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首页> 外文会议>Asian conference on remote sensing;ACRS >EXTRACTION OF GULLY EROSION FEATURES ON HILLY CORN FIELD IN THE NORTHERN LUZON ISLAND OF THE PHILIPPINES USING SATELLITE REMOTE SENSING DATA
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EXTRACTION OF GULLY EROSION FEATURES ON HILLY CORN FIELD IN THE NORTHERN LUZON ISLAND OF THE PHILIPPINES USING SATELLITE REMOTE SENSING DATA

机译：利用卫星遥感数据提取菲律宾北部卢松岛丘陵丘陵沟壑区侵蚀侵蚀特征

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Gully erosion is appeared widely on sloping arable land caused by high intensity rainfall and it would bring deterioration of agricultural productivity of land. In the northern part of Luzon Island of the Philippines, farmers reported that gully erosion was severely developed in recent years in some areas of corn fields located on hilly land. In order to understand the actual condition of development of gully erosion, we attempted to develop a method to extract spatial distribution of gullies and to analyze recent development of gully associated with land use changes by using multi-platform satellite data. Gully-eroded areas are presented as dark linear features on satellite images on the condition that the spatial resolution of satellite data is small enough. The average gully top width in this case was about 2 meters, which was considerably larger compared with the 0.5 meter spatial resolution of the WorldView panchromatic data adopted in this study. After performing median filtering to reduce local noise, the Sobel filter was applied to enhance the edge features of the image. At this stage, enhanced linear parts were contaminated with gully and non-gully objects. Thereafter, the following processes were undertaken to extract only the gully-affected areas; first, the topographic factors were considered by enhancing the image contrast of the pixels oriented orthogonally to the slope orientation, second, texture parameters (window size: 21 by 21 pixels) were calculated and non-gully objects were discriminated after setting an appropriate threshold, and third, forest areas were estimated from multi-temporal ALOS/AVNIR2 data and set it as masked out area. It was notified that the second process was effective in masking out non-gully parts such as roads, houses, piles of crop residue, irregular ground conditions on arable land, and so on. According to the results of comparison with the field surveyed data of location of head and end of major gullies, it concluded that 63.4 percent of gullies were properly extracted. We then examined facts of recent occurrence of gullies in comparison with deforestation process estimated from multi-temporal Landsat/TM/ETM+ and ALOS/AVNIR2 data. The result revealed that gully eroded area was presented even in the part where forest cover was cleared after the year of 2000. This suggested that gully erosion could be significantly developed from non-gully condition in short period such as less than 10 years.
机译：高强度降雨在倾斜的耕地上广泛发生沟壑侵蚀，将使土地的农业生产力下降。在菲律宾的吕宋岛北部，农民报告说，近年来，丘陵地上玉米田的一些地区严重侵蚀了沟壑。为了了解沟壑侵蚀发展的实际情况，我们尝试开发一种方法来提取沟壑的空间分布，并通过使用多平台卫星数据来分析与土地利用变化相关的沟壑的最新发展。在卫星数据的空间分辨率足够小的条件下，沟蚀区域在卫星图像上显示为暗线性特征。在这种情况下，平均沟壑顶部宽度约为2米，与本研究采用的WorldView全色数据的0.5米空间分辨率相比，要大得多。在执行中值滤波以减少局部噪声之后，应用了Sobel滤波器来增强图像的边缘特征。在此阶段，增强的线性零件被沟壑和非沟壑物体污染。此后，进行以下过程以仅提取受沟壑影响的区域。首先，通过增强与坡度方向正交的像素的图像对比度来考虑地形因素，其次，计算纹理参数（窗口大小：21 x 21像素），并在设置适当的阈值后区分非沟壑对象，第三，根据多时相ALOS / AVNIR2数据估算森林面积，并将其设置为掩蔽区域。据悉，第二步工艺可以有效地遮盖道路，房屋，农作物残渣堆，耕地上不规则的地面条件等非沟壑部分。根据与主要沟壑的位置和位置的实地调查数据的比较结果，得出正确提取了63.4％的沟壑的结论。然后，根据多时间Landsat / TM / ETM +和ALOS / AVNIR2数据估计的毁林过程，我们检查了最近发生的沟壑的事实。结果表明，即使在2000年后清除森林覆盖的部分，也存在沟壑侵蚀区域。这表明在不到10年的短时间内，非沟壑条件下的沟壑侵蚀可能会显着发展。

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