Analyzing multi-year rice-fallow dynamics in Odisha using multi-temporal Landsat-8 OLI and Sentinel-1 Data

ABSTRACT

Sustainable intensification of existing cropland is one of the most viable options for meeting the escalating food demands of the ever-increasing population in the world. Accurate geospatial data about the potential single-crop (rice-fallows) areas is vital for policymakers to target the agro-technologies for enhancing crop productivity and intensification. Therefore, the study aimed to evaluate and understand the dynamics of rice-fallows in the Odisha state of India, using SAR (Sentinel-1) and Optical (Landsat OLI) datasets. This study utilized a decision-tree approach and Principal component analysis (PCA) for the segmentation and separation of different vegetation classes. The estimated overall accuracy of extracted rice-fallow maps was in the range of 84 to 85 percent. The study identified about 2.2, 2.0 and 2.1mha of Rice-Fallows in the years 2015–16, 2016–17, and 2017–18, respectively. The combined analysis (all three years) of rice-fallow maps identified about 1.34mha of permanent rice-fallows, whereas the remaining 0.6–0.8mha area was under the current-fallow category. About 50% of the total permanent rice-fallows were detected in the rainfed areas of Mayurbhanj, Bhadrak, Bolangir, Sundargarh, Keonjhar, Baleswar, Nawarangpur and Bargarh districts. The study also illustrated the time-series profiles of SMAP (soil moisture) datasets for the ten agroclimatic zones of the Odisha, which can be utilized (along with rice-fallow maps) for the selection of crop and cultivars (e.g. short or medium duration pulses or oilseeds) to target the rice fallows. The approach utilized in the current study can be scaled up in similar areas of South and South-east Asia and Africa to identify single-crop areas for targeting improved technologies for enhanced crop productivity and intensification.     

Glacier development and topographic context

This paper analyses the topographic context of the remaining glaciated areas in the Maladeta Massif (Central Spanish Pyrenees). These ice‐covered surfaces have been incorporated into a geographic information system (GIS) in an attempt at correlating the presence of ice with a range of topographic variables obtained from a digital elevation model. The use of generalized additive models and binary regression tree models enabled us (i) to quantify the spatial variability in the distribution of glaciers attributable to characteristics of the local terrain, (ii) to investigate the interaction between the variables that account for the ice cover distribution and (iii) to map the probability of glacier development. Our results show that although the development of glaciers depends on regional climate conditions, the topographic context is of paramount importance in determining the location, extent, shape and recent evolution of each glacial body. Thus, the joint effect of altitude, exposure to incoming solar radiation, slope and mean curvature is able to explain more than 70 per cent of the observed variance. Copyright © 2006 John Wiley & Sons, Ltd.     

最小生成树相位解缠中冗余去除算法

目前，相位解缠的方法中以Goldstein提出的枝切法最为经典，它通过枝切线将残差点相互连接使得残差点电荷中和，在相位展开处理的积分中，积分路径不能穿过分支，从而限制误差的传播。但是由于枝切线连接策略的不合理，往往造成连成的枝切线过多、过长，甚至多条枝切线形成闭合区域，造成不能解缠的“死区”，特别是在残差点较多的情况，这种现象更为严重。本文在最小生成树原理的基础上，提出的枝切线冗余去除算法能简单、准确地去除枝切树中的冗余，并保证了相位解缠具有最好的效果。     

地球化学填图与地球化学块体的谱系分析——编号系统及谱系树图的自动绘制

中国的地球化学填图研究工作起步较早并发展成为在国际上具有明显优势的学科。在此基础上提出的地球化学块体理论通过一定的编号系统绘制谱系树图来追索某元素在块体内部逐步浓集成矿的轨迹。通过谱系树图可以发现不同级别的子块体之间的亲缘关系,研究它们在时间和空间上的分布规律,结合已发现矿床的信息,预测潜在矿床的分布及其储量,从而指导找矿工作。提出了一种全新的谱系编号系统并编制了在计算机上自动绘制谱系树图的软件,同时实现了与原有编号系统的一致,解决了长期以来谱系树图不能自动绘制的问题,为地球化学块体的研究提供了一个很好的工具。     

数据挖掘技术在水文预报中的应用及水文预报发展趋势研究

数据挖掘作为知识发现过程中的重要步骤,是从大型数据库中提取未知的、有价值的和可操作性的关系、模式和趋势用于决策支持的过程。我国目前在防洪领域存在着大量水文数据,如何充分有效地利用各种智能算法对这些数据进行分析与挖掘,以形成相应的水文预报模型进行准确的水文预报是防洪决策支持系统完善和发展的重要方面。本文首先全面地介绍数据挖掘的功能分类及以数据挖掘为基础的水文预报体系,然后对数据挖掘技术在水文预报中的应用进行了探讨和研究。     

