# Detecting Abandoned Cropland in Monsoon-Influenced Regions Using HLS Imagery and Interpretable Machine Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detecting-abandoned-cropland-in-monsoon-influenced-regions-using-hls-imagery-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sinyoung Park,Sanae Kang,Byungmook Hwang,Dongwook W. Ko |
| Citations | 1 |
| DOI | 10.3390/agronomy15122702 |
| Fields | Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.3390/agronomy15122702 |
| OpenAlex ID | https://openalex.org/W4416673069 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Byungmook Hwang](https://scholariq.org/researchers/byungmook-hwang/)

## Paper journal

- [Agronomy](https://scholariq.org/journals/agronomy/)

## 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/)
- [Land Use and Ecosystem Services](https://scholariq.org/topics/land-use-and-ecosystem-services/)

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