# Hyperspectral imagery reveals large spatial variations of heavy metal content in agricultural soil - A case study of remote-sensing inversion based on Orbita Hyperspectral Satellites (OHS) imagery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hyperspectral-imagery-reveals-large-spatial-variations-of-heavy-metal-content-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiaoai Dai,Zekun Wang,Shuxin Liu,Yuanzhi Yao,Rong Zhao,Tianyu Xiang,Tianzhang Fu,Haipeng Feng,Lixiao Xiao,Xianhua Yang,Shiming Wang |
| Citations | 60 |
| DOI | 10.1016/j.jclepro.2022.134878 |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4308191607 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Tianyu Xiang](https://scholariq.org/researchers/tianyu-xiang/)

## Paper journal

- [Journal of Cleaner Production](https://scholariq.org/journals/journal-of-cleaner-production/)

## Paper primary topic

- [Geochemistry and Geologic Mapping](https://scholariq.org/topics/geochemistry-and-geologic-mapping/)

## Paper topics

- [Geochemistry and Geologic Mapping](https://scholariq.org/topics/geochemistry-and-geologic-mapping/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Soil Geostatistics and Mapping](https://scholariq.org/topics/soil-geostatistics-and-mapping/)

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