A method for optical snow-cover mapping in sparse forest

Author

Vikhamar, Dagrun ; Solberg, Rune

Author_Institution

Dept. of Phys. Geogr., Oslo Univ., Norway

Volume

4

fYear

2000

fDate

2000

Firstpage

1769

Abstract

A snow-cover mapping method for sparse forest by optical remote sensing is proposed. The method is based on linear sub-pixel reflectance modeling of the surface components snow, individual tree species, tree shadows and bare ground. Experiments are performed using a 100% snow-covered Landsat TM scene and aerial photos covering spruce, pine and birch forest in the Jotunheimen mountain area of South Norway. The results show that sub-pixel modeling of snow in sparse forest is possible, but effects of topography and direct and diffuse illumination, which influence the reflectance variability, should be accounted for to improve the results

Keywords

hydrological techniques; remote sensing; snow; Jotunheimen mountain area; Landsat TM; Norway; bare ground; birch; boreal forest; hydrology; linear sub-pixel reflectance model; measurement technique; method; optical remote sensing; pine; snow-cover mapping; snowcover; snowpack; sparse forest; spruce; tree shadow; tree species; vegetation; visible region; Land surface; Layout; Lighting; Optical sensors; Reflectivity; Remote sensing; Satellites; Snow; Surface topography; 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.2000.857340

Filename

857340