#Temporal temperature conversion verification

#Temporal temperature conversion verification

Gillies RR, Carlson TN, Cui J, Kustas WP, Humes KS (1997) A verification of the ‘triangle’ method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation index (NDVI) and surface radiant temperature. Gillies RR, Carlson TN (1995) Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models. Gallo KP, Owen TW (1998) Assessment of urban heat island: a multi-sensor perspective for the Dallas-Ft.Worth, USA region. doi: 10.1029/2003JD003396Įxcelisvis (2006) ENVI classic tutorial: decision tree classification. Remote Sens Rev 9:161–173Ĭhrysoulakis N (2003) Estimation of the all-wave net radiation balance in urban environment with the combined use of terra/ASTER multispectral imagery and in-situ spatial data. IndonesiaĬarlson TN, Gillies RR, Perry EM (1994) A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover. IEEE Trans Geosci Remote Sens 44:552–555īMKG (Meteorological and Geophysical Bureau of Bandung City) (2011) Climate data of Bandung City year 1990–2010. Can J Remote Sens 29:141–153īarsi JA, Hook SJ, Schott JR, Raqueno NG, Markham BL (2007) Landsat-5 thematic mapper thermal band calibration update. Based on the results, we recommend the city government to provide more urban green space by cooperating with private land owner, in order to decrease urban temperature and create a healthier living environment for urban inhabitants.īarsi JA, Schott JR, Palluconi FD, Helder DL, Hook SJ, Markham BL, Chander G, O’Donnell EM (2003) Landsat TM and ETM + thermal band calibration. Again the results also confirm that urban vegetation landscape coverage in the surrounding of industrial area reduced the urban temperature. Therefore the results indicate a significant effect of higher density of impervious surfaces coverage (urban built-up area) contributing significantly to the increase of urban temperature. The maximum urban temperatures, NDBI, and the minimum values of WDRVI indices were established in 2009. It was found that, due to the uncontrolled urban growth and the removal of urban vegetation cover and urban green space, there was a significant increase in urban temperature, in NDBI, but a decrease in WDRVI. The changes in urban vegetation cover, urban temperature, and urban built-up area observed using Landsat 5 TM and Landsat 7 ETM + bands were evaluated on the basis of the WDRVI (Wide Dynamic Range Vegetation Indices), NDBI (Normalized Difference Built-up Index), and SAVI (Soil-Adjusted Vegetation Index). This study presents an evaluation of urban micro-climate about the exsistence level urban vegetation, in association with the urban temperature (surface temperature) and urban built-up area of Bandung City.