题名

Using Sentinel-l & 2 Data to Estimate Spatial Distribution of Soil Moisture - A Case Study of Piliao Area in Taoyuan

并列篇名

利用Sentinel-1 & 2遙測資料推估土壤含水量空間分布－以桃園皮寮地區為例

DOI

10.6937/TWC.202306_71(2).0005

作者

JING-EN XIAO；KAM-LON CHAN；HUA-TING TSENG；SHIH-YAO LEE；HWA-LUNG YU

关键词

Soil moisture ； synthetic aperture radar ； remote sensing ； water-cloud model

期刊名称

台灣水利

卷期/出版年月

71卷2期（2023 / 06 / 01）

页次

55 - 70

内容语文

英文;繁體中文
中文摘要

Soil moisture is one of the significant variables in the fields of meteorological, hydrologic, and agriculture applications. This article utilizes the SENTINEL-1 SAR (synthetic aperture radar) and SENTINEL-2 multispectral satellite data to evaluate the spatial and temporal soil moisture distribution in the Piliao area. This study employs the water cloud model to distinguish the backscattering coefficient from the effects of soil moisture and vegetation coverage, and to estimate soil moisture. Furthermore, the integration of artificial neural network and a radiative transfer model, i.e., PROSAIL, was used to extract the vegetation related parameters for the water cloud model, i.e., LAI and canopy water content. Results show that the r-square value between radar backscattering coefficient and soil moisture increased from 0.33 to 0.53 with considering the vegetation coverage effect. The spatial estimation of soil moisture in Piliao area was conducted at selected times. It shows that soil moisture is related to crop types and their growth periods, which is identified by comparing LAI and soil moisture estimation. Our results can serve as a useful reference for irrigation water management in the study area.
主题分类 工程學 > 水利工程
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