Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-12-16 09:58:11	ga_s2bm_ard_3-2-1_54GWA_2022-12-16_nrt.stac-item
2022-12-16 09:58:24	ga_s2bm_ard_3-2-1_54GWV_2022-12-16_nrt.stac-item
2022-12-26 09:58:12	ga_s2bm_ard_3-2-1_54GWA_2022-12-26_nrt.stac-item
2022-12-26 09:58:31	ga_s2bm_ard_3-2-1_54GVV_2022-12-26_nrt.stac-item
2022-12-26 09:58:33	ga_s2bm_ard_3-2-1_54GWU_2022-12-26_nrt.stac-item
2023-01-05 09:58:11	ga_s2bm_ard_3-2-1_54GWA_2023-01-05_nrt.stac-item
2023-01-15 09:58:09	ga_s2bm_ard_3-2-1_54GWA_2023-01-15_nrt.stac-item
2023-01-25 09:58:11	ga_s2bm_ard_3-2-1_54GWA_2023-01-25_nrt.stac-item
2023-02-04 09:58:10	ga_s2bm_ard_3-2-1_54GWA_2023-02-04_nrt.stac-item
2023-02-14 09:58:12	ga_s2bm_ard_3-2-1_54GWA_2023-02-14_nrt.stac-item
2023-02-14 09:58:30	ga_s2bm_ard_3-2-1_54GVV_2023-02-14_nrt.stac-item
2023-02-24 09:58:13	ga_s2bm_ard_3-2-1_54GWA_2023-02-24_nrt.stac-item
2023-02-24 09:58:26	ga_s2bm_ard_3-2-1_54GWV_2023-02-24_nrt.stac-item
2023-03-06 09:58:16	ga_s2bm_ard_3-2-1_54GWA_2023-03-06_nrt.stac-item
2023-03-06 09:58:29	ga_s2bm_ard_3-2-1_54GWV_2023-03-06_nrt.stac-item
2023-03-06 09:58:34	ga_s2bm_ard_3-2-1_54GVV_2023-03-06_nrt.stac-item
2023-03-16 09:58:30	ga_s2bm_ard_3-2-1_54GWV_2023-03-16_nrt.stac-item
2023-03-16 09:58:35	ga_s2bm_ard_3-2-1_54GVV_2023-03-16_nrt.stac-item
2023-03-26 09:58:16	ga_s2bm_ard_3-2-1_54GWA_2023-03-26_nrt.stac-item
2023-03-26 09:58:29	ga_s2bm_ard_3-2-1_54GWV_2023-03-26_nrt.stac-item
2023-03-26 09:58:34	ga_s2bm_ard_3-2-1_54GVV_2023-03-26_nrt.stac-item
2023-04-05 09:58:16	ga_s2bm_ard_3-2-1_54GWA_2023-04-05_nrt.stac-item
2023-04-05 09:58:29	ga_s2bm_ard_3-2-1_54GWV_2023-04-05_nrt.stac-item
2023-04-15 09:58:14	ga_s2bm_ard_3-2-1_54GWA_2023-04-15_nrt.stac-item
2023-04-15 09:58:27	ga_s2bm_ard_3-2-1_54GWV_2023-04-15_nrt.stac-item
2023-04-25 09:58:15	ga_s2bm_ard_3-2-1_54GWA_2023-04-25_nrt.stac-item
2023-04-25 09:58:28	ga_s2bm_ard_3-2-1_54GWV_2023-04-25_nrt.stac-item
2023-05-05 09:58:16	ga_s2bm_ard_3-2-1_54GWA_2023-05-05_nrt.stac-item
2023-05-05 09:58:29	ga_s2bm_ard_3-2-1_54GWV_2023-05-05_nrt.stac-item
2023-05-05 09:58:34	ga_s2bm_ard_3-2-1_54GVV_2023-05-05_nrt.stac-item
2023-05-15 09:58:17	ga_s2bm_ard_3-2-1_54GWA_2023-05-15_nrt.stac-item
2023-05-15 09:58:30	ga_s2bm_ard_3-2-1_54GWV_2023-05-15_nrt.stac-item
2023-05-15 09:58:35	ga_s2bm_ard_3-2-1_54GVV_2023-05-15_nrt.stac-item
