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
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JQG_2018-02-02_final
2018-02-10 09:51:50	ga_s2bm_ard_3-2-1_54HYE_2018-02-10_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50JQP_2018-03-02_final
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_54LWH_2018-04-13_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51LWC_2018-09-11_final
2018-10-14 10:13:41	ga_s2bm_ard_3-2-1_54HUJ_2018-10-14_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KVS_2018-10-21_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_53JKL_2018-11-05_final
2018-11-09 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2018-11-09_final
2018-11-12 10:46:07	ga_s2bm_ard_3-2-1_53HLE_2018-11-12_final
2018-12-18 11:00:43	ga_s2bm_ard_3-2-1_52LGM_2018-12-18_final
2018-12-24 09:48:10	ga_s2bm_ard_3-2-1_54GYA_2018-12-24_final
2018-12-30 10:02:39	ga_s2bm_ard_3-2-1_54KZC_2018-12-30_final
2019-01-16 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2019-01-16_final
2019-02-01 10:14:22	ga_s2bm_ard_3-2-1_54JYR_2019-02-01_final
2019-07-25 11:33:06	ga_s2bm_ard_3-2-1_51KWU_2019-07-25_final
2019-09-23 09:57:50	ga_s2bm_ard_3-2-1_54HYB_2019-09-23_final
2019-11-01 10:19:45	ga_s2bm_ard_3-2-1_54LXQ_2019-11-01_final
2019-11-14 10:30:25	ga_s2bm_ard_3-2-1_54LWM_2019-11-14_final
2020-01-04 10:06:29	ga_s2bm_ard_3-2-1_54HVH_2020-01-04_final
2020-01-26 10:42:32	ga_s2bm_ard_3-2-1_53KNU_2020-01-26_final
2020-02-24 11:15:50	ga_s2bm_ard_3-2-1_51JYG_2020-02-24_final
2020-02-29 10:19:38	ga_s2bm_ard_3-2-1_54LYQ_2020-02-29_final
2020-04-06 10:10:37	ga_s2bm_ard_3-2-1_54LZL_2020-04-06_final
2020-04-06 10:17:08	ga_s2bm_ard_3-2-1_54HVE_2020-04-06_final
2020-04-14 11:13:50	ga_s2bm_ard_3-2-1_51KZQ_2020-04-14_final
2020-05-20 09:58:14	ga_s2bm_ard_3-2-1_55GCQ_2020-05-20_final
2020-05-21 11:03:17	ga_s2bm_ard_3-2-1_52KFB_2020-05-21_final
2020-05-27 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2020-05-27_final
2020-06-11 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-11_final
2020-07-03 11:13:28	ga_s2bm_ard_3-2-1_52KBB_2020-07-03_final
2020-07-12 10:07:05	ga_s2bm_ard_3-2-1_54HYE_2020-07-12_final
2020-08-07 10:19:47	ga_s2bm_ard_3-2-1_54LXQ_2020-08-07_final
2020-10-26 10:26:57	ga_s2bm_ard_3-2-1_53HNB_2020-10-26_final
2020-11-23 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2020-11-23_final
2021-01-16 11:00:30	ga_s2bm_ard_3-2-1_52LHN_2021-01-16_final
2021-02-01 11:21:46	ga_s2bm_ard_3-2-1_52LDH_2021-02-01_final
2021-02-12 10:52:28	ga_s2bm_ard_3-2-1_53KKV_2021-02-12_final
2021-02-22 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2021-02-22_final
2021-03-12 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-03-12_final
2021-03-13 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2021-03-13_final
2021-03-13 11:26:13	ga_s2bm_ard_3-2-1_51JUF_2021-03-13_final
2021-05-04 10:19:41	ga_s2bm_ard_3-2-1_54LXQ_2021-05-04_final
2021-05-28 11:46:26	ga_s2bm_ard_3-2-1_50JML_2021-05-28_final
2021-06-01 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-06-01_final
2021-06-10 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-06-10_final
2021-07-23 10:24:36	ga_s2bm_ard_3-2-1_54JTR_2021-07-23_final
2021-07-31 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2021-07-31_final
2021-10-10 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2021-10-10_final
2021-10-11 10:24:02	ga_s2bm_ard_3-2-1_54JUT_2021-10-11_final
2021-10-31 10:19:45	ga_s2bm_ard_3-2-1_54LXQ_2021-10-31_final
2021-11-18 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2021-11-18_final
