Spatial analysis for radar remote sensing of tropical forests
著者
書誌事項
Spatial analysis for radar remote sensing of tropical forests
（SAR remote sensing）
CRC Press, 2021
- : hbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Uniquely focused on specific techniques that provide multi-resolution spatial and temporal analysis of forest structure characteristics and changes.
Examines several large and important international remote sensing projects aimed at documenting entire tropical ecosystems.
Provides novel wavelet methods for tropical forest structural measures.
Includes Python code for a suite of wavelet based time-series and single set InSAR coherence and backscatter speckle filters, available to download.
目次
PART I - SARCHEOLOGY: The Era of the big Radar Mosaics.
The Dawn of The Radar Mosaics Era: The ESA-JRC Central Africa Mosaic Project. The L-Band Breed: The GRFM Africa Radar Mosaic. The CAMP-GRFM Thematic Products. Evolution of The Species: The ALOS PALSAR Africa Mosaic.
PART II - Measures of SAR Random Fields in the Scale-Space-Time Domain.
The Stuff Backscatter Random Fields are Made of. Statistical Measures of SAR Random Spatial Fields: Fingerprints of Forest Structure. Hitting Corners: The Lipschitz Regularity, a Measure of Discontinuities in Radar Images Connected with Forest Spatial Distribution. The Beauty Farm: A Wavelet Method for Edge Preserving Piece-Wise Smooth Approximations Of Radar Images. The Cleaning Service: A Multi-Temporal Insar Coherence Magnitude Filter. Proxies of Forest Volume Loss and Gain by Differencing Insar Dsms: Fingerprints Of Forest Disturbance.
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