首页> 外文会议>Asian conference on remote sensing;ACRS >THE ESTIMATION OF SOIL MOISTURE IN AGRICULTURAL FIELDS IN NAKHON RATCHASIMA PROVINCE, THAILAND USING RADARSAT-2 IMAGERIES
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THE ESTIMATION OF SOIL MOISTURE IN AGRICULTURAL FIELDS IN NAKHON RATCHASIMA PROVINCE, THAILAND USING RADARSAT-2 IMAGERIES

机译:利用RADARSAT-2图像估算泰国那空拉差西米农业田地土壤水分。

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Due to the global warming in Thailand, characteristics of soil moisture have been very important for monitoring climate change and drought. In this respect, drought directly impacts on subsistence and usefulness of agricultural areas. However, due to the differences of topography and climate in various land uses, the volumes of soil moisture may be varying. Therefore, this research is proposed to generate maps of moisture levels by using C-band SAR and optical images at Nakhon Ratchasima province in northeastern part of Thailand. There are RADARSAT-2 images in standard mode (25m × 25m), dual polarization (HH and HV). The sigma nought/backscatter values are used to calculate statistical parameters of each pixel of the RADARSAT-2 image. This process uses mean, minimum, maximum and standard deviation of soil moisture in all coverage. To evaluate the accuracy of soil moisture estimated from RADARSAT-2 images, thirty positions in the study area were randomly selected and, at each sampled position, average soil moisture volume from ground measurement at 5 centimeter depth was then calculated which was used to compare with at estimated from RADARSAT-2 images. As a result, the soil moisture levels could be used to generate a trend of the soil moisture to use in a database for drought management.
机译:由于泰国全球变暖,土壤湿度的特征对于监测气候变化和干旱非常重要。在这方面,干旱直接影响农业地区的生存和有用性。但是,由于各种土地利用的地形和气候差异,土壤水分的数量可能会有所不同。因此,本研究建议通过使用C波段SAR和泰国东北那空叻差玛省的光学图像生成湿度水平图。在标准模式(25m×25m),双极化(HH和HV)下有RADARSAT-2图像。零/反向散射值用于计算RADARSAT-2图像每个像素的统计参数。此过程在所有覆盖范围内均使用土壤水分的均值,最小值,最大值和标准差。为了评估从RADARSAT-2图像估算的土壤水分的准确性,随机选择研究区域的30个位置,然后在每个采样位置计算5厘米深度地面测量的平均土壤水分量,将其与根据RADARSAT-2图像估算得出。结果,土壤水分水平可以用于产生土壤水分趋势,以用于干旱管理数据库中。

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