Dataset: Sentinel-1 GRD#

Dataset identifier: S1GRD
Data store: sentinelhub

How to open this dataset in AVL JupyterLab  ⧉

sentinelhub_store = new_data_store('sentinelhub')
ds = sentinelhub_store.open_data('S1GRD, bbox=[?], spatial_res=?, time_range=[?]')

Bounding box map#

Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter	Value
Bounding box longitude (°)	-180.0 to 180.0
Bounding box latitude (°)	-85.0 to 85.0
Time range	2014-10-03 to present
Time period	1D

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Variable	Long name	Units
VV	[none]	Linear power in the chosen backscattering coefficient
VH	[none]	Linear power in the chosen backscattering coefficient
HV	[none]	Linear power in the chosen backscattering coefficient
HH	[none]	Linear power in the chosen backscattering coefficient
localIncidenceAngle	[none]	[none]
scatteringArea	[none]	[none]
shadowMask	[none]	[none]

Full variable metadata#

VV#

Field	Value
sample_type	FLOAT32
units	Linear power in the chosen backscattering coefficient

VH#

Field	Value
sample_type	FLOAT32
units	Linear power in the chosen backscattering coefficient

HV#

Field	Value
sample_type	FLOAT32
units	Linear power in the chosen backscattering coefficient

HH#

Field	Value
sample_type	FLOAT32
units	Linear power in the chosen backscattering coefficient

localIncidenceAngle#

scatteringArea#

shadowMask#

Full dataset metadata#

Field	Value
title	Sentinel-1 GRD
bands	VV: sample_type: FLOAT32, units: Linear power in the chosen backscattering coefficient, VH: sample_type: FLOAT32, units: Linear power in the chosen backscattering coefficient, HV: sample_type: FLOAT32, units: Linear power in the chosen backscattering coefficient, HH: sample_type: FLOAT32, units: Linear power in the chosen backscattering coefficient
processing_level	L1B
request_period	1D
collection_name	sentinel-1-grd