Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk
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%0 Journal Article
%1 MOLLER2017192
%A Möller, Markus
%A Gerstmann, Henning
%A Gao, Feng
%A Dahms, Thorsten Christian
%A Förster, Michael
%D 2017
%J CATENA
%K article Dahms LSFE
%P 192 - 205
%R http://dx.doi.org/10.1016/j.catena.2016.11.016
%T Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk
%U http://www.sciencedirect.com/science/article/pii/S0341816216304696
%V 150
@article{MOLLER2017192,
added-at = {2020-09-11T12:04:50.000+0200},
author = {Möller, Markus and Gerstmann, Henning and Gao, Feng and Dahms, Thorsten Christian and Förster, Michael},
biburl = {https://www.bibsonomy.org/bibtex/2a557dd2d30413e68a76d17185482ea63/earthobs_uniwue},
doi = {http://dx.doi.org/10.1016/j.catena.2016.11.016},
interhash = {38d98629b15e2624c6269d62754efbdd},
intrahash = {a557dd2d30413e68a76d17185482ea63},
issn = {0341-8162},
journal = {CATENA},
keywords = {article Dahms LSFE},
pages = {192 - 205},
timestamp = {2020-11-18T22:08:33.000+0100},
title = {Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk},
url = {http://www.sciencedirect.com/science/article/pii/S0341816216304696},
volume = 150,
year = 2017
}