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
2017-10-12 10:26:23	ga_s2bm_ard_3-2-1_54HTF_2017-10-12_final.stac-item
2017-10-26 10:05:38	ga_s2bm_ard_3-2-1_54HXK_2017-10-26_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_53JPF_2017-11-11_final.stac-item
2017-12-06 09:32:49	ga_s2bm_ard_3-2-1_55GER_2017-12-06_final.stac-item
2017-12-17 10:37:15	ga_s2bm_ard_3-2-1_53LQC_2017-12-17_final
2018-01-25 09:38:16	ga_s2bm_ard_3-2-1_55GFP_2018-01-25_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KDU_2018-02-01_final.stac-item
2018-03-04 10:35:27	ga_s2bm_ard_3-2-1_53HPC_2018-03-04_final.stac-item
2018-03-19 09:41:02	ga_s2bm_ard_3-2-1_55HEB_2018-03-19_final.stac-item
2018-03-23 10:57:10	ga_s2bm_ard_3-2-1_52KEA_2018-03-23_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53HLD_2018-07-15_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51HUC_2018-09-28_final.stac-item
2018-11-16 12:03:35	ga_s2bm_ard_3-2-1_50KMB_2018-11-16_final.stac-item
2018-12-17 11:36:21	ga_s2bm_ard_3-2-1_50JPL_2018-12-17_final.stac-item
2018-12-26 10:20:57	ga_s2bm_ard_3-2-1_54LZJ_2018-12-26_final.stac-item
2018-12-31 11:11:23	ga_s2bm_ard_3-2-1_52LFJ_2018-12-31_final.stac-item
2019-01-07 11:02:43	ga_s2bm_ard_3-2-1_52KGD_2019-01-07_final.stac-item
2019-03-24 11:26:08	ga_s2bm_ard_3-2-1_51JXF_2019-03-24_final.stac-item
2019-04-30 11:12:57	ga_s2bm_ard_3-2-1_52KDD_2019-04-30_final.stac-item
2019-06-02 09:47:44	ga_s2bm_ard_3-2-1_55HCT_2019-06-02_final.stac-item
2019-06-17 10:34:37	ga_s2bm_ard_3-2-1_54JTR_2019-06-17_final.stac-item
2019-06-17 10:36:36	ga_s2bm_ard_3-2-1_53HLD_2019-06-17_final.stac-item
2019-07-04 10:20:44	ga_s2bm_ard_3-2-1_54LZL_2019-07-04_final.stac-item
2019-08-21 11:22:57	ga_s2bm_ard_3-2-1_52KBD_2019-08-21_final.stac-item
2019-08-25 11:05:58	ga_s2bm_ard_3-2-1_52JEM_2019-08-25_final.stac-item
2019-10-06 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2019-10-06_final.stac-item
2019-10-20 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2019-10-20_final.stac-item
2019-10-28 10:41:44	ga_s2bm_ard_3-2-1_54KTG_2019-10-28_final.stac-item
2019-11-22 11:32:48	ga_s2bm_ard_3-2-1_51KYU_2019-11-22_final.stac-item
2020-01-01 09:55:56	ga_s2bm_ard_3-2-1_55HDD_2020-01-01_final.stac-item
2020-02-17 09:48:01	ga_s2bm_ard_3-2-1_55GCR_2020-02-17_final.stac-item
2020-02-22 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-02-22_final.stac-item
2020-04-24 11:13:08	ga_s2bm_ard_3-2-1_52KBC_2020-04-24_final.stac-item
2020-04-27 11:25:12	ga_s2bm_ard_3-2-1_51JVK_2020-04-27_final.stac-item
2020-05-13 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2020-05-13_final.stac-item
2020-05-23 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2020-05-23_final.stac-item
2020-06-05 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2020-06-05_final.stac-item
2020-06-09 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-06-09_final.stac-item
2020-06-23 09:38:55	ga_s2bm_ard_3-2-1_55GCN_2020-06-23_final.stac-item
2020-07-13 11:13:02	ga_s2bm_ard_3-2-1_52KEC_2020-07-13_final.stac-item
2020-08-09 11:04:54	ga_s2bm_ard_3-2-1_52JDR_2020-08-09_final.stac-item
2020-09-11 11:15:27	ga_s2bm_ard_3-2-1_51JYJ_2020-09-11_final.stac-item
2020-10-24 09:46:31	ga_s2bm_ard_3-2-1_55HCC_2020-10-24_final.stac-item
2020-11-07 11:02:20	ga_s2bm_ard_3-2-1_52KFF_2020-11-07_final.stac-item
2020-11-22 10:11:01	ga_s2bm_ard_3-2-1_54LYK_2020-11-22_final.stac-item
2021-01-05 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2021-01-05_final.stac-item
2021-02-13 10:22:22	ga_s2bm_ard_3-2-1_54KXD_2021-02-13_final.stac-item
2021-03-11 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2021-03-11_final.stac-item
2021-03-21 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2021-03-21_final.stac-item
2021-04-11 10:16:28	ga_s2bm_ard_3-2-1_54HUH_2021-04-11_final.stac-item
