Mapping Annual Cropping Pattern from Time-Series MODIS EVI Using Parameter-Tuned Random Forest Classifier-Reference-Cited by-同舟云学术

Mapping Annual Cropping Pattern from Time-Series MODIS EVI Using Parameter-Tuned Random Forest Classifier

Published:2023-03-30 Issue:5 Volume:51 Page:983-1000
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Praveen Alex,Jeganathan C.^ORCID,Mondal Saptarshi^ORCID

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/s12524-023-01676-2.pdf

Reference78 articles.

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4. Atkinson, P. M., Jeganathan, C., Dash, J., & Atzberger, C. (2012). Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology. Remote Sensing of Environment, 123, 400–417. https://doi.org/10.1016/j.rse.2012.04.001

5. Belgiu, M., & Drăguţ, L. (2016). Random forest in remote sensing: A review of applications and future directions. ISPRS Journal of Photogrammetry and Remote Sensing, 114, 24–31. https://doi.org/10.1016/j.isprsjprs.2016.01.011

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