This opportunity is for research that moves beyond independent case studies to a capability that contributes to a design for an integrated framework for ongoing national climate assessments.

Esri and the United States Geological Survey (USGS) are pleased to announce the development of the highest spatial resolution ecological land units (ELUs) map of the world ever produced. The Global ELUs map portrays a systematic division and classification of ecological and physiographic information about land surface features. The work was commissioned by the intergovernmental Group on Earth Observations (GEO), and published in print by the Association of American Geographers (AAG).

The China- Brazil Earth Resources Satellite (CBERS-4) was launched on 7th December, 2014 at 03.26 UTC. The products from the new satellite will help to advance cartographic and remote sensing applications.

Ponette-González, A. G. K. A. Brauman, E. Marín-Spiotta, K. A. Farley, K. C. Weathers, K. R. Young, and L. M. Curran. 2014. Managing water services in tropical regions: From land cover proxies to hydrologic fluxes, Ambio. Published online 29 November 2014. DOI 10.1007/s13280-014-0578-8.

Grazing animals and logging trees in New Zealand could affect water quality there. These results could help guide water-friendly policy in New Zealand and other parts of the world according to scientists working to determine how water quality problems in the country relate to land use.

Grazing animals and logging trees in New Zealand could affect water quality there. These results could help guide water-friendly policy in New Zealand and other parts of the world according to scientists working to determine how water quality problems in the country relate to land use.

The Landsat 8 Surface Reflectance (SR) products are now available through the USGS-EROS Science Processing Architecture (http://espa.cr.usgs.gov/). If you have any questions, contact John Dwyer (dwyer@usgs.gov).

Landsat 8 Surface Reflectance (SR) products are now available through the USGS-EROS Science Processing Architecture (http://espa.cr.usgs.gov/). If you have any questions, contact John Dwyer (dwyer@usgs.gov).