Search ga_s2bm_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JMN_2017-07-31_final.stac-item
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HUD_2017-08-21_final.stac-item
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HXD_2017-09-10_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2017-09-12_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JHM_2017-09-22_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KVS_2017-11-22_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKP_2018-01-10_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KNC_2018-01-17_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KUP_2018-02-10_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HMJ_2018-02-13_final.stac-item
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KRC_2018-02-16_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWT_2018-02-20_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPK_2018-03-22_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPS_2018-03-25_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGK_2018-03-31_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKQ_2018-03-31_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50JQP_2018-04-01_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51HVE_2018-04-01_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNQ_2018-04-04_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNR_2018-04-04_final.stac-item
2018-04-07 11:46:20	ga_s2bm_ard_3-2-1_50KRC_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JPS_2018-04-07_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JQP_2018-04-11_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JNN_2018-04-14_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPJ_2018-04-14_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKN_2018-04-20_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPJ_2018-04-21_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JQP_2018-04-21_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51HUE_2018-04-21_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JUF_2018-04-21_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KTU_2018-04-24_final.stac-item
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HYE_2018-04-25_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KKB_2018-05-10_final.stac-item
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KVT_2018-06-30_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KRD_2018-07-06_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JKM_2018-08-25_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JVK_2018-08-29_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JVM_2018-08-29_final.stac-item
2018-11-27 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2018-11-27_final.stac-item
2018-12-26 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2018-12-26_final.stac-item
2019-01-22 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-01-22_final.stac-item
2019-02-01 11:52:59	ga_s2bm_ard_3-2-1_50KRD_2019-02-01_final.stac-item
2019-03-14 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2019-03-14_final.stac-item
2019-03-23 11:53:36	ga_s2bm_ard_3-2-1_50KPB_2019-03-23_final.stac-item
2019-03-27 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2019-03-27_final.stac-item
2019-04-20 11:14:44	ga_s2bm_ard_3-2-1_51JZM_2019-04-20_final.stac-item
2019-04-29 11:43:11	ga_s2bm_ard_3-2-1_51KTU_2019-04-29_final.stac-item
2019-04-29 11:43:11	ga_s2bm_ard_3-2-1_50KRD_2019-04-29_final.stac-item
2019-05-22 11:54:54	ga_s2bm_ard_3-2-1_50JLT_2019-05-22_final.stac-item
2019-05-22 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-22_final.stac-item
2019-06-21 11:53:07	ga_s2bm_ard_3-2-1_50KRD_2019-06-21_final.stac-item
2019-07-12 11:27:07	ga_s2bm_ard_3-2-1_51HVC_2019-07-12_final.stac-item
2019-08-01 11:27:15	ga_s2bm_ard_3-2-1_51HTC_2019-08-01_final.stac-item
2019-09-06 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2019-09-06_final.stac-item
2020-04-30 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2020-04-30_final.stac-item
2020-05-30 11:34:17	ga_s2bm_ard_3-2-1_51JXN_2020-05-30_final.stac-item
2020-06-13 11:14:40	ga_s2bm_ard_3-2-1_51JZM_2020-06-13_final.stac-item
2020-08-21 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-08-21_final.stac-item
2020-09-20 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2020-09-20_final
2020-10-10 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-10_final.stac-item
2020-10-11 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2020-10-11_final.stac-item
2020-11-02 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2020-11-02_final.stac-item
2021-01-05 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2021-01-05_final.stac-item
2021-02-04 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2021-02-04_final
2021-02-16 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2021-02-16_final
2021-02-27 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2021-02-27_final.stac-item
2021-04-14 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2021-04-14_final.stac-item
2021-05-31 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-05-31_final.stac-item
2021-06-18 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2021-06-18_final.stac-item
2021-06-27 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2021-06-27_final
2021-07-04 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2021-07-04_final.stac-item
2021-07-07 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2021-07-07_final.stac-item
2021-08-13 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-08-13_final
2021-08-23 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2021-08-23_final.stac-item
2021-08-29 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2021-08-29_final.stac-item
2021-09-01 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2021-09-01_final.stac-item
2021-10-05 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2021-10-05_final.stac-item
2021-11-10 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-11-10_final
2021-12-21 11:36:41	ga_s2bm_ard_3-2-1_51HTD_2021-12-21_final.stac-item
2021-12-27 11:52:54	ga_s2bm_ard_3-2-1_50KRD_2021-12-27_final.stac-item
2022-02-05 11:53:37	ga_s2bm_ard_3-2-1_50KMB_2022-02-05_final.stac-item
2022-03-27 11:55:32	ga_s2bm_ard_3-2-1_50JNP_2022-03-27_final.stac-item
2022-05-13 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2022-05-13_final.stac-item
2022-07-25 11:53:04	ga_s2bm_ard_3-2-1_50KRD_2022-07-25_final.stac-item
2022-08-01 11:45:55	ga_s2bm_ard_3-2-1_50JPN_2022-08-01_final.stac-item
2022-10-04 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2022-10-04_final.stac-item
2022-12-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-12-26_final.stac-item
2023-01-14 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2023-01-14_final
2023-04-08 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2023-04-08_final
2023-04-25 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2023-04-25_final
2023-04-28 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2023-04-28_final
2023-06-17 11:42:26	ga_s2bm_ard_3-2-1_51KWA_2023-06-17_final
2023-08-16 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2023-08-16_final
2023-12-14 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2023-12-14_final
2023-12-24 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2023-12-24_final
2024-01-06 11:52:58	ga_s2bm_ard_3-2-1_50KRD_2024-01-06_final
2024-01-26 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2024-01-26_final
2024-02-23 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2024-02-23_final
2024-03-23 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2024-03-23_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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