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
2017-07-02 11:26:09	ga_s2bm_ard_3-2-1_51HUE_2017-07-02_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KXT_2017-07-12_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNH_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HPH_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JNN_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JQM_2017-09-16_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-09-22_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51JVG_2017-09-23_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HNG_2017-09-23_final.stac-item
2017-10-03 11:35:48	ga_s2bm_ard_3-2-1_50JQM_2017-10-03_final
2017-10-03 11:35:48	ga_s2bm_ard_3-2-1_51JVF_2017-10-03_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HLH_2017-10-06_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGK_2017-10-12_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVF_2017-10-13_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JUF_2018-02-07_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51JUF_2018-02-27_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50KQG_2018-03-18_final.stac-item
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JUG_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JVH_2018-04-28_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HPH_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50JQL_2018-05-04_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KQD_2018-05-07_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLT_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JMP_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JMS_2018-05-07_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51HUD_2018-05-08_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JGM_2018-05-10_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KKB_2018-05-10_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JKM_2018-05-20_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGL_2018-05-30_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HMJ_2018-07-26_final
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51HWC_2018-09-15_final.stac-item
2018-12-10 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2018-12-10_final
2018-12-13 11:53:14	ga_s2bm_ard_3-2-1_50KPC_2018-12-13_final
2019-02-02 11:26:18	ga_s2bm_ard_3-2-1_51JUF_2019-02-02_final
2019-02-05 11:36:14	ga_s2bm_ard_3-2-1_51JUF_2019-02-05_final
2019-03-13 11:53:00	ga_s2bm_ard_3-2-1_50KQD_2019-03-13_final.stac-item
2019-04-02 11:55:52	ga_s2bm_ard_3-2-1_50JNN_2019-04-02_final
2019-05-06 11:33:53	ga_s2bm_ard_3-2-1_51KVR_2019-05-06_final
2019-06-22 11:24:37	ga_s2bm_ard_3-2-1_51JWN_2019-06-22_final
2019-07-05 11:33:07	ga_s2bm_ard_3-2-1_51KWU_2019-07-05_final
2019-07-05 11:33:10	ga_s2bm_ard_3-2-1_51KVU_2019-07-05_final
2019-12-05 11:46:49	ga_s2bm_ard_3-2-1_50HMJ_2019-12-05_final
2019-12-19 11:26:09	ga_s2bm_ard_3-2-1_51JVF_2019-12-19_final
2020-02-13 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-02-13_final
2020-02-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-02-16_final
2020-04-27 11:24:07	ga_s2bm_ard_3-2-1_51KXP_2020-04-27_final
2020-05-10 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2020-05-10_final
2020-05-16 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2020-05-16_final
2020-06-02 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-06-02_final
2020-07-16 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2020-07-16_final
2020-07-26 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-07-26_final
2020-08-28 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2020-08-28_final.stac-item
2020-10-10 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-10-10_final
2020-11-09 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2020-11-09_final
2020-11-29 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2020-11-29_final
2020-12-09 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2020-12-09_final
2021-01-21 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final
2021-01-31 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-01-31_final
2021-02-17 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-02-17_final
2021-03-02 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-03-02_final
2021-05-12 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-05-12_final
2021-06-07 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2021-06-07_final
2021-09-08 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2021-09-08_final
2021-09-18 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2021-09-18_final.stac-item
2021-09-21 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-09-21_final
2021-11-18 11:25:05	ga_s2bm_ard_3-2-1_51JVL_2021-11-18_final
2021-12-03 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-12-03_final
2021-12-05 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2021-12-05_final
2021-12-21 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2021-12-21_final
2022-01-20 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2022-01-20_final.stac-item
2022-03-14 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2022-03-14_final
2022-04-07 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2022-04-07_final
2022-05-26 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2022-05-26_final
2022-07-21 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-07-21_final
2022-09-10 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2022-09-10_final.stac-item
2023-02-20 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-02-20_final.stac-item
2023-05-01 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-05-01_final.stac-item
2023-05-24 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-05-24_final.stac-item
2023-05-25 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2023-05-25_final.stac-item
2023-06-01 11:26:22	ga_s2bm_ard_3-2-1_51JUF_2023-06-01_final.stac-item
2023-07-10 11:53:30	ga_s2bm_ard_3-2-1_50KNC_2023-07-10_final.stac-item
2023-07-17 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-07-17_final.stac-item
2023-07-17 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-07-17_final.stac-item
2023-07-24 11:33:19	ga_s2bm_ard_3-2-1_51KWT_2023-07-24_final.stac-item
2023-09-01 12:05:13	ga_s2bm_ard_3-2-1_49JFM_2023-09-01_final.stac-item
2023-09-21 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2023-09-21_final.stac-item
2023-10-21 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2023-10-21_final.stac-item
2023-10-28 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2023-10-28_final.stac-item
2023-10-28 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-10-28_final.stac-item
2023-11-18 11:26:13	ga_s2bm_ard_3-2-1_51JVF_2023-11-18_final.stac-item
2024-01-07 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2024-01-07_final.stac-item
2024-01-20 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2024-01-20_final.stac-item
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2024-01-29_final.stac-item
2024-02-06 11:26:13	ga_s2bm_ard_3-2-1_51JVF_2024-02-06_final.stac-item
2024-02-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-02-18_final.stac-item
2024-03-16 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-03-16_final.stac-item
2024-03-23 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-03-23_final.stac-item
2024-04-11 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2024-04-11_final.stac-item
2024-04-12 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2024-04-12_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

All years