Effects of Urbanization on Vegetation Degradation in the Yangtze River Delta of China: Assessment Based on SPOT-VGT NDVI

Li, Guang Yu; Chen, Shuang S.; Yue, Yan; Cai, Yu

doi:10.1061/(asce)up.1943-5444.0000249

Cited by 32 publications

(17 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A huge collection of VI datasets has been processed and archived for studying vegetation dynamics in different regions of the world. Some VI products have global coverage, e.g., AVHRR (Advanced Very-High Resolution Radiometer), MODIS (Moderate-resolution Imaging Spectroradiometer), and Systeme Probatoire d'Observation de la Terre Vegetation (SPOT-VGT) product [21,29], which greatly facilitate mapping the spatiotemporal dynamics of vegetation greenness due to their wide spatial coverage, high temporal-resolution, and long-term historical data archives [30,31]. To quantify the change of vegetation cover in the spatial extent, land cover conversion matrix (LCCM) analysis is often adopted [32].…”

Section: Introductionmentioning

confidence: 99%

Mapping the Changes in Urban Greenness Based on Localized Spatial Association Analysis under Temporal Context Using MODIS Data

Sha

Ali

Wang

et al. 2018

IJGI

View full text Add to dashboard Cite

Vegetation plays an irreplaceable role for urban ecosystem services. Urban greenness represents all vegetation cover in and around cities. Understanding spatiotemporal patterns of the changes in urban greenness (CUG) provides fundamental clues for urban planning. The impact on CUG can be roughly categorized as being climate-induced and human-induced. Methods for mapping human-induced CUG (H-CUG) are rare. In this paper, a new framework, known as Localized Spatial Association Analysis under Temporal Context (LSAA-TC), was proposed to explore H-CUG. Localized spatial association analysis (LSAA) was performed first to extract local spatial outliers (LSOs), or locations that differ significantly in urban greenness from those located in the neighborhood. LSOs were then analyzed under the temporal context to map their intertemporal variations known as spatiotemporal outliers. We applied LSAA-TC to mapping H-CUG in the Wuhan Metropolitan Area, China during 2000–2015 using the vegetation index from Moderate-resolution Imaging Spectroradiometer (MODIS) 13Q1 as the proxy for urban greenness. The computed H-CUG demonstrated apparent spatiotemporal patterns. The result is consistent with the fact that the traditional downtown area presents the lowest H-CUG, while it is found that the peripheral area in the circular belt within 14–20 km from the urban center demonstrates the most significant H-CUG. We conclude that LSAA-TC can be a widely applicable framework to understand H-CUG patterns and is a promising tool for informative urban planning.

show abstract

Section: Introductionmentioning

confidence: 99%

Mapping the Changes in Urban Greenness Based on Localized Spatial Association Analysis under Temporal Context Using MODIS Data

Sha

Ali

Wang

et al. 2018

IJGI

View full text Add to dashboard Cite

show abstract

“…Las correlaciones estimadas son válidas en los análisis espaciales como los aplicados en el presente estudio, ejemplo de ello son los trabajos que citan correlaciones entre variables relacionadas a la urbanización (densidad de población, distancia a infraestructura urbana, ingreso promedio) y DNDVI con valores de R entre 0.225 y 0.381 (Li et al, 2014). También se obtuvo un valor de R = 0.6 para la correlación entre la densidad de población urbana y DNDVI (Morawitz et al, 2006), o entre aspectos socioeconómicos y DIV con valores de R de 0.…”

Section: Discussionunclassified

“…Los otros IV también responden al cambio y pueden describirlo, pero no son tan sensibles como NDVI en las áreas estudiadas. between 0.225 and 0.381 (Li et al, 2014). An R-value of 0.6 was also obtained for the correlation between the urban population density and DNDVI (Morawitz et al, 2006), or between socioeconomic aspects and DVI with R-values of 0.14 to 0.32 (Mennis, 2006).…”

