基于NDVI时间序列影像的张掖市农作物种植结构提取   总被引：1，自引：0，他引：1  

程良晓  江涛  谈明洪  肖兴媛 《地理信息世界》2016,(4):37-44

HJ卫星(环境与灾害监测预报小卫星)数据具有较高的时间和空间分辨率,可以有效地进行农作物种类识别,利用其时间序列数据进行作物信息提取具有很大优势。以甘肃省张掖市为研究区,利用2012年4月~2012年10月15个时相的HJ卫星CCD(电荷耦合元件,charge-coupled device)数据,通过分析玉米、油菜、大麦和小麦农作物在整个生长阶段的时间序列NDVI(归一化植被指数,normalized difference vegetation index)变化特点,提取四类农作物NDVI随时间变化的特征曲线,利用决策树分类方法,对2012年张掖市农作物进行分类,并以外业调查得到的实际地面验证点对分类结果进行验证。验证结果表明,可以有效地识别玉米、油菜、大麦和小麦4类农作物,制图精度分别为94.74%、82.35%、78.95%和90%;总体分类精度达到86.43%。而后提取了张掖市2014年农作物种植面积和分布格局,通过对比分析发现,2012~2014年,张掖市玉米、油菜的种植面积有不同程度的增加,大麦和小麦的种植面积各有一定程度的较少。可以为张掖市主要作物的种植结构调整提供科学依据,还可以为黑河流域农作物信息提取研究提供参考。  相似文献   

应用时间序列EVI的MERSI多光谱混合像元分解   总被引：1，自引：0，他引：1  

李耀辉  王金鑫  李颖 《遥感学报》2016,20(3):459-467

针对风云3数据的特点,本文将EVI生长曲线引入多光谱混合像元的分解。首先,利用Landsat8 OLI影像,采用支持向量机的分类方法,提取研究区域的耕地信息,利用该信息对风云MERSI数据进行掩膜处理,获得研究区域的耕地影像。接着,利用MERSI时序影像,计算像元EVI值,通过SG滤波,构建农作物(端元)和混合像元的EVI生长曲线。通过实地调查,获取研究区的农作物端元,尤其对主要的农作物玉米,在空间上均匀选取了14个端元。然后,采用传统的方法,将14种玉米端元生长曲线分别与其它端元组合,进行混合像元分解。发现分解的效果差异很大,提取的玉米种植面积从191.90 km2到574.83 km2不等。为提高分解精度,借用光谱匹配(光谱夹角最小)的方法(用生长曲线代替光谱曲线)自适应选择与混合像元EVI曲线最相似的玉米端元作为组合端元,进行混合像元分解。结果得到玉米的种植面积为589.95 km2,比传统方法的最好(相对)精度提高了2%。  相似文献   

Patterns of variability characterizing marine phytoplankton, with examples from Narragansett Bay   总被引：1，自引：0，他引：1  

Smayda  Theodore J. 《ICES Journal of Marine Science》1998,55(4):562-573

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Long-term fluctuations in the eastern Atlantic and Mediterranean bluefin tuna population   总被引：1，自引：1，他引：1  

Ravier  Christelle; Fromentin  Jean-Marc 《ICES Journal of Marine Science》2001,58(6):1299-1317

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Random-walk dynamics of exploited fish populations     

Niwa  Hiro-Sato 《ICES Journal of Marine Science》2007,64(3):496-502

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Biomass-dependent dynamics of fish spatial distributions characterized by geostatistical aggregation curves   总被引：4，自引：3，他引：4  

Petitgas  P. 《ICES Journal of Marine Science》1998,55(3):443-453

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Quantifying annual land-cover change and vegetation greenness variation in a coastal ecosystem using dense time-series Landsat data     

