Understanding of crop phenology using satellite-based retrievals and climate factors _ a case study on spring maize in Northeast China plain

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Shuai, Yanmin^1 ; Xie, Donghui^2 ; Wang, Peijuan^3 ; Wu, Menxin^4

ERT Inc., Biospheric Sciences Laboratory (Code 618), NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States^1

School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, China^2

Chinese Academy of Meteorological Sciences, Beijing, China^3

National Meteorological Center, Beijing, China^4

关键词: Agriculture regions;    Biological process;    Climate transition;    Continuous measurements;    Field observations;    Intergovernmental panel on climate changes;    Land surface phenology;    Terrestrial ecosystems;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012037/pdf
DOI  :  10.1088/1755-1315/17/1/012037

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Land surface phenology is an efficient bio-indicator for monitoring terrestrial ecosystem variation in response to climate change. Numerous studies point out climate change plays an important role in modulating vegetation phenological events, especially in agriculture. In turn, surface changes caused by geo-biological processes can affect climate transition regionally and perhaps globally, as concluded by Intergovernmental Panel on Climate Change (IPCC) in 2001. Large amounts of research concluded that crops, as one of the most sensitive bio-indicators for climate change, can be strongly influenced by local weather such as temperature, moisture and radiation. Thus, investigating the details of weather impact and the feedback from crops can help improve our understanding of the interaction between crops and climate change at satellite scale. Our efforts start from this point, via case studies over the famous agriculture region in the Northeast China's plain to examine the response of spring maize under temperature and moisture stress. MODIS-based daily green vegetation information together with frequent field specification of the surface phenology as well as continuous measurements of the routine climatic factors during seven years (2003-2009) is used in this paper. Despite the obvious difference in scale between satellite estimations and field observations, the inter- and intra-annual variation of maize in seven-years' growth was captured successfully over three typical spring maize regions (Fuyu, Changling, and Hailun) in Northeast China. The results demonstrate that weather conditions such as changes of temperature and moisture stress provide considerable contribution to the year-to-year variations in the timing of spring maize phenological events.