Raymond L. Czaplewski | Zendy

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Multistage Remote Sensing: Toward an Annual National Inventory

Author(s) -

Raymond L. Czaplewski

Publication year - 1999

Publication title -

journal of forestry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.636

H-Index - 74

eISSN - 1938-3746

pISSN - 0022-1201

DOI - 10.1093/jof/97.12.44

Subject(s) - remote sensing , sample (material) , national forest , forest inventory , land cover , cover (algebra) , field (mathematics) , environmental science , environmental resource management , computer science , geography , land use , forestry , forest management , mechanical engineering , chemistry , civil engineering , mathematics , engineering , chromatography , pure mathematics

Remote sensing can improve efficiency of statistical information. Landsat data can identify and map a few broad categories of forest cover and land use. However, more-detailed information requires a sample of higher-resolution imagery, which costs less than field data but considerably more than Landsat data. A national remote sensing program would be a major undertaking, requiring unprecedented partnerships between federal programs and stakeholders.

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