四期青藏高原生态资产驱动要素数据集（2000-2020）

2000-2020四期青藏高原生态资产驱动要素数据集包含地形、气候、土壤、植被、人类活动、土地利用类型6类生态资产驱动要素。2000年至2015年的植被净值来自MOD17A3H数据集（https://lpdaac.usgs.gov/），空间和时间分辨率分别为1km和1a。数字高程模型（DEM）来自中国科学院资源与环境科学数据中心（http://www.resdc.cn/data.aspx）。青藏高原及周边地区229个气象站的数据，包括日降水量、日平均气温、日照时数等参数，均来自中国气象资料网（http://data.cma.cn/）。采用ArcGIS 10.3的Cokriging方法对年平均气温、年降水量、日照时数和积温进行插值，空间分辨率保持在1×1 km。用自然断点法将年平均降水量、积温、年平均温度、太阳辐射、海拔分为6级，将坡度和长宽分别分为9级和10级；将人口和GDP数据分为5级。使用Microsoft Excel去除异常值。此数据集可用于支持青藏高原地区生态环境、生态资产的研究。

The Four-period Ecological Asset Driving Factor Dataset of the Qinghai-Tibet Plateau from 2000 to 2020 includes six categories of ecological asset driving factors: topography, climate, soil, vegetation, human activities, and land use types. The net vegetation value from 2000 to 2015 is sourced from the MOD17A3H dataset (https://lpdaac.usgs.gov/), with spatial and temporal resolutions of 1 km and 1 year, respectively. The Digital Elevation Model (DEM) is obtained from the Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences (http://www.resdc.cn/data.aspx). Data from 229 meteorological stations in the Qinghai-Tibet Plateau and its surrounding areas, including daily precipitation, daily average temperature, sunshine duration and other parameters, are all from the China Meteorological Data Network (http://data.cma.cn/). The Cokriging method in ArcGIS 10.3 was used to interpolate annual average temperature, annual precipitation, sunshine duration and accumulated temperature, with the spatial resolution maintained at 1×1 km. The natural breakpoint method was applied to classify annual average precipitation, accumulated temperature, annual average temperature, solar radiation and elevation into 6 levels, slope and length-width ratio into 9 and 10 levels respectively; population and GDP data were classified into 5 levels. Outliers were removed using Microsoft Excel. This dataset can be used to support research on the ecological environment and ecological assets in the Qinghai-Tibet Plateau region.

搜集汇总

背景与挑战

背景概述

该数据集是2000-2020年青藏高原生态资产驱动要素的集合，涵盖地形、气候、土壤、植被、人类活动和土地利用类型六类关键因子，空间分辨率为100m-1km，时间跨度为多期（2000、2005、2010、2015年）。它通过整合多源数据（如MOD17A3H植被数据、气象站观测和DEM等），采用插值和分类方法处理，旨在支持青藏高原生态环境和生态资产的相关研究，数据格式以tif和Grid为主，便于地理信息系统分析使用。