Computing landscape metrics in the Python ecosystem
-
Updated
Aug 19, 2024 - Python
Computing landscape metrics in the Python ecosystem
Materials for 2018 Tanintharyi land cover change analysis paper (De Alban et al. 2018. Remote Sensing).
Lecture materials and resources for ISPRS Student Consortium Summer School 2018.
Understanding land-system change in Myanmar.
Learning the Intensity Analysis framework (Aldwaik & Pontius 2012) using the intensity.analysis R package implementation.
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).
My PhD thesis conducted at the University of Sussex
Materials for 2020 Myanmar mangrove cover change analysis paper (De Alban et al. 2020. Environmental Research Letters).
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).
Land use/cover change analysis in Mindoro Island, Philippines.
Add a description, image, and links to the land-change-analysis topic page so that developers can more easily learn about it.
To associate your repository with the land-change-analysis topic, visit your repo's landing page and select "manage topics."