1. A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia
- Author
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null Hadi, Ping Yowargana, Muhammad Thoha Zulkarnain, Fathir Mohamad, Bunga K. Goib, Paul Hultera, Tobias Sturn, Mathias Karner, Martina Dürauer, Linda See, Steffen Fritz, Adis Hendriatna, Afi Nursafingi, Dian Nuraini Melati, F. V. Astrolabe Sian Prasetya, Ita Carolita, null Kiswanto, Muhammad Iqbal Firdaus, Muhammad Rosidi, and Florian Kraxner
- Subjects
Statistics and Probability ,Library and Information Sciences ,Statistics, Probability and Uncertainty ,Computer Science Applications ,Education ,Information Systems - 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.
- Published
- 2022