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首页> 外文学位 >Assessing ecological functions of bottomland hardwood wetlands using remote sensing and geographic information systems.
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Assessing ecological functions of bottomland hardwood wetlands using remote sensing and geographic information systems.

机译：使用遥感和地理信息系统评估底层硬木湿地的生态功能。

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摘要

Bottomland hardwoods are one of the most rapidly diminishing wetland ecosystems due to agricultural clearing, development, and reservoir construction. As society has become more aware of the values and functions of wetlands, so has the importance in conservation of these valuable resources. The objective of this study is to compare the accuracy of Remote Sensing/Geographic Information System (GIS) based functional assessment to the field based Hydrogeomorphic (HGM) approach. An accurate Remote Sensing/GIS based functional assessment can be valuable to those interested in wetland management as field work requires greater expense of labor, equipment, and time. Remote sensing models were developed for the Stephen F. Austin Experimental Forest using a combination of soil maps, soil information, QuickBird RTM multispectral satellite imagery, LiDAR derived Digital Elevation Model (DEM), and LiDAR derived Canopy Height Model. Each of the data layers was prepared in raster format and was recoded with low ratings as 1, medium ratings as 2, and high ratings as 3 in terms of its wetland function. A composite raster layer was created through pixel value addition. Then each pixel value total was divided by the highest possible value total to give the ratio pixel value as a Functional Capacity Index (FCI). The FCIs for each modeled function was then compared to the corresponding HGM field measured function FCIs for accuracy assessment.;Use of the developed models is cautioned as the statistical results are mixed. All functions and function averages have significant positive correlations except for the Cycling of Nutrients, Detain Precipitation, and Maintenance of Plant Communities functions. The Export of Organic Carbon function has the highest r value, 0.69 (p 0.001) but a high RMSE value (0.06) and sampling error percentage (8.82%). The Detain Floodwater function had a moderately high correlation (r = 0.58, p-value 0.001), but had the highest RMSE value (0.07) and sampling error percentage (10.61%). All functions and function averages, except for the Overall Wetland Average, have corresponding model and field based means that are significantly different. The Overall Wetland Average appears to be the most successful of all the function and function averages due to it having a moderately high correlation (r = 0.44, p-value 0.001), model and field based means that were not significantly different (t-value = 0.47, p-value = 0.64), and the lowest RMSE value and sampling error percentage (0.01, 1.28% respectively).
机译：由于农业清理，发展和水库建设，底特兰硬木是最迅速减少的湿地生态系统之一。随着社会越来越意识到湿地的价值和功能，保护这些宝贵资源的重要性也越来越高。这项研究的目的是将基于遥感/地理信息系统（GIS）的功能评估的准确性与基于现场的水文地理（HGM）方法进行比较。对于那些对湿地管理感兴趣的人来说，基于遥感/ GIS的准确功能评估可能很有价值，因为野外工作需要更多的人工，设备和时间开销。利用土壤地图，土壤信息，QuickBird RTM多光谱卫星图像，LiDAR衍生的数字高程模型（DEM）和LiDAR衍生的冠层高度模型，为Stephen F. Austin实验森林开发了遥感模型。每个数据层均以栅格格式准备，就其湿地功能而言，将低等级重新编码为1，将中等等级重新编码为2，将高等级重新编码为3。通过添加像素值创建了复合栅格图层。然后，将每个像素值的总和除以可能的最高值的总和，以得到比率像素值作为功能容量指数（FCI）。然后将每个建模函数的FCI与对应的HGM现场测量函数FCI进行比较，以进行准确性评估。注意：由于统计结果混合，建议谨慎使用已开发的模型。除了养分循环，滞留沉淀和植物群落功能维持以外，所有功能和功能平均值均具有显着的正相关。有机碳输出功能的r值最高，为0.69（p <0.001），但RMSE值（0.06）和采样误差百分比（8.82％）高。滞洪功能具有较高的相关性（r = 0.58，p值<0.001），但具有最高的RMSE值（0.07）和抽样误差百分比（10.61％）。除总体湿地平均值外，所有功能和功能平均值均具有明显不同的相应模型和基于现场的平均值。总体湿地平均值似乎是所有功能和功能平均值中最成功的，因为它具有中等程度的相关性（r = 0.44，p值<0.001），基于模型和领域的均值没有显着差异（t-值= 0.47，p值= 0.64），最低RMSE值和抽样误差百分比（分别为0.01、1.28％）。

著录项

  • 作者

    McNamee, Rachel Suzanne.;

  • 作者单位

    Stephen F. Austin State University.;

  • 授予单位 Stephen F. Austin State University.;
  • 学科 Environmental Sciences.;Remote Sensing.
  • 学位 M.S.
  • 年度 2009
  • 页码 166 p.
  • 总页数 166
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境科学基础理论;遥感技术;
  • 关键词

  • 入库时间 2022-08-17 11:38:30

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