Phenology Model of Oil Palm Plantation Based on Biophysical Parameter on Sentinel-1A Using Multiple Linear Regression (MLR)
Author:
Funder
Kementerian Riset, Teknologi dan Pendidikan Tinggi
Lembaga Pengelola Dana Pendidikan
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12524-024-01973-4.pdf
Reference94 articles.
1. Ang, Y., & Lee, Y. P. (2022). Oil Palm Yield Prediction Across Blocks Using Multi-Source Data and Machine Learning. Research Square. https://www.researchsquare.com/article/rs-1938493/v1?utm_source=researcher_app&utm_medium=referral&utm_campaign=RESR_MRKT_Researcher_inbound
2. Argamosa, R. J., Blanco, A. C., Baloloy, A. B., Candido, C. G., Dumalag, J. B., Dimapilis, L. L., & Paringit, E. C. (2018). Modelling above ground biomass of mangrove forest using sentinel-1 imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4(3), 13–20. https://doi.org/10.5194/isprs-annals-IV-3-13-2018
3. Attarchi, S., & Gloaguen, R. (2014). Improving the estimation of above ground biomass using dual polarimetric PALSAR and ETM+ data in the Hyrcanian mountain forest (Iran). Remote Sensing, 6(5), 3693–3715. https://doi.org/10.3390/rs6053693
4. Avtar, R., Ishii, R., Kobayashi, H., Fadaei, H., Suzuki, R., & Herath, S. (2013). Efficiency of multi-frequency, multi-polarized SAR data to monitor growth stages of oilpalm plants in Sarawak, Malaysia. In International Geoscience and Remote Sensing Symposium (IGARSS), 2137–2140. https://doi.org/10.1109/IGARSS.2013.6723236
5. Avtar, R., Suab, S. A., Syukur, M. S., Korom, A., Umarhadi, D. A., & Yunus, A. P. (2020). Assessing the influence of UAV altitude on extracted biophysical parameters of young oil palm. Remote Sensing. https://doi.org/10.3390/RS12183030
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