Spatial and temporal analysis of the LST-NDVI relationship for the study of land cover changes and their contribution to urban planning in Monte Hermoso, Argentina

Ferrelli, Federico; Cisneros, María Andrea Huamantinco; Delgado, Ana Laura

doi:10.5565/rev/dag.355

Cited by 21 publications

(22 citation statements)

References 26 publications

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“…Also, LST is influenced by land cover change and this is due to its role in the exchange of energy on the earth's surface, surface matter exchange and atmospheric processes (both physical and chemical) (Xiao et al 2007, Butuc, Moldovean 2011, Deng et al 2018. In a recent study, Ferrelli et al (2018) observed LST variation within diverse land covers in Monte Hermoso City, Argentina, as a consequence of urban growth and changes in vegetation cover. They thereafter concluded that the Spatiotemporal variation of LST values may indicate modifications in urban land cover.…”

Section: Introductionmentioning

confidence: 99%

“…They thereafter concluded that the Spatiotemporal variation of LST values may indicate modifications in urban land cover. The effect of population growth and the pressure or degradation it exerts on the environment are also other motivations to explore the relationship between land cover change and LST variations (Kaufmann et al 2007, Ferrelli et al 2018.…”

Section: Introductionmentioning

confidence: 99%

“…Remote sensing techniques permit the development of high resolution temporal and spatial results (Ferrelli et al 2018). In recent times, researchers have studied and documented the changes in the coastal environments of Nigeria with remote sensing methods.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the Relationship of LST, NDVI and EVI with Land Cover Changes in the Lagos Lagoon Environment

Alademomi

Okolie

Daramola

et al. 2020

Quaestiones Geographicae

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The Lagos Lagoon is under increased pressure from growth in human population, growing demands for natural resources, human activities, and socioeconomic factors. The degree of these activities and the impacts are directly proportional to urban expansion and growth. In the light of this situation, the objectives of this study were: (i) to estimate through satellite imagery analysis the extent of changes in the Lagos Lagoon environment for the periods 1984, 2002, 2013 and 2019 using Landsat-derived data on land cover, Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI); and (ii) to evaluate the relationship between the derived data and determine their relative influence on the lagoon environment. The derived data were subjected to descriptive statistics, and relationships were explored using Pearson's correlation and regression analysis. The effect of land cover on LST was measured using the Contribution Index and a trend analysis was carried out. From the results, the mean LSTs for the four years were 22.68°C (1984), 24.34°C (2002), 26.46°C (2013) and 28.40°C (2019). Generally, the mean LSTs is in opposite trend with the mean NDVIs and EVIs as associated with their dominant land cover type. The strongest positive correlations were observed between NDVI and EVI while NDVI had the closest fit with LST in the regression. Built-up areas have the highest contributions to LST while vegetation had a cooling influence. The depletion in vegetative cover has compromised the biodiversity of this environment and efforts are required to reverse this trend.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessing the Relationship of LST, NDVI and EVI with Land Cover Changes in the Lagos Lagoon Environment

Alademomi

Okolie

Daramola

et al. 2020

Quaestiones Geographicae

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“…LST and NDVI data derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) for May 2001 over the Great Plains, USA, revealed negative correlations [14,15]. Correlations calculated from Landsat for individual days were found to be negative in many small study sites worldwide [16][17][18][19]. It was further shown that such relationships can be confined within a triangle or trapezoid space and related to land-cover classification and change detection [20], evapotranspiration and stomatal resistance [21], air temperature [22], leaf area index [23], phenology [24], crop yield [25], and evapotranspiration and soil moisture status [26].…”

