干旱区生态环境知识资源中心(Arid): Evaluation of Vegetation Indices and Phenological Metrics Using Time-Series MODIS Data for Monitoring Vegetation Change in Punjab, Pakistan

Arid

DOI	10.3390/w13182550
	Evaluation of Vegetation Indices and Phenological Metrics Using Time-Series MODIS Data for Monitoring Vegetation Change in Punjab, Pakistan
	Hu, Pingbo; Sharifi, Alireza; Tahir, Muhammad Naveed; Tariq, Aqil; Zhang, Lili; Mumtaz, Faisal; Shah, Syed Hassan Iqbal Ahmad
通讯作者	Tariq, A (corresponding author), Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China. ; Zhang, LL (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China. ; Zhang, LL (corresponding author), Zhongke Langfang Inst Spatial Informat Applicat, Langfang 065001, Peoples R China.
来源期刊	WATER
EISSN	2073-4441
出版年	2021
卷号	13 期号:18
英文摘要	In arid and semi-arid regions, it is essential to monitor the spatiotemporal variability and dynamics of vegetation. Among other provinces of Pakistan, Punjab has produced a significant number of crops. Recently, Punjab, Pakistan, has been described as a global hotspot for extremes of climate change. In this study, the soil adjusted vegetation index (SAVI), normalized vegetation difference index (NDVI), and enhanced vegetation index (EVI) were comprehensively evaluated to monitor vegetation change in Punjab, Pakistan. The time-series MODIS (Moderate Resolution Imaging Spectroradiometer) data of different periods were used. The mean annual variability of the above vegetation indices (VIs) from 2000 to 2019 was evaluated and analyzed. For each type of vegetation, two phenological metrics (i.e., for the start of the season and end of the season) were calculated and compared. The spatio-temporal image analysis of the mean annual vegetation indices revealed similar patterns and varying vegetation conditions. In the forests and vegetation areas with sparse vegetation, the EVI showed high uncertainty. The phenological metrics of all vegetation indices were consistent for most types of vegetation. However, the NDVI result had the greatest variance between the start and end of season. The lowest annual VI variability was mainly observed in the southern part of the study area (less than 10% of the study area) based on the statistical analysis of spatial variability. The mean annual spatial variability of NDVI was <20%, SAVI was 30%, and EVI ranged between 10-20%. More than 40% of the variability was observed in the NDVI and SAVI vegetation indices.
英文关键词	vegetation dynamics vegetation indices arid and semi-arid time-series crop phenology
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000701525400001
WOS关键词	SATELLITE DATA ; NDVI ; SOIL ; CLASSIFICATION ; VARIABILITY ; FOREST ; COVER ; SAVANNA ; CANOPY ; CHINA
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364841
作者单位	[Hu, Pingbo] Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, Beijing 100044, Peoples R China; [Sharifi, Alireza] Shahid Rajaee Teacher Training Univ, Dept Surveying Engn, Fac Civil Engn, Tehran 1678815811, Iran; [Tahir, Muhammad Naveed] PMAS Arid Agr Univ, Dept Agron, Rawalpindi 46300, Pakistan; [Tariq, Aqil; Shah, Syed Hassan Iqbal Ahmad] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China; [Zhang, Lili] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China; [Zhang, Lili] Zhongke Langfang Inst Spatial Informat Applicat, Langfang 065001, Peoples R China; [Mumtaz, Faisal] Univ Chinese Acad Sci UCAS, Beijing 101408, Peoples R China; [Mumtaz, Faisal] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Hu, Pingbo,Sharifi, Alireza,Tahir, Muhammad Naveed,et al. Evaluation of Vegetation Indices and Phenological Metrics Using Time-Series MODIS Data for Monitoring Vegetation Change in Punjab, Pakistan[J],2021,13(18).
APA	Hu, Pingbo.,Sharifi, Alireza.,Tahir, Muhammad Naveed.,Tariq, Aqil.,Zhang, Lili.,...&Shah, Syed Hassan Iqbal Ahmad.(2021).Evaluation of Vegetation Indices and Phenological Metrics Using Time-Series MODIS Data for Monitoring Vegetation Change in Punjab, Pakistan.WATER,13(18).
MLA	Hu, Pingbo,et al."Evaluation of Vegetation Indices and Phenological Metrics Using Time-Series MODIS Data for Monitoring Vegetation Change in Punjab, Pakistan".WATER 13.18(2021).