Using UAV Visible Images to Estimate the Soil Moisture of Steppe

Although unmanned aerial vehicles (UAVs) have been utilized in many aspects of steppe management, they have not been commonly used to monitor the soil moisture of steppes. To explore the technology of detecting soil moisture by UAV in a typical steppe, we conducted a watered test in the Loess Platea...

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Main Authors: Fengshuai Lu, Yi Sun, Fujiang Hou
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/9/2334
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spelling doaj-dcc7047e5b474e5f86ee5c9802e551982020-11-25T03:54:35ZengMDPI AGWater2073-44412020-08-01122334233410.3390/w12092334Using UAV Visible Images to Estimate the Soil Moisture of SteppeFengshuai Lu0Yi Sun1Fujiang Hou2State Key Laboratory of Grassland Agro-Escosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, ChinaInstitute of Fragile Eco-Environment, Nantong University, Nantong 226007, ChinaState Key Laboratory of Grassland Agro-Escosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, ChinaAlthough unmanned aerial vehicles (UAVs) have been utilized in many aspects of steppe management, they have not been commonly used to monitor the soil moisture of steppes. To explore the technology of detecting soil moisture by UAV in a typical steppe, we conducted a watered test in the Loess Plateau of China, quantitatively revealing the relationship between the surface soil moisture and the visible images captured using a UAV. The results showed that the surface soil moisture was significantly correlated with the brightness of UAV visible images, and the surface soil moisture could be estimated based on the brightness of the visible images of the UAV combined with vegetation coverage. This study addresses the problem of soil moisture measurement in flat regions of arid and semi-arid steppes at the mesoscale, and contributes to the popularization of the use of UAVs in steppe ecological research.https://www.mdpi.com/2073-4441/12/9/2334sheepgrazingvegetation coveragevisible imagebrightness
collection DOAJ
language English
format Article
sources DOAJ
author Fengshuai Lu
Yi Sun
Fujiang Hou
spellingShingle Fengshuai Lu
Yi Sun
Fujiang Hou
Using UAV Visible Images to Estimate the Soil Moisture of Steppe
Water
sheep
grazing
vegetation coverage
visible image
brightness
author_facet Fengshuai Lu
Yi Sun
Fujiang Hou
author_sort Fengshuai Lu
title Using UAV Visible Images to Estimate the Soil Moisture of Steppe
title_short Using UAV Visible Images to Estimate the Soil Moisture of Steppe
title_full Using UAV Visible Images to Estimate the Soil Moisture of Steppe
title_fullStr Using UAV Visible Images to Estimate the Soil Moisture of Steppe
title_full_unstemmed Using UAV Visible Images to Estimate the Soil Moisture of Steppe
title_sort using uav visible images to estimate the soil moisture of steppe
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2020-08-01
description Although unmanned aerial vehicles (UAVs) have been utilized in many aspects of steppe management, they have not been commonly used to monitor the soil moisture of steppes. To explore the technology of detecting soil moisture by UAV in a typical steppe, we conducted a watered test in the Loess Plateau of China, quantitatively revealing the relationship between the surface soil moisture and the visible images captured using a UAV. The results showed that the surface soil moisture was significantly correlated with the brightness of UAV visible images, and the surface soil moisture could be estimated based on the brightness of the visible images of the UAV combined with vegetation coverage. This study addresses the problem of soil moisture measurement in flat regions of arid and semi-arid steppes at the mesoscale, and contributes to the popularization of the use of UAVs in steppe ecological research.
topic sheep
grazing
vegetation coverage
visible image
brightness
url https://www.mdpi.com/2073-4441/12/9/2334
work_keys_str_mv AT fengshuailu usinguavvisibleimagestoestimatethesoilmoistureofsteppe
AT yisun usinguavvisibleimagestoestimatethesoilmoistureofsteppe
AT fujianghou usinguavvisibleimagestoestimatethesoilmoistureofsteppe
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