Section: Discussionunclassified

“…An innovative aspect has been the evaluation of the effect of urbanization on the vegetation based on the change in the vegetation indices and their correlation to the population density (Jenerette, 2007;Li et al , 2014;Levin, 2015), the income of the population (Martin et al , 2004), the distance to the routes of communication (Li et al, 2014), and the urbanized area (Sun et al, 2011). This strategy is based on the systematic measurement of the VIs in order to monitor the dynamics of the vegetation as a result of the transition between different uses of the soil, specifically urbanization.…”

Section: Materiales Y Métodos A) Localización Y Carsacterísticas Físimentioning

confidence: 99%

“…Un aspecto innovador ha sido evaluar el efecto de la urbanización en la vegetación a partir del cambio en los índices de vegetación y su correlación con la densidad de la población (Jenerette, 2007;Li et al, 2014;Levin, 2015), el ingreso de la población (Martin et al , 2004), la distancia a las vías de comunicación (Li et al, 2014); y el área urbanizada (Sun et al, 2011). Dicha estrategia se basa en la medición sistemática de los IV para monitorear la dinámica de la vegetación, como resultado de la transición de distintos usos del suelo, específicamente, la urbanización.…”

Section: Introductionunclassified

See 2 more Smart Citations

Influencia de la urbanización en el cambio de la vegetación colindante del corredor Pachuca-Tizayuca (2000-2014)

Flores

Palacios-Romero

Otazo-Sánchez

et al. 2017

RMCF

View full text Add to dashboard Cite

Las áreas urbanas ejercen presión sobre la vegetación colindante a estas. Se ha demostrado que la diferencia en los índices de vegetación (DIV) es un buen indicador de su deterioro; aunque se relaciona con la presión urbana, no se ha establecido una metodología que cuantifique su impacto. Esta estrategia se aplicó en los principales municipios del Valle de Pachuca-Tizayuca, en donde la urbanización registra mayores crecimientos. Se obtuvo la clasificación supervisada en los años 2000 y 2014, mediante sistemas de información geográfica e imágenes Landsat (confiabilidad > 80 %). Se determinó el cambio de uso de suelo (NU) a urbano (U) con los cocientes U/NU y se compararon con DIV entre ambos años; se usaron los índices NDVI, MSAVI, SAVI y TSAVI; además de los AGEB rurales, como unidades geográficas de análisis. Posteriormente, se generó un archivo raster de distancias de cada pixel al borde de las zonas urbanas más cercanas (DU). La correlación lineal de DU se determina con el DIV a partir de la regresión espacial bivariada en IDRISI-Taiga. Las AGEB con creciente urbanización se identifican por los valores mayores del cociente U/NU y se observa que los DIV presentan mayores valores. Se demuestra que DU tiene más correlación con DIV en las AGEB con asentamientos humanos intermedios en expansión (R2 de 0.1 a 0.33). Se demuestra que la correlación espacial DIV vs. DU es una buena estrategia metodológica para estimar el impacto de presión urbana sobre la vegetación colindante a los asentamientos humanos.

show abstract

Vegetation dynamics in African drylands: an assessment based on the Vegetation Degradation Index in an agro-pastoral region of Botswana

Akinyemi

Kgomo²

2019

Reg Environ Change

View full text Add to dashboard Cite

Effects of Urbanization on Vegetation Degradation in the Yangtze River Delta of China: Assessment Based on SPOT-VGT NDVI

Cited by 32 publications

References 48 publications

Mapping the Changes in Urban Greenness Based on Localized Spatial Association Analysis under Temporal Context Using MODIS Data

Mapping the Changes in Urban Greenness Based on Localized Spatial Association Analysis under Temporal Context Using MODIS Data

Influencia de la urbanización en el cambio de la vegetación colindante del corredor Pachuca-Tizayuca (2000-2014)

Vegetation dynamics in African drylands: an assessment based on the Vegetation Degradation Index in an agro-pastoral region of Botswana

Contact Info

Product

Resources

About