A review of underlying topography estimation over forest areas by InSAR: Theory, advances, challenges and perspectives

摘要: The paramount importance and multi-purpose applications of underlying topography over forest areas have gained widespread recognition recent decades, bringing about a variety experimental studies on accurate mapping. highly spatial temporal dynamics scenarios makes traditional measuring techniques difficult to construct the precise surface. Microwave remote sensing has been demonstrated as promising technique retrieve large within limited period, including synthetic aperture radar interferometry (InSAR), polarimetric InSAR (PolInSAR) tomographic SAR (TomoSAR). In this paper, firstly, main principle digital elevation model (DEM) generation by data acquisition area are introduced. Following that, several methods extraction based InSAR, PolInSAR, TomoSAR introduced analyzed, well their performance discussed afterwards. Finally, four aspects challenge highlighted, acquisition, error compensation correction, scattering reconstruction solution strategy multi-source data, which needs be further addressed for robust estimation.