INVESTIGATING THE PERFORMANCE OF RANDOM FOREST AND SUPPORT VECTOR REGRESSION FOR ESTIMATION OF CLOUD-FREE NDVI USING SENTINEL-1 SAR DATA
- DOI
- 10.5194/isprs-archives-xliii-b3-2020-1379-2020
- Published
- 2020-08-22
- Container
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Publisher
- Copernicus GmbH
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5194/isprs-archives-xliii-b3-2020-1379-2020,
title = {INVESTIGATING THE PERFORMANCE OF RANDOM FOREST AND SUPPORT VECTOR REGRESSION FOR ESTIMATION OF CLOUD-FREE NDVI USING SENTINEL-1 SAR DATA},
author = {J. D. Mohite and S. A. Sawant and A. Pandit and S. Pappula},
year = {2020},
journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
doi = {10.5194/isprs-archives-xliii-b3-2020-1379-2020},
url = {https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1379-2020}
}RIS
TY - JOUR TI - INVESTIGATING THE PERFORMANCE OF RANDOM FOREST AND SUPPORT VECTOR REGRESSION FOR ESTIMATION OF CLOUD-FREE NDVI USING SENTINEL-1 SAR DATA AU - J. D. Mohite AU - S. A. Sawant AU - A. Pandit AU - S. Pappula PY - 2020 JO - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences DO - 10.5194/isprs-archives-xliii-b3-2020-1379-2020 UR - https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1379-2020 ER -
APA
Mohite, J. D., Sawant, S. A., Pandit, A., & Pappula, S. (2020). INVESTIGATING THE PERFORMANCE OF RANDOM FOREST AND SUPPORT VECTOR REGRESSION FOR ESTIMATION OF CLOUD-FREE NDVI USING SENTINEL-1 SAR DATA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1379-2020
Source records
- crossref · retrieved 2026-09-26T22:18:12.956Z