Computing landscape metrics in the Python ecosystem
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Updated
Apr 27, 2026 - Python
Computing landscape metrics in the Python ecosystem
Materials for 2018 Tanintharyi land cover change analysis paper (De Alban et al. 2018. Remote Sensing).
Understanding land-system change in Myanmar.
Lecture materials and resources for ISPRS Student Consortium Summer School 2018.
Learning the Intensity Analysis framework (Aldwaik & Pontius 2012) using the intensity.analysis R package implementation.
My PhD thesis conducted at the University of Sussex
Materials for 2019 Tanintharyi land-cover regime shift paper (De Alban et al. 2019. Sustainability).
ALOS Kyoto & Carbon Initiative project on land use/cover change analysis using combined L-band SAR and Landsat data.
Land use/cover change analysis in Mindoro Island, Philippines.
This is a Python notebook giving an overview and implementing the accuracy assessments in *Good practices for estimating area and assessing accuracy of land change* by Olfosson et al. (2014).
Materials for 2020 Myanmar mangrove cover change analysis paper (De Alban et al. 2020. Environmental Research Letters).
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