Earth Observation for Sustainable Development
Trend analysis by eLEAF, based on the FAO WapOR database https://wapor.apps.fao.org
Trend analysis by eLEAF, based on the FAO WapOR database https://wapor.apps.fao.org
Land cover mapping produced by supervised classification of Sentinel-2 time series
Land cover mapping produced by supervised classification of Sentinel-2 time series
Land cover mapping produced by supervised classification of Sentinel-2 time series
Land cover mapping produced by supervised classification of Sentinel-2 time series
Linear trend calculated from MODIS 250m data from 2000-2016
Linear trend calculated from MODIS 250 m 16-DAY NDVI time series (MOD13Q1) from 2000-2017. Only the data from the growing season was used. Quality flags were used remove bad pixels with snow/ice and cloud coverage.
Data produced in the FAO WapOR database https://wapor.apps.fao.org
Data produced in the FAO WapOR database https://wapor.apps.fao.org
Data produced in the FAO WapOR database https://wapor.apps.fao.org
Data produced in the FAO WapOR database https://wapor.apps.fao.org
Data produced in the FAO WapOR database https://wapor.apps.fao.org
Data produced in the FAO WapOR database https://wapor.apps.fao.org
Data produced in the FAO WapOR database https://wapor.apps.fao.org
Data produced in the FAO WapOR database https://wapor.apps.fao.org
Data produced in the FAO WapOR database https://wapor.apps.fao.org
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
PiMapping® (Energy balance modelling)
Monthly Biomass production 2013 and 2017
Monthly biomass production 2013 and 2017
We work towards the application of GeoScience in real decision contexts, such as climate change adaptation, hydrological effects of changes in climate and land cover, targeting of agroforestry interventions, provision of soil fertility and surveillance advisory services for smallholder farmers, digital soil and land use/cover mapping, and measuring impacts of interventions, all using open source software.