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
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWM_2017-12-29_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50HLH_2018-01-17_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_54GYA_2018-01-28_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYR_2018-01-28_final.stac-item
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JXF_2018-01-28_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KVR_2018-03-02_final.stac-item
2018-03-05 09:56:58	ga_s2bm_ard_3-2-1_54KZV_2018-03-05_final.stac-item
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JGQ_2018-03-10_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HMH_2018-04-27_final.stac-item
2018-05-18 11:16:57	ga_s2bm_ard_3-2-1_52KCD_2018-05-18_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KVU_2018-06-10_final.stac-item
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52KCC_2018-07-04_final.stac-item
2018-08-03 11:07:09	ga_s2bm_ard_3-2-1_52LFL_2018-08-03_final.stac-item
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52KEV_2018-08-30_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HPK_2018-09-21_final.stac-item
2018-09-30 10:31:00	ga_s2bm_ard_3-2-1_54KVF_2018-09-30_final.stac-item
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53JNL_2018-10-03_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HUC_2018-10-05_final.stac-item
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53JQM_2018-10-10_final.stac-item
2018-10-20 10:31:25	ga_s2bm_ard_3-2-1_53KQU_2018-10-20_final.stac-item
2018-11-02 10:37:25	ga_s2bm_ard_3-2-1_54KTF_2018-11-02_final.stac-item
2018-11-09 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2018-11-09_final.stac-item
2018-11-11 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2018-11-11_final.stac-item
2018-11-16 12:03:49	ga_s2bm_ard_3-2-1_50KMA_2018-11-16_final.stac-item
2019-01-06 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2019-01-06_final.stac-item
2019-01-28 10:31:31	ga_s2bm_ard_3-2-1_54LUH_2019-01-28_final.stac-item
2019-03-09 10:33:35	ga_s2bm_ard_3-2-1_53KPQ_2019-03-09_final.stac-item
2019-04-15 12:05:26	ga_s2bm_ard_3-2-1_49JGL_2019-04-15_final.stac-item
2019-04-21 10:46:30	ga_s2bm_ard_3-2-1_53HLD_2019-04-21_final.stac-item
2019-05-04 10:51:36	ga_s2bm_ard_3-2-1_53LLD_2019-05-04_final.stac-item
2019-05-11 10:46:29	ga_s2bm_ard_3-2-1_53HMD_2019-05-11_final.stac-item
2019-06-05 09:57:45	ga_s2bm_ard_3-2-1_54HYC_2019-06-05_final.stac-item
2019-06-29 11:13:45	ga_s2bm_ard_3-2-1_52KCA_2019-06-29_final.stac-item
2019-07-01 10:16:29	ga_s2bm_ard_3-2-1_54HTJ_2019-07-01_final.stac-item
2019-07-29 11:16:14	ga_s2bm_ard_3-2-1_52JBL_2019-07-29_final.stac-item
2019-07-31 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2019-07-31_final.stac-item
2019-08-11 09:48:15	ga_s2bm_ard_3-2-1_55GBR_2019-08-11_final.stac-item
2019-08-23 10:26:46	ga_s2bm_ard_3-2-1_53HNC_2019-08-23_final.stac-item
2019-10-28 10:42:57	ga_s2bm_ard_3-2-1_53KMT_2019-10-28_final.stac-item
2019-11-18 10:16:55	ga_s2bm_ard_3-2-1_54HVF_2019-11-18_final.stac-item
2019-11-30 10:54:18	ga_s2bm_ard_3-2-1_53JLM_2019-11-30_final.stac-item
2019-12-12 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2019-12-12_final.stac-item
2020-01-27 10:13:26	ga_s2bm_ard_3-2-1_54KZU_2020-01-27_final.stac-item
2020-01-30 10:20:42	ga_s2bm_ard_3-2-1_54LZK_2020-01-30_final.stac-item
2020-02-04 11:12:07	ga_s2bm_ard_3-2-1_52KFF_2020-02-04_final.stac-item
2020-03-02 11:01:29	ga_s2bm_ard_3-2-1_52LGJ_2020-03-02_final.stac-item
2020-04-30 11:36:53	ga_s2bm_ard_3-2-1_51HUC_2020-04-30_final.stac-item
2020-05-07 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2020-05-07_final.stac-item
2020-05-27 11:21:54	ga_s2bm_ard_3-2-1_52LBH_2020-05-27_final.stac-item
