Monthly mean vegetation index and precipitation data set of Heihe River Basin (1961-2010)

The monthly average vegetation index data of Heihe River Basin is based on MODIS 1 km and 250 m NDVI products. From 250 m products, the grid value of Heihe River Basin is proposed as precision control, and the 1 km product is modified by HASM method. The monthly average vegetation index of Heihe River Basin from 2001 to 2011 was obtained by fusing multi-source NDVI data using HASM method. Resolution: 1km * 1kmThe average precipitation data set of Heihe River Basin adopts the data information of 21 meteorological conventional observation stations in Heihe River Basin and its surrounding areas and 13 national reference stations around Heihe River basin provided by Heihe planning data management center. The daily precipitation data of each station from 1961 to 2010 is calculated. If the coefficient of variation is greater than 100%, the daily precipitation distribution trend can be obtained by using the geographic weighted regression to calculate the relationship between the station and the geographical terrain factors; if the coefficient of variation is less than or equal to 100%, the relationship between the station precipitation value and the geographical terrain factors (longitude, latitude, elevation) is calculated by ordinary least square regression, and the daily precipitation score is obtained HASM (high accuracy surface modeling method) was used to fit and modify the residual error after removing the trend. Finally, the trend surface results and residual correction results are added to get the annual average precipitation distribution of Heihe River Basin from 1961 to 2010. Time resolution: annual average precipitation from 1961 to 2010. Spatial resolution: 500M.

黑河流域的月平均植被指数数据基于MODIS 1公里和250米NDVI产品。通过对250米产品中黑河流域的网格值进行精确控制，并采用HASM方法对1公里产品进行修正，从而获得了2001年至2011年期间黑河流域的月平均植被指数。数据分辨率：1公里×1公里。黑河流域的平均降水量数据集采用了黑河流域及其周边地区21个气象常规观测站和黑河流域周边13个国家参考站提供的数据信息。从1961年至2010年，计算了每个站的日降水量数据。若变异系数大于100%，则通过地理加权回归计算站点与地理地形因素之间的关系以获得日降水量分布趋势；若变异系数小于或等于100%，则通过普通最小二乘回归计算站点降水量值与地理地形因素（经度、纬度、海拔）之间的关系，并获取日降水量评分。HASM（高精度表面建模方法）用于拟合和修正去除趋势后的残差。最终，将趋势面结果和残差修正结果相加，得到1961年至2010年期间黑河流域的年平均降水量分布。时间分辨率：1961年至2010年的年平均降水量。空间分辨率：500米。