Characterizing Time-Series Roving Artisanal and Small-Scale Gold Mining Activities in Indonesia Using Sentinel-1 Data.

Indonesia alluvial mining artisanal and small-scale gold mining landcover change remote sensing synthetic aperture radar

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
21 05 2022
Historique:
received: 21 04 2022
revised: 17 05 2022
accepted: 18 05 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 1 6 2022
Statut: epublish

Résumé

The rapid growth of roving mining camps has negatively influenced their surrounding environment. Although artisanal and small-scale gold mining (ASGM) is a major source of gold production, the mining activities and their activeness are not well revealed owing to their informal, illegal, and unregulated characteristics. This study characterizes the transformations of roving camp-type ASGM (R-C-ASGM) activities in Central of Katingan Regency, Central Kalimantan Province, Indonesia, from 2015 to 2021 using remotely sensed data, such as the time-series Sentinel-1 dataset. The results show that the growth of active R-C-ASGM sites was identified at the center of the Galangan mining region with expansions to the northwest part along the Kalanaman River, especially in 2021. Hence, these approaches identify the transformations of roving mining activities and their active or nonactive status even in tropical regions experiencing frequent heavy traffic rainstorms. They provide significant information on the socioenvironmental risks possibly caused at local and regional levels. Our results also inform the design of timely interventions suited to local conditions for strengthening environmental governance.

Identifiants

pubmed: 35627803
pii: ijerph19106266
doi: 10.3390/ijerph19106266
pmc: PMC9140676
pii:
doi:

Substances chimiques

Gold 7440-57-5
Mercury FXS1BY2PGL

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Satomi Kimijima (S)

Research Institute for Humanity and Nature, Kyoto 603-8047, Japan.

Masayuki Sakakibara (M)

Research Institute for Humanity and Nature, Kyoto 603-8047, Japan.
Graduate School of Science & Engineering, Ehime University, Matsuyama 790-8577, Japan.

Masahiko Nagai (M)

Graduate School of Science and Technology for Innovation, Yamaguchi University, Ube 755-8611, Japan.
Center for Research and Application of Satellite Remote Sensing, Yamaguchi University, Ube 755-8611, Japan.

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Classifications MeSH