# Evaluation and comparison of eight machine learning models in land use/land cover mapping using Landsat 8 OLI: a case study of the northern region of Iran

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluation-and-comparison-of-eight-machine-learning-models-in-land-use-land/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ali Jamali |
| Citations | 94 |
| DOI | 10.1007/s42452-019-1527-8 |
| Fields | Earth and Planetary Sciences,Engineering,Environmental Science |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://link.springer.com/content/pdf/10.1007/s42452-019-1527-8.pdf |
| OpenAlex ID | https://openalex.org/W2981869998 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Ali Jamali](https://scholariq.org/researchers/ali-jamali/)

## Paper primary topic

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

## Paper topics

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Remote Sensing and Land Use](https://scholariq.org/topics/remote-sensing-and-land-use/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.