干旱区生态环境知识资源中心(Arid): USING UAV IMAGERY TO MEASURE PLANT AND WATER STRESS IN WINTER WHEAT FIELDS OF DRYLANDS, SOUTH PUNJAB, PAKISTAN

Arid

DOI	10.21162/PAKJAS/21.648
	USING UAV IMAGERY TO MEASURE PLANT AND WATER STRESS IN WINTER WHEAT FIELDS OF DRYLANDS, SOUTH PUNJAB, PAKISTAN
	Mazhar, Nausheen; Shirazi, Safdar A.; Stringer, Lindsay C.; Manzoor, Sohail
通讯作者	Mazhar, N (corresponding author), Lahore Coll Women Univ, Dept Geog, Lahore, Pakistan. ; Mazhar, N (corresponding author), Univ Punjab, Dept Geog, Lahore, Pakistan. ; Mazhar, N (corresponding author), Univ Leeds, Sch Earth & Environm, Sustainabil Res Inst, Leeds, W Yorkshire, England.
来源期刊	PAKISTAN JOURNAL OF AGRICULTURAL SCIENCES
ISSN	0552-9034
EISSN	2076-0906
出版年	2021
卷号	58 期号:3 页码:1041-1050
英文摘要	Unmanned Aerial Vehicles (UAVs) can help farmers to monitor their crops and provide irrigation and inputs as and when the crops need, reducing risks to yields. This study uses UAV imagery to measure water and plant stress in the winter wheat fields, lying in high, medium and low Desertification Vulnerability Indexed (DVI) zones of South Punjab, a region that has an agrarian economy subject to severe desertification. UAV flights were conducted in nine wheat fields in three districts of Bahawalpur, Rahim Yar Khan and Rajanpur. Flights were operated at 15 m altitude above ground level at midday, February 2019, presenting good resolution images of 30.48ppi, in RGB, with a pixel depth of 16 Bit, from a DJI Phantom 3 Standard quadcopter. Dronedeploy was used for image pre-processing and generating orthomosaics of the nine fields. Orthomosaics were uploaded on the Agremo app, where water stress and plant stress analysis of the sampled fields was performed. Agremo generated maps were reclassified in Arc Map 10.5. Fatehpur Union Council, lying in the High DVI zone, was found to suffer most severe plant stress, potential plant stress, and water stress with 34.83%, 51.16% and 42.35% of the crop affected respectively. The sample fields in high DVI zones in two of the three study districts suffered the highest amounts of plant stress and water stress. The conclusions offer guidance to policy makers on where water redistribution may need to be considered so that exacerbating desertification risk can be avoided, particularly in the most vulnerable zones.
英文关键词	Unmanned aerial vehicle crop water stress index plant stress desertification vulnerability index
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000684227300005
WOS关键词	PRECISION AGRICULTURE ; CROP ; DESERTIFICATION ; TEMPERATURE ; VARIABILITY ; SYSTEMS ; INDEX
WOS类目	Agriculture, Multidisciplinary
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364278
作者单位	[Mazhar, Nausheen] Lahore Coll Women Univ, Dept Geog, Lahore, Pakistan; [Mazhar, Nausheen; Shirazi, Safdar A.] Univ Punjab, Dept Geog, Lahore, Pakistan; [Mazhar, Nausheen; Stringer, Lindsay C.] Univ Leeds, Sch Earth & Environm, Sustainabil Res Inst, Leeds, W Yorkshire, England; [Manzoor, Sohail] Livestock & Dairy Dept, Lahore, Punjab, Pakistan
推荐引用方式 GB/T 7714	Mazhar, Nausheen,Shirazi, Safdar A.,Stringer, Lindsay C.,et al. USING UAV IMAGERY TO MEASURE PLANT AND WATER STRESS IN WINTER WHEAT FIELDS OF DRYLANDS, SOUTH PUNJAB, PAKISTAN[J],2021,58(3):1041-1050.
APA	Mazhar, Nausheen,Shirazi, Safdar A.,Stringer, Lindsay C.,&Manzoor, Sohail.(2021).USING UAV IMAGERY TO MEASURE PLANT AND WATER STRESS IN WINTER WHEAT FIELDS OF DRYLANDS, SOUTH PUNJAB, PAKISTAN.PAKISTAN JOURNAL OF AGRICULTURAL SCIENCES,58(3),1041-1050.
MLA	Mazhar, Nausheen,et al."USING UAV IMAGERY TO MEASURE PLANT AND WATER STRESS IN WINTER WHEAT FIELDS OF DRYLANDS, SOUTH PUNJAB, PAKISTAN".PAKISTAN JOURNAL OF AGRICULTURAL SCIENCES 58.3(2021):1041-1050.