Vol16 No.9: 2001-2014
【Title】A method for determining vegetation growth process using remote sensing data: A case study in the Three-River Headwaters Region, China
【Author】CHEN Tian-tian; YI Gui-hua; ZHANG Ting-bin; WANG Qiang; BIE Xiao-juan
【Addresses】1 Institute of Mountain Hazards and Environment Chinese Academy of Sciences, Chengdu 610041, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China; 4 College of Management Science, Chengdu University of Technology, Chengdu 610059, China; 5 College of Earth Science, Chengdu University of Technology, Chengdu 610059, China; 6 Chongqing Institute of Surveying and Planning for Land Resources and Housing, Chongqing 400020, China
【Corresponding author】YI Gui-hua
【Citation】Chen TT, Yi GH, Zhang TB, et al. (2019) A method for determining vegetation growth process using remote sensing data: A case study in the Three-River Headwaters Region, China. Journal of Mountain Science 16(9). https://doi.org/10.1007/s11629-018-4982-6
【Abstract】Accurate measurements of the associated vegetation phenological dynamics are crucial for understanding the relationship between climate change and terrestrial ecosystems. However, at present, most vegetation phenological calculations are based on a single algorithm or method. Because of the spatial, temporal, and ecological complexity of the vegetation growth processes, a single algorithm or method for monitoring all these processes has been indicated to be elusive. Therefore, in this study, from the perspective of plant growth characteristics, we established a method to remotely determine the start of the growth season (SOG) and the end of the growth season (EOG), in which the maximum relative change rate of the normalized difference vegetation index (NDVI) corresponds to the SOG, and the next minimum absolute change rate of the NDVI corresponds to the EOG. Taking the Three-River Headwaters Region in 2000–2013 as an example, we ascertained the spatiotemporal and vertical characteristics of its vegetation phenological changes. Then, in contrast to the actual air temperature data, observed data and other related studies, we found that the SOG and EOG calculated by the proposed method is closer to the time corresponding to the air temperature, and the trends of the SOG and EOG calculated by the proposed method are in good agreement with other relevant studies. Meantime, the error of the SOG between the calculated and observed in this study is smaller than that in other studies.
【Keywords】Vegetation phenology; Normalized difference vegetation index (NDVI); Start of the growth season (SOG); End of the growth season (EOG); Three-River Headwaters Region (TRHR)