Estimating Soil Moisture Content Using Unmanned Aerial Vehicles Equipped with Thermal Infrared Sensors

被引：0
|
作者：
Chang, Kuan-Tsung [1 ]
Hsu, Wei-Ling [2 ]
机构：
[1] Ming Hsin Univ Sci & Technol, Dept Civil Engn & Environm Informat, Xinfeng Township, Taiwan
[2] Huaiyin Normal Univ, Sch Urban & Environm Sci, Huaian City, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF 4TH IEEE INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION 2018 ( IEEE ICASI 2018 ) | 2018年
关键词：
Thermal Sensors; Soil Moisture Content; Unmanned Aerial Vehicles;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This study quantitatively analyzed the effects of land cover change and soil moisture content on regional thermal environments by using unmanned aerial vehicles equipped with thermal imaging sensors. Soil-related linear equations were incorporated into image-based change analysis to derive data on land cover change that were associated with soil moisture conditions. The objective of this study was to employ a payload comprising a thermal infrared sensor to detect land surface temperature and collect real-time soil moisture data in order to construct a model for estimating surface soil moisture content for various types of land cover.
引用
收藏
页码：168 / 171
页数：4
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