2023-05-25 09:58:18	ga_s2bm_ard_3-2-1_54GWA_2023-05-25_nrt.stac-item
2023-05-25 09:58:31	ga_s2bm_ard_3-2-1_54GWV_2023-05-25_nrt.stac-item
2023-05-25 09:58:36	ga_s2bm_ard_3-2-1_54GVV_2023-05-25_nrt.stac-item
2023-06-04 09:58:17	ga_s2bm_ard_3-2-1_54GWA_2023-06-04_nrt.stac-item
2023-06-04 09:58:30	ga_s2bm_ard_3-2-1_54GWV_2023-06-04_nrt.stac-item
2023-06-14 09:58:18	ga_s2bm_ard_3-2-1_54GWA_2023-06-14_nrt.stac-item
2023-06-14 09:58:36	ga_s2bm_ard_3-2-1_54GVV_2023-06-14_nrt.stac-item
2023-06-24 09:58:17	ga_s2bm_ard_3-2-1_54GWA_2023-06-24_nrt.stac-item
2023-06-24 09:58:30	ga_s2bm_ard_3-2-1_54GWV_2023-06-24_nrt.stac-item
2023-07-04 09:58:19	ga_s2bm_ard_3-2-1_54GWA_2023-07-04_nrt.stac-item
2023-07-04 09:58:37	ga_s2bm_ard_3-2-1_54GVV_2023-07-04_nrt.stac-item
2023-07-14 09:58:18	ga_s2bm_ard_3-2-1_54GWA_2023-07-14_nrt.stac-item
2023-07-14 09:58:36	ga_s2bm_ard_3-2-1_54GVV_2023-07-14_nrt.stac-item
2023-07-24 09:58:19	ga_s2bm_ard_3-2-1_54GWA_2023-07-24_nrt.stac-item
2023-08-03 09:58:18	ga_s2bm_ard_3-2-1_54GWA_2023-08-03_nrt.stac-item
2023-08-03 09:58:36	ga_s2bm_ard_3-2-1_54GVV_2023-08-03_nrt.stac-item
2023-08-13 09:58:19	ga_s2bm_ard_3-2-1_54GWA_2023-08-13_nrt.stac-item
2023-08-13 09:58:37	ga_s2bm_ard_3-2-1_54GVV_2023-08-13_nrt.stac-item
2023-08-23 09:58:18	ga_s2bm_ard_3-2-1_54GWA_2023-08-23_nrt.stac-item
2023-08-23 09:58:30	ga_s2bm_ard_3-2-1_54GWV_2023-08-23_nrt.stac-item
2023-08-23 09:58:36	ga_s2bm_ard_3-2-1_54GVV_2023-08-23_nrt.stac-item
2023-09-02 09:58:18	ga_s2bm_ard_3-2-1_54GWA_2023-09-02_nrt.stac-item
2023-09-02 09:58:36	ga_s2bm_ard_3-2-1_54GVV_2023-09-02_nrt.stac-item
2023-09-12 09:58:17	ga_s2bm_ard_3-2-1_54GWA_2023-09-12_nrt.stac-item
2023-09-12 09:58:35	ga_s2bm_ard_3-2-1_54GVV_2023-09-12_nrt.stac-item
2023-09-22 09:58:17	ga_s2bm_ard_3-2-1_54GWA_2023-09-22_nrt.stac-item
2023-09-22 09:58:24	ga_s2bm_ard_3-2-1_54GWA_2023-09-22_nrt.stac-item
2023-09-22 09:58:35	ga_s2bm_ard_3-2-1_54GVV_2023-09-22_nrt.stac-item
2023-10-02 09:58:15	ga_s2bm_ard_3-2-1_54GWA_2023-10-02_nrt.stac-item
2023-10-02 09:58:33	ga_s2bm_ard_3-2-1_54GVV_2023-10-02_nrt.stac-item
2023-10-12 09:58:15	ga_s2bm_ard_3-2-1_54GWA_2023-10-12_nrt.stac-item
2023-10-22 09:58:15	ga_s2bm_ard_3-2-1_54GWA_2023-10-22_nrt.stac-item
2023-10-22 09:58:33	ga_s2bm_ard_3-2-1_54GVV_2023-10-22_nrt.stac-item
2023-11-01 09:58:16	ga_s2bm_ard_3-2-1_54GWA_2023-11-01_nrt.stac-item
