Full text: Proceedings of the international symposium on remote sensing for observation and inventory of earth resources and the endangered environment (Volume 3)

hoto- 
‚ich mit der 
ber die Zu- 
cht vorgenommen 
Chnee in 
lassiert 
n dadurch 
sste, weil, 
e in Schatten- 
fe der 
d an den 
ekt er- 
nee oder 
net werden. 
n definiert, 
 eliminieren 
er 1 % 
nem um- 
ein, dass 
en Nachbars 
ist, auch 
Sichtver- 
s noch so 
ann, Ich 
e Resultate 
dass man 
nn, SO 
ie daraus 
nwendung 
  
    
  
  
    
  
   
   
  
   
  
  
   
     
  
   
  
   
  
  
  
  
  
  
   
     
   
   
    
   
  
  
  
  
  
   
  
   
  
  
     
Literatur: 
FASLER,F.,1978:1BIS,ein interaktives Bildinterpretationssystem; 
Publikation zum ISP-IUFRO-Symposium Freiburg 
GFELLER,R.E.,1975:Untersuchungen zur automatisierten Schneeflächen- 
bestimmung mit Multispektral-Aufnahmen des Erderkundungssatelliten 
ERTS-1; Diss. UNI Zürich 
sin Models; ISPRA COURSES, Advanced 
ons in Agriculture and Hydrology 
MARTINEC,J.,1977:Hydrologic Ba 
Seminar on Remote Sensing Applicati 
MURI,R.,1976:Automatisierte Trennung von Schnee und Wolken im Satelliten- 
bild; Diplomarbeit UNI Zürich 
Abstract 
For an accurate forecasting runoff models were developed to better utilize 
and manage the water for hydroelectric power generation and agricultural 
land-use. One of the most important parameters in predicting runoff is 
the areal extent of the snowcover. 
Multispectral satellite imagery (i.e. LANDSAT) provides sufficient details 
for an operational monitoring of the snowcover . Several possibilities of 
snow mapping techniques from satellite data are used. In addition to the 
traditional optical-mechanical method and the improved optical-electronical 
method with an interactive analyzer system, automated digital classifi- 
cation methods exist. Due to its accuracy and possibilities to reproduce 
the results only the latter methods shall be discussed further. The inter- 
active system IBIS connected with an IBM-370-155 computer allows the pre- 
processing, the statistical evaluation and the processing with different 
algorithms of a very big amount of data. 
The objective is to determine the acreage of the snowcover within very 
short time in order to incorporate the results in a runoff forecasting 
model. The image processing methods have to be improved further regar- 
ding its cost-benefit relation, to not only achieve a better accuracy 
but to reduce expenses as well.
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.