融合时间序列环境卫星数据与物候特征的水稻种植区提取   总被引：3，自引：0，他引：3  

柳文杰  曾永年  张猛 《遥感学报》2018,22(3):381-391

获取高精度的区域水稻种植面积对于农业规划、配置与决策具有重要意义。区域尺度的水稻面积获取依赖于高时空分辨率影像,但受卫星回访周期和气候影响,难以获取足够时间序列的高时空分辨率影像,从而影响水稻种植面积遥感提取的精度。为此,提出适应于中国南方多雨云天气地区,基于国产环境卫星(HJ-1A/1B)与MODIS融合数据的水稻种植面积提取的新方法。以洞庭湖区为实验区,利用STARFM模型融合环境卫星NDVI数据与MODIS13Q1数据,获取时间序列的环境卫星NDVI数据,利用水稻关键期的NDVI数据结合物候特征参数对水稻种植区域进行提取。结果表明,该方法能有效提取区域水稻种植的面积,水稻种植面积提取的总体精度与Kappa系数分别达到91.71%与0.9024,分类结果明显优于仅采用多光谱影像或NDVI数据。该研究为中国南方多雨云天气地区水稻种植面积提取提供了有效的方法。  相似文献   

A model for integrated spatial land use characteristics linking to surface nutrient concentration   总被引：1，自引：0，他引：1  

Erqi Xu 《International Journal of Digital Earth》2018,11(10):1064-1084

Quantifying land use heterogeneity helps better understand how it influences biophysical systems. Land use area proportions have been used conventionally to predict water quality variables. Lacking an insight into the combined effect of various spatial characteristics could lead to the statistical bias and confused understanding in previous studies. In this study, using spatial techniques and mathematical models, a diagnostic model was developed and applied for quantifying and incorporating three spatial components, namely, slope, distance to sampling spots, and arrangement. The upper catchment of Miyun Reservoir was studied as the test area. Total nitrogen, total phosphorus, and chemical oxygen demand of water samples from field measurements were used to characterize the surface water quality in 52 sub-watersheds. Using parameter calibrations and determinations, combined spatial characteristics were explored and detected. Adjusted land use proportions were calculated by spatial weights of discriminating the relative contribution of each location to water quality and used to build the integrated models. Compared with traditional methods only using area proportions, our model increased the explanatory power of land use and quantified the effects of spatial information on water quality. This can guide the optimization of land use configuration to control water eutrophication.  相似文献   

Modelling coastal land use change by incorporating spatial autocorrelation into cellular automata models   总被引：1，自引：0，他引：1  

Yongjiu Feng  Qianqian Yang  Zhonghua Hong  Li Cui 《国际地球制图》2018,33(5):470-488

This paper presents a spatial autoregressive (SAR) method-based cellular automata (termed SAR-CA) model to simulate coastal land use change, by incorporating spatial autocorrelation into transition rules. The model captures the spatial relationships between explained and explanatory variables and then integrates them into CA transition rules. A conventional CA model (LogCA) based on logistic regression (LR) was studied as a comparison. These two CA models were applied to simulate urban land use change of coastal regions in Ningbo of China from 2000 to 2015. Compared to the LR method, the SAR model yielded smaller accumulated residuals that showed a random distribution in fitting the CA transition rules. The better-fitting SAR model performed well in simulating urban land use change and scored an overall accuracy of 85.3%, improving on the LogCA model by 3.6%. Landscape metrics showed that the pattern generated by the SAR-CA model has less difference with the observed pattern.  相似文献   

Detection and mapping of bracken fern weeds using multispectral remotely sensed data: a review of progress and challenges     

Trylee Nyasha Matongera  Onisimo Mutanga  Timothy Dube  Romano Trent Lottering 《国际地球制图》2018,33(3):209-224

