Mapping Forest Height with Multifrequency SAR, InSAR, and Multispectral Datasets
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63851-0_22
Reference19 articles.
1. Gomez, C., et al.: Canopy height estimation in mediterranean forests of spain with TanDEM-X data. IEEE J. Selected Topics Appli. Earth Observat. Remote Sensing 14, 2956–2970 (2021). https://doi.org/10.1109/JSTARS.2021.3060691
2. Parache, H.B., et al.: Estimating forest stand height in Savannakhet, Lao PDR using inSAR and backscatter methods with L-band SAR data. Remote Sens. 13(22), 1–22 (2021). https://doi.org/10.3390/rs13224516
3. Bruggisser, M., et al.: Potential of sentinel-1 c-band time series to derive structural parameters of temperate deciduous forests. Remote Sens. 13(4), 1–30 (2021). https://doi.org/10.3390/rs13040798
4. Frey, O., Meier, E.: Analyzing tomographic SAR data of a forest with respect to frequency, polarization, and focusing technique. IEEE Trans. Geosci. Remote Sens. 49(10 PART 1), 3648–3659 (2011). https://doi.org/10.1109/TGRS.2011.2125972
5. Mao, Y., et al.: Retrieval of boreal forest heights using an improved random volume over ground (Rvog) model based on repeat-pass spaceborne polarimetric sar interferometry: The case study of saihanba, china. Remote Sens. 13(21) (2021). https://doi.org/10.3390/rs132143068
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