Title :
A search for the optimum combination of spatial resolution and vegetation indices
Author :
Seo, Dong-Jo ; Park, Chong-Hwa ; Park, Jong-Hyun ; Tateishi, Ryutaro
Author_Institution :
Graduate Sch. of Environ. Studies, Seoul Nat. Univ., South Korea
Abstract :
Different vegetation indices were used to compare statistical characteristics of the multi-spatial resolution image sets. These image sets have been constructed to eight resolution levels from degrading 1 meter resolution image and 30 meter resolution satellite image, Landsat-TM. Vegetation indices, Normalized Difference Vegetation Index (NDVI), Perpendicular Vegetation Index (PVI), Soil Adjusted Ratio Vegetation Index (SARVI) and Transformed Soil Adjusted Vegetation Index (TSAVI), were applied. There exists the specific level that the coefficient of variation decreased rapidly in all of vegetation indices. It means the attribute of the original image changed greatly at this level. This may be accepted as the critical point of the optimal spatial resolution when the authors transform, analysis and extract information from multi-spatial resolution image sets
Keywords :
geophysical signal processing; geophysical techniques; remote sensing; IR; Landsat-TM; NDVI; Normalized Difference Vegetation Index; PVI; Perpendicular Vegetation Index; SARVI; Soil Adjusted Ratio Vegetation Index; TSAVI; Transformed Soil Adjusted Vegetation Index; geophysical measurement technique; image processing; infrared; multi-spatial resolution image set; multispectral remote sensing; optical imaging; optimum combination; spatial resolution; statistical characteristics; vegetation index; vegetation mapping; visible; Data mining; Degradation; Image analysis; Image resolution; Information analysis; Remote sensing; Satellites; Soil; Spatial resolution; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.692462