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
2019-04-17 09:24:29	ga_s2bm_ard_3-2-1_56JNQ_2019-04-16_final.stac-item
2019-04-20 09:34:25	ga_s2bm_ard_3-2-1_56JNQ_2019-04-20_final.stac-item
2019-04-27 09:24:31	ga_s2bm_ard_3-2-1_56JNQ_2019-04-26_final.stac-item
2019-04-30 09:34:27	ga_s2bm_ard_3-2-1_56JNQ_2019-04-30_final.stac-item
2019-05-07 09:24:32	ga_s2bm_ard_3-2-1_56JNQ_2019-05-06_final.stac-item
2019-05-10 09:34:28	ga_s2bm_ard_3-2-1_56JNQ_2019-05-10_final.stac-item
2019-05-17 09:24:32	ga_s2bm_ard_3-2-1_56JNQ_2019-05-16_final.stac-item
2019-05-20 09:34:28	ga_s2bm_ard_3-2-1_56JNQ_2019-05-20_final.stac-item
2019-05-27 09:24:32	ga_s2bm_ard_3-2-1_56JNQ_2019-05-26_final.stac-item
2019-05-30 09:34:28	ga_s2bm_ard_3-2-1_56JNQ_2019-05-30_final.stac-item
2019-06-06 09:24:31	ga_s2bm_ard_3-2-1_56JNQ_2019-06-05_final.stac-item
2019-06-09 09:34:27	ga_s2bm_ard_3-2-1_56JNQ_2019-06-09_final.stac-item
2019-06-16 09:24:31	ga_s2bm_ard_3-2-1_56JNQ_2019-06-15_final.stac-item
2019-06-19 09:34:27	ga_s2bm_ard_3-2-1_56JNQ_2019-06-19_final.stac-item
2019-06-26 09:24:32	ga_s2bm_ard_3-2-1_56JNQ_2019-06-25_final.stac-item
2019-06-29 09:34:28	ga_s2bm_ard_3-2-1_56JNQ_2019-06-29_final.stac-item
2019-07-06 09:24:32	ga_s2bm_ard_3-2-1_56JNQ_2019-07-05_final.stac-item
2019-07-09 09:34:28	ga_s2bm_ard_3-2-1_56JNQ_2019-07-09_final.stac-item
2019-07-16 09:24:32	ga_s2bm_ard_3-2-1_56JNQ_2019-07-15_final.stac-item
2019-07-19 09:34:28	ga_s2bm_ard_3-2-1_56JNQ_2019-07-19_final.stac-item
2019-07-26 09:24:32	ga_s2bm_ard_3-2-1_56JNQ_2019-07-25_final.stac-item
2019-07-29 09:34:27	ga_s2bm_ard_3-2-1_56JNQ_2019-07-29_final.stac-item
2019-08-05 09:24:31	ga_s2bm_ard_3-2-1_56JNQ_2019-08-04_final.stac-item
2019-08-08 09:34:26	ga_s2bm_ard_3-2-1_56JNQ_2019-08-08_final.stac-item
2019-08-15 09:24:30	ga_s2bm_ard_3-2-1_56JNQ_2019-08-14_final.stac-item
2019-08-18 09:34:25	ga_s2bm_ard_3-2-1_56JNQ_2019-08-18_final.stac-item
2019-08-25 09:24:28	ga_s2bm_ard_3-2-1_56JNQ_2019-08-24_final.stac-item
2019-08-28 09:34:23	ga_s2bm_ard_3-2-1_56JNQ_2019-08-28_final.stac-item
2019-09-04 09:24:26	ga_s2bm_ard_3-2-1_56JNQ_2019-09-03_final.stac-item
2019-09-07 09:34:21	ga_s2bm_ard_3-2-1_56JNQ_2019-09-07_final.stac-item
2019-09-14 09:24:24	ga_s2bm_ard_3-2-1_56JNQ_2019-09-13_final.stac-item
2019-09-17 09:34:19	ga_s2bm_ard_3-2-1_56JNQ_2019-09-17_final.stac-item
2019-09-24 09:24:23	ga_s2bm_ard_3-2-1_56JNQ_2019-09-23_final.stac-item
