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).

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

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

[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