Forest Height and Aboveground Biomass Mapping by synergistic use of GEDI and Sentinel Data using Random Forest Algorithm in the Indian Himalayan Region
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12524-023-01792-z.pdf
Reference74 articles.
1. Andersen, H. E., Strunk, J., Temesgen, H., Atwood, D., & Winterberger, K. (2011). Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: A case study in the boreal forests of interior Alaska. Canadian Journal of Remote Sensing, 37(6), 596–611. https://doi.org/10.5589/m12-003
2. Asner, G. P., & Mascaro, J. (2014). Mapping tropical forest carbon: Calibrating plot estimates to a simple LiDAR metric. Remote Sensing of Environment, 140, 614–624. https://doi.org/10.1016/j.rse.2013.09.023
3. Baccini, A. G. S. J., Goetz, S. J., Walker, W. S., Laporte, N. T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P. S. A., Dubayah, R., Friedl, M. A., Samanta, S., & Houghton, R. (2012). Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change, 2(3), 182–185. https://doi.org/10.1038/nclimate1354
4. Baccini, A., Laporte, N., Goetz, S. J., Sun, M., & Dong, H. (2008). A first map of tropical Africa’s above-ground biomass derived from satellite imagery. Environmental Research Letters, 3(4), 045011. https://doi.org/10.1088/1748-9326/3/4/045011
5. Baret, F. (1989). TSAVI: A ävegetation index which minimizes soil brightness effects on LAI and APAR estimation. In 12th Canadian symp. on remote sensing and IGARSS'90, Vancouver, Canada, 10–14 July 1989.
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