TY  - JOUR
AU  - Huang, Shanyu
AU  - Miao, Yuxin
AU  - Zhao, Guangming
AU  - Yuan, Fei
AU  - Ma, Xiaobo
AU  - Tan, Chuanxiang
AU  - Yu, Weifeng
AU  - Gnyp, Martin
AU  - Lenz-Wiedemann, Victoria
AU  - Rascher, Uwe
AU  - Bareth, Georg
TI  - Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China
JO  - Remote sensing
VL  - 7
IS  - 8
SN  - 2072-4292
CY  - Basel
PB  - MDPI
M1  - FZJ-2015-05368
SP  - 10646 - 10667
PY  - 2015
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000360818800053
DO  - DOI:10.3390/rs70810646
UR  - https://juser.fz-juelich.de/record/203427
ER  -