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

Author

Listed:
  • Satomi Kimijima

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

  • Masayuki Sakakibara

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

  • Masahiko Nagai

    (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)

Abstract

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.

Suggested Citation

  • Satomi Kimijima & Masayuki Sakakibara & Masahiko Nagai, 2022. "Characterizing Time-Series Roving Artisanal and Small-Scale Gold Mining Activities in Indonesia Using Sentinel-1 Data," IJERPH, MDPI, vol. 19(10), pages 1-14, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6266-:d:820708
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    References listed on IDEAS

    as
    1. Satomi Kimijima & Masayuki Sakakibara & Abd. Kadir Mubarak A Amin & Masahiko Nagai & Yayu Indriati Arifin, 2020. "Mechanism of the Rapid Shrinkage of Limboto Lake in Gorontalo, Indonesia," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    2. Satomi Kimijima & Masayuki Sakakibara & Masahiko Nagai, 2022. "Investigation of Long-Term Roving Artisanal and Small-Scale Gold Mining Activities Using Time-Series Sentinel-1 and Global Surface Water Datasets," IJERPH, MDPI, vol. 19(9), pages 1-13, May.
    3. Satomi Kimijima & Masayuki Sakakibara & Masahiko Nagai, 2021. "Detection of Artisanal and Small-Scale Gold Mining Activities and Their Transformation Using Earth Observation, Nighttime Light, and Precipitation Data," IJERPH, MDPI, vol. 18(20), pages 1-12, October.
    4. Saldarriaga-Isaza, Adrián & Villegas-Palacio, Clara & Arango, Santiago, 2013. "The public good dilemma of a non-renewable common resource: A look at the facts of artisanal gold mining," Resources Policy, Elsevier, vol. 38(2), pages 224-232.
    5. Satomi Kimijima & Masayuki Sakakibara & Masahiko Nagai & Nurfitri Abdul Gafur, 2021. "Time-Series Assessment of Camp-Type Artisanal and Small-Scale Gold Mining Sectors with Large Influxes of Miners Using LANDSAT Imagery," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
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    1. Satomi Kimijima & Masayuki Sakakibara & Masahiko Nagai, 2022. "Investigation of Long-Term Roving Artisanal and Small-Scale Gold Mining Activities Using Time-Series Sentinel-1 and Global Surface Water Datasets," IJERPH, MDPI, vol. 19(9), pages 1-13, May.

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