Extraction of vegetation disturbance range using aboveground biomass estimated from Sentinel-2 imagery in coal mining areas with high groundwater table
Author:
Funder
Research Project of Huaibei Mining (Group) Co., Ltd.
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-024-34456-7.pdf
Reference60 articles.
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3. Belgiu M, Drăguţ L (2016) Random forest in remote sensing: a review of applications and future directions. ISPRS J Photogramm Remote Sens 114:24–31. https://doi.org/10.1016/j.isprsjprs.2016.01.011
4. Breunig FM, Galvão LS, Dalagnol R, Dauve CE, Parraga A, Santi AL, Della Flora DP, Chen S (2020) Delineation of management zones in agricultural fields using cover–crop biomass estimates from PlanetScope data. Int J Appl Earth Obs Geoinformation 85:102004. https://doi.org/10.1016/j.jag.2019.102004
5. Chen C, Ma Y, Ren G, Wang J (2022) Aboveground biomass of salt-marsh vegetation in coastal wetlands: sample expansion of in situ hyperspectral and Sentinel-2 data using a generative adversarial network. Remote Sens Environ 270:112885. https://doi.org/10.1016/j.rse.2021.112885
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