falko-buschke

Organisations de civic tech

Data and R code to analyse mammals activity patterns

Mammal-activity-patterns

Climate-change-and-demographic-resilience

SOPACA

Ensembles de données

gitHub

Luca Battistella

WebGIS development lecture for the University of Padua - GIScience Master 

webgis_master

Results from time-series analysis of Landsat images characterizing forest extent and change.  Trees are defined as vegetation taller than 5m in height and are expressed as a percentage per output grid cell as ‘2000 Percent Tree Cover’. ‘Forest Cover Loss’ is defined as a stand-replacement disturbance, or a change from a forest to non-forest state, during the period 2000–2016. ‘Forest Cover Gain’ is defined as the inverse of loss, or a non-forest to forest change entirely within the period 2000–2012. ‘Forest Loss Year’ is a disaggregation of total ‘Forest Loss’ to annual time scales.  Reference 2000 and 2016 imagery are median observations from a set of quality assessment-passed growing season observations.

GoogleEarthEngine-Global-Forest-Change

Back end server installation for running the Marxan Web app. 

marxan-server

twitter

A gateway to data and information on Africa's social, economic, territorial and environmental development.

Africa Knowledge Platform