CART and IDC – based classification of irrigated agricultural fields using multi-source satellite data     

Virupakshagouda C. Patil  Khalid A. Al-Gaadi  ElKamil Tola  Ahmed M. Zeyada  Samy Marey 《国际地球制图》2018,33(1):70-88

To understand water productivity of crops cultivated in the Eastern Province of Saudi Arabia, this study was conducted to generate a reliable crop type map using a multi-temporal satellite data (ASTER, Landsat-8 and MODIS) and crop phenology. Classification And Regression Tree (CART) and ISO-DATA Cluster (IDC) classification techniques were utilized for the identification of crops. The Ideal Crop Spectral Curves were generated and utilized for the formulation of CART decision rules. For IDC, the stacked images of the phenology-integrated Normalized Difference Vegetation Index were utilized for the classification. The overall accuracy of the classified maps of CART was 76, 77 and 81% for ASTER, MODIS and Landsat-8, respectively. For IDC, the accuracy was determined at 67, 63 and 60% for ASTER, MODIS and Landsat-8, respectively. The developed decision rules can be efficiently used for mapping of crop types for the same agro-climatic region of the study area.  相似文献   

The adaptive timing of diapause - a search for evolutionarily robust strategies in Calanus finmarchicus     

Fiksen  O. 《ICES Journal of Marine Science》2000,57(6):1825-1833

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Temporal dynamics of subtidal Zostera marina and intertidal Zostera japonica on the southern coast of Korea     

Sang Yong Lee  Jeong Bae Kim  & Sung Mi Lee 《Marine Ecology》2006,27(2):133-144

The temporal dynamics of two seagrass species, Zostera marina and Z. japonica, were monitored monthly in Dadae Bay, Geoje Island, on the southern coast of Korea. Plant morphological characteristics, shoot density, biomass, leaf production, reproductive effort, and environmental characteristics were monitored from July 2001 to July 2002. Zostera japonica occurred in the intertidal zone and Z. marina occurred in the subtidal zone from 0.5 to 2.5 m below the mean low water level. Shoots and rhizomes were significantly larger in Z. marina than in Z. japonica, whereas the shoot density was greater in Z. japonica than in Z. marina. Despite differences in morphology and shoot density, biomass did not differ significantly between the species. Reproduction occurred from April to June in Z. marina and from May to July in Z. japonica. The proportion of reproductive shoots was approximately three times higher in Z. marina than in Z. japonica. Seasonal variation in the biomass of Z. japonica was caused by changes in both shoot size and density, whereas that of Z. marina was mainly caused by changes in shoot length. Leaf production in Z. marina and Z. japonica showed clear seasonal variation, and leaf production in Z. marina (2.6 ± 0.2 g DW·m⁻²·day⁻¹) was higher than that in Z. japonica (1.7 ± 0.2 g DW·m⁻²·day⁻¹). The mean plastochrone interval was not significantly different between the two species, whereas the leaf lifetime of Z. marina was longer (69 ± 7.8 days) than that of Z. japonica (59 ± 8.3 days). Our results indicated that seasonal leaf growth patterns in Z. japonica are correlated with irradiance and temperature, whereas those in Z. marina respond most to irradiance. Seasonal changes in irradiance appeared to control the temporal variation in above‐ground biomass in both species.  相似文献   

Crop classification and acreage estimation in North Korea using phenology features   总被引：1，自引：0，他引：1  

