干旱区生态环境知识资源中心(Arid): Spatio-temporal analysis of chickpea crop in arid environment by comparing high-resolution UAV image and LANDSAT imagery

Arid

DOI	10.1007/s13762-021-03502-z
	Spatio-temporal analysis of chickpea crop in arid environment by comparing high-resolution UAV image and LANDSAT imagery
	Ahmad, N.; Iqbal, J.; Shaheen, A.; Ghfar, A.; AL-Anazy, M. M.; Ouladsmane, M.
通讯作者	Ahmad, N (corresponding author), Natl Univ Sci & Technol, Inst Geog Informat Syst, Islamabad 44000, Pakistan.
来源期刊	INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
ISSN	1735-1472
EISSN	1735-2630
出版年	2021-06
英文摘要	Remotely sensed data play an essential role in environmental analysis and crop management. The arid agriculture region of Thal, Pakistan, is the major chickpea-growing region of the world. It was important to analyze the chickpea growth rate and yield with modern growing technology for better production in the changing climate. This study compared unmanned aerial vehicle (UAV) and Landsat imagery to monitor the crop growth and environmental parameters throughout the growing season. Twelve plots (2 x 2 m) were established in the field to monitor seven environmental parameters (plant height, number of pods and plant density, and final yield) for chickpea crop growth. A UAV drone mounted with Zenmuse X3 camera with four spectral was flown over the chickpea field on a biweekly basis to capture images with a spatial resolution of 1.86 m. The Landsat imagery (30 m spatial resolution) was also obtained, having the same UAV flight date. In spatio-temporal analysis, various vegetation indices, i.e., normalized difference vegetation index (NDVI) and soil-adjusted vegetation index (SAVI), were derived from UAV and Landsat imageries. The environmental impact parameters for crop growth were compared with the estimated final yield of chickpea crop. A coefficient of correlation (r(2) = 0.67; p <= 0.05) between observed chickpea crop yield and UAV-derived SAVI was significant (p <= 0.05). In comparison, a non-significant coefficient (r(2) = 0.21; p >= 0.05) was found between NDVI derived from Landsat imagery with yield. The chickpea crop yield was analyzed by estimating simple linear regression between NDVI and actual yield of chickpea crop during 30-40 days before the harvesting period. The average difference between actual yield and predicted yield through SAVI-D and NDVI-L was 558.42, 553.12, 556.84 kg/ha, respectively.
英文关键词	Environmental impact Vegetation indices Crop yield Unmanned aerial vehicle Chickpea crop
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000668038400001
WOS关键词	YIELD ESTIMATION ; MULTISPECTRAL IMAGERY ; PRECISION AGRICULTURE ; HEAVY-METALS ; SATELLITE ; AREA ; PROTEIN ; INDEX ; RICE ; NDVI
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	King Saud University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367526
作者单位	[Ahmad, N.; Iqbal, J.] Natl Univ Sci & Technol, Inst Geog Informat Syst, Islamabad 44000, Pakistan; [Shaheen, A.] Univ Sargodha, Dept Earth Sci, Sargodha 41000, Pakistan; [Ghfar, A.; Ouladsmane, M.] King Saud Univ, Coll Sci, Chem Dept, Adv Mat Res Chair, POB 2455, Riyadh 11451, Saudi Arabia; [AL-Anazy, M. M.] Princess Nourah Bint Abdulrahman Univ, Dept Chem, Coll Sci, POB 84428, Riyadh 11671, Saudi Arabia
推荐引用方式 GB/T 7714	Ahmad, N.,Iqbal, J.,Shaheen, A.,et al. Spatio-temporal analysis of chickpea crop in arid environment by comparing high-resolution UAV image and LANDSAT imagery[J]. King Saud University,2021.
APA	Ahmad, N.,Iqbal, J.,Shaheen, A.,Ghfar, A.,AL-Anazy, M. M.,&Ouladsmane, M..(2021).Spatio-temporal analysis of chickpea crop in arid environment by comparing high-resolution UAV image and LANDSAT imagery.INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY.
MLA	Ahmad, N.,et al."Spatio-temporal analysis of chickpea crop in arid environment by comparing high-resolution UAV image and LANDSAT imagery".INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2021).