Terrestrial and Submerged Aquatic Vegetation Mapping in Fire Island National Seashore Using High Spatial Resolution Remote Sensing Data

The vegetation communities and spatial patterns on the Fire Island National Seashore are dynamic as the result of interactions with driving forces such as sand deposition, storm-driven over wash, salt spray, surface water, as well as with human disturbances. We used high spatial resolution QuickBird-2 satellite remote sensing data to map both terrestrial and submerged aquatic vegetation communities of the National Seashore. We adopted a stratified classification and unsupervised classification approach for mapping terrestrial vegetation types. Our classification scheme included detailed terrestrial vegetation types identified by previous vegetation mapping efforts of the National Park Service and three generalized categories of high-density seagrass, low-density seagrass coverages, and unvegetated bottom to map the submerged aquatic vegetation habitats. We used underwater videography, GPS-guided field reference photography, and bathymetric data to support remote sensing image classification and information extraction. This study achieved approximately 82% and 75% overall classification accuracy for the terrestrial and submnerged aquatic vegetations, respectively, and provided an updated vegetation inventory and change analysis for the Northeast Coastal and Barrier Network of the National Park Service.     

协方差阵二次型容许估计的一个必要条件

研究协方差阵Σ的二次型容许估计问题。设 y1,y2 ,… ,yniid,n≥ 2 ,y1与 p维正态分布N (β,Σ )有相同的前四阶矩。其中β =(β1,β2 ,… ,βp)′∈ Rp与Σ =(σij) p× p >0均未知。记 y =△ (y1,y2 ,… ,yn)′。在二次损失 L (d ,Σ ) =tr(d -Σ) 2下给出Σ的二次型估计 a S2 + nby-y-′是容许估计的必要条件为 :(n - 1) a + b + 2 max(a,b)≤ 1。此必要条件比张立振等协方差阵的二次型容许估计中的必要条件有了明显的加强     

增长曲线模型中线性估计类所有可容许估计

对增长曲线模型中回归矩阵的函数的线性估计进行了研究。在矩阵损失下 ,作者得到了线性估计在一切线性估计类中可容许的充要条件     

中国西部地区基于经验模型的土壤水分反演

地表土壤水分含量的时空分布信息是十分重要的,常常作为水文模型、气候模型、生态模型的输入参数,同时,也是干旱预报、农作物估产等工作的重要指标。被动微波遥感是监测土壤含水量最有效的手段之一。相比红外与可见光,它具有波长长,穿透能力强的优势。相比主动微波雷达,被动微波辐射计具有监测面积大、周期短,受粗糙度影响小,对土壤水分更为敏感,算法更为成熟的优势。目前,已研究出许多反演土壤水分的方法.本课题的主要内容是借助AMSR-E土壤水分影像数据、MODIS归一化植被指数(NDVI)影像数据和MODIS分类影像数据,利用ENVI软件进行遥感图像数据处理,运用统计分析方法建立NDVI与土壤水分的经验模型,研究中国西部地区稀疏植被覆盖区土壤水分的反演。     

Applications of AnnAGNPS model for soil loss estimation and nutrient loading for Malaysian conditions

The study evaluated the performance and suitability of AnnAGNPS model in assessing runoff, sediment loading and nutrient loading under Malaysian conditions. The watershed of River Kuala Tasik in Malaysia, a combination of two sub-watersheds, was selected as the area of study. The data for the year 2004 was used to calibrate the model and the data for the year 2005 was used for validation purposes. Several input parameters were computed using methods suggested by other researchers and studies carried out in Malaysia. The study shows that runoff was predicted well with an overall R² value of 0.90 and E value of 0.70. Sediment loading was able to produce a moderate result of R² = 0.66 and E = 0.49, nitrogen loading predictions were slightly better with R² = 0.68 and E = 0.53, and phosphorus loading performance was slightly poor with an R² = 0.63 and E = 0.33. The erosion map developed was in agreement with the erosion risk map produced by the Department of Agriculture, Malaysia. Rubber estates and urban areas were found to be the main contributors to soil erosion. The simulation results showed that AnnAGNPS has the potential to be used as a valuable tool for planning and management of watersheds under Malaysian conditions.     

大民屯凹陷烃源岩有机质丰度的恢复

烃源岩有机质丰度的恢复具有重要的现实和理论意义。笔者在对比多种方法的基础上,对大民屯凹陷的烃源岩的有机质丰度进行了恢复。     

山东郓城矿井建设项目环境经济损益分析

建设项目环境影响评价中的环境经济损益分析部分,目前多是定性的简单分析,不能满足环境影响评价精度要求。本文对山东里能集团有限公司巨野矿区郓城矿井环境影响评价时,探讨了定量化的环境经济损益分析。     

基于ASTER遥感影像的亚热带植被覆盖度信息提取

根据植被指数估算植被覆盖度的原理,以混合像元线性分解模型两个重要参数为基础,建立基于归一化植被指数(NDVI)进行估算植被覆盖度模型是研究区域植被覆盖度的一种重要方法.本文以广州市花都区为实验区,利用ASTER高光谱影像对此方法进行验证性分析,实验结果表明:用该方法提取ASTER影像的植被覆盖度具有较好的可行性.     

纪伊半岛地区植被净初级生产力的遥感应用研究

在高光谱数据模式分解方法(PDM)的基础上,建立了一种新的植被指数(VIPD)。根据地面植被光合成实验,建立了有效光合成曲线植被净初级生产力(NPP)遥感估算模型,利用2001年各月份的MODIS影像数据,估算得到纪伊半岛地区的各类NPP。研究发现,该地区的温带常绿林NPP年均值与2001年IPCC调查报告和地面实测得到的估算值在误差范围内一致。实验证明,该光合成曲线NPP估算模型能够有效地利用高光谱数据,且能较好地应用于温带植被研究。     

鄂尔多斯高原植被生态分区及其水文地质意义

保护生态环境是鄂尔多斯高原地下水可持续开发利用中亟待解决的问题。在查清植被生态群落分布特征的基础上,通过分析植被演替的自然驱动因素,将鄂尔多斯高原的植被生态划分为基岩台地植被生态水文地质区、沙盖基岩植被生态水文地质区、沙地植被生态水文地质区和滩地植被生态水文地质区。结果表明,气象和地形地貌控制着区内植被生态的总体分布格局,包气带和地下水因素控制着植被生态的演替,沙地植被生态和滩地植被生态的生长发育与地下水关系密切,是地下水开发时保护植被生态的靶区。