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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KXS_2017-07-12_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KYV_2017-12-29_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_54LZH_2018-01-27_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JUF_2018-01-31_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JML_2018-03-25_final.stac-item
2018-03-30 10:47:20	ga_s2bm_ard_3-2-1_52JGM_2018-03-30_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JML_2018-09-01_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXS_2018-10-28_final.stac-item
2018-12-07 09:58:08	ga_s2bm_ard_3-2-1_55GCQ_2018-12-07_final.stac-item
2018-12-27 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2018-12-27_final.stac-item
2019-02-18 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-02-18_final.stac-item
2019-02-26 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2019-02-26_final.stac-item
2019-03-09 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2019-03-09_final.stac-item
2019-04-25 10:23:24	ga_s2bm_ard_3-2-1_54KXV_2019-04-25_final.stac-item
2019-05-10 11:15:59	ga_s2bm_ard_3-2-1_52JBM_2019-05-10_final.stac-item
2019-07-07 10:36:19	ga_s2bm_ard_3-2-1_53HME_2019-07-07_final.stac-item
2019-08-04 11:32:53	ga_s2bm_ard_3-2-1_51KXV_2019-08-04_final.stac-item
2019-08-19 10:45:20	ga_s2bm_ard_3-2-1_53JKJ_2019-08-19_final.stac-item
2019-09-25 10:34:00	ga_s2bm_ard_3-2-1_54JTT_2019-09-25_final.stac-item
2019-10-03 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2019-10-03_final.stac-item
2019-11-19 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2019-11-19_final.stac-item
2019-12-22 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2019-12-22_final.stac-item
2020-02-19 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2020-02-19_final.stac-item
2020-03-04 10:05:56	ga_s2bm_ard_3-2-1_54HWK_2020-03-04_final.stac-item
2020-03-23 10:33:51	ga_s2bm_ard_3-2-1_53KPP_2020-03-23_final.stac-item
2020-04-08 10:54:18	ga_s2bm_ard_3-2-1_52JFT_2020-04-08_final.stac-item
2020-05-30 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2020-05-30_final.stac-item
2020-06-06 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2020-06-06_final.stac-item
2020-07-13 11:13:15	ga_s2bm_ard_3-2-1_52KBC_2020-07-13_final.stac-item
2020-07-22 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2020-07-22_final.stac-item
2020-07-26 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2020-07-26_final.stac-item
2020-07-29 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2020-07-29_final.stac-item
2020-08-10 10:34:07	ga_s2bm_ard_3-2-1_53JQN_2020-08-10_final.stac-item
2020-09-07 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2020-09-07_final.stac-item
2020-10-30 10:06:49	ga_s2bm_ard_3-2-1_54HVG_2020-10-30_final.stac-item
2020-11-07 11:00:32	ga_s2bm_ard_3-2-1_52LHN_2020-11-07_final.stac-item
2020-11-23 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2020-11-23_final.stac-item
2020-12-17 11:06:02	ga_s2bm_ard_3-2-1_52JCL_2020-12-17_final.stac-item
2020-12-25 10:24:16	ga_s2bm_ard_3-2-1_54JTS_2020-12-25_final.stac-item
2021-01-03 10:51:30	ga_s2bm_ard_3-2-1_53LPC_2021-01-03_final
2021-01-19 11:11:37	ga_s2bm_ard_3-2-1_52LDJ_2021-01-19_final.stac-item
2021-02-13 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-02-13_final.stac-item
2021-02-24 09:56:44	ga_s2bm_ard_3-2-1_54HXG_2021-02-24_final.stac-item
2021-04-09 09:38:31	ga_s2bm_ard_3-2-1_55GDP_2021-04-09_final.stac-item
2021-05-11 10:16:58	ga_s2bm_ard_3-2-1_54HUF_2021-05-11_final.stac-item
2021-05-19 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2021-05-19_final.stac-item
2021-05-31 10:16:05	ga_s2bm_ard_3-2-1_54HVK_2021-05-31_final.stac-item
2021-06-23 10:20:25	ga_s2bm_ard_3-2-1_54LYM_2021-06-23_final.stac-item
2021-08-13 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2021-08-13_final.stac-item
