Mapping Impervious Surface Distribution with Integration of SNNP VIIRS-DNB and MODIS NDVI Data

Abstract

Data from the U.S. Defense Meteorological Satellite Program's Operational Line-scan System are often used to map impervious surface area (ISA) distribution at regional and global scales, but its coarse spatial resolution and data saturation produce high inaccuracy in ISA estimation. Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite's Day/Night Band (VIIRS-DNB) with its high spatial resolution and dynamic data range may provide new insights but has not been fully examined in mapping ISA distribution. In this paper, a new variable-Large-scale Impervious Surface Index (LISI)-is proposed to integrate VIIRS-DNB and Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data for mapping ISA distribution. A regression model was established, in which LISI was used as an independent variable and the reference ISA from Landsat images was a dependent variable. The results indicated a better estimation performance using LISI than using a single VIIRS-DNB or MODIS NDVI variable. The LISI-based approach provides accurate spatial patterns from high values in core urban areas to low values in rural areas, with an overall root mean squared error of 0.11. The LISI-based approach is recommended for fractional ISA estimation in a large area. OPEN ACCESSRemote Sens. 2015, 7 12460

Examining Urban Impervious Surface Distribution and Its Dynamic Change in Hangzhou Metropolis

“…This research aggregated the ISA results from the pixel level at a cell size of 30ˆ30 m to fractional values at a cell size of 1ˆ1 km to show clearly the ISA transition from the urban core to rural areas. This implies the necessity of developing fractional ISA distribution, especially when medium or coarse spatial resolution images are used for ISA mapping [17,36,60]. The availability of very high spatial resolution images such as QuickBird, Pleiades, and Worldview with half-meter spatial resolution provides a new platform for accurately producing ISA data, which can be used to calibrate the medium or coarse spatial resolution images [36,60].…”

Mapping Regional Urban Extent Using NPP-VIIRS DNB and MODIS NDVI Data

“…Previous studies have recommended the NPP-VIIRS DNB for extracting urban extent at regional and continental scales [24,31]. The wider radiometric range and finer spatial resolution of NPP-VIIRS DNB provide an opportunity to obtain more detailed information about the urban extent.…”

“…Several indexes have been proposed to combine the advantages of both NPP-VIIRS DNB and MODIS NDVI features [31,48]. It has been proven that these indexes are effective on large-scale urban extent extraction.…”

“…For contrastive analysis on the reliability, an impervious surface index distribution mapping method, Large-scale Impervious Surface Index (LISI) [31], was introduced. LISI was calculated under the same input data as those used by PUL.…”

“…Using solely NPP-VIIRS DNB may produce inaccurate spatial patterns of cities, especially for considerably different economic conditions. Concerning this issue, Guo et al [31] established a Large-scale Impervious Surface Index (LISI) integrating NPP-VIIRS DNB and MODIS NDVI variables, which greatly improved the extraction performance. The LISI-based approach provides accurate spatial patterns from high values in core urban areas to low values in rural areas, with an overall root mean squared error of 0.11.…”