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Idaho State University (2011)

Sagebrush Steppe Shrub Height and Canopy Cover Estimation Using LiDAR and Landsat 5 TM Data

Bond, PI

Titre : Sagebrush Steppe Shrub Height and Canopy Cover Estimation Using LiDAR and Landsat 5 TM Data

Auteur : Bond, PI

Université de soutenance : Idaho State University

Grade : Master of Science 2011

Résumé
This research explored the utility of Light Detection and Ranging (LiDAR) data and LiDAR- Landsat 5 Thematic Mapper (TM) data fusion for sagebrush steppe shrub classification in southwestern Idaho. The objectives were to determine : 1) the relationship between field-measured and LiDAR-derived shrub heights, 2) if LiDAR data could be used to accurately classify the varying shrub species based on height, 3) the relationship between LiDAR-derived and field-measured shrub canopy cover estimates, and 4) if LiDAR fusion with Landsat 5 TM data further improves canopy cover estimations. Field data were collected during the summer of 2010 in 100 field plots across three study areas. The results indicated there was a strong relationship between LiDAR-derived and fieldmeasured shrub heights (R2 = 0.685) across all three study areas. LiDAR generally underestimated shrub height by 33 cm. LiDAR-derived and field-measured shrub canopy cover estimates were significantly related (R2 = 0.282). This relationship was further improved by manually optimizing the ground/vegetation thresholds used in the LiDAR processing (R2 = 0.499). LiDAR generally underestimated shrub canopy cover with an average root mean square error (RMSE) of 12.86%. The fusion of LiDAR-derived canopy cover with Landsat 5 TM-derived components only slightly improved canopy cover estimates. Overall, these results provide important contributions of the utility of LiDAR-derived information for land management in sagebrush steppe.

Mots Clés : Canopy Cover, Landsat, LiDAR, Sagebrush Steppe, Shrub Height

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Page publiée le 31 décembre 2011, mise à jour le 19 septembre 2019