Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing
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ناشر:
سال
: 2019شناسه الکترونیک: 10.1016/j.jag.2019.01.020
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:
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آمار بازدید
Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing
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contributor author | Carter, Corinne, and Shunlin Liang. | |
date accessioned | 2020-03-16T15:55:08Z | |
date available | 2020-03-16T15:55:08Z | |
date issued | 2019 | |
identifier issn | 0303-2434 | |
identifier other | OaUSiQoJZPAf9qzHEo8t8CGTaovk0YqovGfjvgqFS5pxVvmDJ9.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/2327598 | |
format | general | |
language | English | |
publisher | Elsevier BV | |
title | Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing | |
type | Journal Paper | |
contenttype | Fulltext | |
contenttype | Fulltext | |
identifier padid | 15363275 | |
identifier doi | 10.1016/j.jag.2019.01.020 | |
coverage | Academic | |
pages | 86-92 | |
filesize | 425047 | |
citations | 1 |