TY - JOUR
T1 - Multi-sensor analyses of vegetation indices in a semi-arid environment
AU - Théau, Jérôme
AU - Sankey, Temuulen
AU - Weber, Keith
N1 - Funding Information:
This study was made possible by a grant from the National Aeronautics and Space Administration Goddard Space Flight Center (NNG06GD82G). Idaho State University would also like to acknowledge the Idaho Delegation for their assistance in obtaining this grant. J. Théau also acknowledges support from Le Fonds Québécois de la Recherche sur la Nature et les Technologies (FQRNT).
PY - 2010/4/1
Y1 - 2010/4/1
N2 - Multi-sensor comparisons are sometimes used due to limited image availability and temporal coverage by a single sensor. However, multi-sensor comparability is not well documented. Factors affecting direct comparability such as atmospheric conditions, landscape heterogeneity, landscape changes, and sensor characteristics are difficult to quantify. This study compared several vegetation indices (VIs) from multi-sensor data to determine if VIs are comparable across scales and sensors. Within-sensor comparisons demonstrate that VIs are consistent across spatial resolutions indicating a direct multi-scale comparability. However, among-sensor comparisons indicate that VIs calculated from different sensors are not comparable with one another regardless of spatial resolution. Sensor-specific characteristics appear to offer the best explanation for the observed results.
AB - Multi-sensor comparisons are sometimes used due to limited image availability and temporal coverage by a single sensor. However, multi-sensor comparability is not well documented. Factors affecting direct comparability such as atmospheric conditions, landscape heterogeneity, landscape changes, and sensor characteristics are difficult to quantify. This study compared several vegetation indices (VIs) from multi-sensor data to determine if VIs are comparable across scales and sensors. Within-sensor comparisons demonstrate that VIs are consistent across spatial resolutions indicating a direct multi-scale comparability. However, among-sensor comparisons indicate that VIs calculated from different sensors are not comparable with one another regardless of spatial resolution. Sensor-specific characteristics appear to offer the best explanation for the observed results.
UR - http://www.scopus.com/inward/record.url?scp=77954708532&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954708532&partnerID=8YFLogxK
U2 - 10.2747/1548-1603.47.2.260
DO - 10.2747/1548-1603.47.2.260
M3 - Article
AN - SCOPUS:77954708532
SN - 1548-1603
VL - 47
SP - 260
EP - 275
JO - GIScience and Remote Sensing
JF - GIScience and Remote Sensing
IS - 2
ER -