摘要1：随着GIS商业应用的不断发展，以及卫星遥感产业不断发展，GIS技术和遥感图像应用在区域规划和模拟区域环境已有较为广泛的研究。
实现区域环境的可视化环境下的空间信息和属性信息集成、模拟和预测, 为更多研究人员提供宏观监测方法，便于从宏观角度评估退耕还林样地在碳储备和水土保持方面所做贡献。
从宏观角度观测和模拟样地生物量变化和沟壑侵蚀强度, 将是区域规划与管理的未来重要发展趋势。
在先前宏观监测方面，已有学者在区域规划与管理中应用GIS技术和RS技术。
两项技术的结合和宏观模拟预测方法，利用信息技术为研究人员和决策人员提供便捷的预测和管理方法，将成为不变的潮流和趋势。
本文在分析了现有GIS技术与RS技术结合分别对生物量模型和侵蚀沟侵蚀模型的应用不足，阐述了用集成方法表述退耕还林样地贡献率的必要性。
作者对现有技术进行充分结合和利用，并进行改进,即在VS2005环境中利用C#语言，嵌套Arcengine模块进行开发，通过编程实现了黄土丘陵区三维图像显示，并模拟该区域退耕还林对当地环境的贡献率。
该系统中能够实现图像放大缩小漫游、模拟区域生物量变化及其他属性功能查询等功能，为决策者提供宏观可视信息。
摘要2：几十年来，极端天气的出现和影响范围之广已经备受关注。
因此全球气候变化已成为国际科学研究的热点问题。
众所周知，陆地生态系统与气候变化之间存在这密不可分的相互作用过程。
而陆地生态系统中，植被是最重要的、同时也是对气候变化最敏感的组分。
无论在全球尺度，还是在区域尺度上，植被动态变化通常是气候变化的关键驱动因子。
在中国，促进城市生态发展或者进行退耕还林工程改造已经变得尤为重要。
目前，在中国大部分地区，植被活动也呈增强趋势。
在大、中尺度的区域研究中,遥感方法是监测全球和区域植被变化的有效手段,利用遥感数据与方法分析植被的覆盖变化具有独特的优势并为其提供了可靠的实时数据源。
采用归一化植被指数(NDVI)来表征区域植被覆盖状况,它能很好地反映植被覆盖、生物量及生态系统参数的变化,与植被覆盖度呈正相关。
本文描述了通过GIS和RS技术结合，分析近几年青海省黄土丘陵区归一化植被指数(NDVI)，确定退耕还林对周围水环境、生态环境、大气环境等的效益影响，评价了退耕还林的生态效益。
结果表明，退耕还林使得青海黄土丘陵区气候条件较未采取退耕还林时有所改善，河流中泥沙含量减少，并且沟壑侵蚀减弱。
国家应该采取政策推行退耕还林建设。
Abstract 1: With the development of GIS’s business applications, and the industrial development of satellite remote sensing, it has been more widespread about GIS technology research and the application of remote sensing imaging in the regional planning and environmental simulation. It provide the macroscopic monitoring methods to realize the integration, the simulation and the prediction of the regional environmental spatial information and the attribute information. It becomes more convenient for researchers to estimate the contribution to carbon storage and soil and water conservation which is made by the returning farmland to forest. It will be the most important trend in regional planning and management in the future to observe and simulate the changing of modeling of biomass and gully erosion intensity.In the previous research of macro monitoring, more and more scholars have applied GIS technology and RS technology in regional planning and management. Prediction method of combining the two technologies, which is convenient for researchers and policy-makers to use the information technology which is forecast and management methods, will become the important trend. This paper analyses the shortcoming in combining GIS technology and RS technology with the application of biomass model and gully erosion model, and it expounds the necessity of expression the contribution that returning farmland has made. Coupling with existing technology application, the author has improved it. In VS2005，the author develop the technology the system by the means of coupling with the language called C# and ARCGIS engine module. It can realize the target that we observe the region called The Loess Hilly Region by Three-dimensional images, and then we can simulate the contribution which is made by returning farmland to forest. In this system, it can provide a decision method that through detecting macroscopic visual information. In addition, it can be zoomed in or zoomed out the image, simulated the changes in biomass and detected other functional properties.Abstract 2: For decades, the emergence and expansion of extreme weather has been cause for concern. Therefore, the global climate changing has become a hot issue in the international scientific research. As is known to all, there is an inseparable interaction between terrestrial ecosystem and climate changing. In the terrestrial ecosystem, vegetation is not only the most important, but also the most sensitive to climate changing. Regardless of scale whether is the global scale or regional scale, vegetation dynamics is usually the key driving factors of climate changing. In China, it has become particularly important to promote the development of urban ecological or returning farmland to forest engineering modifications.Currently, in most parts of China, it has showed increasing trend of vegetation activity. In large and medium scale regional studies, remote sensing methods for monitoring global and regional vegetation changes have become the effective means. And it provides the special advantage for analysing the vegetation cover changing to use remote sensing data and methods. Ti also provides a reliable real-time data source. The normalized differential vegetation index (NDVI) to characterize the regional vegetation cover, it is a good reflection of the vegetation cover, biomass, and ecosystem parameter changes, and vegetation coverage were positively correlated. This paper describes the combination of GIS and RS technology to analyze the normalized difference vegetation index (NDVI) of loess hilly region in Qinghai Province in recent years to determine the effectiveness from the returning farmland to the surrounding water environment, ecological environment, atmospheric environment, and estimate the benefits from the returning farmland to forest ecological. The results show that the Qinghai Loess Hilly Area Grain climatic conditions have become better and gully erosion weakened and sediment content decreased in river when compared with the past time. States should adopt policies to vigorously pursue Grain building the engineering of returning farmland to the forest.。