Journal of Remote Sensing / 2021 / Article / Tab 2

Research Article

A New Method for Building-Level Population Estimation by Integrating LiDAR, Nighttime Light, and POI Data

Table 2

Independent features derived from multisource data.

Feature nameDescriptionData source

Mean_NTLThe mean NTL radiation value of all grids in a single building.Luojia1-01 NTL
Sum_NTLThe total NTL radiance value of all grids in a single building.
STD_NTLThe standard deviation of NTL radiance value of all grids in a single building.
Mean_NTL_slopeThe mean slope of NTL radiance value of all grids in a single building.
Min_NTLThe minimum radiance value of NTL of all grids in a single building.
Max_NTLThe maximum radiance value of NTL of all grids in a single building.

Area_buildingThe area of an individual building footprint.LiDAR
Volume_buildingThe volume of an individual building.

Min_POI_a/b/c/d/eThe minimum kernel density of all grids in a single building.POI
Max_POI_a/b/c/d/eThe maximum kernel density of all grids in a single building.
Mean_POI_a/b/c/d/eThe mean kernel density of all grids in a single building.
Sum_POI_a/b/c/d/eThe total kernel density of all grids in a single building.
STD_POI_a/b/c/d/eThe standard deviation of kernel density of all grids in a single building.