Use of Radar Remote Sensing (RADARSAT) to Map Winter Wetland Habitat for Shorebirds in an Agricultural Landscape

Many of todays agricultural landscapes once held vast amounts of wetland habitat for waterbirds and other wildlife. Successful restoration of these landscapes relies on access to accurate maps of the wetlands that remain. We used C-band (5.6-cm-wavelength), HH-polarized radar remote sensing (RADARSAT) at a 38° incidence angle (8-m resolution) to map the distribution of winter shorebird (Charadriiformes) habitat on agricultural lands in the Willamette Valley of western Oregon. We acquired imagery on three dates (10 December 1999, 27 January 2000, and 15 March 2000) and simultaneously collected ground reference data to classify radar signatures and evaluate map accuracy of four habitat classes: (1) wet with 50% vegetation (considered optimal shorebird habitat), (2) wet with > 50% vegetation, (3) dry with 50% vegetation, and (4) dry with > 50% vegetation. Overall accuracy varied from 45 to 60% among the three images, but the accuracy of focal class 1 was greater, ranging from 72 to 80%. Class 4 coverage was stable and dominated maps (40% of mapped study area) for all three dates, while coverage of class 3 decreased slightly throughout the study period. Among wet classes, class 1 was most abundant (about 30% coverage) in December and January, decreasing in March to approximately 15%. Conversely, class 2 increased dramatically from January to March, likely due to transition from class 1 as vegetation grew. This approach was successful in detecting optimal habitat for shorebirds on agricultural lands. For modest classification schemes, radar remote sensing is a valuable option for wetland mapping in areas where cloud cover is persistent. Also, Department of Fisheries and Wildlife, Oregon State University, Corvallis, Oregon 97331, USA     

遥感技术在油田开发建设项目景观生态评价中的应用

在油田开发建设项目的环境影响评价中,使用遥感技术,将卫星遥感影像数据进行分类处理,结合传统生态学中计算植被优势度值的方法,对油田开发过程中的景观生态进行了评价,取得了较好的效果。简要介绍了该技术的功能特点及应用实例。应用结果表明:遥感技术是对油田开发建设项目景观进行生态评价的重要手段,可以取得真实、可信的评价结果。     

基于遥感技术的土地利用/土地覆盖提取信息精度研究——以艾比湖湿地保护区为例

利用中巴资源卫星资料提取艾比湖湿地保护区LUCC的现状信息作为基础资料进行精度检验,主要运用实地景观的比对,并充分考虑了点的空间分布,在采点方面,研究分层采点法,在误差矩阵法和Kappa系数法的基础上尝试了权重法和平均法,用这几种方法对该区LUCC的现状数据进行检验,结果相吻合.