Measurement of land surface temperature from oblique angle airborne thermal camera observations

被引：14

作者：

Byerlay, Ryan A. E. ^{[1
]}

Nambiar, Manoj K. ^{[1
]}

Nazem, Amir ^{[1
]}

Nahian, Md. Rafsan ^{[1
]}

Biglarbegian, Mohammad ^{[1
]}

Aliabadi, Amir A. ^{[1
]}

机构：

[1] Univ Guelph, Sch Engn, Guelph, ON, Canada

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2020年 / 41卷 / 08期

基金：

加拿大自然科学与工程研究理事会;

关键词：

UNMANNED AERIAL SYSTEMS; REMOTELY-SENSED DATA; UAV; ACCURACY; PHOTOGRAMMETRY; ASSIMILATION; CALIBRATION; CHALLENGES; RIVERS; IMAGES;

D O I：

10.1080/01431161.2019.1699672

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

This paper presents a novel airborne remote sensing method using thermal imaging to directly georeference and calculate Earth surface temperature with a high spatiotemporal resolution. A tethered balloon is used to elevate an uncooled thermal camera in the field. When deployed, images with oblique view angles of the surrounding Earth surface are collected. Images recorded from a field environmental monitoring campaign in a northern Canadian mining facility are processed with open source software, and it is shown that they successfully represent the diurnal and spatial surface temperature variations within the facility. Furthermore, in comparison to MODerate resolution Imaging Spectroradiometer (MODIS) satellite images, the approach results in a median absolute error of 0.64 K, with a bias and Root Mean Square Error (RMSE) of 0.5 K and 5.45 K, respectively.

引用

页码：3119 / 3146

页数：28

共 76 条

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