DocumentCode
3062936
Title
Creating an historical land cover data set for the Wimmera region, Victoria, Australia from the USGS Landsat archive
Author
Sheffield, Kathryn ; Morse-McNabb, Elizabeth M.
Author_Institution
Future Farming Syst. Res. Div., Dept. of Environ. & Primary Ind., Carlton, VIC, Australia
fYear
2013
fDate
21-26 July 2013
Firstpage
2649
Lastpage
2652
Abstract
The availability of the USGS Landsat archive, which spans nearly 40 years, has presented many opportunities for land cover mapping [1]. This study aimed to develop an approach using the USGS Landsat archive to produce land cover maps which could be used to assess changes in land cover over time. The study area was located in the Wimmera region of north-western Victoria, Australia. Initially, Normalized Vegetation Difference Index (NDVI) was used to generate coarse land cover maps of water, bare ground and low and high vegetation cover. These classes were refined using a Multiple Endmember Spectral Mixing Analysis (MESMA) approach. The production of this baseline data now presents opportunities for further investigation of land management, land cover changes and trends, and links to other biophysical data such as soil characteristics.
Keywords
land cover; vegetation; Australia; MESMA approach; Multiple Endmember Spectral Mixing Analysis; NDVI; Normalized Vegetation Difference Index; USGS Landsat archive; Wimmera region; biophysical data; historical land cover data set; land cover changes; land cover maps; land management investigation; north-western Victoria; soil characteristics; vegetation cover; Agriculture; Australia; Earth; Remote sensing; Satellites; Soil; Vegetation mapping; agriculture; image classification; multispectral imaging; remote sensing; vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723367
Filename
6723367
Link To Document