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@ARTICLE{Huang:203427,
author = {Huang, Shanyu and Miao, Yuxin and Zhao, Guangming and Yuan,
Fei and Ma, Xiaobo and Tan, Chuanxiang and Yu, Weifeng and
Gnyp, Martin and Lenz-Wiedemann, Victoria and Rascher, Uwe
and Bareth, Georg},
title = {{S}atellite {R}emote {S}ensing-{B}ased {I}n-{S}eason
{D}iagnosis of {R}ice {N}itrogen {S}tatus in {N}ortheast
{C}hina},
journal = {Remote sensing},
volume = {7},
number = {8},
issn = {2072-4292},
address = {Basel},
publisher = {MDPI},
reportid = {FZJ-2015-05368},
pages = {10646 - 10667},
year = {2015},
abstract = {Rice farming in Northeast China is crucially important for
China’s food security and sustainable development. A key
challenge is how to optimize nitrogen (N) management to
ensure high yield production while improving N use
efficiency and protecting the environment. Handheld
chlorophyll meter (CM) and active crop canopy sensors have
been used to improve rice N management in this region.
However, these technologies are still time consuming for
large-scale applications. Satellite remote sensing provides
a promising technology for large - scale crop growth
monitoring and precision management. The objective of this
study was to evaluate the potential of using FORMOSAT-2
satellite images to diagnose rice N status for guiding
topdressing N application at the stem elongation stage in
Northeast China. Satellite Remote Sensing-Based In-Season
Diagnosis of Rice Nitrogen Status in Northeast China.},
cin = {IBG-2},
ddc = {620},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {582 - Plant Science (POF3-582)},
pid = {G:(DE-HGF)POF3-582},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000360818800053},
doi = {10.3390/rs70810646},
url = {https://juser.fz-juelich.de/record/203427},
}