Spatial and Temporal Relationships among NDVI, Climate Factors, and Land Cover Changes in Northeast Asia from 1982 to 2009

Liu, Yang; Wang, Xiufeng; Guo, Meng; Tani, Hiroshi; Matsuoka, Norimasa; Matsumura, Shinji

doi:10.2747/1548-1603.48.3.371

Cited by 39 publications

(20 citation statements)

References 27 publications

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“…Normalized difference vegetation index (NDVI) is the most widely used vegetation index and has contributed to global climate, ecosystem, and agricultural studies [13,14]. For instance, Liu et al [15] constructed NDVI time series ) from the spectrum of three kinds of satellites, and to study the relationship among NDVI, climate factors and land cover changes. As a result, NDVI is mentioned in much of the remote sensing analysis between vegetation information and land surface temperature [16,17].…”

Section: Introductionmentioning

confidence: 99%

Spatial Modeling of Urban Vegetation and Land Surface Temperature: A Case Study of Beijing

Huang

2015

Sustainability

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Abstract:The coupling relationship between urban vegetation and land surface temperature (LST) has been heatedly debated in a variety of environmental studies. This paper studies the urban vegetation information and LST by utilizing a series of remote sensing imagery covering the period from 1990 to 2007. Their coupling relationship is analyzed, in order to provide the basis for ecological planning and environment protection. The results show that the normalized difference vegetation index (NDVI), urban vegetation abundance (UVA) and urban forest abundance (UFA) are negatively correlated with LST, which means that both urban vegetation and urban forest are capable in decreasing LST. The apparent influence of urban vegetation and urban forest on LST varies with the spatial resolution of the imagery, and peaks at the resolutions ranging from 90 m to 120 m.

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Section: Introductionmentioning

confidence: 99%

Spatial Modeling of Urban Vegetation and Land Surface Temperature: A Case Study of Beijing

Huang

2015

Sustainability

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“…The negative effect of precipitation can provide increased cloud cover, which reduces crucial factors for forest growth, such as solar radiation and air temperature [53]. Liu et al [54] also confirmed that in (sub) humid climate zones, vegetation shows a strong relationship with temperature and a negative correlation with precipitation. However, this is in contrast to the findings of Thavorntam and Tantemsapya [5], who showed that the negative effects of temperature in the forest types of Northeastern Thailand might be attributed to stress and different limiting factors for plants, which vary in space and climate zones.…”

Section: Climate Driving Factors Of Vegetation Dynamicsmentioning

confidence: 50%

Assessing the Climatic Effects on Vegetation Dynamics in the Mekong River Basin

Na-u-dom

García

2017

Environments

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Understanding long-term vegetation dynamics, their responses to climate, and other driving factors is crucial for integrated basin management in the Mekong River Basin (MRB) in a context of global change. In this study, Normalized Difference Vegetation Index (NDVI) and climate data from 1982 to 2013 were collected from Global Inventory Modeling and Mapping Studies (GIMMS) and Climate Research Unit Time Series Version 3.23 (CRU-TS 3.23). The long-term monthly average, Mann-Kendall trend (M-K) test, Sen's slope, the coefficient of variation, correlation analysis, and the Partial Least Square Regression (PLSR) model with the Variable Importance in Projection (VIP) were applied in this study. The results showed an increasing temporal trend in NDVI and climate variables, especially temperature, in all vegetation types. There is a significantly increasing NDVI trend with relatively stable NDVI fluctuation across the majority of the MRB except in part of the Tibetan plateau in China. There is a positive spatial correlation between NDVI and air temperature, precipitation and PET (potential evapotranspiration) in the upper part of the basin. Air temperature is an important explanatory factor for all vegetation types, especially in forest ecosystems and croplands, while the role of precipitation and PET vary depending on vegetation type. In addition to physical aspects of the MRB, such as runoff, we conclude that the vegetation dynamics related to climate variables in the MRB should be considered in policies as the framework for ecological and environmental management plans of the MRB.

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“…(2016) [1][2][3][4][5][6][7][8][9][10][11][12] www.deswater.com doi: 10.1080/19443994.2016.1188734 detection [6][7][8][9][10]. Among many vegetation indices normalized difference vegetation index (NDVI) has been most regularly used for vegetation monitoring in various studies [11][12][13][14][15][16][17][18].…”

Section: Desalination and Water Treatmentmentioning

confidence: 98%

Landuse and NDVI change analysis of Sperchios river basin (Greece) with different spatial resolution sensor data by Landsat/MSS/TM and OLI

Markogianni

Dimitriou

2016

Desalination and Water Treatment

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A B S T R A C TThe assessment of land use-land cover (LULC) and normalized difference vegetation index (NDVI) changes on hydrology is essential for the development of sustainable water resource strategies. This study focuses on Sperchios river catchment, a complex and very heterogeneous area made up of numerous land covers that are difficult to map due to spectral similarities. Difficulties such as multi-seasonal spectral variables corresponding to different stages of land cover phenological development were addressed by choosing an unsupervised classification algorithm called k-means in combination with the Corine land cover database and past scientific studies. Available remote sensing data included three Landsat images (MSS, TM, OLI) all of which were resampled to a common 30-m resolution. Final LULC classifications in the period 1972-2013 separated forest, agricultural land and heath land and detected unified bare with urban land and pastures with areas of low vegetation. The recorded results include a significant reduction (-80%) of vegetation (NDVI values), 28 and 26% reduction rates in forests and pastures-low vegetation, respectively, a strong increase (114%) in heath land and an 47% increase, as concerns the agricultural land. Using of random points estimated the classification accuracy to be 75.4 and 85.2% for LULC of 1972-2013, respectively. This particular study constitutes a preliminary stage of an attempted integrated basin management of Sperchios river intending to contribute to overall ecological quality assessment of Sperchios river.

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Spatial and Temporal Relationships among NDVI, Climate Factors, and Land Cover Changes in Northeast Asia from 1982 to 2009

Cited by 39 publications

References 27 publications

Spatial Modeling of Urban Vegetation and Land Surface Temperature: A Case Study of Beijing

Spatial Modeling of Urban Vegetation and Land Surface Temperature: A Case Study of Beijing

Assessing the Climatic Effects on Vegetation Dynamics in the Mekong River Basin

Landuse and NDVI change analysis of Sperchios river basin (Greece) with different spatial resolution sensor data by Landsat/MSS/TM and OLI

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