短时间间隔的土地利用变化监测

传统的土地利用变化监测方法已无法完全满足当前经济的快速发展和城市急剧扩张的要求,利用光学遥感数据对地观测也受到天气和云层覆盖等诸多因素的限制。而Radarsat-1等雷达遥感数据可以在"全天候"的条件下对地表进行观测。论文以Radarsat-1图像获取的24 d时间周期为最短时间间隔,分析了24 d、48 d和72 d时间间隔下的土地利用变化监测,对短时间间隔内的土地利用变化监测的结果进行了总结。监测的结果需要在精度与时间间隔之间做出取舍。对于大部分的情况,24 d的时间间隔已可以得到60%以上精度的结果,部分月份的监测需要48 d的监测时间间隔。若需要更高的精度,则需要72 d甚至更长。     

Microbial diversity of soil bacteria in agricultural field contaminated with heavy metals

In this study we evaluated the bacterial diversity in a soil sample from a site next to a chemical industrial factory previously contaminated with heavy metals. Analysis of 16S rDNA sequences amplified from DNA directly extracted from the soil revealed 17 different bacterial types （genera and/or species）. They included Polyangium spp., Sphingomonas spp., Variovorax spp., Hafina spp., Clostridia, Acidobacteria, the enterics and some uncultured strains. Microbes able to tolerate high concentrations of cadmium （500μmol/L and above） were also isolated from the soil. These isolates included strains of Acinetobacter （strain CD06）, Enterobacter sp. （strains CD01, CD03, CD04 and CD08） （similar strains also identified in culture-independent approach） and a strain of Stenotrophomonas sp. The results indicated that the species identified from direct analysis of 16S rDNA of the soil can be quite different from those strains obtained from enrichment cultures and the microbial activities for heavy metal resistance might be more appropriately addressed by the actual isolates.     

单元自动演化模型自动生成农田保护区的研究

我国已进入了快速城市化的时期,许多城市都在制定和实施农田保护区计划．本文提出了利用单元自动演化模型、地理信息系统与遥感等技术相结合的新方法来自动生成农田保护区,获得了十分令人满意的结果．该方法可以为政府部门和规划工作者提供一种科学制定农田保护区的新手段,大大节省人力、物力．并能获得农田保护区在空间的优化分布,这是常规方法所不能比拟的．