Big Earth Data
This new issue contains the following articles:
- Rainfall variability in the Brazilian northeast biomes and their interactions with meteorological systems and ENSO via CHELSA product
- Insights into CODE-DE – Germany’s Copernicus data and exploitation platform
- On the isolatitude property of the rHEALPix Discrete Global Grid System
- A generalized supervised classification scheme to produce provincial wetland inventory maps: an application of Google Earth Engine for big geo data processing
- Identification and temporally-spatial quantification of geomorphic relevant changes by construction projects in loess landscapes: case study Lanzhou City, NW China
Big Earth Data, Volume 3, Issue 4, December 2019