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
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51HUB_2018-06-30_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51HUB_2018-07-10_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HUB_2018-09-18_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51HUB_2018-10-08_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HUB_2018-10-18_final.stac-item
2018-11-27 11:37:08	ga_s2bm_ard_3-2-1_51HUB_2018-11-27_final.stac-item
2018-12-17 11:37:07	ga_s2bm_ard_3-2-1_51HUB_2018-12-17_final.stac-item
2019-01-06 11:37:11	ga_s2bm_ard_3-2-1_51HUB_2019-01-06_final.stac-item
2019-02-05 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2019-02-05_final.stac-item
2019-02-15 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2019-02-15_final.stac-item
2019-04-26 11:37:19	ga_s2bm_ard_3-2-1_51HUB_2019-04-26_final.stac-item
2019-05-06 11:37:20	ga_s2bm_ard_3-2-1_51HUB_2019-05-06_final.stac-item
2019-05-26 11:37:21	ga_s2bm_ard_3-2-1_51HUB_2019-05-26_final.stac-item
2019-07-05 11:37:21	ga_s2bm_ard_3-2-1_51HUB_2019-07-05_final.stac-item
2019-10-13 11:37:13	ga_s2bm_ard_3-2-1_51HUB_2019-10-13_final.stac-item
2019-11-12 11:37:11	ga_s2bm_ard_3-2-1_51HUB_2019-11-12_final.stac-item
2019-12-12 11:37:07	ga_s2bm_ard_3-2-1_51HUB_2019-12-12_final.stac-item
2020-01-11 11:37:07	ga_s2bm_ard_3-2-1_51HUB_2020-01-11_final.stac-item
2020-01-21 11:37:06	ga_s2bm_ard_3-2-1_51HUB_2020-01-21_final.stac-item
2020-06-09 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2020-06-09_final.stac-item
2020-06-29 11:37:15	ga_s2bm_ard_3-2-1_51HUB_2020-06-29_final.stac-item
2020-07-29 11:37:15	ga_s2bm_ard_3-2-1_51HUB_2020-07-29_final.stac-item
2020-10-17 11:37:16	ga_s2bm_ard_3-2-1_51HUB_2020-10-17_final.stac-item
2020-11-26 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2020-11-26_final.stac-item
2020-12-26 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2020-12-26_final.stac-item
2021-01-25 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2021-01-25_final.stac-item
2021-03-06 11:37:11	ga_s2bm_ard_3-2-1_51HUB_2021-03-06_final.stac-item
2021-04-25 11:37:07	ga_s2bm_ard_3-2-1_51HUB_2021-04-25_final.stac-item
2021-05-05 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2021-05-05_final.stac-item
2021-05-25 11:37:13	ga_s2bm_ard_3-2-1_51HUB_2021-05-25_final.stac-item
2021-06-04 11:37:13	ga_s2bm_ard_3-2-1_51HUB_2021-06-04_final.stac-item
2021-07-04 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2021-07-04_final.stac-item
2021-09-22 11:37:10	ga_s2bm_ard_3-2-1_51HUB_2021-09-22_final.stac-item
2021-10-22 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2021-10-22_final.stac-item
2021-11-01 11:37:13	ga_s2bm_ard_3-2-1_51HUB_2021-11-01_final.stac-item
2021-11-11 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2021-11-11_final.stac-item
2021-11-21 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2021-11-21_final.stac-item
2021-12-31 11:37:08	ga_s2bm_ard_3-2-1_51HUB_2021-12-31_final.stac-item
2022-01-30 11:37:06	ga_s2bm_ard_3-2-1_51HUB_2022-01-30_final.stac-item
2022-04-20 11:37:08	ga_s2bm_ard_3-2-1_51HUB_2022-04-20_final.stac-item
2022-05-20 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2022-05-20_final.stac-item
2022-06-09 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2022-06-09_final.stac-item
2022-07-19 11:37:17	ga_s2bm_ard_3-2-1_51HUB_2022-07-19_final.stac-item
2022-07-29 11:37:17	ga_s2bm_ard_3-2-1_51HUB_2022-07-29_final.stac-item
2022-09-07 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2022-09-07_final.stac-item
2022-09-27 11:37:13	ga_s2bm_ard_3-2-1_51HUB_2022-09-27_final.stac-item
2022-11-06 11:37:10	ga_s2bm_ard_3-2-1_51HUB_2022-11-06_final.stac-item
2022-11-26 11:37:11	ga_s2bm_ard_3-2-1_51HUB_2022-11-26_final.stac-item