Bracken fern is one of the major invasive plants distributed all over the world currently threatening socio-economic and ecological systems due to its ability to swiftly colonize landscapes. The study aimed at reviewing the progress and challenges in detecting and mapping of bracken fern weeds using different remote sensing techniques. Evidence from literature have revealed that traditional methods such as field surveys and modelling have been insufficient in detecting and mapping the spatial distribution of bracken fern at a regional scale. The applications of medium spatial resolution sensors have been constrained by their limited spatial, spectral and radiometric capabilities in detecting and mapping bracken fern. On the other hand, the availability of most of these data-sets free of charge, large swath width and their high temporal resolution have significantly improved remote sensing of bracken fern. The use of commercial satellite data with high resolution have also proven useful in providing fine spectral and spatial resolution capabilities that are primarily essential to offer precise and reliable data on the spatial distribution of invasive species. However, the application of these data-sets is largely restricted to smaller areas, due to high costs and huge data volumes. Studies on bracken fern classification have extensively adopted traditional classification methods such as supervised maximum likelihood classifier. In studies where traditional methods performed poorly, the combination of soft classifiers such as super resolution analysis and traditional methods of classification have shown an improvement in bracken fern classification. Finally, since high spatial resolution sensors are expensive to acquire and have small swath width, the current study recommends that future research can also consider investigating the utility of the freely available recently launched sensors with a global footprint that has the potential to provide invaluable information for repeated measurement of invasive species over time and space.  相似文献   

Qualitative spatial reasoning on topological relations by combining the semantic web and constraint satisfaction     

Yandong Wang  Mengling Qiao  Hui Liu  Xinyue Ye 《地球空间信息科学学报》2018,21(2):80-92

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The effects of visual realism,spatial abilities,and competition on performance in map-based route learning in men     

Arzu Çöltekin  Rebecca Francelet  Kai-Florian Richter  John Thoresen  Sara Irina Fabrikant 《制图学和地理信息科学》2018,45(4):339-353

We report on how visual realism might influence map-based route learning performance in a controlled laboratory experiment with 104 male participants in a competitive context. Using animations of a dot moving through routes of interest, we find that participants recall the routes more accurately with abstract road maps than with more realistic satellite maps. We also find that, irrespective of visual realism, participants with higher spatial abilities (high-spatial participants) are more accurate in memorizing map-based routes than participants with lower spatial abilities (low-spatial participants). On the other hand, added visual realism limits high-spatial participants in their route recall speed, while it seems not to influence the recall speed of low-spatial participants. Competition affects participants’ overall confidence positively, but does not affect their route recall performance neither in terms of accuracy nor speed. With this study, we provide further empirical evidence demonstrating that it is important to choose the appropriate map type considering task characteristics and spatial abilities. While satellite maps might be perceived as more fun to use, or visually more attractive than road maps, they also require more cognitive resources for many map-based tasks, which is true even for high-spatial users.  相似文献   

近40年来中国湖泊叶绿素a浓度的时空分异特征分析     

武昭鑫  孔祥生  徐兆鹏  曾健  刘鑫 《海洋与湖沼》2024,55(2):347-362

随着经济社会快速发展, 中国湖泊表现出不同程度的富营养化, 湖泊生态正面临着严峻挑战。叶绿素a是评价水体营养状态的重要指标, 可以反映湖泊中浮游植物生物量情况。基于Landsat系列数据集, 对1986~2022年间中国范围内面积在10 km²以上湖泊叶绿素a浓度分布状况进行研究, 并对各区域叶绿素a浓度演变趋势进行分析, 结果表明: (1) 中国湖泊叶绿素a浓度存在地域性空间分布差异。叶绿素a浓度分布整体呈现东南高, 西北低的态势, 大约69%的湖泊处于轻富营养化程度, 中富营养化状态约占17%。以35°N和100°E为分界线, 各区域叶绿素a浓度随经纬度呈现出一定的变化规律。(2) 近40年间中国湖泊叶绿素a浓度年均值处于缓慢波动上升趋势, 时间序列呈现先降低后升高, 再降低的变化状态。所有湖泊叶绿素a浓度显著上升的数量占比约为30%, 显著下降的占比约为24.8%, 变化不显著的约占45.2%。整体变化较为稳定, 变异系数处于中等波动水平以下, 波动较大的区域位于青藏高原, 东北地区和长江中下游的部分地区。(3) 各流域内湖泊叶绿素a浓度时空分异特征表现为: 空间分布上, 内陆流域和西南流域普遍较低, 珠江流域和东南流域较高。时间变化上, 除了西南流域和内陆流域的湖泊叶绿素a浓度呈现下降趋势外, 其他流域均为上升趋势。中国湖泊叶绿素a浓度呈现出明显的地域性差异和时间变化趋势, 这主要归因于地区气候、水文条件、土地利用以及人类活动变化等因素。受温暖湿润气候和较强人类活动的影响, 东南部地区的湖泊叶绿素a浓度相对较高。西北部地区气温偏低, 降水较少, 湖泊叶绿素a浓度普遍较低。近40年的时间尺度上, 受城市化、工业化快速发展和全球气候变化的共同影响, 中国整体湖泊叶绿素a浓度呈缓慢上升趋势。  相似文献   

