用于第三次新疆科考专项天山北坡土地开发调查与生态环境效应评估项目（SQ2022xjkk02000），天山北坡近60年土地开发历史现状与优化对策调查课题（2022xjkk0905），希望使用该数据进行过去60年新疆天山北坡土地利用和社会经济变化的研究。

论文题目：Climate and topography jointly drive the vegetation greening in central Eurasian grasslands 数据在研究中的作用：Despite the extensive research conducted on climate’s significant impact on grasslands and how topography often has non-legible effects on grassland vegetation by altering local soil moisture or habitat temperature, the relative influence of climate and topography on vegetation remains largely unclear, especially in native grassland. We explored the vegetation greening pattern across different topographies in Xinjiang, a central Eurasian grassland, using MODIS Normalized Difference Vegetation Index (NDVI) data from 2000 to 2021. In our long-term observational experiment, we monitored climate factors (annual precipitation, AP; annual mean temperature, AMT; relative humidity, RH) and topography (elevation, ELE; aspect, ASP; topographic position index, TPI) to study their effects on grassland NDVI. We used Hierarchical Partitioning and Multi-Model Inference to assess the interactions between climate and topography across the region. Over the past 21 years, despite rising temperatures and precipitation levels, and although NDVI showed significant relationships with ASP and TPI, these did not make it to the final model. Climate factors had a greater influence on NDVI than topography. The combined effect of AP, AMT, and RH accounted for 41.62% of NDVI variations, while ELE only accounted for 14.99%. Importantly, despite of the statistical significance of four predictors, NDVI was more influenced by the interaction of climate and topography. The selected interaction variables (RH × ELE, AP × ELE, and AP × AMT) explained 43.45% of the grassland's NDVI, with RH × ELE being the most explanatory (23.21%). In conclusion, our study provides experimental evidence that climate and topography independently and interactively contribute to vegetation greening. It's critical to comprehend how vegetation feedback will evolve in future scenarios to enhance predictions of Earth's climate. Our results highlight the importance of the vegetation-climate-topography feedback loop and will contribute to creating more comprehensive and efficient climate mitigation and adaptation tactics. 论文类型：research artical 导师姓名：Deli Wang

论文题目：气候变化背景下天山垂直植被带的变迁 数据在研究中的作用：数据支持 论文类型：硕士论文 导师姓名：安成邦

论文题目：新建兵团对区域经济增长的影响 论文摘要： 论文类型： 导师姓名：王海港

论文题目：新疆森林碳储量及碳汇研究 论文摘要： 论文类型：硕士论文 导师姓名：吕光辉

参加职称评定，攥写职称论文，需下载数据做实验

用于分析项目对环境的影响，用于环评图件制作

用于项目环境影响分析，项目对周边生态影响。

用作2023年美国大学生数学建模竞赛数据

完成课程期末作业遥感看新疆，为后续课题组编撰《遥感看新疆》一书做准备