基于GIS的城镇土地定级信息系统建模方法探讨

基于GIS的城镇土地定级信息系统在建设过程中,定级方法确定、定级单元大小确定和定级因素/子权重值的生成是关键,且三者都具有不同的确定方法,因此选择什么样的方法决定了系统建立的优劣。本文着重归纳、总结了城镇土地定级信息系统定级方法,通过对比分析,探讨了最优定级方法、最优网格单元大小划分方法和最优因素/子权重值计算方法。     

我国西部1∶5万地形图空白区地物解译研究——以西藏那曲其香错地区为例

我国西部部分地区1∶5万地形图数据尚未完成,给区域和国家经济发展带来极大不便。空间技术、计算机技术和信息技术的高速发展为遥感技术应用提供了技术支持,高分辨率影像获取能力的提高为大比例尺地物特征的提取提供了数据可能。本文采用SPOT5遥感影像,以1∶5万地形图图式标准为依据,进行青藏高原其香错地区地物判读,结果表明SPOT5能基本满足1∶5万地形图制图要求。为进一步提高判读结果,可采用多时相、多分辨率影像进行1∶5万地形图地物判读。     

多时相组合分类法在土地利用动态监测中的应用

介绍了土地利用遥感动态监测的基本概念，简述了遥感土地利用变化信息提取等遥感监测方法．重点探讨了多时相组合分类方法的相关技术。对广西2002年和2003年两个时相的MODIS数据．采用多时相直接分类法对土地利用变化状况进行了遥感动态监测。对不同方式波段组合的试验表明。经过差值、比值处理的波段组合具有较差的试验效果(总体精度只有30％～40％)，而经过PCA变换的波段组合则具有相对较好的试验效果(总体精度超过70％)。     

玛纳斯河一级电站引水渠沿线提取地下水进行融冰的可行性研究

通过对向斜洼地含水层水文地质特征的勘探及研究,对研究区的水文地质边界条件进行了概化,并用水均衡法估算了地下水资源量,对拟建一级电站引水渠沿线提取地下水进行融冰的可行性进行了研究,并提出了取水方案.     

甜水海微陆块上二叠系地层的厘定及其特征

笔者在《岔路口》等四幅1：25万区域地质调查工作中，在红山湖一带从前人所划的石炭系地层中解体出一套二叠系地层，并对其进行了详细的岩石地层、生物地层和层序地层研究，拟新命名为红山湖组，时代为中二叠世。该地层为甜水海微陆块上稳定型的碳酸盐岩建造，与陆块南北两侧二叠系特征截然不同。该套地层的发现填补了微陆块上二叠系地层的空白，对古特提斯多岛洋研究具有重要意义。     

青海湖地区生态环境动态变化遥感监测

由于青海湖地区的生态环境较为脆弱，且人类活动进一步加剧，人口、资源与环境的矛盾日渐突出，因此，近年来．青海湖及其周边地区的生态环境出现了明显变化，主要表现在水位下降及水域面积减小、草原退化、沙质荒漠化土地面积扩大等。文章采用1975年MSS卫星图像及1987、2000年TM卫星图像作为遥感信息源，并结合地理信息系统方法，旨在查明青海满地区耕地、沙质荒漠化土地和水域等生态环境要素的时空演化规律，为青海湖地区实现资源开发与环境协调发展提供科学依据。监测结果表明，25a来，青海湖地区的耕地及沙质荒漠化土地面积出现明显的扩大，而水域面积出现明显缩小，同时由于湖周各河流土壤侵蚀的加剧，在部分河流入湖处泥沙淤积较为严重，生态环境出现明显恶化。     

从地质遥感迈向国土资源普查

概略回顾了中国20世纪遥感地质的辉煌成就,列举4项重大突破:极块构造的论证与线性形迹分析,数字地质与找矿、第四纪地质与地貌学的新发现、工程地质选线与选址。指出21世纪面对国土普查的新任务,需要加强遥感信息机理研究,信息融合与共享,学科交叉,社会经济统计空间分析的能力,关注探月计划与遥感制图。     

淮河流域土壤湿度异常的时空分布特征及其与气候异常关系的初步研究

利用中国东部1990~2000年旬平均土壤湿度、降水和气温观测资料，通过对0~50 cm层次土壤湿度进行旋转主分量分析 (REOF)，重点分析了淮河流域土壤湿度的时空分布特征, 并初步研究了土壤湿度与前期、同期和后期不同时段降水与气温的关系。发现春季以30 cm为界，30 cm以上各层土壤湿度异常的第一旋转空间模态十分相似, 其大值中心主要位于淮河流域，而30 cm以下 (30~50 cm) 各层的第二旋转空间模态与之亦十分类似, 因此称该模态为“淮河型”，而夏季和秋季虽然该模态也很显著, 但特征不如春季突出。该模态在各层次土壤中具有明显的持续性特征，均存在40旬左右的显著周期；并与前期和同期降水（气温）呈显著正 (负) 相关关系，与约半年后的降水 (气温) 呈负 (正) 相关关系。     

Exploring the spatial and temporal dynamics of land use in Xizhuang watershed of Yunnan, southwest China

Over the last two decades, China has introduced a series of agricultural and forestland use reforms, aiming to feed the largest population in the world and maintain ecological services locally and nationally. This paper studies the impacts of local government-driven reforestation on land use and land cover change, as well as its further impacts on livelihoods of upland farmers in Xizhuang watershed. An analysis of aerial photographs and ASTER satellite imagery from 1987 to 2002, respectively, showed that the forest has significantly increased at the expense of decreasing farmland. However, the monoculture reforestation of pine has caused both biophysical and socio-economic consequences. This case study also shows forestry decentralization in China remains incomplete. Land use and land cover change is also a political economic issue. Some of the reforms designed to protect forest resources have had a negative impact on rural livelihoods.     

Analysis and classification of hyperspectral data for mapping land degradation: An application in southern Spain

Desertification is a severe stage of land degradation, manifested by “desert-like” conditions in dryland areas. Climatic conditions together with geomorphologic processes help to mould desert-like soil surface features in arid zones. The identification of these soil features serves as a useful input for understanding the desertification process and land degradation as a whole. In the present study, imaging spectrometer data were used to detect and map desert-like surface features. Absorption feature parameters in the spectral region between 0.4 and 2.5 μm wavelengths were analysed and correlated with soil properties, such as soil colour, soil salinity, gypsum content, etc. Soil groupings were made based on their similarities and their spectral reflectance curves were studied. Distinct differences in the reflectance curves throughout the spectrum were exhibited between groups. Although the samples belonging to the same group shared common properties, the curves still showed differences within the same group.Characteristic reflectance curves of soil surface features were derived from spectral measurements both in the field and in the laboratory, and mean reflectance values derived from image pixels representing known features. Linear unmixing and spectral angle matching techniques were applied to assess their suitability in mapping surface features for land degradation studies. The study showed that linear unmixing provided more realistic results for mapping “desert-like” surface features than the spectral angle matching technique.