A multisensor, multidata approach to moderate resolution mapping of global vegetation: results from North Africa

Author

Hardin, Perry J. ; Jackson, Mark W.

Author_Institution

Center for Remote Sensing, Brigham Young Univ., Provo, UT, USA

Volume

5

fYear

2000

fDate

2000

Firstpage

1924

Abstract

Within the scientific community there is a great interest in accurately mapping global vegetation and monitoring its change. Most of the vegetation mapping done at coarse resolutions (1-4 km) is done with a single sensor such as AVHRR. In contrast, this research ultimately seeks to improve the quality of low-resolution AVHRR global vegetation maps by including scatterometer and elevation data. In supervised discrimination experiments conducted using imagery of North Africa, SeaWinds combined with AVHRR Channels 2 and 4 produced the highest classification accuracy among several possible variable combinations

Keywords

monitoring; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; AVHRR data; North Africa; SeaWinds; elevation data; global vegetation; moderate resolution mapping; monitoring; multisensor multidata approach; scatterometer data; supervised discrimination experiments; Africa; Crops; Databases; Earth; Image reconstruction; Instruments; Radar measurements; Remote monitoring; Sensor phenomena and characterization; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-6359-0

Type

conf

DOI

10.1109/IGARSS.2000.858181

Filename

858181