Method for evaluating the degrees of land use sustainability of mountainous county and its application in Yunnan Province,China

The evaluation of sustainable land use is the key issue in the field of studying the sustainable land utilization. In general analysis, the sustainable land use is evaluated respectively from its ecological sustainability, economic sustainability and social sustainability in China and other countries in recent years. Although this evaluation is an important work, it seems insufficient and hard to comprehensively reflect the whole degree of land use sustainability. Thus, to make up this deficiency, this paper brings forward the evaluation indexes, which make it possible to quantitatively reflect the whole degree of land use sustainability, namely, the concept of ＂degrees of overall land use sustainability＂ （Dos）, and research and measurement development of the method of and calculation in Dos. Taking the evaluation of the degree of land use sustainability in county regions of Yunnan Province as the actual example for analysis, results are basically as follows：
1） The degree of land use sustainability （Dos） is the ration index to organically and systematically integrate the degree of ecological friendliness （DeF）, the degree of economic viability （Dev） and the degree of social acceptability （Dsa）, able to comprehensively reflect the whole sustainability degree of regional land use
2） Based on the value of Dos, the grading system and standard for the sustainability of land use may be established and totally divided into five grades, namely, the high-degree sustainability, middle-degree sustainability, low-degree sustainability, conditional sustainability and non-sustainability. Meanwhile, the standard for distinguishing sustainability grades has also been confirmed so as to determine the nature of sustainability degrees in different grades. This makes the possibility for the combination of nature determination with ration in research result and provides with the scientific guideline and decision-making gist for better implementation of sustainable land use strategy.
3） The pract     

国土资源数据管理初探

在分析国土资源数据及其管理特点的基础上,基于国土资源信息化和数据资源保护,将国土资源数据整体上分为资料数据、基础数据、业务数据、管理数据和元数据5类,提出了各类数据进行计算机管理的组织方法和采用的相关技术。     

Modeling spatially non-stationary land use/cover change in the lower Connecticut River Basin by combining geographically weighted logistic regression and the CA-Markov model

Simulating land use/cover change (LUCC) and determining its transition rules have been a focus of research for several decades. Previous studies used ordinary logistic regression (OLR) to determine transition rules in cellular automata (CA) modeling of LUCC, which often neglected the spatially non-stationary relationships between driving factors and land use/cover categories. We use an integrated geographically weighted logistic regression (GWLR) CA-Markov method to simulate LUCC from 2001–2011 over 29 towns in the Connecticut River Basin. Results are compared with those obtained from the OLR-CA-Markov method, and the sensitivity of LUCC simulated by the GWLR-CA-Markov method to the spatial non-stationarity-based suitability map is investigated. Analysis of residuals indicates better goodness of fit in model calibration for geographically weighted regression (GWR) than OLR. Coefficients of driving factors indicate that GWLR outperforms OLR in depicting the local suitability of land use/cover categories. Kappa statistics of the simulated maps indicate high agreement with observed land use/cover for both OLR-CA-Markov and GWLR-CA-Markov methods. Similarity in simulation accuracy between the methods suggests that the sensitivity of simulated LUCC to suitability inputs is low with respect to spatial non-stationarity. Therefore, this study provides critical insight on the role of spatial non-stationarity throughout the process of LUCC simulation.     

Examining the sensitivity of spatial scale in cellular automata Markov chain simulation of land use change

Understanding the spatial scale sensitivity of cellular automata is crucial for improving the accuracy of land use change simulation. We propose a framework based on a response surface method to comprehensively explore spatial scale sensitivity of the cellular automata Markov chain (CA-Markov) model, and present a hybrid evaluation model for expressing simulation accuracy that merges the strengths of the Kappa coefficient and of Contagion index. Three Landsat-Thematic Mapper remote sensing images of Wuhan in 1987, 1996, and 2005 were used to extract land use information. The results demonstrate that the spatial scale sensitivity of the CA-Markov model resulting from individual components and their combinations are both worthy of attention. The utility of our proposed hybrid evaluation model and response surface method to investigate the sensitivity has proven to be more accurate than the single Kappa coefficient method and more efficient than traditional methods. The findings also show that the CA-Markov model is more sensitive to neighborhood size than to cell size or neighborhood type considering individual component effects. Particularly, the bilateral and trilateral interactions between neighborhood and cell size result in a more remarkable scale effect than that of a single cell size.     

