Use of Geostatistical Methods Involving Standard Deviation and Semivariogram to Assess the Accuracy of Water Surface Extraction by Supervised Classification-Reference-Cited by-同舟云学术

Use of Geostatistical Methods Involving Standard Deviation and Semivariogram to Assess the Accuracy of Water Surface Extraction by Supervised Classification

Published:2023-12-28 Issue: Volume: Page:
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Bendib Abdelhalim^ORCID,Boutrid Mohamed Lamine

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/s12524-023-01802-0.pdf

Reference36 articles.

1. Abbes, Z., & Jaber, H. S. (2020). Accuracy assessment of supervised classification methods for extraction land maps using remote sensing and GIS techniques. IOP Conference Series: Materials Science and Engineering, 745, 012166. https://doi.org/10.1088/1757-899X/745/1/012166

2. Abida, K., Barbouchi, M., Boudabbous, K., Toukabri, W., Saad, K., Bousnina, H., & Sahli Chahed, T. (2022). Sentinel-2 data for land use mapping: Comparing different supervised classifications in semi-arid areas. Agriculture, 12, 1429. https://doi.org/10.3390/agriculture12091429

3. Al-Ahmadi, F. S., & Hames, A. S. (2009). Comparison of four classification methods to extract land use and land cover from raw satellite images for some remote arid areas, Kingdom of Saudi Arabia. Earth Science, 20(1), 167–191.

4. Alam, A., Bhat, M. S., & Maheen, M. (2021). Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley. GeoJournal, 85, 1529–1543. https://doi.org/10.1007/s10708-019-10037-x

5. Alfares, W. (2013). Historical land use/land cover classification using remote sensing a case study of the Euphrates River Basin in Syria. Springer. https://doi.org/10.1007/978-3-319-00624-6