Profiling Land Use Planning: Legislative Structures in Five European Nations

This study explores the legal frameworks shaping land use in five European countries, identifying key gaps, inconsistencies, and implementation challenges. The insights aim to support policymakers and planners in promoting climate-resilient land use and more inclusive, integrated approaches to land management across Europe.

PyLM: A Python Implementation for Landscape Mosaic Analysis

Until recently, LM was only available through a specialised software package, which limits its flexibility, interaction with other tools, and integration in scientific workflows. To address this, a Pythonbased implementation of the LM model is presented by making it easier for researchers and conservationists to analyze land use/cover (LUC) maps, generate statistics, and embed results into broader environmental workflows. 

LandShift: Building Climate-Resilient Land Use Through Living Spaces

This short paper introduces LandShift’s approach to climate-resilient land-use management across Europe. It explains how the project combines community-led co-creation, Nature-Based Solutions, Earth Observation, AI, and open-access data tools to support five Living Spaces in France, Greece, Italy, Poland, and Ukraine in designing balanced land-use strategies that address climate mitigation, biodiversity protection, sustainable food production, and local needs.

Data Cubes and Living Earth in Landshift: Building
Interoperable Earth Observation Infrastructures for
Scalable Environmental Monitoring

This short paper presents LandShift’s development of a Data Ecosystem based on interoperable Earth Observation Data Cubes and standardised analytical environments. It focuses on modular and containerised infrastructures that can be consistently replicated across different regional contexts while remaining adaptable to local requirements.

Balancing Regional Land-Use Objectives: Indicators and Measurement Frameworks

This short paper explores how LandShift supports balanced regional land-use planning through measurable environmental, economic, social, and governance indicators. It presents key indicator categories and measurement frameworks, including MRV systems, Earth Observation, AI-driven analytics, Multi-Criteria Decision Analysis, and regional modelling through the project’s Living Spaces.

Establishing Regional Climate Baselines and Trusted Quality Control Practices

This short paper examines how LandShift assesses regional climate change and future projections across its five Living Spaces. It focuses on climate-data quality assurance, Shared Socio-economic Pathways, Köppen-Geiger climate classification, and climate-zone transition mapping to support robust, reproducible, and policy-relevant climate adaptation planning.

Multi-Actor Approaches for Land Use Policy and Community Engagement

This short paper presents LandShift’s multi-actor approach to land-use policy and community engagement. It explains how Living Spaces, Community Labs, and Policy Labs support inclusive participation, co-creation, co-governance, and the tailoring of nature-based solutions to regional environmental and socio-economic needs.