Satellite-based estimation of growing season framing dates, weather instability aspect

Panidi, Evgeny; Rykin, Ivan; Tsepelev, Valery

doi:10.1007/s12517-020-05409-4

Cited by 2 publications

(1 citation statement)

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“…These studies all defined the growing season on a monthly scale. Meanwhile, some studies used the methods of remote sensing phenology to conduct more detailed research on the growing season and refine the beginning and end of the growing season to the scale of days [85][86][87]. However, because it is difficult to obtain NDVI and its corresponding climate grid data covering the whole region on the day scale, few studies use NDVI daily data to synthesize the GSNDVI and seasonal NDVI based on the phenological calculation results.…”

Section: Time Lag Effect Of the Ndvi Response To Climatic Factors In ...mentioning

confidence: 99%

Seasonal Variation of Vegetation and Its Spatiotemporal Response to Climatic Factors in the Qilian Mountains, China

et al. 2022

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The purpose of this study is to reveal the seasonal difference in vegetation variation and its seasonal response to climate factors in the Qilian Mountains (QM) under the background of global warming. Based on the MOD13 A2 normalized difference vegetation index (NDVI) data and meteorological data, this study analyzed the spatiotemporal dynamics and stability of vegetation in different seasons by using the mean value method, trend analysis and stability analysis method, and discussed their seasonal responses to climatic factors based on the correlation analysis method. The results show that the vegetation cover in the QM experienced a significant upward trend in the past 21 years, but there were obvious spatial differences in vegetation change in different seasons. The growth rate of vegetation in summer was the fastest, and summer vegetation provided the most significant contribution to the growing season vegetation. The order of vegetation stability in the QM among the seasons was growing season > summer > spring > autumn. The vegetation change was obviously affected by temperature in spring, while it was mainly controlled by precipitation in the growing season and summer. The response of vegetation to climatic factors was not significant in autumn. Our results can provide important data support for ecological protection in the QM and socioeconomic development in the Hexi Corridor.

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Section: Time Lag Effect Of the Ndvi Response To Climatic Factors In ...mentioning

confidence: 99%