西安市PM_2.5城乡差异及与城市热岛的关联研究          下载免费PDF全文

李煜斌  姜蕴聪  杨元建  张建彬  赵纯  高志球 《大气科学学报》2022,45(6):904-916

依据一种基于建筑用地比例和土地利用信息熵的城乡站点划分方法,将西安市环境与气象站点划分为城区、郊区和两类乡村站,讨论其PM_2.5的城乡分布特征及与城市热岛效应强度(Urban Heat Island Intensity,UHII)间的相关关系。结果表明,不同季节西安市呈现不同的PM_2.5城乡分布特征和日变化特征,两类乡村站点PM_2.5差异明显且下风向乡村站点(乡村D)对应的UHII_D对城区和乡村的影响程度大于上风向乡村站点(乡村U)对应的UHII_U。在城区较多本地排放的影响下,乡村PM_2.5浓度与 UHII_U(或UHII_D)相关系数均大于城区。随着UHII_D的增加,城乡PM_2.5相对浓度差值(RUPII_D)整体呈下降趋势且UHII_D与RUPII_D在春夏秋季显著负相关。UHII_D增大,城区近地面PM_2.5的水平扩散能力减弱,但PM_2.5的垂直扩散能力较乡村更强,从而UHII_D通过影响PM_2.5的传输扩散特征,进一步影响西安市RUPII_D。  相似文献   

内蒙古呼包鄂地区近56年来大气环境容量变化特征分析          下载免费PDF全文

刘新  刘林春  尤莉 《气象与环境科学》2019,42(1):86-92

为探讨内蒙古呼包鄂地区大气对污染物承载能力的变化,科学评价气候变化对大气环境的影响,利用1961—2016年呼包鄂地区8个国家气象站降水量、风速、云量资料,分析了该地区气象条件的变化特征及大气环境容量的时空分布特征,并对大气环境容量与气象要素之间的相关性进行了分析。结果显示:呼包鄂地区大气环境容量1月的最小、4月的最大,春季的>秋季的>夏季的>冬季的,年平均大气环境容量为62.4 t/d/km^2;月、季、年平均大气环境容量呈波动减小趋势,特别是20世纪70年代末期之后减小趋势更为显著;有明显的空间分布特征,由城区向郊区逐渐增大,城郊差异冬季最为明显,夏季差异最小;大气环境容量与降水相关性差,与风速和日最大混合层高度呈显著的正相关关系,特别是与风速相关性更显著,与小风日数呈显著的负相关关系。  相似文献   

四川省旅游气候舒适度评价          下载免费PDF全文

严霜  董廷旭  杜华明  林孝先 《高原山地气象研究》2019,39(1):74-80,86

为了更好地发展旅游事业,本文以四川省2006~2016年21个站点的气象数据为基础数据,运用奥利弗温湿指数和IDW空间插值法对四川省旅游气候舒适度进行评价。结果表明:(1)从总体上看,四川省旅游气候舒适度差异显著,呈现出西部较高、东部较低的特征;(2)从季节上看,四川省春、秋季舒适度较高,最适合人们旅游;夏、冬季舒适度较差,最不适合旅游;(3)从旅游地上看,除了甘孜州、阿坝州和凉山州的最舒适时期为7月,最不舒适时期为1月。四川省典型旅游地最舒适时期大都为4月和10月,最不舒适时期主要为1月和7月。因此,除甘孜州,阿坝州和凉山州外,4月和10月四川省适合旅游;相反,1月和7月四川省不适合旅游。  相似文献