2019-09-27 09:34:19	ga_s2bm_ard_3-2-1_56JNQ_2019-09-27_final.stac-item
2019-10-04 09:24:24	ga_s2bm_ard_3-2-1_56JNQ_2019-10-03_final.stac-item
2019-10-07 09:34:20	ga_s2bm_ard_3-2-1_56JNQ_2019-10-07_final.stac-item
2019-10-14 09:24:25	ga_s2bm_ard_3-2-1_56JNQ_2019-10-13_final.stac-item
2019-10-17 09:34:20	ga_s2bm_ard_3-2-1_56JNQ_2019-10-17_final.stac-item
2019-10-24 09:24:25	ga_s2bm_ard_3-2-1_56JNQ_2019-10-23_final.stac-item
2019-10-27 09:34:20	ga_s2bm_ard_3-2-1_56JNQ_2019-10-27_final.stac-item
2019-11-03 09:24:24	ga_s2bm_ard_3-2-1_56JNQ_2019-11-02_final.stac-item
2019-11-06 09:34:19	ga_s2bm_ard_3-2-1_56JNQ_2019-11-06_final.stac-item
2019-11-13 09:24:23	ga_s2bm_ard_3-2-1_56JNQ_2019-11-12_final.stac-item
2019-11-16 09:34:18	ga_s2bm_ard_3-2-1_56JNQ_2019-11-16_final.stac-item
2019-11-23 09:24:21	ga_s2bm_ard_3-2-1_56JNQ_2019-11-22_final.stac-item
2019-12-03 09:24:18	ga_s2bm_ard_3-2-1_56JNQ_2019-12-02_final.stac-item
2019-12-06 09:34:13	ga_s2bm_ard_3-2-1_56JNQ_2019-12-06_final.stac-item
2019-12-13 09:24:18	ga_s2bm_ard_3-2-1_56JNQ_2019-12-12_final.stac-item
2021-08-07 09:34:06	ga_s2bm_ard_3-2-1_56JNR_2021-08-07_final.stac-item
2022-12-30 09:34:04	ga_s2bm_ard_3-2-1_56JNR_2022-12-30_final.stac-item
2023-01-09 09:34:01	ga_s2bm_ard_3-2-1_56JNR_2023-01-09_final.stac-item
2023-01-19 09:34:02	ga_s2bm_ard_3-2-1_56JNR_2023-01-19_final.stac-item
2023-01-29 09:34:02	ga_s2bm_ard_3-2-1_56JNR_2023-01-29_final.stac-item
2023-02-08 09:34:03	ga_s2bm_ard_3-2-1_56JNR_2023-02-08_final.stac-item
2023-02-18 09:34:03	ga_s2bm_ard_3-2-1_56JNR_2023-02-18_final.stac-item
2023-02-28 09:34:05	ga_s2bm_ard_3-2-1_56JNR_2023-02-28_final.stac-item
2023-03-10 09:34:09	ga_s2bm_ard_3-2-1_56JNR_2023-03-10_final.stac-item
2023-03-20 09:34:08	ga_s2bm_ard_3-2-1_56JNR_2023-03-20_final.stac-item
2023-03-30 09:34:08	ga_s2bm_ard_3-2-1_56JNR_2023-03-30_final.stac-item
2023-04-09 09:34:07	ga_s2bm_ard_3-2-1_56JNR_2023-04-09_final.stac-item
2023-04-19 09:34:06	ga_s2bm_ard_3-2-1_56JNR_2023-04-19_final.stac-item
2023-04-29 09:34:06	ga_s2bm_ard_3-2-1_56JNR_2023-04-29_final.stac-item
2023-05-09 09:34:07	ga_s2bm_ard_3-2-1_56JNR_2023-05-09_final.stac-item
2023-05-16 09:24:13	ga_s2bm_ard_3-2-1_56JNR_2023-05-15_final.stac-item
2023-05-19 09:34:09	ga_s2bm_ard_3-2-1_56JNR_2023-05-19_final.stac-item
2023-05-26 09:24:14	ga_s2bm_ard_3-2-1_56JNR_2023-05-25_final.stac-item
2023-05-29 09:34:09	ga_s2bm_ard_3-2-1_56JNR_2023-05-29_final.stac-item