2021-04-29 09:38:22	ga_s2bm_ard_3-2-1_55GFP_2021-04-29_final.stac-item
2021-05-04 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2021-05-04_final.stac-item
2021-05-15 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2021-05-15_final.stac-item
2021-06-02 10:50:50	ga_s2bm_ard_3-2-1_53LPF_2021-06-02_final.stac-item
2021-08-05 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2021-08-05_final.stac-item
2021-08-11 10:54:38	ga_s2bm_ard_3-2-1_53JLL_2021-08-11_final.stac-item
2021-08-26 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2021-08-26_final.stac-item
2021-08-28 10:44:04	ga_s2bm_ard_3-2-1_53JNN_2021-08-28_final.stac-item
2021-09-29 09:48:04	ga_s2bm_ard_3-2-1_55GCR_2021-09-29_final.stac-item
2021-10-09 09:48:09	ga_s2bm_ard_3-2-1_54GYA_2021-10-09_final.stac-item
2021-10-10 10:54:24	ga_s2bm_ard_3-2-1_53JLM_2021-10-10_final.stac-item
2021-10-13 11:05:39	ga_s2bm_ard_3-2-1_52JFM_2021-10-13_final.stac-item
2021-10-14 10:33:36	ga_s2bm_ard_3-2-1_53KQQ_2021-10-14_final.stac-item
2021-11-18 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2021-11-18_final.stac-item
2021-12-11 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2021-12-11_final.stac-item
2022-01-14 09:38:22	ga_s2bm_ard_3-2-1_55GFP_2022-01-14_final.stac-item
2022-01-23 10:04:52	ga_s2bm_ard_3-2-1_54JXP_2022-01-23_final.stac-item
2022-02-06 11:21:59	ga_s2bm_ard_3-2-1_52KCG_2022-02-06_final.stac-item
2022-05-06 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2022-05-06_final.stac-item
2022-05-07 11:24:00	ga_s2bm_ard_3-2-1_51KZP_2022-05-07_final.stac-item
2022-05-09 10:19:41	ga_s2bm_ard_3-2-1_54LXQ_2022-05-09_final.stac-item
2022-05-13 10:06:12	ga_s2bm_ard_3-2-1_54HWJ_2022-05-13_final.stac-item
2022-06-30 11:01:55	ga_s2bm_ard_3-2-1_52LFH_2022-06-30_final.stac-item
2022-07-28 10:26:23	ga_s2bm_ard_3-2-1_53HQD_2022-07-28_final.stac-item
2022-08-10 10:34:22	ga_s2bm_ard_3-2-1_53JQM_2022-08-10_final.stac-item
2022-10-29 10:29:53	ga_s2bm_ard_3-2-1_54LXP_2022-10-29_final.stac-item
2023-01-17 10:31:47	ga_s2bm_ard_3-2-1_53KRB_2023-01-17_final.stac-item
2023-02-28 11:10:38	ga_s2bm_ard_3-2-1_52LHM_2023-02-28_final
2023-04-05 09:57:35	ga_s2bm_ard_3-2-1_55HCT_2023-04-05_final
2023-04-18 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2023-04-18_final
2023-08-07 09:38:10	ga_s2bm_ard_3-2-1_55GDR_2023-08-07_final
2023-10-22 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-10-22_final
2023-11-11 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2023-11-11_final
2023-11-13 10:31:35	ga_s2bm_ard_3-2-1_54LTH_2023-11-13_nrt
2023-11-20 10:23:47	ga_s2bm_ard_3-2-1_54KTU_2023-11-20_final
2023-12-21 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2023-12-21_final
2023-12-24 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2023-12-24_final
2024-01-23 11:42:20	ga_s2bm_ard_3-2-1_51KWA_2024-01-23_final
2024-02-06 11:24:03	ga_s2bm_ard_3-2-1_52KBU_2024-02-06_final
2024-02-07 10:52:33	ga_s2bm_ard_3-2-1_53KNU_2024-02-07_final
2024-02-17 10:52:21	ga_s2bm_ard_3-2-1_52KHF_2024-02-17_final
2024-02-22 10:05:13	ga_s2bm_ard_3-2-1_54JXN_2024-02-22_final
2024-03-04 11:14:05	ga_s2bm_ard_3-2-1_51KZP_2024-03-04_final
2024-03-13 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2024-03-13_final
2024-03-23 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-03-23_final
2024-03-25 10:43:55	ga_s2bm_ard_3-2-1_53KMP_2024-03-25_final
2024-03-27 09:47:58	ga_s2bm_ard_3-2-1_55GER_2024-03-27_final
2024-04-12 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2024-04-12_final
2024-04-18 10:21:56	ga_s2bm_ard_3-2-1_54KXF_2024-04-18_final
2024-04-26 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-04-26_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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