Variations in spring leaf phenology and leaf freezing damage of common woody species in China北大核心CSCD     

陶泽兴  戴君虎 《地理科学进展》2023,(4):766-781

Freezing damage results in the dehydration of plant cells and reduces the photosynthetic capacity of plants, which causes significant losses to ecology and economy. Over the past 40 years, global warming has reduced the frequency and intensity of frost events while bringing forward the spring phenology of plants, increasing the exposure of their leaves and flowers to harsh cold temperatures. Therefore, the dual effects of climate warming should be considered in order to accurately assess the changes of plant freezing damage. To date, there is no systematic analysis of plant freezing damage in different climatic regions of China. Based on phenological observation records from the China Phenological Observation Network, leaf frost damage of four common woody plants (Ulmus pumila, Robinia pseudoacacia, Salix babylonica, Fraxinus chinensis) in the spring over the past 40 years was calculated, and the spatio-temporal patterns were analyzed. We also investigated the change in the occurrence time of maximum frost damage (TMFD) and its relationship with plant phenology. The results show that: 1) Most species presented an overall trend towards an earlier leaf unfolding date, and the advancing trend was significant and greater than 1 d/a in about 60% of the regions (P<0.05). 2) The TMFD occurred earlier in 72.22%-83.03% of the regions, which was closely related to plants' earlier leaf unfolding date. The TMFD of all species advanced the most (8.3 days) in the temperate climate zone, followed by the warm temperate, subtropical, plateau, and cold temperate zones. 3) The leaves of U. pumila, R. pseudoacacia and S. babylonica suffered more freezing damage in the spring, and the most significant freezing damage was mainly found in the north of 50°N region and part of the west of the Qinghai-Tibet Plateau. In comparison, the leaves of F. chinensis suffered less frost damage due to later leaf unfolding date and stronger leaf frost resistance. With regard to interannual variations, the average freezing damage of U. pumila, R. pseudoacacia and S. babylonica increased significantly (P<0.05), but that of F. chinensis did not change obviously. In addition, the freezing damage of U. pumila and S. babylonica increased the most in the cold temperate zone, while that of R. pseudoacacia increased in about 10% of the regions in the plateau climate zone, and 3%-6% of the regions in the cold temperate, temperate, and warm temperate climate zones. The freezing damage of F. chinensis merely increased in the warm temperate zone. The results of this study can provide a reference for assessing the risk of plant freezing damage accurately and help develop regional-specific response and adaptation strategies to climate change. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.  相似文献   

面向遥感大数据的地学知识图谱构想   总被引：1，自引：0，他引：1  

王志华  杨晓梅  周成虎 《地球信息科学学报》2021,23(1):16-28

由于地球表面的时空异质性与复杂性,传统从遥感影像具有的信息特征出发,构建智能解译算法解决遥感地学认知的思路在应对面向全球的海量遥感大数据分析时,其精度和地学实用性已触及瓶颈。为此,本文从地学知识为核心的角度出发,结合当前知识图谱理论的发展,提出一种新的面向遥感大数据分析的地学思维构想——地学知识图谱。本构想将地学知识的概念进行重构,依次划分为数据性知识、概念性知识和规律性知识3个层次,并分别利用图模型的节点和边进行统一化表达和关联,打通不同层次地学知识间的反馈迭代与更新,在此基础上赋予地学知识图谱分析遥感大数据分析时知识的查询检索、知识推理、动态校正、拓展更新等功能。其中,如何构建具有多尺度、高维度特征的地理实体以及大体量、异质性的知识层级间的关联推理是地学知识图谱构想实现的关键难点。得益于知识的分层次和图模型结构的统一化表达,提出的地学知识图谱构想在促进遥感大数据时代背景下的地学知识精准化,提升遥感大数据解译精度和地学实用性,深化地学规律认知等方面应该具有广阔的前景。  相似文献   