Huanxue Zhang  Jiangui Liu  Xin Du  Longcai Zhao 《地理信息系统科学与遥感》2017,54(3):381-406

In North Korea, reliable and timely information on crop acreage and spatial distribution is hard to obtain. In this study, we developed a fast and robust method to estimate crop acreage in North Korea using time-series normalized difference vegetation index (NDVI) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) data. We proposed a method to identify crop type based on NDVI phenology features using data collected in other areas with similar agri-environmental conditions to mitigate the shortage of ground truth data. Eventually the classification map (MODIScrop) was assessed using the Food and Agriculture Organization (FAO) statistical data and high-resolution crop classification maps derived from one Landsat scene (LScrop). The Pareto boundary method was used to assess the accuracy and crop distribution of the MODIScrop maps. Results showed that acreage derived from the MODIScrop maps was generally consistent with that reported in the FAO data (a relative error <4.1% for rice and <6.1% for maize, and <9.0% for soybean except for in 2004, 2008, and 2009) and the maps derived from the LScrop (a relative error about 5% in 2013, and 7% in 2008 and 2014). The classification accuracy reached 74.4%, 69.8%, and 73.1% of the areas covered by the Landsat images in 2008, 2013, and 2014, respectively. This indicates that features derived from NDVI profiles were able to characterize major crops, and the approaches developed in this study are feasible for crop mapping and acreage estimation in regions with limited ground truth data.  相似文献   

农业物候动态对地表生物物理过程及气候的反馈研究进展     

刘凤山  陈莹  史文娇  张帅  陶福禄  葛全胜 《地理学报》2017,72(7):1139-1150

地表过程对全球变化的响应和反馈是地球系统科学研究的核心课题之一,目前的研究多关注全球变化对地表过程的影响,而地表动态过程对地表生物物理过程及气候的反馈研究较少。系统认识地表物候动态对生物物理过程及气候的反馈对深化地球系统科学研究有着重要的意义。本文从农业物候动态的事实、农业物候动态在陆面过程模型中的参数化表达、农业物候动态对地表生物物理过程及气候的反馈等方面进行综述,发现在气候变化和管理措施影响下,以种植期和灌浆期为代表的农业物候期发生了显著的规律性变化;耦合农业物候动态,改善了模型对地表动态过程、生物物理过程和大气过程的数字化表达;农业物候变化对地表净辐射、潜热、感热、反照率和气温、降水、环流等过程产生了影响,并表现出以地表能量分配为主的气候反馈机理。针对农业物候动态对地表生物物理过程及气候效应的时空重要性,需要继续开展以下方面的工作：① 加强全球变化对地表物候动态的影响及其反馈的综合研究;② 不同光谱波段地表反射率与农业物候动态的关系研究;③ 农业物候动态引起的作物生理学特征变化在地表生物物理过程中的贡献;④ 重视不同气候区物候动态对气候反馈效应的差异。  相似文献   

基于遥感时序特征的地表覆被信息提取     

田艳君  石莹  帅艳民  杨健  邵聪颖  范连连  马红红 《干旱区地理》2021,44(2):450-459

地表覆被作为自然过程和人类活动共同作用的重要地表景观特征,对全球或局地气候、水热循环、物质传输及陆面生态系统多样性等影响深远。利用年内时序遥感影像自动提取不同地表覆被类型的方法,以新疆阜康地区为研究目标,组织2016年植被全生长季的Landsat 8 OLI地表反射时序影像,研究不同物候期植被冠层的纹理响应信息,考察研究区典型地表覆被类型在3—11月多波段波谱、归一化植被指数(NDVI)及增强型植被指数(EVI)的时序特征,构建提取地表覆被类型的策略规则,形成时序特征匹配方法,将其应用于2018年研究区地表覆被填图的提取。最后,基于高分辨率卫星影像和野外实地调查对随机选取的2500个样点进行对比验证。结果表明:提取结果和验证数据一致性较好,总体精度为97.2%,Kappa系数为0.9655,且实地考查结果显示本方法在复播作物识别和有效降低单一时相中“异物同谱”现象上展示潜在优势。  相似文献   

1980—2009水文年青藏高原积雪物候时空变化遥感分析     

乔德京  王念秦  李震  周建民  符喜优 《气候变化研究进展》2018,14(2):137-143

以青藏高原积雪为研究对象,首先对长时间序列逐日雪深被动微波遥感数据进行预处理,获得青藏高原1980—2009水文年逐日雪深数据,然后逐像元计算出每个水文年平均积雪深度、开始日期(SCS)和结束日期(SCE),利用GIS空间分析和地学统计方法系统分析20世纪80年代、90年代和21世纪初青藏高原积雪物候变化特征和异常分布。结果表明：青藏高原积雪深度在20世纪80年代呈递减趋势,20世纪90年代后开始呈现递增趋势。20世纪80年代青藏高原除阿尔金山和昆仑山以外的高海拔山区SCS呈提前趋势,青藏高原高海拔地区SCE呈推迟趋势;20世纪90年代青藏高原高海拔地区的SCS提前趋势减弱,而高原中部腹地SCS出现显著的提前趋势,高原高海拔地区SCE呈提前趋势,高原中部腹地SCE呈推迟趋势;进入21世纪初后帕米尔高原、念青唐古拉山和横断山脉SCS呈推迟趋势,横断山、念青唐古拉、巴颜喀拉山SCE呈提前趋势。总体上,青藏高原积雪物候变化存在明显的空间差异和不同演变规律。  相似文献   

