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- W2018780437 abstract "New forest inventory methods must be developed in order to create good conditions for decision‐making regarding ecological and economical issues in forestry. There are good field measurement methods to use, but they are often very expensive. Coherent all radio band sensing (CARABAS) is a newly developed synthetic aperture radar (SAR) sensor. It differs significantly from the earlier SARs by using longer wavelengths. The CARABAS sensor is more adapted to the scatterers of interest in the forest, due to its longer wavelengths. In this study, CARABAS imagery is compared with forest tree volume. Regression analysis was used to relate radar backscattering to forest tree volume. Due to the large range of incidence angle (45°‐68°), the CARABAS image had to be radiometrically relative‐calibrated. Radar backscattering from five forest stands with similar volume contents were plotted against the distance from the sensor. The plot revealed a linear relationship between these variables. By linear regression on that m..." @default.
- W2018780437 created "2016-06-24" @default.
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- W2018780437 date "1997-11-01" @default.
- W2018780437 modified "2023-09-25" @default.
- W2018780437 title "Extraction of forest tree volume from CARABAS SAR data" @default.
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- W2018780437 doi "https://doi.org/10.1080/02827589709355425" @default.
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