2021-12-10 10:19:54	ga_s2bm_ard_3-2-1_54LXP_2021-12-10_final
2022-01-25 10:41:50	ga_s2bm_ard_3-2-1_53KNB_2022-01-25_final
2022-01-28 10:54:27	ga_s2bm_ard_3-2-1_52JFS_2022-01-28_final
2022-01-28 10:55:48	ga_s2bm_ard_3-2-1_52JFL_2022-01-28_final
2022-02-01 10:35:03	ga_s2bm_ard_3-2-1_53JNJ_2022-02-01_final
2022-02-16 09:47:59	ga_s2bm_ard_3-2-1_55GCR_2022-02-16_final
2022-02-26 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2022-02-26_final
2022-02-28 10:21:29	ga_s2bm_ard_3-2-1_54LVH_2022-02-28_final
2022-03-05 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2022-03-05_final
2022-03-10 10:20:26	ga_s2bm_ard_3-2-1_54LXM_2022-03-10_final
2022-04-03 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-04-03_final
2022-04-25 10:42:26	ga_s2bm_ard_3-2-1_53KQU_2022-04-25_final
2022-04-25 10:45:49	ga_s2bm_ard_3-2-1_53JLF_2022-04-25_final
2022-05-18 10:53:46	ga_s2bm_ard_3-2-1_52KGV_2022-05-18_final
2022-06-26 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2022-06-26_final
2022-06-29 11:33:18	ga_s2bm_ard_3-2-1_51KWT_2022-06-29_final
2022-08-02 11:13:18	ga_s2bm_ard_3-2-1_52KBC_2022-08-02_final
2022-08-11 10:06:53	ga_s2bm_ard_3-2-1_54HYF_2022-08-11_final
2022-09-17 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2022-09-17_final.stac-item
2022-09-19 10:36:30	ga_s2bm_ard_3-2-1_53HLD_2022-09-19_final.stac-item
2022-10-26 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2022-10-26_final.stac-item
2022-11-21 10:43:55	ga_s2bm_ard_3-2-1_53KMP_2022-11-21_final.stac-item
2022-11-23 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2022-11-23_final.stac-item
2022-12-17 11:02:02	ga_s2bm_ard_3-2-1_52KFG_2022-12-17_final.stac-item
2022-12-20 11:12:13	ga_s2bm_ard_3-2-1_52KFF_2022-12-20_final.stac-item
2022-12-24 10:53:24	ga_s2bm_ard_3-2-1_53KLR_2022-12-24_final.stac-item
2023-01-09 11:12:50	ga_s2bm_ard_3-2-1_52KCD_2023-01-09_final.stac-item
2023-01-11 10:11:38	ga_s2bm_ard_3-2-1_54KYG_2023-01-11_final.stac-item
2023-03-12 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-03-12_final.stac-item
2023-03-15 10:21:04	ga_s2bm_ard_3-2-1_54LWK_2023-03-15_final.stac-item
2023-04-24 10:19:58	ga_s2bm_ard_3-2-1_54LYP_2023-04-24_final.stac-item
2023-05-02 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2023-05-02_final.stac-item
2023-05-24 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2023-05-24_final.stac-item
2023-09-21 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2023-09-21_final.stac-item
2023-10-04 10:31:32	ga_s2bm_ard_3-2-1_54LUH_2023-10-04_final.stac-item
2023-10-24 12:14:22	ga_s2bm_ard_3-2-1_49KFQ_2023-10-24_nrt.stac-item
2023-11-10 10:19:57	ga_s2bm_ard_3-2-1_54LYP_2023-11-10_final.stac-item
2023-11-10 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2023-11-10_final.stac-item
2023-11-15 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2023-11-15_final.stac-item
2023-11-16 10:44:25	ga_s2bm_ard_3-2-1_53JMM_2023-11-16_final.stac-item
2023-11-23 10:30:51	ga_s2bm_ard_3-2-1_54LWK_2023-11-23_final.stac-item
2023-11-29 10:53:50	ga_s2bm_ard_3-2-1_53KLP_2023-11-29_final.stac-item
2023-12-07 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2023-12-07_final.stac-item
2023-12-27 10:16:29	ga_s2bm_ard_3-2-1_54HVH_2023-12-27_final.stac-item
2024-01-17 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2024-01-17_final.stac-item
2024-01-18 10:52:04	ga_s2bm_ard_3-2-1_53KNA_2024-01-18_final.stac-item
2024-02-07 10:52:26	ga_s2bm_ard_3-2-1_52KHE_2024-02-07_final.stac-item
2024-03-11 11:00:58	ga_s2bm_ard_3-2-1_52LGL_2024-03-11_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