AGROFORESTRY IN THE ALAS MERTAJATI OF BALI, INDONESIA. A CASE STUDY IN SUSTAINABLE SMALL-SCALE FARMING PRACTICES AND GEOAI

This paper describes new results from a land survey of the Alas Mertajati in Central Bali based on multi-spectral data collected from a new class of commercially available satellites. We use these assets to create the first representations of sustainable small-scale farming, agroforestry, in the study area. We describe the process of producing the results, specifically establishing ground truth for complex land cover and land use classes, and discuss how input from stakeholders can be included in the creation of these representations. Furthermore, we describe an open-source software environment developed to create our classification pipeline with a focus on shallow learners, collaborative workflows and intuitive visualization results. The text ends with a discussion of bad maps; maps that contain outdated data, and why such maps are now problematic, particularly in resource constrained contexts.