SGER: Applications of Remote Sensing and Image Processing in Studies of Forest Tree Population Dynamics and Ecology

小行星9617555 这项研究测试的可行性censususing森林树木种群利用遥感的库存，预测未来的人口水平，并筛选森林稀有，濒危或其他独特的个人（'生物勘探'）的广泛目的。 将用35毫米照相机在为期一年的15次飞越中收集绘制的森林地块的高分辨率彩色和彩色红外摄影图像。 方法将被开发，以自动化的过程中，从扫描图像外接个别树冠。 新的图像处理方法，以确定个人的物种将开发依赖于不同的物候发展的物种和不同的光谱反射特性。 这些技术的最终目标将是以适合于输入森林树木种群动态的大小相关矩阵种群模型的方式，对来自遥感图像的树木种群进行普查。 今后，星载传感器将有可能同时捕获高空间分辨率和光谱分辨率的图像。 人口一级的遥感应用尚处于初期阶段。 如果这些来源的数据可用于森林清查、人口预测和“生物勘探”，那么所进行的研究将可在区域和全球范围内适用于许多严重的环境问题。

9617555 McGraw This research tests the feasibility of censusing forest tree populations using remote sensing for the broad purposes of inventory, projection of future population levels, and screening the forest for rare, endangered or otherwise unique individuals ('bioprospecting'). High resolution color and color infrared photographic images of mapped, forested plots will be collected with 35mm cameras in fifteen overflights for a period of one year. Methods will be developed to automate the process of circumscribing individual tree canopies from scanned images. New image processing approaches to identify individuals to species will be developed which rely on differential phenological development of species and differing spectral reflectance properties. The ultimate goal of these techniques will be the censusing of populations of trees from remote imagery in a manner suitable for input to size-dependent matrix population models of forest tree population dynamics. In the future, satellite-borne sensors will likely be capable of both high spatial and spectral resolution image capturing. Population-level applications of remote-sensing are in their infancy. If data from such sources can be used for forest inventory, population projection and 'bioprospecting', the studies made possible will have regional and global applicability to numerous serious environmental problems.