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Crop residues are an important biomass, and are significant in the sustainable development of China. This paper uses the Grey-Markov modeling approach, the cost-benefit analysis method, and the constraint optimization method to establish the potential of crop residue recycling in China (CRRC) using a bottom-up analysis. Taking 2010 as the baseline year, the CRRC model is used to determine the quantity trends of crop residue resources, simulating the recycling potential and selecting key crop residue recycling technologies for operation between 2010 and 2030. The results illustrate that the total residue output from different crops will gradually increase to 1062 million tons in 2030. The proportion of crop residue for field burning is expected to decrease as a result of guidance and support from the government. Market mechanisms are also improving the development of the crop residue recycling industry. The economic benefit of crop residue recycling is expected to be worth 132 billion CNY in 2030 according to technology structure options. Key crop residue recycling technologies preferred such as liquefaction, amination, silo, co-firing straw power and composting will account for more than 85% of the total benefits.

以黑龙江省造林树种选择为例，通过林业空间信息的综合分析和图像处理，生成主要造林立地因子的迭合矢量图怪；为了适用于可视化查询和析，利用遥感和地理信息系统手段，生成与遥感影像相迭加的EDM立体模型；建立适用于网络运行的空间信息库和造林专家知识库；采用ESRI ARCIMS网络地理信息系统（WEB GIS）对象模型的二次开发，建立在Internet网络环境下运行的适地适树系统；实现林业空间信息、专家知识信息等的多种数据融合，以及空间信息的网络表达、分析和决策。