Sun et al., 2015 - Google Patents
Comparing surface-and canopy-layer urban heat islands over Beijing using MODIS dataSun et al., 2015
View PDF- Document ID
- 11275332413338059316
- Author
- Sun H
- Chen Y
- Zhan W
- Publication year
- Publication venue
- International Journal of Remote Sensing
External Links
Snippet
The canopy-layer urban heat island (CLHI) and the surface-layer urban heat island (SLHI) of Beijing, the capital city of China, were compared on the spatial scale of a city and the temporal scale of a year in this study. A differential temperature vegetation index (DTVX) …
- 239000010410 layer 0 abstract description 25
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/08—Adaptations of balloons, missiles, or aircraft for meteorological purposes; Radiosondes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sun et al. | Comparing surface-and canopy-layer urban heat islands over Beijing using MODIS data | |
| Zhao et al. | Influence of urban expansion on the urban heat island effect in Shanghai | |
| Zhou et al. | Modelling the diurnal variations of urban heat islands with multi-source satellite data | |
| Majkowska et al. | The urban heat island in the city of Poznań as derived from Landsat 5 TM | |
| Cao et al. | Seasonal and diurnal surface urban heat islands in China: An investigation of driving factors with three-dimensional urban morphological parameters | |
| Zhang et al. | Empirical models for estimating daily maximum, minimum and mean air temperatures with MODIS land surface temperatures | |
| Zhou et al. | Intercomparison of methods for estimating land surface temperature from a Landsat-5 TM image in an arid region with low water vapour in the atmosphere | |
| Swain et al. | Impact of rapid urbanization on the city of Bhubaneswar, India | |
| Zhao et al. | Spatiotemporal characteristics of urban surface temperature and its relationship with landscape metrics and vegetation cover in rapid urbanization region | |
| Kuang et al. | Examining the impacts of urbanization on surface radiation using Landsat imagery | |
| Tomlinson et al. | Comparing night-time satellite land surface temperature from MODIS and ground measured air temperature across a conurbation | |
| Hao et al. | Spatiotemporal changes of urban impervious surface area and land surface temperature in Beijing from 1990 to 2014 | |
| Sheng et al. | Impacts of land-cover types on an urban heat island in Hangzhou, China | |
| Meng et al. | Remote-sensing image-based analysis of the patterns of urban heat islands in rapidly urbanizing Jinan, China | |
| Du et al. | Contrasting trends and drivers of global surface and canopy urban heat islands | |
| Rasul et al. | Applying a normalized ratio scale technique to assess influences of urban expansion on land surface temperature of the semi-arid city of Erbil | |
| Elmes et al. | Mapping spatiotemporal variability of the urban heat island across an urban gradient in Worcester, Massachusetts using in-situ Thermochrons and Landsat-8 Thermal Infrared Sensor (TIRS) data | |
| Barbierato et al. | Quantifying the impact of trees on land surface temperature: A downscaling algorithm at city-scale | |
| Mohammad et al. | A spatio-temporal assessment and prediction of surface urban heat island intensity using multiple linear regression techniques over Ahmedabad City, Gujarat | |
| Natsagdorj et al. | An integrated methodology for soil moisture analysis using multispectral data in Mongolia | |
| Peón et al. | Improvements in the estimation of daily minimum air temperature in peninsular Spain using MODIS land surface temperature | |
| Liu et al. | Estimating the Surface Air Temperature by Remote Sensing in Northwest China Using an Improved Advection‐Energy Balance for Air Temperature Model | |
| Sheng et al. | Quantifying the spatial and temporal relationship between air and land surface temperatures of different land-cover types in Southeastern China | |
| Gao et al. | Estimation of the north–south transect of Eastern China forest biomass using remote sensing and forest inventory data | |
| Li et al. | Monitoring of urban heat island in Shanghai, China, from 1981 to 2010 with satellite data |