date accessioned | 2020-03-12T22:55:18Z | |
date available | 2020-03-12T22:55:18Z | |
date issued | 2014 | |
identifier other | 7030097.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1099219?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | Session 3: Operation, optimization and servicing | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8240769 | |
subject keywords | remote sensing | |
subject keywords | n rivers | |
subject keywords | n vegetation | |
subject keywords | n AD 2012 06 25 to 08 24 | |
subject keywords | n ASTER images | |
subject keywords | n BLR algorithm | |
subject keywords | n Bayesian linear regression | |
subject keywords | n China | |
subject keywords | n Gansu province | |
subject keywords | n Heihe river basin | |
subject keywords | n Yingke irrigation districts | |
subject keywords | n averaged LAI value | |
subject keywords | n ground-truth LAI | |
subject keywords | n heterogeneous index | |
subject keywords | n heterogeneous land surface ground-truth | |
subject keywords | n moderate-resolution remote sensed LAI products | |
subject keywords | n two-step upscaling algorithm | |
subject keywords | n upscaled heterogeneous surface LAI | |
subject keywords | n upscaling in-situ leaf are | |
identifier doi | 10.1109/Agro-Geoinformatics.2014.6910621 | |
journal title | ustainable Technologies (WCST), 2014 World Congress on | |
filesize | 982779 | |
citations | 0 | |