Applications of Satellite Remote Sensing

Follow Us:    |   Share:

Data Sets (2 of 56) View All

Ancillary Data, v1 (1998 – 2007)

Indicators of Coastal Water Quality

To provide data that can assist in the extraction and analysis of chlorophyll-a concentration and trends from global grids.

Annual Chlorophyll-a Concentration, v1 (1998 – 2007)

Indicators of Coastal Water Quality

To provide a gridded version of existing SeaWiFS data in GIS-compatible formats in order to determine concentrations of chlorophyll-a in the coastal water column and to facilitate the integration with other data.

Map Gallery (4 of 244) View All

Probability of HBASE Class, 2010

Map: Probability of HBASE Class, 2010
Hi-Resolution: PDF | PNG

HBASE Extent, 2010

Map: HBASE Extent, 2010
Hi-Resolution: PDF | PNG

GMIS Standard Error Impervious Surface Percentage, 2010

Map: GMIS Standard Error Impervious Surface Percentage, 2010
Hi-Resolution: PDF | PNG

GMIS Impervious Surface Percentage, 2010

Map: GMIS Impervious Surface Percentage, 2010
Hi-Resolution: PDF | PNG

Featured Data Uses (2 of 4) View All

Mapping Population and Geographic Data

The New Security Beat

In this blog for the Center Environmental and Security Program (ECSP), CIESIN deputy director Marc Levy talks with ECSP director Geoff Dabelko about using the Gridded Population of the World (GPW) data product to aid in combining population and geographic data.

Fire Activity and Net Primary Productivity

Global Ecology and Biogeography

In moist regions around the globe, fire activity is believed to be driven by drought frequency, whereas in dry regions, fire is thought to be limited by the amount of fuel available.  Researchers recently tested these ideas by comparing global fire activity as detected by the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) sensor with measures of vegetation such as net primary productivity from the Human Appropriation of Net Primary Productivity (HANPP) data collection available from SEDAC and the Normalized Difference Vegetation Index (NDVI) derived from NOAA satellite data.  Although fire activity is indeed limited by droughts in moist areas and by fuel in dry regions, human activities—specifically tropical rain forest deforestation and fire suppression policies in the western U.S.—also strongly influence fire activity.