基于Google Earth Engine和NDVI时序差异指数的作物种植区提取   总被引：1，自引：0，他引：1  

姜伊兰  陈保旺  黄玉芳  崔佳琪  郭宇龙 《地球信息科学学报》2021,23(5):938-947

为提高农作物种植信息遥感监测的效率,扩展数据适用范围,本文提出了一种基于时间序列NDVI差异指数的作物种植区提取方法。随着海量遥感与云计算的发展,Google Earth Engine作为一个全球尺度地理空间分析云平台,弥补了单机计算耗时长的不足,为快速遥感分类带来了新机遇。基于Google Earth Engine平台,以河南省开封市杞县为研究区,以2019—2020年杞县地区多时相Sentinel-2影像为数据源,结合物候信息,根据不同作物在时间序列NDVI曲线上的差异构建NDVI时序差异指数,从而提取作物种植区,区分不同作物类型,并与其他方法进行了精度验证和对比。结果表明：① NDVI时序差异指数法以作物物候信息为基础,与GEE高性能的计算能力相结合,形成了作物种植信息快速提取框架,可以方便快捷地进行作物种植区提取,较本地处理具有明显优势;② 杞县冬小麦和大蒜种植区有明显的空间分异性,冬小麦种植区主要集中在研究区西北部以及南部的农村居民点周围,而杞县大蒜则由于产品流通需要,主要集中在研究区中部以及东北部,居民点较为密集,交通便利的城市周边;③ 与时间序列支持向量机法和最大似然法相比较, NDVI时序差异指数进行作物种植区提取的总体精度达到83.72%, Kappa系数为0.67,分别比最大似然法提高了10.02%和0.21,比支持向量机法提高了4.18%和0.09,表明该方法能更高效率,更高精度地提取作物种植信息,实现区域作物种植信息的高效准确监测。总体来看,该方法在一定程度上可拓展遥感数据在农业领域的应用范围,具有推广价值。  相似文献   

协同多时相波谱特征的不透水面信息级联提取     

帅艳民  马现伟  曲歌  邵聪颖  刘涛  刘守民  黄华兵  谷玲霄  拉提帕•吐尔汗江  梁继  李玲 《地球信息科学学报》2021,23(1):171-186

不透水面作为反应城市表征变化和区域城镇化的重要技术指标,其位置、图斑大小、空间分布等信息在地表水热循环和能量平衡等领域被广泛需求。传统方法大都基于单一时相信息提取不透水面,而忽略多时相所蕴含的丰富信息。因此,本文提出多时相信息融合的不透水面级联提取方法,利用Landsat-8 OLI遥感影像分析归一化植被指数（Normalized Difference Vegetation Index, NDVI）、改进的归一化水体指数（Modified Normalized Difference Water Index, MNDWI）和归一化建筑指数（Normalized Difference Building Index, NDBI）年内时序变化特点和典型地物间多时相波谱曲线的协同特征,并归纳不透水面多时相变化规律;再根据先验知识所获取的有效地表信息,进行多时相分级提取不透水面信息。此外,基于实地考察数据和同期2 m GF-1遥感影像屏幕数字化生成30 m不透水面图斑,进行精度验证、分析和对比单时相、四季相及多时相3种时序情况下的提取精度。结果表明：单时相提取不透水面总精度最低,四季相提取精度优于单时相,而多时相提取精度最高（精度可达93.66%,Kappa系数为0.81）。本方法在偏远城镇不透水面的有效识别中显露潜在优势,可为不透水面提取方法融合时序波谱特征提供新思路。  相似文献   

基于卷积神经网络的ICESat-2光子点云去噪分类     

陆大进  黎东  朱笑笑  聂胜  周国清  张兴忆  杨超 《地球信息科学学报》2021,23(11):2086-2095

ICESat-2（Ice, Cloud, and land Elevation Satellite-2）是美国NASA（National Aeronautics and Space Administration）在2018年发射的激光测高卫星,其上搭载的激光测高系统ATLAS（Advanced Topographic Laser Altimeter System）采用微脉冲多波束光子计数激光雷达系统,因其低能耗、高探测灵敏度、高重复频率的特性极大改善了沿轨采样密度,但也使获取的数据中包含大量的噪声,如何有效实现光子点云去噪分类成为后续应用的关键,也是当前研究的热点和难点,为此本文提出一种基于卷积神经网络的光子点云去噪和分类算法。首先将光子点云按照沿轨和高程方向划分格网,去除明显的噪声光子,并将每个粗信号光子点栅格化为影像;然后基于少量样本构建的卷积神经网络分类模型实现光子点云精去噪和分类;最后利用机载激光雷达数据进行验证,并与ATL08产品的去噪分类结果进行对比。结果表明,对于裸地和森林区域,卷积神经网络算法均能有效去除噪声光子,特别对于森林区域,可同时实现去噪和分类;其中,裸地区域地表计算的R²和RMSE分别为1.0和0.72 m,森林区域地表和树冠计算的R²分别为1.0和0.70, RMSE分别为1.11 m和4.99 m。本文利用深度学习算法实现光子点云去噪分类,在裸地和森林区域均取得了较好的结果,为后续光子点云数据处理提供了参考。  相似文献   

Elevation,slope aspect and integrated nutrient management effects on crop productivity and soil quality in North-west Himalayas,India     