Dengqiu Li  Nan Li  Ming Wu  Xuexin Shao 《地理信息系统科学与遥感》2019,56(5):769-793

Land-cover change may affect water and carbon cycles when transitioning from one land-cover category to another (land-cover conversion, LCC) or when the characteristics of the land-cover type are altered without changing its overall category (land-cover modification, LCM). Given the increasing availability of time-series remotely sensed data for earth monitoring, there has been increased recognition of the importance of accounting for both LCC and LCM to study annual land-cover changes. In this study, we integrated 1,513 time-series Landsat images and a change-updating method to identify annual LCC and LCM during 1986–2015 in the coastal area of Zhejiang Province, China. The purpose was to quantify their contributions to land-cover changes and impacts on the amount of vegetation. The results show that LCC and LCM can be successfully distinguished with an overall accuracy of 90.0%. LCM accounted for 22% and 40.5% of the detected land-cover changes in reclaimed and inland areas, respectively, during 1986–2015. In the reclaimed area, LCC occurred mostly in muddy tidal flats, construction land, aquaculture ponds, and freshwater herbaceous land, whereas LCM occurred mostly in freshwater herbaceous land, Spartina alterniflora, and muddy tidal flats. In the inland area, both LCC and LCM were concentrated in forest and dryland. Overall, LCC had a mean magnitude of normalized difference vegetation index (NDVI) change similar to that of LCM. However, LCC had a positive effect and LCM had a negative effect on NDVI change in the reclaimed area. Both LCC and LCM in the inland area had negative impacts on vegetation greenness, but LCC resulted in larger NDVI change magnitude. Impacts of LCC and LCM on vegetation greenness were quantified for each land-cover type. This study provided a methodological framework to take both LCC and LCM into account when analyzing land-cover changes and quantified their effects on coastal ecosystem vegetation.  相似文献   

Plankton, from the last ice age to the year 3007     

Pielou  E. C. 《ICES Journal of Marine Science》2008,65(3):296-301

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中街山列岛岩礁海域鱼类群落多样性研究   总被引：2，自引：0，他引：2  

汪洋  吴常文 《海洋与湖沼》2015,46(4):776-785

加快包括岛礁海域鱼类资源在内的渔业资源调查研究,可以进一步完善该区域鱼类群落生态学内容,探究岩礁海域生境生态学功能,为该海域鱼类资源的养护修复、可持续利用和有效管理提供科学依据。本文基于2013年11月—2014年10月的中街山列岛岩礁海域鱼类资源调查数据,对研究区域鱼类组成及群落多样性分析,结果如下:全年渔获鱼类49种隶属9目28科42属,暖水种和暖温种分别为25和24种,底层、近底层和中上层鱼类各为12、26和11种,定居种、季节性洄游种和偶见种各为28、19和2种;褐菖鲉为全年的绝对优势种,黄姑鱼年IRI值最大,为37.23;迁移指数分析显示群落7月份稳定性最高;ABC曲线分析显示6月受到的干扰最小,2月受到的干扰最大;流刺网年渔获率和CPUE分别为44.03尾/km、13.43 kg/km,延绳钓作业分别为4.91尾/100钓、1.67kg/100钓;群落多样性指数分析结果显示,Margalef种类丰富度指数2月最低,为2.35,7月最大,为4.93;Shannon-Wiener多样性指数7—8月均值最大,为2.80左右;均匀度指数最大和最小值分别是0.97、0.74;三种多样性指数均呈现随气温升高而增大的趋势,但均匀度指数变化没有前2个指数明显,12月和5月3种指数均有波动现象发生。  相似文献   

Estimating time-based instantaneous total mortality rate based on the age-structured abundance index   总被引：1，自引：0，他引：1  

王迎宾 《中国海洋湖沼学报》2015,33(3):559-576

The instantaneous total mortality rate(Z) of a fish population is one of the important parameters in fisheries stock assessment. The estimation of Z is crucial to fish population dynamics analysis,abundance and catch forecast,and fisheries management. A catch curve-based method for estimating time-based Z and its change trend from catch per unit effort(CPUE) data of multiple cohorts is developed. Unlike the traditional catch-curve method,the method developed here does not need the assumption of constant Z throughout the time,but the Z values in n continuous years are assumed constant,and then the Z values in different n continuous years are estimated using the age-based CPUE data within these years. The results of the simulation analyses show that the trends of the estimated time-based Z are consistent with the trends of the true Z,and the estimated rates of change from this approach are close to the true change rates(the relative differences between the change rates of the estimated Z and the true Z are smaller than 10%). Variations of both Z and recruitment can affect the estimates of Z value and the trend of Z. The most appropriate value of n can be different given the effects of different factors. Therefore,the appropriate value of n for different fisheries should be determined through a simulation analysis as we demonstrated in this study. Further analyses suggested that selectivity and age estimation are also two factors that can affect the estimated Z values if there is error in either of them,but the estimated change rates of Z are still close to the true change rates. We also applied this approach to the Atlantic cod(G adus morhua) fishery of eastern Newfoundland and Labrador from 1983 to 1997,and obtained reasonable estimates of time-based Z.  相似文献