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confidence: 99%

Spatial and Seasonal Patterns in Vegetation Growth-Limiting Factors over Europe

et al. 2019

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Water and energy are recognized as the most influential climatic vegetation growth-limiting factors. These factors are usually measured from ground meteorological stations. However, since both vary in space, time, and scale, they can be assessed by satellite-derived biophysical indicators. Energy, represented by land surface temperature (LST), is assumed to resemble air temperature; and water availability, related to precipitation, is represented by the normalized difference vegetation index (NDVI). It is hypothesized that positive correlations between LST and NDVI indicate energy-limited conditions, while negative correlations indicate water-limited conditions. The current project aimed to quantify the spatial and seasonal (spring and summer) distributions of LST-NDVI relations over Europe, using long-term (2000Europe, using long-term ( -2017 MODIS images. Overlaying the LST-NDVI relations on the European biome map revealed that relations between LST and NDVI were highly diverse among the various biomes and throughout the entire study period (March-August). During the spring season (March-May), 80% of the European domain, across all biomes, showed the dominance of significant positive relations. However, during the summer season (June-August), most of the biomes-except the northern ones-turned to negative correlation. This study demonstrates that the drought/vegetation/stress spectral indices, based on the prevalent hypothesis of an inverse LST-NDVI correlation, are spatially and temporally dependent. These negative correlations are not valid in regions where energy is the limiting factor (e.g., in the drier regions in the southern and eastern extents of the domain) or during specific periods of the year (e.g., the spring season). Consequently, it is essential to re-examine this assumption and restrict applications of such an approach only to areas and periods in which negative correlations are observed. Predicted climate change will lead to an increase in temperature in the coming decades (i.e., increased LST), as well as a complex pattern of precipitation changes (i.e., changes of NDVI). Thus shifts in plant species locations are expected to cause a redistribution of biomes. IntroductionIn terrestrial ecosystems, vegetation growth-limiting factors (VGLFs) are species-specific values attributed to a cause that constrains the biological response to appropriate environmental conditions [1]. The primary VGLFs are either climatic or terrestrial. The climatic constraints include water, energy, light, relative humidity, wind, and atmospheric elements (e.g., gases). Climatic variables directly and indirectly affect all levels of biodiversity, from the individual species through to population, community, ecosystem, and up to biome scales [2]. Terrestrial VGLFs include soil characteristics (e.g., texture, depth, and nutrients) and terrain properties (e.g., elevation, slope, and aspect). Different VGLFs should be in balance in order to allow optimal growth and development. When one or more of these factors exceed a low o...

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“…N. Moriasi et al, 2007;Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, 2013;Henseler et al, 2009). Nonetheless, in studies that examine the relationship between surface or near-surface air temperature and NDVI, local R 2 values higher than .50 are very common during the growing season (Colaninno and Morello, 2019;Ferrelli et al, 2018;Guha et al, 2018); this depends on the vegetation type, the month, and the spatial resolution of the data. Hence, corridors with local R 2 values lower than .50 may deem unsatisfactory for the purpose of this study and are excluded for the subsequent statistical analysis.…”

Section: Estimating the Relative Impact Of Ventilation Corridors On Mmentioning

confidence: 99%

Mapping Urban Ventilation Corridors and Assessing Their Impact Upon the Cooling Effect of Greening Solutions

Eldesoky

Colaninno

Morello

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Over the past decades, climate change has become among the top issues challenging cities worldwide, endangering the urban infrastructures and threatening the health of millions of people. Hence, climate action, both in terms of mitigation and adaptation to climate change, has become a priority for urban planning. This work introduces an example of the promising role that spatial analysis and statistical modelling, employing Geographical Information Systems (GIS) and freely available satellite and land-based data, can provide in supporting urban climate design and policymaking. In particular, this study puts special attention on the Urban Heat Island (UHI) phenomenon. Here, we first introduce a simple, but effective morphological-based approach for mapping potential ventilation corridors across cities of uniform built-up structure, as a common UHI mitigation measure. Then, we propose a methodology for assessing the relative role of these corridors in maximizing the impacts of green solutions upon lowering high temperature. Results show that even under very calm wind conditions, there is still an opportunity for maximizing the benefits of greening measures on the urban climate. Also, it has been demonstrated that green ventilation corridors are more effective during night-time when the UHI effect is peaked. The research findings are very promising, especially for cities where wind is a marginal potentiality.

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Spatial and temporal analysis of the LST-NDVI relationship for the study of land cover changes and their contribution to urban planning in Monte Hermoso, Argentina

Cited by 21 publications

References 26 publications

Assessing the Relationship of LST, NDVI and EVI with Land Cover Changes in the Lagos Lagoon Environment

Assessing the Relationship of LST, NDVI and EVI with Land Cover Changes in the Lagos Lagoon Environment

Spatial and Seasonal Patterns in Vegetation Growth-Limiting Factors over Europe

Mapping Urban Ventilation Corridors and Assessing Their Impact Upon the Cooling Effect of Greening Solutions

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