2023-11-01 09:58:28	ga_s2bm_ard_3-2-1_54GWV_2023-11-01_nrt.stac-item
2023-11-01 09:58:34	ga_s2bm_ard_3-2-1_54GVV_2023-11-01_nrt.stac-item
2023-11-11 09:58:15	ga_s2bm_ard_3-2-1_54GWA_2023-11-11_nrt.stac-item
2023-11-11 09:58:28	ga_s2bm_ard_3-2-1_54GWV_2023-11-11_nrt.stac-item
2023-11-11 09:58:33	ga_s2bm_ard_3-2-1_54GVV_2023-11-11_nrt.stac-item
2023-11-21 09:58:10	ga_s2bm_ard_3-2-1_54GWA_2023-11-21_nrt.stac-item
2023-12-01 09:58:10	ga_s2bm_ard_3-2-1_54GWA_2023-12-01_nrt.stac-item
2023-12-01 09:58:23	ga_s2bm_ard_3-2-1_54GWV_2023-12-01_nrt.stac-item
2023-12-11 09:58:10	ga_s2bm_ard_3-2-1_54GWA_2023-12-11_nrt.stac-item
2023-12-21 09:58:14	ga_s2bm_ard_3-2-1_54GWA_2023-12-21_nrt.stac-item
2023-12-21 09:58:32	ga_s2bm_ard_3-2-1_54GVV_2023-12-21_nrt.stac-item
2023-12-31 09:58:14	ga_s2bm_ard_3-2-1_54GWA_2023-12-31_nrt.stac-item
2023-12-31 09:58:32	ga_s2bm_ard_3-2-1_54GVV_2023-12-31_nrt.stac-item
2024-01-10 09:58:11	ga_s2bm_ard_3-2-1_54GWA_2024-01-10_nrt.stac-item
2024-01-20 09:58:12	ga_s2bm_ard_3-2-1_54GWA_2024-01-20_nrt.stac-item
2024-01-30 09:58:11	ga_s2bm_ard_3-2-1_54GWA_2024-01-30_nrt.stac-item
2024-02-09 09:58:13	ga_s2bm_ard_3-2-1_54GWA_2024-02-09_nrt.stac-item
2024-02-19 09:58:14	ga_s2bm_ard_3-2-1_54GWA_2024-02-19_nrt.stac-item
2024-02-29 09:58:11	ga_s2bm_ard_3-2-1_54GWA_2024-02-29_nrt.stac-item
2024-02-29 09:58:24	ga_s2bm_ard_3-2-1_54GWV_2024-02-29_nrt.stac-item
2024-03-10 09:58:09	ga_s2bm_ard_3-2-1_54GWA_2024-03-10_nrt.stac-item
2024-03-20 09:58:13	ga_s2bm_ard_3-2-1_54GWA_2024-03-20_nrt.stac-item
2024-03-20 09:58:31	ga_s2bm_ard_3-2-1_54GVV_2024-03-20_nrt.stac-item
2024-03-30 09:58:13	ga_s2bm_ard_3-2-1_54GWA_2024-03-30_nrt.stac-item
2024-03-30 09:58:31	ga_s2bm_ard_3-2-1_54GVV_2024-03-30_nrt.stac-item
2024-04-09 09:58:13	ga_s2bm_ard_3-2-1_54GWA_2024-04-09_interim.stac-item
2024-04-09 09:58:31	ga_s2bm_ard_3-2-1_54GVV_2024-04-09_interim.stac-item
2024-04-19 09:58:14	ga_s2bm_ard_3-2-1_54GWA_2024-04-19_nrt.stac-item
2024-04-19 09:58:32	ga_s2bm_ard_3-2-1_54GVV_2024-04-19_nrt.stac-item
2024-04-29 09:58:13	ga_s2bm_ard_3-2-1_54GWA_2024-04-29_nrt.stac-item
2024-04-29 09:58:31	ga_s2bm_ard_3-2-1_54GVV_2024-04-29_nrt.stac-item
2024-05-09 09:58:14	ga_s2bm_ard_3-2-1_54GWA_2024-05-09_nrt.stac-item
2024-05-09 09:58:32	ga_s2bm_ard_3-2-1_54GVV_2024-05-09_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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