内蒙古2001~2020年植被气候学数据集

Yating Shao, Juanle Wang
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引用次数: 0

摘要

植被酚学是反映全球气候变化和植被生长的敏感指标之一。内蒙古是蒙古高原生态安全屏障的重要组成部分,是我国资源开发、环境保护和生态安全的重点地区。研究内蒙古植被的酚学变化,对于了解内蒙古气候变化和极端气候事件的特征具有重要意义。基于高空间分辨率MOD13Q1数据产品中的归一化植被指数(NDVI),我们使用谷歌地球引擎平台对MODIS-NDVI原始数据进行格式转换、投影转换和裁剪处理,并导出了2000年至2021年的NDVI长时间序列数据。然后,我们采用动态阈值方法获得了2001年至2020年内蒙古植被表型的数据集。该数据集分辨率为250米,包含了2001年至2019年内蒙古生长季开始(SOS)、生长季结束(EOS)和生长季长度(LOS)的遥感监测数据。它可以为了解内蒙古植被酚学的时空变化及其对气候变化的响应提供数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A dataset of vegetation phenology of Inner Mongolia (2001-2020)
Vegetation phenology is one of the sensitive indicators reflecting global climate change and vegetation growth. Inner Mongolia is an important part of the ecological security barrier of the Mongolian Plateau, and a key area for resource development, environmental protection and ecological security in China. The study on the vegetation phenological changes of Inner Mongolia is of great significance for understanding the characteristics of climate change and extreme climate events in Inner Mongolia. Based on the normalized differential vegetation index (NDVI) in the high-spatial resolution MOD13Q1 data product, we used Google Earth Engine platform to process MODIS-NDVI raw data for format conversion, projection conversion and clipping, and exported NDVI long time series data from 2000 to 2021. Then, we adopted the dynamic threshold method to obtain a dataset of vegetation phenology of Inner Mongolia from 2001 to 2020. With a resolution of 250 m, this dataset contains remote sensing monitoring data of the start of growing season (SOS), the end of growing season (EOS), and the length of growing season (LOS) in Inner Mongolia from 2001 to 2019. It can provide data support for understanding the temporal and spatial variation of vegetation phenology in Inner Mongolia and its response to climate change.
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