lucc

Python framework for reproducible discrete spatial simulation: models, raster and vector backends, a declarative executor and verifiable experiment records.

Understanding land-system change in Myanmar.

ALOS Kyoto & Carbon Initiative project on land use/cover change analysis using combined L-band SAR and Landsat data.

Materials for 2019 Tanintharyi land-cover regime shift paper (De Alban et al. 2019. Sustainability).

Land use/cover change analysis in Mindoro Island, Philippines.

Materials for 2020 Myanmar mangrove cover change analysis paper (De Alban et al. 2020. Environmental Research Letters).

Documentation of the 2000-2024 maps of Land Use and Land Cover in Amazonia

Reference outputs of lulcc 1.0.4 (R) for the Plum Island Ecosystems application of Moulds et al. (2015), generated in a pinned Docker image, for replication in ReScience C

QGIS plugin to build DisSCube grids and pipeline files (TOML) on the map, aligned with the Brazil Data Cube tiles

[Re] lulcc (Moulds et al., 2015): replication of the Plum Island Ecosystems application in Python with DisSModel and DisSLUCC, for ReScience C

Land Use and Cover Change (LUCC) modeling — continuous and discrete allocation — on top of dissmodel