An approach to examining performances of cool/hot sources in mitigating/enhancing land surface temperature under different temperature backgrounds based on landsat 8 image

He, Bao‐Jie; Zhao, Zhijun; Shen, Lidu; Wang, Hongbo; Li, Liguang

doi:10.1016/j.scs.2018.10.049

Cited by 190 publications

(82 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The thermal environments of urban near surface spaces have remarkable effects on human outdoor activities and are affected by complex and diverse factors, including motor vehicles, air conditioner external units, reflex of glass curtain walls, thermal radiation of the hard ground and outer walls of buildings, and building shadows. In traditional studies on thermal environments based on actual satellite remote sensing imaging, the thermal environment of the urban canopy layer has actually been studied [25][26][27][28][29], and it has not been possible to determine the thermal environments in the near surface space accurately. However, actual measurement of near surface thermal environments is a very complex problem, in which the selections of the locations and heights of the measurement points are the main issues.…”

Section: Measurement Of Thermal Environmentsmentioning

confidence: 99%

“…However, the most existing studies on thermal environments (reflecting the characteristics of urban canopy layer), are based on air temperature data acquired via fixed-point meteorological observations and satellite remote sensing imaging by automatic meteorological stations in the professional observational networks operated by weather bureaus [25][26][27][28][29]. Such average temperature data can only reflect the conditions in the urban canopy layer and differ significantly from the urban near surface air temperature perceived by humans (as shown in Figure 1).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of Urban Form on Thermal Environment Near the Surface Region at Pedestrian Height: A Case Study Based on High-Density Built-Up Areas of Nanjing City in China

et al. 2020

View full text Add to dashboard Cite

The continuous worsening of urban thermal environments poses a severe threat to human health and is among the main problems associated with urban climate change and sustainable development. This issue is particularly severe in high-density built-up areas. Existing studies on the thermal environments (temperature data extracted from satellite remote sensing images) are mainly focused on urban canopy areas (airspace below the average height of trees or buildings) rather than the near surface region (at pedestrian height). However, the main outdoor activity space of urban residents is the area near surface region. Hence, this study aims to investigate the influence of urban form (i.e., building density, height, and openness) on thermal environment near the surface region. The high-density built-up areas of a typical megacity (i.e., Nanjing) in China were selected, and the thermal environments of 26 typical blocks were simulated using ENVI-met software. Temperature field measurements were carried out for simulation validation. On this basis, a classified and comparative study was conducted by selecting the key spatial form elements that affect thermal environments. The results showed that in actual high-density built-up areas, single urban form parameter does not determine the thermal environments near the urban surface but mainly affected by the use (function) of space. For this study, the overall thermal environment of a street block is optimal when the building density is between 40% and 50% and the average building height is between 8 and 17 stories. Nonetheless, the urban form can be improved to optimize the overall effects on building functions and thermal environments. Furthermore, function-specific urban form optimization strategies were proposed to optimize thermal environments according to specific functional needs.

show abstract

Section: Measurement Of Thermal Environmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impacts of Urban Form on Thermal Environment Near the Surface Region at Pedestrian Height: A Case Study Based on High-Density Built-Up Areas of Nanjing City in China

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Figure 2 illustrates how to determine land cover classifications and how to detect land cover changes based on Landsat images. The Landsat remote sensing data with spatial resolution of 30 m were collated and analyzed, and the raster data were spliced and clipped to obtain the complete image data of the whole study area [36,37]. The data was radiometrically scaled based on ENVI software, after which the atmospheric calibration was performed on the data after radiometric calibration.…”