Sensitivity analysis of seismic hazard for Western Liguria (North Western Italy): A first attempt towards the understanding and quantification of hazard uncertainty

The use of logic trees in probabilistic seismic hazard analyses often involves a large number of branches that reflect the uncertainty in the selection of different models and in the selection of the parameter values of each model. The sensitivity analysis, as proposed by Rabinowitz and Steinberg [Rabinowitz, N., Steinberg, D.M., 1991. Seismic hazard sensitivity analysis: a multi-parameter approach. Bull. Seismol. Soc. Am. 81, 796–817], is an efficient tool that allows the construction of logic trees focusing attention on the parameters that have greater impact on the hazard.In this paper the sensitivity analysis is performed in order to identify the parameters that have the largest influence on the Western Liguria (North Western Italy) seismic hazard. The analysis is conducted for six strategic sites following the multi-parameter approach developed by Rabinowitz and Steinberg [Rabinowitz, N., Steinberg, D.M., 1991. Seismic hazard sensitivity analysis: a multi-parameter approach. Bull. Seismol. Soc. Am. 81, 796–817] and accounts for both mean hazard values and hazard values corresponding to different percentiles (e.g., 16%-ile and 84%-ile). The results are assessed in terms of the expected PGA with a 10% probability of exceedance in 50 years for rock conditions and account for both the contribution from specific source zones using the Cornell approach [Cornell, C.A., 1968. Engineering seismic risk analysis. Bull. Seismol. Soc. Am. 58, 1583–1606] and the spatially smoothed seismicity [Frankel, A., 1995. Mapping seismic hazard in the Central and Eastern United States. Seismol. Res. Lett. 66, 8–21]. The influence of different procedures for calculating seismic hazard, seismic catalogues (epicentral parameters), source zone models, frequency–magnitude parameters, maximum earthquake magnitude values and attenuation relationships is considered. As a result, the sensitivity analysis allows us to identify the parameters with higher influence on the hazard. Only these parameters should be subjected to careful discussion or further research in order to reduce the uncertainty in the hazard while those with little or no effect can be excluded from subsequent logic-tree-based seismic hazard analyses.     

基于CART集成学习的城市不透水层百分比遥感估算

利用Landsat ETM^＋遥感数据，提出了一种基于CART集成学习的ISP遥感亚像元估算方法，将Boosting重采样技术引入CART分析中，用于提高ISP估算的精度。实验结果表明，该方法的ISP估算性能优于传统的单一CART学习算法，从ETM^＋影像中估算的ISP值与真实值之间的相关系数达到0．91，平均偏差为11．16％。     

基于区间树索引的等高线提取算法

重新设计了从高程格网中提取等高线过程中的遍历策略，以保证提取结果具有统一的方向；针对日益增长的高程格网数据量，提出了基于区间树索引来查找等高线起点的算法。     

基于决策树的高光谱数据特征选择及其对分类结果的影响分析

本文利用OM IS高光谱数据,研究了决策树算法（Decision Tree,DT）特征选择的特点以及特征选择对决策树分类结果的影响。设计了三种特征选择方法：SEP,MDLM和RELIEF,将它们与DT特征选择的结果以及特征选择后的分类精度（考虑了三种分类器：最大似然法、后向传播神经网络、最邻近法）进行对比,并分析了这三种特征选择方法对决策树结构和分类精度的影响。结果显示,DT是一种比较好的特征选择方法;经过特征选择后再生成的决策树比直接生成的决策树,用到更少的特征（平均减少了43.36%）、有更多的节点（平均增加了18.61%）和更高的分类精度（平均提高了0.35%）,当样本数量少时,分类精度的提高幅度最大,而树的大小却基本没有增加。     

大兴安岭森林覆盖区植物化探找矿方法研究

根据前人在植物化探方面的研究成果,结合本区有色、贵金属矿化实际,选择了白桦树树干下部树皮为植物化探样品,进行了Au、Ag、Cu、Pb、Zn元素的测试.结果表明：①该区植物化探工作比土壤化探更具优越性;②白桦树树皮具有易采、易灰化的特点;③植物化探结果,可良好地反映出已知的Au、Pb、Zn矿化-蚀变带.用植物化探方法找矿,在该区具有良好的适用性和可靠性,有一定的推广价值.