干旱区生态环境知识资源中心(Arid): A Forecast Model Applied to Monitor Crops Dynamics Using Vegetation Indices (NDVI)

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DOI	10.3390/app11041859
	A Forecast Model Applied to Monitor Crops Dynamics Using Vegetation Indices (NDVI)
	Carreno-Conde, Francisco; Elizabeth Sipols, Ana; Simon de Blas, Clara; Mostaza-Colado, David
通讯作者	Carreno-Conde, F (corresponding author), Rey Juan Carlos Univ, Dept Biol & Geol Phys & Inorgan Chem, Higher Sch Expt Sci & Technol, C Tulipan S-N, Mostoles 28933, Spain. ; Carreno-Conde, F (corresponding author), Univ Alcala De Henares, IMDEA Water Inst, Ave Punto Com 2,Parque Cient Tecnol, Alcala De Henares 28805, Spain.
来源期刊	APPLIED SCIENCES-BASEL
EISSN	2076-3417
出版年	2021
卷号	11 期号:4
英文摘要	Vegetation dynamics is very sensitive to environmental changes, particularly in arid zones where climate change is more prominent. Therefore, it is very important to investigate the response of this dynamics to those changes and understand its evolution according to different climatic factors. Remote sensing techniques provide an effective system to monitor vegetation dynamics on multiple scales using vegetation indices (VI), calculated from remote sensing reflectance measurements in the visible and infrared regions of the electromagnetic spectrum. In this study, we use the normalized difference vegetation index (NDVI), provided from the MOD13Q1 V006 at 250 m spatial resolution product derived from the MODIS sensor. NDVI is frequent in studies related to vegetation mapping, crop state indicator, biomass estimator, drought monitoring and evapotranspiration. In this paper, we use a combination of forecasts to perform time series models and predict NDVI time series derived from optical remote sensing data. The proposed ensemble is constructed using forecasting models based on time series analysis, such as Double Exponential Smoothing and autoregressive integrated moving average with explanatory variables for a better prediction performance. The method is validated using different maize plots and one olive plot. The results after combining different models show the positive influence of several weather measures, namely, temperature, precipitation, humidity and radiation.
英文关键词	forecast model NDVI crops remote sensing MODIS weather variables time series analysis ARIMAX
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:000632140900001
WOS类目	Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349499
作者单位	[Carreno-Conde, Francisco] Rey Juan Carlos Univ, Dept Biol & Geol Phys & Inorgan Chem, Higher Sch Expt Sci & Technol, C Tulipan S-N, Mostoles 28933, Spain; [Carreno-Conde, Francisco] Univ Alcala De Henares, IMDEA Water Inst, Ave Punto Com 2,Parque Cient Tecnol, Alcala De Henares 28805, Spain; [Elizabeth Sipols, Ana] Rey Juan Carlos Univ, Dept Comp Sci & Stat, Engn Comp Sci Sch, C Tulipan S-N, Mostoles 28933, Spain; [Simon de Blas, Clara] Rey Juan Carlos Univ, Higher Sch Expt Sci & Technol, Dept Appl Math Mat Sci & Engn & Elect Technol, C Tulipan S-N, Mostoles 28933, Spain; [Simon de Blas, Clara] UCM, Fac Med Pabellon, Inst Univ Evaluac Sanitaria, 4 Planta 1,Ciudad Univ, Madrid 28040, Spain; [Mostaza-Colado, David] Madrid Inst Rural Agr & Food Res & Dev IMIDRA, Agroenvironm Res Dept, Ctra A2,Km 38-200, Alcala De Henares 28805, Spain
推荐引用方式 GB/T 7714	Carreno-Conde, Francisco,Elizabeth Sipols, Ana,Simon de Blas, Clara,et al. A Forecast Model Applied to Monitor Crops Dynamics Using Vegetation Indices (NDVI)[J],2021,11(4).
APA	Carreno-Conde, Francisco,Elizabeth Sipols, Ana,Simon de Blas, Clara,&Mostaza-Colado, David.(2021).A Forecast Model Applied to Monitor Crops Dynamics Using Vegetation Indices (NDVI).APPLIED SCIENCES-BASEL,11(4).
MLA	Carreno-Conde, Francisco,et al."A Forecast Model Applied to Monitor Crops Dynamics Using Vegetation Indices (NDVI)".APPLIED SCIENCES-BASEL 11.4(2021).