<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Stoms, D. M.</style></author><author><style face="normal" font="default" size="100%">Hargrove, W. W.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Potential NDVI as a baseline for monitoring ecosystem functioning</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Remote Sensing</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">AVHRR</style></keyword><keyword><style  face="normal" font="default" size="100%">California</style></keyword><keyword><style  face="normal" font="default" size="100%">GAP</style></keyword><keyword><style  face="normal" font="default" size="100%">managed areas</style></keyword><keyword><style  face="normal" font="default" size="100%">NDVI</style></keyword><keyword><style  face="normal" font="default" size="100%">net primary production</style></keyword><keyword><style  face="normal" font="default" size="100%">NPP</style></keyword><keyword><style  face="normal" font="default" size="100%">Oregon</style></keyword><keyword><style  face="normal" font="default" size="100%">regression tree analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">time integrated NDVI</style></keyword><keyword><style  face="normal" font="default" size="100%">Washington</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">&lt;Go to ISI&gt;://000084681200014</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">401-407</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Baseline data are needed to determine the overall magnitude and direction of change in ecosystem functioning. This letter presents an approach to estimate potential NDVI from environmental variables and training data of actual NDVI in nature reserves. Patterns of deviations of actual NDVI from the baseline generally correspond with land-use types in the western United States.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Stoms, D. M.</style></author><author><style face="normal" font="default" size="100%">Kuhn, W. A.</style></author><author><style face="normal" font="default" size="100%">Davis, F. W.</style></author><author><style face="normal" font="default" size="100%">Final Report to the Environmental Protection Agency, C. A. pp</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Acquisition and Evaluation of Data Sets for Comparative Assessment of Risk to Biodiversity on a Continental Scale: Threats to Biodiversity</style></title></titles><keywords><keyword><style  face="normal" font="default" size="100%">anthropogenic effects</style></keyword><keyword><style  face="normal" font="default" size="100%">biodiversity</style></keyword><keyword><style  face="normal" font="default" size="100%">NDVI</style></keyword><keyword><style  face="normal" font="default" size="100%">potential NDVI</style></keyword><keyword><style  face="normal" font="default" size="100%">rare species</style></keyword><keyword><style  face="normal" font="default" size="100%">species richness</style></keyword><keyword><style  face="normal" font="default" size="100%">stressors</style></keyword><keyword><style  face="normal" font="default" size="100%">West Cosat Transect</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">September 30, 19</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of California, Santa Barbara</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">[]</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Stoms, D. M.</style></author><author><style face="normal" font="default" size="100%">Bueno, M. J.</style></author><author><style face="normal" font="default" size="100%">Davis, F. W.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Viewing geometry of AVHRR image composites derived using multiple criteria</style></title><secondary-title><style face="normal" font="default" size="100%">Photogrammetric Engineering and Remote Sensing</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">AVHRR</style></keyword><keyword><style  face="normal" font="default" size="100%">cloud removal</style></keyword><keyword><style  face="normal" font="default" size="100%">compositing</style></keyword><keyword><style  face="normal" font="default" size="100%">NDVI</style></keyword><keyword><style  face="normal" font="default" size="100%">Normalized Difference Vegetation Index</style></keyword><keyword><style  face="normal" font="default" size="100%">satellite zenith angle</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1997</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">&lt;Go to ISI&gt;://A1997XC40700004</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">63</style></volume><pages><style face="normal" font="default" size="100%">681-689</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The U. S. Geological Survey currently generates composites of AVHRR imagery based on a single objective--maximizing the Normalized Difference Vegetation Index--as a means of reducing cloud contamination. Our research supports the findings of others that in some cases, NDVI is maximized at the expense of optimal viewing geometry; that is, satellite zenith angles are often further off-nadir than necessary to ensure cloud-free viewing. We explore various compositing methods by systematically varying weights on NDVI, satellite zenith angle, and maximum apparent temperature. A test composite of California from September 1990 appears to be superior to the maximum NDVI and maximum apparent temperature composites in several respects. First, the satellite zenith angle distribution is more closely clustered about nadir, which minimizes atmospheric path length, spatial distortion, and bidirectional reflectance effects. Second, neighboring pixels are more frequently selected with similar viewing geometry and atmospheric conditions.</style></abstract></record></records></xml>