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- W125087490 abstract "Monitoring growth patterns over large forest estates using field survey methods is a time-consuming and costly exercise. This study paper evaluates remotely sensed data to help monitor changes in Sitka spruce (Picea sitchensis) plantations in Britain using satellite and airborne laser scanning imagery. The results demonstrate that low-cost satellite image data from the Landsat Enhanced Thematic Mapper (ETM+) sensor can be used to predict and map forest height and basal area characteristics with a good level of accuracy for young crops. Regression analysis of contemporaneous remote sensing data and ground based forest structural measurements is used to predict height and basal area. These models can be applied to any radiometrically normalised image of the same area to give a quantitative description of observed growth in young crops between successive images. This helps to identify and quantify areas of anomalous growth. High resolution airborne laser scanner imagery gives excellent estimation of forest characteristics but is very expensive. These data can, however, be used both to complement field measurements to improve predictions from Landsat data and to assess their quality. We conclude that retrieval of forest structure information is best achieved by the integration of satellite, airborne and ground-based measurements." @default.
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- W125087490 date "2004-01-01" @default.
- W125087490 modified "2023-09-27" @default.
- W125087490 title "Remote sensing of growth dynamics of Sitka spruce plantation forests in upland Britain" @default.
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