1. Detecting Changes of Wheat Vegetative Growth and Their Response to Climate Change Over the North China Plain
- Author
-
Sisi Wang and Zhengjia Liu
- Subjects
Atmospheric Science ,Heading (navigation) ,010504 meteorology & atmospheric sciences ,Vegetative reproduction ,business.industry ,Phenology ,Crop yield ,0211 other engineering and technologies ,Climate change ,02 engineering and technology ,Biology ,01 natural sciences ,Normalized Difference Vegetation Index ,Agriculture ,sense organs ,Stage (hydrology) ,Physical geography ,Computers in Earth Sciences ,business ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences - Abstract
Wheat vegetative growth, defined as the stage from green-up date to heading date (STAGE), is a crucial phrase, which largely affects crop yield. Previous some studies mainly focused on site-based changes of STAGE. However, there are few studies concerning large-scale changes of STAGE, which limits our understanding of regional changes of STAGE in response to climate change. Here, we introduced robust satellite-based phenological algorithms as well as third-generation global inventory modeling and mapping studies normalized difference vegetation index for the period of 1982–2015 to spatially derive winter wheat green-up date, heading date, and STAGE over croplands of the North China Plain (NCP). Changes of STAGE and their response to climate change were then investigated. Results showed that a strong predicted ability of introduced heading date algorithm was observed with r of 0.88 ( p R 2 = 0.11, p = 0.06). Stage of 23.4% cropland pixels performed significantly lengthened trends ( p r = 0.59, p < 0.01). This study highlights important roles of remote sensing data and satellite-based phenological algorithms for regional crop growth monitoring and management.
- Published
- 2018