2020-06-11 10:33:33	ga_s2bm_ard_3-2-1_54KTV_2020-06-11_final.stac-item
2020-06-18 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-06-18_final.stac-item
2020-08-18 09:57:15	ga_s2bm_ard_3-2-1_54HXE_2020-08-18_final.stac-item
2020-09-21 11:10:39	ga_s2bm_ard_3-2-1_52LHM_2020-09-21_final.stac-item
2020-10-05 10:54:29	ga_s2bm_ard_3-2-1_52JHS_2020-10-05_final.stac-item
2020-10-16 10:26:16	ga_s2bm_ard_3-2-1_54HUJ_2020-10-16_final.stac-item
2020-10-23 10:12:43	ga_s2bm_ard_3-2-1_54KYC_2020-10-23_final.stac-item
2020-10-26 10:22:02	ga_s2bm_ard_3-2-1_54KWF_2020-10-26_final.stac-item
2020-11-11 10:44:14	ga_s2bm_ard_3-2-1_53JNM_2020-11-11_final.stac-item
2020-11-25 10:20:46	ga_s2bm_ard_3-2-1_54LWL_2020-11-25_final.stac-item
2021-01-27 10:30:26	ga_s2bm_ard_3-2-1_54LWM_2021-01-27_final.stac-item
2021-01-31 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-01-31_final.stac-item
2021-02-01 11:25:33	ga_s2bm_ard_3-2-1_51JYH_2021-02-01_final.stac-item
2021-02-12 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2021-02-12_final.stac-item
2021-02-13 10:21:13	ga_s2bm_ard_3-2-1_54LWJ_2021-02-13_final.stac-item
2021-02-22 10:51:49	ga_s2bm_ard_3-2-1_53KNB_2021-02-22_final.stac-item
2021-03-22 10:15:25	ga_s2bm_ard_3-2-1_54JWM_2021-03-22_final.stac-item
2021-04-02 09:48:07	ga_s2bm_ard_3-2-1_54GYA_2021-04-02_final.stac-item
2021-06-11 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2021-06-11_final.stac-item
2021-06-14 09:58:06	ga_s2bm_ard_3-2-1_55GBR_2021-06-14_final.stac-item
2021-07-03 10:21:27	ga_s2bm_ard_3-2-1_54LXH_2021-07-03_final.stac-item
2021-07-24 09:57:53	ga_s2bm_ard_3-2-1_54HYB_2021-07-24_final.stac-item
2021-09-28 10:16:48	ga_s2bm_ard_3-2-1_54HTG_2021-09-28_final.stac-item
2021-11-01 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2021-11-01_final.stac-item
2021-11-17 10:10:53	ga_s2bm_ard_3-2-1_54LZK_2021-11-17_final.stac-item
2021-12-09 10:52:10	ga_s2bm_ard_3-2-1_53KKA_2021-12-09_final.stac-item
2021-12-15 11:13:51	ga_s2bm_ard_3-2-1_52KEU_2021-12-15_final.stac-item
2022-01-27 11:24:26	ga_s2bm_ard_3-2-1_51JZM_2022-01-27_final.stac-item
2022-02-26 11:25:56	ga_s2bm_ard_3-2-1_51JVG_2022-02-26_final.stac-item
2022-03-02 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2022-03-02_final.stac-item
2022-03-21 09:58:03	ga_s2bm_ard_3-2-1_55GBR_2022-03-21_final.stac-item
2022-04-15 10:44:06	ga_s2bm_ard_3-2-1_53JMN_2022-04-15_final.stac-item
2022-06-15 11:54:44	ga_s2bm_ard_3-2-1_50JMT_2022-06-15_final.stac-item
2022-09-17 09:57:10	ga_s2bm_ard_3-2-1_54HYE_2022-09-17_final.stac-item
2022-10-02 10:40:46	ga_s2bm_ard_3-2-1_53LPF_2022-10-02_final.stac-item
2022-10-12 10:44:59	ga_s2bm_ard_3-2-1_53JKK_2022-10-12_final.stac-item
2022-10-23 10:15:36	ga_s2bm_ard_3-2-1_54JXL_2022-10-23_final.stac-item
2022-11-24 10:55:30	ga_s2bm_ard_3-2-1_52JFN_2022-11-24_final.stac-item
2022-11-27 11:00:47	ga_s2bm_ard_3-2-1_52LGM_2022-11-27_final.stac-item
2022-12-30 11:12:37	ga_s2bm_ard_3-2-1_52KCE_2022-12-30_final.stac-item
2023-02-09 10:41:29	ga_s2bm_ard_3-2-1_53LRC_2023-02-09_nrt.stac-item
2023-02-14 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2023-02-14_final
2023-04-02 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-04-02_final
2023-04-15 09:57:23	ga_s2bm_ard_3-2-1_54HYD_2023-04-15_final
2023-05-02 09:48:53	ga_s2bm_ard_3-2-1_55GDN_2023-05-02_final
2023-05-21 10:16:00	ga_s2bm_ard_3-2-1_54HWK_2023-05-21_final
2023-06-16 10:33:36	ga_s2bm_ard_3-2-1_54KTV_2023-06-16_final
2024-01-23 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2024-01-23_final
2024-01-31 09:28:47	ga_s2bm_ard_3-2-1_55GEN_2024-01-30_final
2024-02-16 11:21:17	ga_s2bm_ard_3-2-1_52LBL_2024-02-16_nrt
2024-03-23 10:04:40	ga_s2bm_ard_3-2-1_54JYQ_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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