Gallery-Remote Sensing

Fig. 1. Example of remote-sensing images used to assess flooding regimes on the Connecticut River. a) Additive image of ETM+ bands 4 and 7 for September; b) same for April; c) slope layer; d) composite image (R:G:B = September:April:slope. Areas of flooding are in pink. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Fig. 2. Extraction of spring flooded areas, Northampton, MA. a) original imagery of September 2001; b) original imagery of April 2001; c) composite image; d) binary grid, with darker areas representing areas of overbank flooding.

 Fig. 3. Example output of the ecological condition model for longleaf pine sandhills at Eglin AFB, Florida, scaled to 1-ha monitoring units for a) 2001, and b) 2007. Tier 1 represents high-quality sandhills while Tier 4 reflects degraded sandhills.

 Fig. 4. a) Change in longleaf pine condition tier by area (ha) from 2001 to 2007 at Eglin AFB as assessed by the ecological condition model. b) A matrix showing how the tier values of Eglin's 1-ha management units transitioned from 2001 to 2007. For example, 7703 ha moved from Tier 2 to Tier 1 over the time period. Shaded cells indicate 1-ha management units that did not experience a change in condition from 2001 to 2007 (total of 80,141 ha).

 Fig. 5. Flow chart summarizing the spatial modeling approach used to assess the ecological condition of longleaf pine sandhills across Eglin AFB.

 Fig. 5. Flow chart summarizing the spatial modeling approach used to assess the ecological condition of longleaf pine sandhills across Eglin AFB.

All images are from
Wiens J., Sutter R., Anderson M., Blanchard J., Barnett A., Aguilar-Amuchastegui N., Avery C., Laine S.(2009) "Selecting and conserving lands for biodiversity: The role of remote sensing" Remote Sensing of Environment, 113 (7), pp. 1370-1381.