我国海洋功能区划的回顾性评价和新一轮编制建议

为完善我国海洋功能区划制度,提高海洋功能区划的编制和实施水平,促进其在我国海洋空间规划乃至国土空间规划中发挥应有作用,文章对我国现行海洋功能区划的实施情况进行回顾性评价,并对新一轮海洋功能区划的编制提出建议。研究结果表明:我国海洋功能区划法律地位高、管控范围广,现行海洋功能区划实施以来,通过建立定量目标管控体系、协调保障行业用海和保护海洋生态环境,对我国海洋经济和海洋生态环境的可持续发展做出巨大贡献;针对实施过程中存在的问题,新一轮海洋功能区划的编制应扩大海洋保护区的规模和种类、提高前瞻性和动态适应性、加强公众实质性参与以及完善技术体系。     

1961—2016年中国西北地区陆地水分收支的年代际变化特征

利用观测气象数据集（CN05.1）、地表水文数据集（VIC-CN05.1）以及大气再分析数据（JRA55）分析了我国西北地区1961-2016年暖季（5-9月）陆地水分收支的长期和年代际变化特征。通过对陆地水分收支（Land Water Availability,LWA）时间序列作Mann-Kendall突变检验,将1961-2016年划分为3个时段进行进一步分析（P1：1961-1978年;P2：1979-2008年;P3：2009-2016年）。主要结论如下：在1961-2016年间西北地区LWA呈上升趋势,区域平均的LWA时间序列具有明显的年代际特征。三个时段的LWA距平百分率分别为-5.45%、-0.46%和13.99%,总体表现为"减少-不变-增加"的特征,尤其是近些年地表水资源增加明显。三个时段的LWA距平百分率空间分布差异显著,尤其在新疆中部、甘肃东部和陕西。西北地区总体上水汽通量输送和垂直速度与降水年代际变化特征基本一致,且区域特征明显。西北地区蒸发受降水、向下长波辐射通量和风速变化影响显著。     

The Austrian node of the natural resources satellite remote sensing cloud service platform:examples of Sino-Austrian cooperation

The Austrian node of the Natural Resources Satellite Remote Sensing Cloud Service Platform was established in 2016 through a cooperation agreement between the Land Satellite Remote Sensing Application Center(LASAC),Ministry of Natural Resources of the Peoples Republic of China and the University of Vienna,Austria.Under this agreement panchromatic and multi-spectral data of the Chinese ZY-3 satellite are pushed to the server at the University of Vienna for use in education and research.So far,nearly 500 GB of data have been uploaded to the server.This technical note briefly introduces the ZY-3 system and illustrates the implementation of the agreement by the first China-Sat Workshop and several case studies.Some of them are already completed,others are still ongoing.They include a geometric accuracy validation of ZY-3 data,an animated visualization of image quick views on a spherical display to demonstrate the time series of the image coverage for Austria and Laos,and the use of ZY-3 data to study the spread of bark beetle in the province of Lower Austria.An accuracy study of DTMs from ZY-3 stereo data,as well as a land cover analysis and comparison of Austria with ZY-3 and other sensors are still ongoing.     

北京耕地流失的时空动态与调控途径研究

在国际学术前沿土地变化科学的概念框架下, 耕地非农化及其调控机制研究成为核心问 题之一。研究中国快速城市化地区耕地非农化的驱动力及其调控机制, 不仅是现实的迫切需求, 也可在国际相关学术领域做出独特贡献。以北京为案例进行研究发现: 1996~2004 年北京土地利 用变化中, 大多数地类转换都与耕地直接有关, 耕地流失是北京土地利用变化的核心问题; 城镇 扩展主要占用耕地, 且耕地生产力高的平原地区因建设占用而流失的耕地量大; 远郊山区耕地被 建设占用的压力相对较小, 但被生态用地占用的压力相对较大; 人口增长、经济发展、政府行为与 决策是北京等经济快速发展地区耕地流失的重要驱动因素, 解决途径关键在于寻求耕地保护与 耕地非农利用之间的平衡点、积极发挥土地管理政策的调控作用。     

遥感影像时—空融合的“点”—“线”—“面”质量评价

遥感影像时—空融合可集成多源数据高空间分辨率和高时间分辨率互补优势,生成时间连续的高空间分辨率影像,在遥感影像的动态监测与时序分析等方面具有重要应用价值.然而,现有多数研究往往基于单一数据产品对时—空融合算法进行评价,而在实际生产应用中,需要验证算法在多种遥感产品数据的融合表现;此外,目前研究大多基于“单点时刻”进行评...     

新形势下土地利用规划编制信息系统设计思路

针对上一轮规划存在的问题,提出了新形势下开发土地利用规划编制信息系统的必要性和设计思路,尤其把环境影响评价引入规划编制的过程中,为土地优化配置、合理利用土地提供了决策依据。