INFLUENCE OF THE ASIAN SUMMER MONSOON ON THE MIGRATION PHENOLOGY AND POPULATION DYNAMICS OF NILAPARVATA LUGENS (ST?L) IN CHINA     

刘垚  包云轩  孙思思  郑腾飞  陆明红  谢晓金  刘万才 《热带气象学报(英文版)》2018,24(1):71-81

With the aim to examine variations in the migration phenology and population of N. lugens along with the advance/retreat of the Asian summer monsoon(ASM) and lay the foundation for further study on predicting the timing and location of N. lugens outbreak, correlation analysis and spatial analysis were applied for estimating the impact of the ASM and its related meteorological factors on the migration phenology and population of N. lugens in China in this paper. The ASM had a positive effect on the occurrence and outbreak of N. lugens. First, the first appearance date of N.lugens was consistent with seasonal advances of the northernmost location of the ASM, and the ASM provided the dynamic condition for the northward migration of N. lugens. Second, outbreak of N. lugens occurred in the area under the control of the ASM, and the ASM provided the survival condition for the population of N. lugens. Third, the population was positively related to the northernmost location of the ASM, θ_E(850 hPa) and wind speed(850 hPa).Particularly, the stronger southwest wind caused the date of the first, peak and last catches of N. lugens to turn up earlier than in the extremely years.  相似文献   

遥感定量反演地表参数对于气候变化的响应研究     

MENENTI Massimo  贾立 《遥感学报》2016,20(5):946-957

遥感定量反演地表参数时间序列产品已被广泛应用于植被动态变化、全球气候变化、防灾减灾及环境保护等领域。由于卫星观测往往受到大气条件（如云、气溶胶、水汽等）以及传感器自身稳定性的影响等,许多由卫星观测反演得到的陆表产品,如归一化差值植被指数（NDVI）、叶面积指数（LAI）、地表温度（LST）、微波极化亮温（PDBT）等存在严重的时空不连续问题。为了获取时间序列上连续、空间上完整的地表参数遥感产品以满足长时序的陆面过程分析与建模的需求,目前已发展多种遥感时间序列重建模型。本文介绍了基于傅里叶变换的时间序列谐波分析（HANTS）方法,能够识别并去除受到云和大气影响的像元（噪声）,对原始时序数据进行时间插值来重建连续时间序列的数据,并针对其面向多种不同时空尺度的遥感反演地表参数以及在非洲、南美洲、欧洲、中国及印度等全球不同地区的应用研究进行了综述,包括植被动态变化对于气候变化及流域水循环过程的响应、干旱监测、基于土壤含水量饱和度时间序列分析的洪涝灾害易发区监测、遥感估算地表蒸散发时间尺度扩展等方面的研究,充分阐释了遥感时间序列产品在地气相互作用的各类研究领域的应用。  相似文献   

气候变暖对河南省蚱蝉始鸣期的影响     

韩小梅申双和  刘荣花 《气候变化研究进展》2008,4(06):342-346

利用河南省驻马店、沈丘和太康3个农业气象观测站1990-2004年的蚱蝉物候观测资料和气象资料,研究了气候变暖对蚱蝉始鸣期的影响。结果表明：在气温升高的气候背景下,蚱蝉始鸣期呈提前趋势;3-6月平均气温对蚱蝉始鸣期有显著的影响,始鸣期与1月1日至平均始鸣期期间＞5℃有效积温关系最为密切。用积温法以5℃为发育起点温度,＞5℃初日为起始日期对各站蚱蝉始鸣期进行模拟和预报,其效果优于平均法。  相似文献