Spatial Analyses of Logging Impacts in Amazonia Using Remotely Sensed Data
Spatial Analyses of Logging Impacts in Amazonia Using Remotely Sensed Data
复制标题
使用遥感数据对亚马逊地区的伐木影响进行空间分析
DOI：
10.14358/pers.69.3.275
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发表时间：
2003
影响因子：
1.3
通讯作者：
Jane M. Read
中科院分区：
文献类型：
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作者：
Jane M. Read
(see例如，在一个实施例中，Sist（2000年），其中研究了选定空间方法的性能，包括从道路开口到树落间隙的一系列影响，这些影响表征了各种尺寸的影响较小的原木开口中的树冠干扰，这为使用Landsat-7 ETM检查亚马逊河中部的操作提供了一个很好的机会，并在探测树冠Ikonos可见时使用空间方法的性能，近红外线和标准化差异vege-disturbances在低端的测井影响。站点索引数据。纹理、分维（D）和Moran’s本文描述了空间方法的潜力，用于计算（1）利用卫星数据表征管理的10种热带森林的空间自相关指数。本研究的目的是（1）调查敏感的庭院（L）和古老的森林（OG）;（2）335公顷的地块的Ikonos和Landsat 7 ETM数据选择性伐木代表LF和OG。在中央亚马逊森林的影响，（2）调查的perIkonos数据是敏感的道路，天井，和一些选定的空间方法来表征测井间隙，而ETM数据只敏感的主要减少影响测井活动沿着一个简单的干扰测井功能。空间方法在特征梯度上是有效的;（3）检验在两个样地图形尺度上测量和地化不同测井特征处理对这些方法结果的影响。这是大小; DTPSA和莫兰的我是最敏感的细尺度实现通过比较所选的空间表面细节的行为。空间方法显示出在不同的测量和地理尺度上的监测方法的潜力，在两个地块大小上使用景观Ikonos和ETM数据的伐木活动的存储和管理。评价方法。鉴于遥感数据的纹理、空间自相关和分形维数的不断增加，强调了尺度的重要性。锡永。这项研究是在巴西马瑙斯附近的一个潮湿的热带森林减少影响的伐木作业中进行的，
(see, e.g., Sist (2000) for details on RIL operations), which Performances of selected spatial methods are investigated for include a range of impacts from road openings to treefall gap characterizing canopy disturbance in a reduced-impact log- openings of various sizes, present a good opportunity to examging operation in central Amazonia using Landsat-7 ETM and ine the performances of spatial methods in detecting canopy Ikonos visible, near-infrared, and normalized difference vege- disturbances at the low end of logging impacts. tation index data. Texture, fractal dimension (D), and Moran’s This paper describes the potential of spatial methods for I index of spatial autocorrelation were calculated for (1) 10- characterizing managed tropical forests using satellite data. ha plots representing logged (LF), logged excluding major roads The objectives of this study were to (1) investigate the sensitivand patios (L), and old-growth (OG) forest; and (2) 335-ha plots ity of Ikonos and Landsat 7 ETM data to selective logging representing LF and OG. impacts in a central Amazonian forest, (2) investigate the perIkonos data were sensitive to roads, patios, and some formance of selected spatial methods for characterizing logging gaps, whereas ETM data were only sensitive to major reduced-impact logging activities along a simple disturbance logging features. The spatial methods were effective at charac- gradient, and (3) examine the effects of measurement and geoterizing the different logging feature treatments at both plot graphic scales on the outcomes of these methods. This was sizes; DTPSA and Moran’s I were most sensitive to fine-scale achieved through comparing the behavior of selected spatial surface details. The spatial methods show potential for moni- methods at different measurement and geographic scales using toring and management of logging activities over landscape Ikonos and ETM data over two plot sizes. The methods evaluscales. The importance of scale, given the ever-increasing ated were texture, spatial autocorrelation, and fractal dimenchoice of remotely sensed data, is emphasized. sion. The research was carried out in a moist tropical forest reduced-impact logging operation near Manaus, Brazil, where