Street View DEMs

Generate digital elevation maps (DEM) from Google Street View API queries.

Installation

Using Conda

Reproduced from Conda's user guide.

1. Create the environment from the environment.yml file:

   conda env create -f environment.yml

2. Activate the new environment:

   conda activate streetview-dem

3. Verify that the new environment was installed correctly:

   conda env list

   You can also use conda info --envs.

Running

run.py queries a bounding rectangle for available Google Street View panoramas and builds a point cloud from the elevation data of the panoramas. Refer to the Arguments section for details about input arguments.

Sample run:

python run.py 1.2843199044475546 103.77660798583958 1.3019238320101958 103.756764131736 -r 200 -t 3414 -o ./output/wcp.xyz

The above command will query the bounding rectangle defined by (1.2843199044475546, 103.77660798583958) and (1.3019238320101958, 103.756764131736) at a sample resolution of 200m. The output will be stored in ./output/wcp.xyz in EPSG:3414 format.

Arguments

Name	Flags	Type	Description	Required	Default
p1_lat	-	float	Latitude of p1 in WGS84	True	-
p1_lon	-	float	Longitude of p1 in WGS84	True	-
p2_lat	-	float	Latitude of p2 in WGS84	True	-
p2_lon	-	float	Longitude of p2 in WGS84	True	-
resolution	-r, --resolution	float	Maximum orthogonal distance between sample points in metres	False	50.0
target_crs	-t, --target	int	EPSG code of the target CRS	False	4326
output	-o, --output	str	Output filepath	False	./output.csv

p1 and p2 serve as corner points defining the query bounding rectangle.