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首页> 外文期刊>International journal of remote sensing >Mapping recent deforestation in the Brazilian Amazon using simulated L-band MAPSAR images
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Mapping recent deforestation in the Brazilian Amazon using simulated L-band MAPSAR images

机译：使用模拟的L波段MAPSAR图像绘制巴西亚马逊地区最近的森林砍伐图

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Brazilian Amazon Forest biomes are presently under intensive land cover conversion from natural vegetation to agriculture. Timely detection of recent deforestation through orbital remote sensing is a critical requirement for an operational land cover monitoring system in order to provide information to the regulatory systems and decision makers. Optical images present drawbacks for operation in the moist tropics and synthetic aperture radar (SAR) data are a real alternative. The feasibility of using multipolarizcd L-band images simulating the Multi-Application Purpose SAR (MAPSAR) satellite was examined for the detection of recent deforestation in the Tapajos region. The discrimination of recent deforestation from other land cover classes was evaluated through a quantitative analysis based on Jeffreys- Matusitas (JM) distances derived from training samples using amplitude values and supported by field survey. The investigation confirmed the possibility of the discrimination of recently deforested classes from other classes based on the L-band images as proposed in the MAPSAR.
机译：目前，巴西亚马逊森林生物群落正处于从自然植被到农业的密集土地覆盖转换中。为了通过运行的土地覆盖监测系统向监管系统和决策者提供信息，通过轨道遥感及时发现最近的森林砍伐是至关重要的要求。光学图像在潮湿的热带地区存在运行缺陷，而合成孔径雷达（SAR）数据是真正的替代选择。检验了使用多极化L波段图像模拟多用途SAR（MAPSAR）卫星的可行性，以检测Tapajos地区最近的森林砍伐情况。通过基于使用幅度值从训练样本中得出并得到现场调查支持的杰弗里斯-马图西塔斯（JM）距离的定量分析，评估了对近期其他森林覆盖区森林砍伐的区分。调查证实，有可能根据MAPSAR中提出的L波段图像将最近砍伐的森林类别与其他类别区分开。

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