%0 Journal Article
%A Huang, Shanyu
%A Miao, Yuxin
%A Zhao, Guangming
%A Yuan, Fei
%A Ma, Xiaobo
%A Tan, Chuanxiang
%A Yu, Weifeng
%A Gnyp, Martin
%A Lenz-Wiedemann, Victoria
%A Rascher, Uwe
%A Bareth, Georg
%T Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China
%J Remote sensing
%V 7
%N 8
%@ 2072-4292
%C Basel
%I MDPI
%M FZJ-2015-05368
%P 10646 - 10667
%D 2015
%X 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.
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000360818800053
%R 10.3390/rs70810646
%U https://juser.fz-juelich.de/record/203427