Remote Sens. 2010, 2(8), 1880-1891; doi:10.3390/rs2081880
Article

Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models

1 ASRC Research & Technology Solutions, Contractor to US Geological Survey Earth Resources Observation and Science Center, 47914 252nd Street, Sioux Falls, SD 57198, USA 2 US Geological Survey Earth Resources Observation and Science Center, 47914 252nd Street, Sioux Falls, SD 57198, USA
* Author to whom correspondence should be addressed.
Received: 26 June 2010; in revised form: 22 July 2010 / Accepted: 28 July 2010 / Published: 29 July 2010
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Abstract: This study identifies areas with ecosystem performance anomalies (EPA) within the Upper Colorado River Basin (UCRB) during 2005–2007 using satellite observations, climate data, and ecosystem models. The final EPA maps with 250-m spatial resolution were categorized as normal performance, underperformance, and overperformance (observed performance relative to weather-based predictions) at the 90% level of confidence. The EPA maps were validated using “percentage of bare soil” ground observations. The validation results at locations with comparable site potential showed that regions identified as persistently underperforming (overperforming) tended to have a higher (lower) percentage of bare soil, suggesting that our preliminary EPA maps are reliable and agree with ground-based observations. The 3-year (2005–2007) persistent EPA map from this study provides the first quantitative evaluation of ecosystem performance anomalies within the UCRB and will help the Bureau of Land Management (BLM) identify potentially degraded lands. Results from this study can be used as a prototype by BLM and other land managers for making optimal land management decisions.
Keywords: satellite remote sensing; MODIS NDVI; ecosystem performance; ecosystem performance anomalies; ecosystem models; climate data; land management

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MDPI and ACS Style

Gu, Y.; Wylie, B.K. Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models. Remote Sens. 2010, 2, 1880-1891.

AMA Style

Gu Y, Wylie BK. Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models. Remote Sensing. 2010; 2(8):1880-1891.

Chicago/Turabian Style

Gu, Yingxin; Wylie, Bruce K. 2010. "Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models." Remote Sens. 2, no. 8: 1880-1891.

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