Dataset Information

A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia.

ABSTRACT: Here we present a geographically diverse, temporally consistent, and nationally relevant land cover (LC) reference dataset collected by visual interpretation of very high spatial resolution imagery, in a national-scale crowdsourcing campaign (targeting seven generic LC classes) and a series of expert workshops (targeting seventeen detailed LC classes) in Indonesia. The interpreters were citizen scientists (crowd/non-experts) and local LC visual interpretation experts from different regions in the country. We provide the raw LC reference dataset, as well as a quality-filtered dataset, along with the quality assessment indicators. We envisage that the dataset will be relevant for: (1) the LC mapping community (researchers and practitioners), i.e., as reference data for training machine learning algorithms and map accuracy assessment (with appropriate quality-filters applied), and (2) the citizen science community, i.e., as a sizable empirical dataset to investigate the potential and limitations of contributions from the crowd/non-experts, demonstrated for LC mapping in Indonesia for the first time to our knowledge, within the context of complementing traditional data collection by expert interpreters.

SUBMITTER: Hadi

PROVIDER: S-EPMC9482649 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia.

Hadi Yowargana Ping P Zulkarnain Muhammad Thoha MT Mohamad Fathir F Goib Bunga K BK Hultera Paul P Sturn Tobias T Karner Mathias M Dürauer Martina M See Linda L Fritz Steffen S Hendriatna Adis A Nursafingi Afi A Melati Dian Nuraini DN Prasetya F V Astrolabe Sian FVAS Carolita Ita I Kiswanto Firdaus Muhammad Iqbal MI Rosidi Muhammad M Kraxner Florian F

Scientific data 20220917 1

Here we present a geographically diverse, temporally consistent, and nationally relevant land cover (LC) reference dataset collected by visual interpretation of very high spatial resolution imagery, in a national-scale crowdsourcing campaign (targeting seven generic LC classes) and a series of expert workshops (targeting seventeen detailed LC classes) in Indonesia. The interpreters were citizen scientists (crowd/non-experts) and local LC visual interpretation experts from different regions in th ...[more]

PMID: 36115866

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Dataset Information

A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia.

Publications

A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia.

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