Section: Datamentioning

confidence: 99%

Analysis of Forest Deforestation and its Driving Factors in Myanmar from 1988 to 2017

et al. 2019

View full text Add to dashboard Cite

Myanmar, abundant in natural resources, is one of the countries with high forest cover in Southeast Asia. Along with its rapid socio-economic development, however, the construction of large-scale infrastructure, expansion of agricultural land, and an increasing demand for timber products have posed serious threats to the forests and significantly affected regional sustainable development. However, the geographical environment in Myanmar is complex, resulting in the lack of long-term sequence of land cover data products. Based on 30 years’ Landsat satellite remote sensing imagery data and the land cover data extracted by a mixed classification method, this paper examined the spatial and temporal evolution characteristics of forest cover in Myanmar and investigated driving factors of the spatio-temporal evolution. Results show that the forest cover has decreased by 110,621 km2 in the past 30 years with the annual deforestation rate of 0.87%. Cropland expansion is the main reason for the deforestation throughout the study period. The study can provide basic information of the forest cover data to the Myanmar government for ecological environment protection. At the same time, it can provide important support to the “Belt and Road” initiative to invest in the region’s economy.

show abstract

“…Therefore, the LST is a key parameter for the physical description of the surface energy and water balance processes at the local to global scale [1,2]. The potential of this crucial parameter has been repeatedly demonstrated in various thermal infrared-based studies and applications, such as evapotranspiration [3,4], hydrological modelling [5], vegetation monitoring [6], 'urban heat island and urban development' [7][8][9], climate change and weather conditions [1,10], agriculture [3,11], and the monitoring of land use changes in wetlands [12]. In agricultural applications, precision farming has increasingly required thermal remote sensing techniques to detect water-stressed crops [3,13,14], plant diseases [13,15], and for irrigation management [13,14].…”

Section: Introductionmentioning

confidence: 99%

Land Surface Temperature Retrieval for Agricultural Areas Using a Novel UAV Platform Equipped with a Thermal Infrared and Multispectral Sensor

et al. 2020

View full text Add to dashboard Cite

Land surface temperature (LST) is a fundamental parameter within the system of the Earth’s surface and atmosphere, which can be used to describe the inherent physical processes of energy and water exchange. The need for LST has been increasingly recognised in agriculture, as it affects the growth phases of crops and crop yields. However, challenges in overcoming the large discrepancies between the retrieved LST and ground truth data still exist. Precise LST measurement depends mainly on accurately deriving the surface emissivity, which is very dynamic due to changing states of land cover and plant development. In this study, we present an LST retrieval algorithm for the combined use of multispectral optical and thermal UAV images, which has been optimised for operational applications in agriculture to map the heterogeneous and diverse agricultural crop systems of a research campus in Germany (April 2018). We constrain the emissivity using certain NDVI thresholds to distinguish different land surface types. The algorithm includes atmospheric corrections and environmental thermal emissions to minimise the uncertainties. In the analysis, we emphasise that the omission of crucial meteorological parameters and inaccurately determined emissivities can lead to a considerably underestimated LST; however, if the emissivity is underestimated, the LST can be overestimated. The retrieved LST is validated by reference temperatures from nearby ponds and weather stations. The validation of the thermal measurements indicates a mean absolute error of about 0.5 K. The novelty of the dual sensor system is that it simultaneously captures highly spatially resolved optical and thermal images, in order to construct the precise LST ortho-mosaics required to monitor plant diseases and drought stress and validate airborne and satellite data.

show abstract

An approach to examining performances of cool/hot sources in mitigating/enhancing land surface temperature under different temperature backgrounds based on landsat 8 image

Cited by 190 publications

References 45 publications

Impacts of Urban Form on Thermal Environment Near the Surface Region at Pedestrian Height: A Case Study Based on High-Density Built-Up Areas of Nanjing City in China

Impacts of Urban Form on Thermal Environment Near the Surface Region at Pedestrian Height: A Case Study Based on High-Density Built-Up Areas of Nanjing City in China

Analysis of Forest Deforestation and its Driving Factors in Myanmar from 1988 to 2017

Land Surface Temperature Retrieval for Agricultural Areas Using a Novel UAV Platform Equipped with a Thermal Infrared and Multispectral Sensor

Contact Info

Product

Resources

About