2023-06-08 09:34:09	ga_s2bm_ard_3-2-1_56JNR_2023-06-08_final.stac-item
2023-06-18 09:34:09	ga_s2bm_ard_3-2-1_56JNR_2023-06-18_final.stac-item
2023-06-28 09:34:09	ga_s2bm_ard_3-2-1_56JNR_2023-06-28_final.stac-item
2023-07-08 09:34:10	ga_s2bm_ard_3-2-1_56JNR_2023-07-08_final.stac-item
2023-07-18 09:34:10	ga_s2bm_ard_3-2-1_56JNR_2023-07-18_final.stac-item
2023-07-28 09:34:10	ga_s2bm_ard_3-2-1_56JNR_2023-07-28_final.stac-item
2023-08-07 09:34:10	ga_s2bm_ard_3-2-1_56JNR_2023-08-07_final.stac-item
2023-08-17 09:34:10	ga_s2bm_ard_3-2-1_56JNR_2023-08-17_final.stac-item
2023-08-27 09:34:09	ga_s2bm_ard_3-2-1_56JNR_2023-08-27_final.stac-item
2023-09-06 09:34:09	ga_s2bm_ard_3-2-1_56JNR_2023-09-06_final.stac-item
2023-09-16 09:34:08	ga_s2bm_ard_3-2-1_56JNR_2023-09-16_final.stac-item
2023-09-26 09:34:08	ga_s2bm_ard_3-2-1_56JNR_2023-09-26_final.stac-item
2023-10-06 09:34:04	ga_s2bm_ard_3-2-1_56JNR_2023-10-06_final.stac-item
2023-10-16 09:34:07	ga_s2bm_ard_3-2-1_56JNR_2023-10-16_final.stac-item
2023-10-26 09:34:05	ga_s2bm_ard_3-2-1_56JNR_2023-10-26_final.stac-item
2023-11-05 09:34:07	ga_s2bm_ard_3-2-1_56JNR_2023-11-05_final.stac-item
2023-11-15 09:34:04	ga_s2bm_ard_3-2-1_56JNR_2023-11-15_final.stac-item
2023-11-25 09:34:00	ga_s2bm_ard_3-2-1_56JNR_2023-11-25_final.stac-item
2023-12-15 09:34:03	ga_s2bm_ard_3-2-1_56JNR_2023-12-15_final.stac-item
2023-12-25 09:34:06	ga_s2bm_ard_3-2-1_56JNR_2023-12-25_final.stac-item
2024-01-04 09:34:05	ga_s2bm_ard_3-2-1_56JNR_2024-01-04_final.stac-item
2024-01-14 09:34:03	ga_s2bm_ard_3-2-1_56JNR_2024-01-14_final.stac-item
2024-01-24 09:34:04	ga_s2bm_ard_3-2-1_56JNR_2024-01-24_final.stac-item
2024-02-03 09:34:02	ga_s2bm_ard_3-2-1_56JNR_2024-02-03_final.stac-item
2024-02-13 09:34:05	ga_s2bm_ard_3-2-1_56JNR_2024-02-13_final.stac-item
2024-02-23 09:34:05	ga_s2bm_ard_3-2-1_56JNR_2024-02-23_final.stac-item
2024-03-04 09:34:01	ga_s2bm_ard_3-2-1_56JNR_2024-03-04_final.stac-item
2024-03-14 09:34:02	ga_s2bm_ard_3-2-1_56JNR_2024-03-14_final.stac-item
2024-03-24 09:34:05	ga_s2bm_ard_3-2-1_56JNR_2024-03-24_final.stac-item
2024-04-03 09:34:03	ga_s2bm_ard_3-2-1_56JNR_2024-04-03_final.stac-item
2024-04-13 09:34:05	ga_s2bm_ard_3-2-1_56JNR_2024-04-13_final.stac-item
2024-04-23 09:34:04	ga_s2bm_ard_3-2-1_56JNR_2024-04-23_final.stac-item
2024-05-03 09:34:05	ga_s2bm_ard_3-2-1_56JNR_2024-05-03_final.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

Other products

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