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Short abstract:

Storytelling with code

Abstract:

The project explores the logics of GeoAI – the integration of geography and artificial intelligence – to unravel the web of dependencies between data and code in the making of AI models. Because of the instability of GeoAI, I follow a dual track development strategy that allows me to reflect on a territory as a humanist, while at the same time engaging with the territory through the very technical methods defining the territory under observation. The result is a cook-book, a companion book for code centric exploration that accompanies a traditional printed book. Topically, my inquiry is centered on the confluence of multi-spectral, high-resolution satellite sensor data, Geographic Information Systems and classification processes enabled by GeoAI at various levels of computational intensity. The project describes how daily updates from remote sensing assets in the sky create a novel paradigm of planetary assessment, and how this condition alters industries from desktop computing to agriculture, insurance, and compliance. Specifically, I describe field studies in Indonesia that demonstrate how the nexus of artificial intelligence and geospatial practices applied to mapping sustainable land use practices impact post-growth strategies and land use conflicts in the Alas Mertajati of Central Bali, Indonesia. I will show and tell the story of how GeoAI in the tropics came to be, and include with the cook-book a demonstration of the technical infrastructure that enables the first machine learning enabled local knowledge inclusive representation of agroforestry on the island of Bali. Code: https://github.com/realtechsupport/cocktail Cook: http://35.226.46.43:8501/