Estimating above-ground biomass of trees outside forests using multi-frequency SAR data in the semi-arid regional landscape of southern India
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s41324-024-00582-0.pdf
Reference61 articles.
1. do Nascimento, D. M., Sales, A. T., Souza, R., da Silva, A. S. A., Sampaio, E. V. D. S. B., & Menezes, R. S. C. (2022). Development of a methodological approach to estimate vegetation biomass using remote sensing in the Brazilian semiarid NE region. Remote Sensing Applications: Society and Environment, 27, 100771. https://doi.org/10.1016/j.rsase.2022.100771.
2. Reddy, C. S., Satish, K. V., Saranya, K. R. L., Nitish Sri Surya, N., Neha, P. A., & Rajashekar, G. (2023). Harnessing essential biodiversity variables and remote sensing of earth observations - synthesizing biodiversity insights. Spatial Information Research. https://doi.org/10.1007/s41324-023-00558-6.
3. Eisfelder, C., Kuenzer, C., & Dech, S. (2011). Derivation of biomass information for semi-arid areas using remote-sensing data. International Journal of Remote Sensing, 33, 2937–2984. https://doi.org/10.1080/01431161.2011.620034.
4. Eisfelder, C., Klein, I., Bekkuliyeva, A., Kuenzer, C., Buchroithner, M. F., & Dech, S. (2017). Above-ground biomass estimation based on NPP time-series – A novel approach for biomass estimation in semi-arid Kazakhstan. Ecological Indicators, 72, 13–22. https://doi.org/10.1016/j.ecolind.2016.07.042.
5. Vafaei, S., Soosani, J., Adeli, K., Fadaei, H., Naghavi, H., Pham, T., et al. (2018). Improving Accuracy Estimation of Forest Aboveground Biomass based on incorporation of ALOS-2 PALSAR-2 and Sentinel-2A imagery and machine learning: A case study of the Hyrcanian Forest Area (Iran). Remote Sensing, 10, 172. https://doi.org/10.3390/rs10020172.
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