干旱区生态环境知识资源中心(Arid): UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil

Arid

DOI	10.1016/j.isprsjprs.2021.01.014
	UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil
	Das, Sumanta; Christopher, Jack; Apan, Armando; Choudhury, Malini Roy; Chapman, Scott; Menzies, Neal W.; Dang, Yash P.
通讯作者	Das, S (corresponding author), Univ Queensland, Sch Agr & Food Sci, St Lucia, Qld 4072, Australia.
来源期刊	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN	0924-2716
EISSN	1872-8235
出版年	2021
卷号	173 页码:221-237
英文摘要	Sodicity is a major soil constraint in many arid and semi-arid regions worldwide, including Australia, which adversely affects the ability of crops to take up water and nutrients from the soil, reducing yield. Reliable methods and tools are required for appropriate selection of traits, may provide a better understanding of crop responses to multiple stresses, especially in sodic soil. A novel strategy was developed using unmanned aerial vehicle (UAV)-thermal imaging and agglomerative hierarchical clustering-based techniques to evaluate and rank the physiological performance of 18 contrasting wheat genotypes grown on a moderately sodic and a highly sodic soil in north-eastern Australia. We obtained UAV-thermal imaging data at different times of the day (9:30, 12:00, and 15:00 hrs) close to flowering stage. Crop biophysical parameters (Leaf potassium concentration, normalized difference vegetation index, crop water uptake, stomatal conductance, plant moisture content, and aboveground biomass) were measured at close to flowering by destructive plant sampling and ground-based proximal sensing and yield was machine harvested at maturity. Canopy temperatures derived from thermal imagery between 28.9 and 35.4 degrees C were observed at the moderately sodic site, and between 36.2 and 41.0 degrees C at the highly sodic site from 9:30 to 15:00 hrs. Canopy temperature was consistently higher than corresponding ambient air temperatures indicating plant water stress at both sites. While the air temperature was not significantly different (p > 0.05) between the two sites, canopy temperature was significantly higher (p < 0.01) on highly sodic soil compared to moderately sodic soil, indicating greater water stress at the highly sodic site. This difference was most likely due to the adverse impacts of sodic soil constraints and not primarily due to environmental variations. Hence, our study revealed that sodic soil constraints can intensify plant water stress. Statistical analysis between canopy temperature (9:30, 12:00, and 15:00 hrs) and crop biophysical parameters showed close negative correlations at both moderately sodic (R-2 = 0.54 to 0.83) and highly sodic (R-2 = 0.30 to 0.89) sites. A closer correlation was observed at 15:00 hrs for both sites. Thus, high-resolution UAV-thermal imaging has potential to detect water-stressed plants on sodic soil. Agglomerative hierarchical clustering was used as an unsupervised machine learning tool for ranking of physiological performance of wheat genotypes. Results suggest that UAV-thermal imaging and AHC techniques can discriminate cultivars tolerant to sodicity. The study improves our understanding of crop physiological behaviour and can assist farmers in selection of water stress tolerant genotypes to sustain food security in sodic soil under water-limited environments.
英文关键词	Canopy temperature Plant water stress Vegetation indices Agglomerative hierarchical clustering Wheat genotypes Sodic soil
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000640986100015
WOS关键词	CANOPY TEMPERATURE DEPRESSION ; CROP WATER-STRESS ; GRAIN-YIELD ; SELECTION ; PLANTS ; AUSTRALIA ; SATELLITE ; LEAF ; EVAPOTRANSPIRATION ; CONDUCTANCE
WOS类目	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350623
作者单位	[Das, Sumanta; Choudhury, Malini Roy; Chapman, Scott; Menzies, Neal W.; Dang, Yash P.] Univ Queensland, Sch Agr & Food Sci, St Lucia, Qld 4072, Australia; [Christopher, Jack; Chapman, Scott; Menzies, Neal W.] Univ Queensland, Leslie Res Facil, Queensland Alliance Agr & Food Innovat, Toowoomba, Qld 4350, Australia; [Apan, Armando] Univ Southern Queensland, Sch Civil Engn & Surveying, Toowoomba, Qld 4350, Australia; [Apan, Armando] Univ Philippines Diliman, Inst Environm Sci & Meteorol, Quezon City 1101, Philippines
推荐引用方式 GB/T 7714	Das, Sumanta,Christopher, Jack,Apan, Armando,et al. UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil[J],2021,173:221-237.
APA	Das, Sumanta.,Christopher, Jack.,Apan, Armando.,Choudhury, Malini Roy.,Chapman, Scott.,...&Dang, Yash P..(2021).UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,173,221-237.
MLA	Das, Sumanta,et al."UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 173(2021):221-237.