2021-08-25 10:33:44	ga_s2bm_ard_3-2-1_53KRP_2021-08-25_final.stac-item
2021-08-25 10:34:35	ga_s2bm_ard_3-2-1_53JPL_2021-08-25_final.stac-item
2021-08-25 10:36:27	ga_s2bm_ard_3-2-1_53HLD_2021-08-25_final.stac-item
2021-09-21 10:20:18	ga_s2bm_ard_3-2-1_54LZM_2021-09-21_final.stac-item
2021-12-24 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2021-12-24_final.stac-item
2021-12-25 11:13:21	ga_s2bm_ard_3-2-1_52KBB_2021-12-25_final.stac-item
2021-12-26 10:41:49	ga_s2bm_ard_3-2-1_54KTF_2021-12-26_final.stac-item
2021-12-31 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2021-12-31_final.stac-item
2022-01-14 11:11:59	ga_s2bm_ard_3-2-1_52KEG_2022-01-14_final.stac-item
2022-02-14 10:45:37	ga_s2bm_ard_3-2-1_53JKG_2022-02-14_final.stac-item
2022-03-03 10:36:55	ga_s2bm_ard_3-2-1_53HPA_2022-03-03_final.stac-item
2022-04-22 10:34:30	ga_s2bm_ard_3-2-1_54JTR_2022-04-22_final.stac-item
2022-05-27 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2022-05-27_final.stac-item
2022-06-11 10:34:16	ga_s2bm_ard_3-2-1_53JRM_2022-06-11_final.stac-item
2022-06-22 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2022-06-22_final.stac-item
2022-07-09 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2022-07-09_final.stac-item
2022-08-28 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2022-08-28_final.stac-item
2022-08-31 11:43:48	ga_s2bm_ard_3-2-1_51KTR_2022-08-31_final.stac-item
2022-09-09 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2022-09-09_final.stac-item
2022-10-03 10:17:02	ga_s2bm_ard_3-2-1_54HTF_2022-10-03_final.stac-item
2022-10-19 10:33:45	ga_s2bm_ard_3-2-1_53KRP_2022-10-19_final.stac-item
2022-11-06 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2022-11-06_final.stac-item
2022-12-08 10:33:49	ga_s2bm_ard_3-2-1_53KRP_2022-12-08_final.stac-item
2022-12-14 10:52:29	ga_s2bm_ard_3-2-1_52KHE_2022-12-14_final.stac-item
2022-12-15 10:19:42	ga_s2bm_ard_3-2-1_54LXQ_2022-12-15_final.stac-item
2022-12-26 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-12-26_final.stac-item
2023-01-03 10:51:35	ga_s2bm_ard_3-2-1_53LNC_2023-01-03_final.stac-item
2023-01-27 10:34:59	ga_s2bm_ard_3-2-1_53JQJ_2023-01-27_final.stac-item
2023-02-23 10:19:44	ga_s2bm_ard_3-2-1_54LXQ_2023-02-23_final
2023-03-09 10:06:50	ga_s2bm_ard_3-2-1_54HVG_2023-03-09_final
2023-04-03 10:54:25	ga_s2bm_ard_3-2-1_52JFT_2023-04-03_final
2023-04-13 10:54:12	ga_s2bm_ard_3-2-1_52JGT_2023-04-13_final
2023-04-13 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2023-04-13_final
2023-06-14 09:57:50	ga_s2bm_ard_3-2-1_54HWC_2023-06-14_final
2023-07-04 11:35:56	ga_s2bm_ard_3-2-1_50JQN_2023-07-04_final
2023-07-13 10:26:51	ga_s2bm_ard_3-2-1_53HQB_2023-07-13_final
2023-07-16 10:34:05	ga_s2bm_ard_3-2-1_54JTT_2023-07-16_final
2023-08-04 11:01:43	ga_s2bm_ard_3-2-1_53LLC_2023-08-04_final
2023-08-05 10:33:50	ga_s2bm_ard_3-2-1_54KTU_2023-08-05_final
2023-08-06 10:07:27	ga_s2bm_ard_3-2-1_54HXD_2023-08-06_final
2023-08-17 11:15:38	ga_s2bm_ard_3-2-1_52JCN_2023-08-17_final
2023-08-23 11:34:51	ga_s2bm_ard_3-2-1_51JUM_2023-08-23_final
2023-09-04 10:33:54	ga_s2bm_ard_3-2-1_53KQP_2023-09-04_final
2023-10-26 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2023-10-26_nrt
2024-01-12 10:32:13	ga_s2bm_ard_3-2-1_54KUE_2024-01-12_final
2024-02-21 10:32:19	ga_s2bm_ard_3-2-1_54KTE_2024-02-21_final
2024-02-22 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-02-22_final
2024-02-28 10:20:48	ga_s2bm_ard_3-2-1_54LZK_2024-02-28_final
2024-03-13 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2024-03-13_final
2024-03-20 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2024-03-20_final
2024-03-24 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2024-03-24_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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