Data products

We use Sentinel 1 and 2 imagery to reliably map three types of confinement areas: (a) large feedlots, (b) other concentrated animal feeding operations, and (c) supplementary feeding areas.

We developed an approach to capture the complex and contested nature of land use by mapping it as social-ecological systems that can overlap in space and mapped it for Dry Chaco and Chiquitano Forests in South America.

We mapped cropland abandonment, declining grazing pressure and rural outmigration in the steppes of northern Kazakhstan. Our aggregate human influence index can help create new protected areas in the steppe.

We mapped the potential habitat of the Eurasian lynx, using a weighted combination of local, site-specific habitat models and a continental-scale animal tracking database (450 individuals from 14 study sites).

We developed and mapped a novel set of metrics to describe archetypical patterns of frontier expansion in Chaco, pertaining to the speed, the diffusion and activity of deforestation, as well as post-deforestation land use.

We used a Gradient Boosted Regression framework to test the relative gains of combining optical (MODIS) and radar (Sentinel 1) time series, as well as lidar-based (GEDI) canopy-height data, to map biomass in tropical dry forests of Chaco.

Using high-resolution satellite images across the entire South American Gran Chaco, a global deforestation hotspot, we digitize individual forest-smallholder homesteads (n = 23,954) and track their dynamics between 1985 and 2015.

We used the Landsat satellite image archive to reconstruct land-use change in the Chaco over the past 30 years. The change maps highlight widespread and rapid forest loss across the Chaco.

Using the fallow/active time series based on MODIS Normalised Difference Vegetation Index, we mapped fallow frequency and hotspots of farmland abandonment and recultivation of unused farmland in Europe.