Journal Article

FZJ-2015-05368

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China

Huang, S. ; Miao, Y. (Corresponding author) ; Zhao, G. ; Yuan, F. ; Ma, X. ; Tan, C. ; Yu, W. ; Gnyp, M. ; Lenz-Wiedemann, V. ; Rascher, U. (Corresponding author)FZJ* ; Bareth, G.

2015
MDPI Basel

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Please use a persistent id in citations: http://hdl.handle.net/2128/9058  doi:10.3390/rs70810646

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.

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Contributing Institute(s):

1. Pflanzenwissenschaften (IBG-2)

Research Program(s):

1. 582 - Plant Science (POF3-582) (POF3-582)

Appears in the scientific report 2015

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Database coverage:
; ; ; ; Current Contents - Physical, Chemical and Earth Sciences ; IF < 5 ; JCR ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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