GenIA for land management

Purpose

GenIA for land management aims to support better land management decisions by combining AI with image-based and satellite-based information to propose options that enhance biodiversity, particularly in contexts where reforestation choices may otherwise rely on planting a single tree species.

Primary users

The primary user is not specified. The final solution using satellite imagery to assess biodiversity is described as being addressed to the public sector, due to the high cost of satellite images for private actors.

Where it fits (process/stage/trigger)

GenIA for land management fits into land management and reforestation planning processes, especially when actors need to evaluate biodiversity-focused options before making decisions about how land should be restored or managed.

Key capabilities / workflow

The agent uses AI combined with images, prompts, and potentially satellite imagery to analyze land-related biodiversity context, validate whether available imagery is usable, and generate land management options intended to improve biodiversity outcomes.

Inputs

Typical inputs include user-provided prompts, images, and satellite imagery when available. Additional datasets are not specified.

Outputs / Deliverables

The expected output is a set of land management options or recommendations designed to enhance biodiversity. Other deliverables are not specified.

Value

GenIA for land management helps avoid overly simplistic reforestation approaches, such as planting only one tree species, by supporting biodiversity-oriented land management decisions with AI-assisted analysis.