Title :
Vegetation classification using seasonal variations at C- and Ku-band
Author :
Watt, Gardner ; Hardin, Perry ; Long, David G.
Author_Institution :
MERS Lab., Brigham Young Univ., Provo, UT, USA
Abstract :
Using C-band data (h-pol) from the ERS-2 AMI scatterometer and Ku-band data (dual-pol) from the NASA Scatterometer we study the seasonal signatures of key vegetation classes in North America. We compare the seasonal responses of vegetation types defined by both Matthew´s classification and the University of Maryland AVHRR-based classification. We then use the seasonal response in a series of vegetation classification experiments
Keywords :
image classification; radar imaging; remote sensing by radar; spaceborne radar; vegetation mapping; C-band; ERS-2 AMI scatterometer data; Ku-band; Matthew classification; NASA Scatterometer data; North America; University of Maryland AVHRR-based classification; seasonal response; seasonal variations; vegetation classification; Ambient intelligence; Backscatter; Instruments; Laboratories; NASA; North America; Polarization; Radar measurements; Soil; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.774439