2022-12-16 11:37:24	ga_s2bm_ard_3-2-1_51HUA_2022-12-16_nrt.stac-item
2022-12-16 11:37:27	ga_s2bm_ard_3-2-1_51HTA_2022-12-16_nrt.stac-item
2022-12-16 11:37:32	ga_s2bm_ard_3-2-1_51HUV_2022-12-16_nrt.stac-item
2022-12-26 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2022-12-26_final.stac-item
2022-12-26 11:37:25	ga_s2bm_ard_3-2-1_51HUA_2022-12-26_nrt.stac-item
2022-12-26 11:37:28	ga_s2bm_ard_3-2-1_51HTA_2022-12-26_nrt.stac-item
2022-12-26 11:37:33	ga_s2bm_ard_3-2-1_51HUV_2022-12-26_nrt.stac-item
2023-01-05 11:37:26	ga_s2bm_ard_3-2-1_51HTA_2023-01-05_nrt.stac-item
2023-01-15 11:37:22	ga_s2bm_ard_3-2-1_51HUA_2023-01-15_nrt.stac-item
2023-01-15 11:37:25	ga_s2bm_ard_3-2-1_51HTA_2023-01-15_nrt.stac-item
2023-01-15 11:37:30	ga_s2bm_ard_3-2-1_51HUV_2023-01-15_nrt.stac-item
2023-01-15 11:37:30	ga_s2bm_ard_3-2-1_51HTV_2023-01-15_nrt.stac-item
2023-01-25 11:37:10	ga_s2bm_ard_3-2-1_51HUB_2023-01-25_final.stac-item
2023-01-25 11:37:24	ga_s2bm_ard_3-2-1_51HUA_2023-01-25_nrt.stac-item
2023-01-25 11:37:26	ga_s2bm_ard_3-2-1_51HTA_2023-01-25_nrt.stac-item
2023-02-04 11:37:23	ga_s2bm_ard_3-2-1_51HUA_2023-02-04_nrt.stac-item
2023-02-04 11:37:25	ga_s2bm_ard_3-2-1_51HTA_2023-02-04_nrt.stac-item
2023-02-14 11:37:11	ga_s2bm_ard_3-2-1_51HUB_2023-02-14_final.stac-item
2023-02-14 11:37:24	ga_s2bm_ard_3-2-1_51HUA_2023-02-14_nrt.stac-item
2023-02-14 11:37:27	ga_s2bm_ard_3-2-1_51HTA_2023-02-14_nrt.stac-item
2023-02-14 11:37:32	ga_s2bm_ard_3-2-1_51HUV_2023-02-14_nrt.stac-item
2023-02-24 11:37:26	ga_s2bm_ard_3-2-1_51HUA_2023-02-24_nrt.stac-item
2023-02-24 11:37:29	ga_s2bm_ard_3-2-1_51HTA_2023-02-24_nrt.stac-item
2023-02-24 11:37:34	ga_s2bm_ard_3-2-1_51HUV_2023-02-24_nrt.stac-item
2023-02-24 11:37:34	ga_s2bm_ard_3-2-1_51HTV_2023-02-24_nrt.stac-item
2023-03-06 11:37:28	ga_s2bm_ard_3-2-1_51HUA_2023-03-06_nrt.stac-item
2023-03-06 11:37:31	ga_s2bm_ard_3-2-1_51HTA_2023-03-06_nrt.stac-item
2023-03-16 11:37:33	ga_s2bm_ard_3-2-1_51HTA_2023-03-16_nrt.stac-item
2023-03-16 11:37:38	ga_s2bm_ard_3-2-1_51HTV_2023-03-16_nrt.stac-item
2023-03-26 11:37:31	ga_s2bm_ard_3-2-1_51HTA_2023-03-26_nrt.stac-item
2023-04-05 11:37:31	ga_s2bm_ard_3-2-1_51HTA_2023-04-05_nrt.stac-item
2023-04-15 11:37:29	ga_s2bm_ard_3-2-1_51HTA_2023-04-15_nrt.stac-item
2023-04-25 11:37:28	ga_s2bm_ard_3-2-1_51HTA_2023-04-25_nrt.stac-item
2023-04-25 11:37:33	ga_s2bm_ard_3-2-1_51HTA_2023-04-25_nrt.stac-item
2023-05-05 11:37:34	ga_s2bm_ard_3-2-1_51HTA_2023-05-05_nrt.stac-item
2023-05-15 11:37:29	ga_s2bm_ard_3-2-1_51HUA_2023-05-15_nrt.stac-item
2023-06-24 11:37:29	ga_s2bm_ard_3-2-1_51HUA_2023-06-24_nrt.stac-item
2023-07-31 11:27:18	ga_s2bm_ard_3-2-1_51HUB_2023-07-31_final.stac-item
2023-08-10 11:27:18	ga_s2bm_ard_3-2-1_51HUB_2023-08-10_final.stac-item
2023-08-13 11:37:31	ga_s2bm_ard_3-2-1_51HUA_2023-08-13_nrt.stac-item
2023-09-22 11:37:16	ga_s2bm_ard_3-2-1_51HUB_2023-09-22_final.stac-item
2023-09-22 11:37:29	ga_s2bm_ard_3-2-1_51HUA_2023-09-22_nrt.stac-item
2023-10-22 11:37:27	ga_s2bm_ard_3-2-1_51HUA_2023-10-22_nrt.stac-item
2023-11-01 11:37:28	ga_s2bm_ard_3-2-1_51HUA_2023-11-01_nrt.stac-item
2023-12-31 11:37:26	ga_s2bm_ard_3-2-1_51HUA_2023-12-31_nrt.stac-item
2024-02-09 11:37:25	ga_s2bm_ard_3-2-1_51HUA_2024-02-09_nrt.stac-item
2024-02-19 11:37:22	ga_s2bm_ard_3-2-1_51HUA_2024-02-19_nrt.stac-item
2024-02-19 11:37:26	ga_s2bm_ard_3-2-1_51HUA_2024-02-19_nrt.stac-item
2024-02-29 11:37:20	ga_s2bm_ard_3-2-1_51HUA_2024-02-29_nrt.stac-item
2024-03-20 11:37:20	ga_s2bm_ard_3-2-1_51HUA_2024-03-20_nrt.stac-item
2024-03-20 11:37:25	ga_s2bm_ard_3-2-1_51HUA_2024-03-20_nrt.stac-item
2024-04-19 11:37:23	ga_s2bm_ard_3-2-1_51HUA_2024-04-19_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

Other products

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