DOI: 10.1002/2015GL063991
论文题名: Prediction of vegetation anomalies to improve food security and water management in India
作者: Asoka A. ; Mishra V.
刊名: Geophysical Research Letters
ISSN: 0094-9197
EISSN: 1944-8928
出版年: 2015
卷: 42, 期: 13 起始页码: 5290
结束页码: 5298
语种: 英语
英文关键词: ENSO
; food security
; forecast
; NDVI
; vegetation dynamics
; water management
Scopus关键词: Atmospheric pressure
; Atmospheric temperature
; Climatology
; Decision making
; Food supply
; Forecasting
; Mobile security
; Moisture
; Oceanography
; Soil moisture
; Surface waters
; Vegetation
; Water management
; ENSO
; Food security
; NDVI
; Normalized difference vegetation index
; Root zone soil moistures
; Sea surface temperature (SST)
; Southern oscillation index
; Vegetation dynamics
; Water resources
; decision making
; early warning system
; El Nino-Southern Oscillation
; food security
; NDVI
; prediction
; rhizosphere
; sea surface temperature
; soil moisture
; vegetation dynamics
; water management
; water planning
; water resource
; India
英文摘要: Prediction of vegetation anomalies at regional scales is essential for management of food and water resources. Forecast of vegetation anomalies at 1-3months lead time can help in decision making. Here we show that normalized difference vegetation index (NDVI) along with other hydroclimatic variables (soil moisture and sea surface temperature) can be effectively used to predict vegetation anomalies in India. The spatiotemporal analysis of NDVI showed significant greening over the region during the period of 1982-2013. The root-zone soil moisture showed a positive correlation with NDVI, whereas the El Niño-Southern Oscillation index (Nino 3.4) is negatively correlated in most of the regions. We extended this relationship to develop a model to predict NDVI in 1 to 3months lead time. The predicted vegetation anomalies compare well with observations, which can be effectively utilized in early warning and better planning in water resources and agricultural sectors in India. Key Points Development of model to predict NDVI in India The model can be used to predict vegetation dynamics at 1-3months lead time The model can be used for decision making in agriculture and water sectors. © 2015. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938206340&doi=10.1002%2f2015GL063991&partnerID=40&md5=78768797730e76d2fc45522dd0a826ad
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8813
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Indian Institute of Technology Gandhinagar, Ahmedabad, India
Recommended Citation:
Asoka A.,Mishra V.. Prediction of vegetation anomalies to improve food security and water management in India[J]. Geophysical Research Letters,2015-01-01,42(13).