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 learn

SUBMITTER: Hadi 

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

REPOSITORIES: biostudies-literature