Birendra Nath Ghosh  Narinder Kumar Sharma  Nurnabi Meherul Alam  Raman Jeet Singh  Gopal Prasad Juyal 《山地科学学报》2014,11(5):1208-1217

On farm bio-resource recycling has been given greater emphasis with the introduction of conservation agriculture specifically withclimate change scenarios in the mid-hills of the north-west Himalaya region（NWHR）. Under this changing scenario, elevation, slope aspect and integrated nutrient management（INM） may affect significantly soil quality and crop productivity. A study was conducted during 2009-2010 to 2010-2011 at the Ashti watershed of NWHR in a rainfed condition to examine the influence of elevation, slope aspect and integrated nutrient management（INM） on soil resource and crop productivity. Two years of farm demonstration trials indicated that crop productivity and soil quality is significantly affected by elevation, slope aspect and INM. Results showed that wheat equivalent yield（WEY） of improved technology increased crop productivity by -20%-37% compared to the conventional system. Intercropping of maize with cowpea and soybean enhanced yield by another 8%-17%. North aspect and higher elevation increased crop productivity by 15%-25% compared to south aspect and low elevation（except paddy）. Intercropping of maize with cowpea and soybean enhanced yield by another 8%-15%. Irrespective of slope, elevation and cropping system, the WEY increased by -30% in this region due to INMtechnology. The influence of elevation, slope aspect and INM significantly affected soil resources（SQI） and soil carbon change（SCC）. SCC is significantly correlated with SQI for conventional（R2 = 0.65＊）, INM technology（R2 = 0.81＊） and for both technologies（R2 = 0.73＊）. It is recommended that at higher elevation.（except for paddy soils） with a north facing slope, INM is recommended for higher crop productivity; conservation of soil resources is recommended for the mid hills of NWHR; and single values of SCC are appropriate as a SQI for this region.  相似文献   

Snake Model for the Extraction of Loess Shoulder-line from DEMs   总被引：1，自引：0，他引：1  

YAN Shi-jiang  TANG Guo'an  LI Fa-yuan  ZHANG Lei 《山地科学学报》2014,(6):1552-1559

Shoulder lines are the most important landform demarcations for geographical analysis,soil erosion modeling and land use planning in the Loess Plateau area of China.This paper proposes an automatic,effective and accurate method of determining loess shoulder line from DEMs by integrating a hydrological D8 algorithm and a snake model.The watershed boundary line is adopted as the initial contour which evolves to identify the exact position of loess shoulder-line by the guidance of an external force of snake model from DEMs.Experiments show that the method overcomes the difficulties in both threshold selection for edge detection and the disconnecting issues in former extraction approaches.The accuracy evaluation of shoulder-line maps from the two test sites of the loess plateau area show obvious improvements in the extraction.The average contour matching distance of the new method is 12.0 m on 5 m resolution DEM,and shows improvement in the accuracy and continuity.The comparisons of accuracy evaluations of the two test sites show that the snake model method performs better in the loess plain area than in the area with high gully density.  相似文献   

东阳市行政服务中心国土局窗口以“三心”服务争省创级巾帼文明岗     

《浙江国土资源》2014,(1):62-63

东阳市行政服务中心国土局窗口在2011年和2012年相继被评为东阳市巾帼文明岗和金华市巾帼文明岗等荣誉称号基础上,不骄不躁,继续努力争创浙江省巾帼文明岗。一是用心服务,争当窗口的“文明人”。通过每周一次学习制度,定期召开科室例会,  相似文献   

文成县深化窗口服务改革提升窗口服务质量     

周树春 《浙江国土资源》2014,(7):63-64

为进一步提升文成县国土资源管理窗口的服务水平和服务质量,切实做到以人民为中心、以群众利益为工作的出发点和落脚点,文成县国土资源局结合党的群众路线教育实践活动．多措并举,深化窗口服务改革。  相似文献   

践行社会主义核心价值观 推进窗口服务水平上新台阶     

黄绍华 《浙江国土资源》2014,(9):49-50

积极培育和践行＂富强、民主、文明、和谐、自由、平等、公正、法治、爱国、敬业、诚信、友善＂的社会主义核心价值观,是新一届党中央加强社会主义文化建设提出的新要求。宁波市国土资源交易登记中心,承担市本级一级土地市场交易、全市采矿权交易、土地登记等职能,共有在编人员17名,临聘人员35名,下设四个群众服务窗口,宁波市国土资源系统市本级唯一的窗口服务单位。中心工作直接接触社会各界广大群众和服务对象,  相似文献