Dynamics of Land Surface Temperature in Response to Land-Use/Cover Change

Zhou, Xiaolu; Wang, Yi-Chen

doi:10.1111/j.1745-5871.2010.00686.x

Cited by 144 publications

(70 citation statements)

References 31 publications

(50 reference statements)

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“…It can be noted that in the hot urbanized spots, the amount of mean LST is higher. Reference Zhou & Wang in 2011, (Zhou & Wang, 2011) argued that "apart from land-use change, urbanization with increased human population also contributes to the urban thermal environment change with the rising anthropogenic heat discharge." …”

Section: Resultsmentioning

confidence: 99%

The Effect of Land Use Change on Land Surface Temperature in the Netherlands

Youneszadeh

Amiri

Pilesjö

2015

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

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Commission VI, WG VI/4KEY WORDS: GIS, remote sensing, MODIS, land surface temperature, LST ABSTRACT:The Netherlands is a small country with a relatively large population which experienced a rapid rate of land use changes from 2000 to 2008 years due to the industrialization and population increase. Land use change is especially related to the urban expansion and open agriculture reduction due to the enhanced economic growth. This research reports an investigation into the application of remote sensing and geographical information system (GIS) in combination with statistical methods to provide a quantitative information on the effect of land use change on the land surface temperature. In this study, remote sensing techniques were used to retrieve the land surface temperature (LST) by using the MODIS Terra (MOD11A2) Satellite imagery product. As land use change alters the thermal environment, the land surface temperature (LST) could be a proper change indicator to show the thermal changes in relation with land use changes. The Geographical information system was further applied to extract the mean yearly land surface temperature (LST) for each land use type and each province in the 2003, 2006 and 2008 years, by using the zonal statistic techniques. The results show that, the inland water and offshore area has the highest night land surface temperature (LST). Furthermore, the Zued (South)-Holland province has the highest night LST value in the

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Section: Resultsmentioning

confidence: 99%

The Effect of Land Use Change on Land Surface Temperature in the Netherlands

Youneszadeh

Amiri

Pilesjö

2015

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

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“…For example, Zhou and Wang [36] employed this model to investigate the local relationship between LST and land cover/use (LUC) patterns. The GWR model has also been employed to investigate non-stationary relationships between climatic factors and vegetation health [37].…”

Section: The Application Of Gwr To Model the Uhi Effectmentioning

confidence: 99%

Correlation or Causality between Land Cover Patterns and the Urban Heat Island Effect? Evidence from Brisbane, Australia

2016

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Numerous studies have identified associations between the surface urban heat island (SUHI) effect (i.e., SUHI, hereinafter is referred to as UHI) and urban growth, particularly changes in land cover patterns. This research questions their causal links to answer a key policy question: If cities restrict urban expansion and encourage people to live within existing urban areas, will that help in controlling UHI? The question has been answered by estimating four models using data from Brisbane, Australia: Model 1-cross-sectional ordinary least square (OLS) regression-to examine the association between the UHI effect and land cover patterns in 2013; Model 2-cross-sectional geographically weighted regression (GWR)-to examine whether the outputs generated from Model 1 possess significant spatial variations; Model 3-longitudinal OLS-to examine whether changes in land cover patterns led to changes in UHI effects between 2004 and 2013; and Model 4-longitudinal GWR-to examine whether the outputs generated from Model 3 vary significantly over space. All estimations were controlled for potential confounding effects (e.g., population, employment and dwelling densities). Results from the cross-sectional OLS and GWR models were consistent with previous findings and showed that porosity is negatively associated with the UHI effect in 2013. In contrast, population density has a positive association. Results from the longitudinal OLS and GWR models confirm their causal linkages and showed that an increase in porosity level reduced the UHI effect, whereas an increase in population density increased the UHI effect. The findings suggest that even a containment of population growth within existing urban areas will lead to the UHI effect. However, this can be significantly minimized through proper land use planning, by creating a balance between urban and non-urban uses of existing urban areas.

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“…Several studies showed an LST increase after forest conversion to built-up areas, agricultural land (Zhou and Wang, 2011), crop land and pasture lands (Peng et al, 2014) in China. Similar observations were reported for South American ecosystems: low vegetation such as grasslands in Argentina were warmer than tall tree vegetation (Nosetto et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Surface roughness affects the transferred sensible and latent heat by regulating vertical mixing of air in the surface layer (van Leeuwen et al, 2011), thereby regulating land surface temperature (LST). Through its association with microclimate, net radiation and energy exchange (Coll et al, 2009;Sobrino et al, 2006;Voogt and Oke, 1998;Weng, 2009;Zhou and Wang, 2011), LST is a major land surface parameter, and as a climatic factor it is regarded to be a main driver of diversity gradients related to the positive relationships between temperature and species richness (Wang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Expansion of oil palm and other cash crops causes an increase of the land surface temperature in the Jambi province in Indonesia

et al. 2017

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Abstract. Indonesia is currently one of the regions with the highest transformation rate of land surface worldwide related to the expansion of oil palm plantations and other cash crops replacing forests on large scales. Land cover changes, which modify land surface properties, have a direct effect on the land surface temperature (LST), a key driver for many ecological functions. Despite the large historic land transformation in Indonesia toward oil palm and other cash crops and governmental plans for future expansion, this is the first study so far to quantify the impacts of land transformation on the LST in Indonesia. We analyze LST from the thermal band of a Landsat image and produce a highresolution surface temperature map (30 m) for the lowlands of the Jambi province in Sumatra (Indonesia), a region which suffered large land transformation towards oil palm and other cash crops over the past decades. The comparison of LST, albedo, normalized differenced vegetation index (NDVI) and evapotranspiration (ET) between seven different land cover types (forest, urban areas, clear-cut land, young and mature oil palm plantations, acacia and rubber plantations) shows that forests have lower surface temperatures than the other land cover types, indicating a local warming effect after forest conversion. LST differences were up to 10.1 ± 2.6 • C (mean ± SD) between forest and clear-cut land. The differences in surface temperatures are explained by an evaporative cooling effect, which offsets the albedo warming effect.Our analysis of the LST trend of the past 16 years based on MODIS data shows that the average daytime surface temperature in the Jambi province increased by 1.05 • C, which followed the trend of observed land cover changes and exceeded the effects of climate warming. This study provides evidence that the expansion of oil palm plantations and other cash crops leads to changes in biophysical variables, warming the land surface and thus enhancing the increase of the air temperature because of climate change.

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Dynamics of Land Surface Temperature in Response to Land-Use/Cover Change

Cited by 144 publications

References 31 publications

The Effect of Land Use Change on Land Surface Temperature in the Netherlands

The Effect of Land Use Change on Land Surface Temperature in the Netherlands

Correlation or Causality between Land Cover Patterns and the Urban Heat Island Effect? Evidence from Brisbane, Australia

Expansion of oil palm and other cash crops causes an increase of the land surface temperature in the Jambi province in Indonesia

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