Integrating Multiple Source Data to Enhance Variation and Weaken the Blooming Effect of DMSP-OLS Light

Remote Sensing

Yun Sun¹  Qian Cao¹  Deyong Yu¹  Ruifang Hao¹  Yupeng Liu¹  Yang Liu¹ 

[1] State Key Laboratory of Earth Surface Processes and Resource Ecology/Center forHuman-Environment System Sustainability (CHESS), Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China;

关键词: NDVI;    urban heat island;    urbanization area;    landscape ecology;    land use;    land cover;   

DOI  :  10.3390/rs70201422

来源: DOAJ

【 摘 要 】

Defense Meteorological Satellite Program/Operational Linescan System(DMSP-OLS) nighttime light has proved to be an effective tool to monitor human activities, especially in mapping urban areas. However, the inherent defects of DMSP-OLS light including saturation and blooming effects remain to be tackled. In this study, the Normalized Difference Vegetation Index (NDVI) product of the Moderate-resolution Imaging Spectroradiometer/Normalized Difference Vegetation Index 1-Month (MODND1M), the temperature product of Moderate-resolution Imaging Spectroradiometer/Land Surface Temperature 1-Month (MODLT1M) and DMSP-OLS light were integrated to establish the Vegetation Temperature Light Index (VTLI), aiming at weakening the saturation and blooming effects of DMSP-OLS light. In comparison with DMSP-OLS nighttime light, this new methodology achieved the following improvements: (1) the high value (30%–100%) range of VTLI was concentrated in the urban areas; (2) VTLI could effectively enhance the variation of DMSP-OLS light, especially in the urban center; and (3) VTLI reached convergence faster than Vegetation Adjusted Normalized Urban Index (VANUI). Results showed that the urban areas extracted by VTLI were closer to those from Landsat TM images with the accuracy of kappa coefficients in Beijing (0.410), Shanghai (0.718), Lanzhou (0.483), and Shenyang (0.623), respectively. Thus, it can be concluded that the proposed index is able to serve as a favorable option for urban areas mapping.

【 授权许可】

Unknown