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
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53HPC_2017-09-05_final.stac-item
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52KHC_2017-11-13_final.stac-item
2017-12-17 10:37:15	ga_s2bm_ard_3-2-1_53JPN_2017-12-17_final.stac-item
2017-12-28 10:11:20	ga_s2bm_ard_3-2-1_54JUL_2017-12-28_final.stac-item
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_53LKD_2018-01-22_final.stac-item
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KWR_2018-03-12_final.stac-item
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KXT_2018-03-19_final.stac-item
2018-03-27 10:37:22	ga_s2bm_ard_3-2-1_53JPM_2018-03-27_final.stac-item
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53JPL_2018-04-23_final.stac-item
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_53HME_2018-05-13_final.stac-item
2018-07-12 10:29:34	ga_s2bm_ard_3-2-1_53KPP_2018-07-12_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KXS_2018-07-17_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KXT_2018-08-16_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KUT_2018-08-29_final.stac-item
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53JPN_2018-09-20_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KUT_2018-09-21_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXU_2018-10-28_final.stac-item
2018-11-07 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2018-11-07_final.stac-item
2019-02-02 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-02-02_final.stac-item
2019-02-14 10:26:30	ga_s2bm_ard_3-2-1_54HTH_2019-02-14_final.stac-item
2019-03-30 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2019-03-30_final.stac-item
2019-04-19 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2019-04-19_final.stac-item
2019-05-03 11:23:43	ga_s2bm_ard_3-2-1_51KZR_2019-05-03_final.stac-item
2019-05-16 11:33:54	ga_s2bm_ard_3-2-1_51KVR_2019-05-16_final.stac-item
2019-06-30 10:46:14	ga_s2bm_ard_3-2-1_53HME_2019-06-30_final.stac-item
2019-08-09 10:44:24	ga_s2bm_ard_3-2-1_53JPM_2019-08-09_final.stac-item
2019-08-13 10:26:57	ga_s2bm_ard_3-2-1_53HPB_2019-08-13_final.stac-item
2019-08-21 11:23:12	ga_s2bm_ard_3-2-1_52KBC_2019-08-21_final.stac-item
2019-08-31 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2019-08-31_final.stac-item
2019-09-02 10:25:39	ga_s2bm_ard_3-2-1_54JVL_2019-09-02_final.stac-item
2019-09-03 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2019-09-03_final.stac-item
2019-09-03 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2019-09-03_final.stac-item
2019-09-20 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2019-09-20_final.stac-item
2019-10-16 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2019-10-16_final.stac-item
2019-11-12 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2019-11-12_final.stac-item
2019-11-12 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2019-11-12_final.stac-item
2020-02-15 10:43:58	ga_s2bm_ard_3-2-1_53JPN_2020-02-15_final.stac-item
2020-02-20 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2020-02-20_final.stac-item
2020-03-01 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2020-03-01_final.stac-item
2020-03-31 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2020-03-31_final.stac-item
2020-04-20 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2020-04-20_final.stac-item
2020-05-20 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2020-05-20_final.stac-item
2020-05-24 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2020-05-24_final.stac-item
2020-06-19 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-06-19_final.stac-item
2020-07-01 10:34:31	ga_s2bm_ard_3-2-1_54JTR_2020-07-01_final.stac-item
2020-09-11 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2020-09-11_final.stac-item
2020-10-09 10:34:25	ga_s2bm_ard_3-2-1_53JPM_2020-10-09_final.stac-item
2020-11-16 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2020-11-16_final.stac-item
2021-01-08 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-01-08_final.stac-item
2021-04-22 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2021-04-22_final.stac-item
2021-05-10 10:43:46	ga_s2bm_ard_3-2-1_53KPP_2021-05-10_final.stac-item
2021-06-26 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2021-06-26_final.stac-item
2021-07-06 10:36:41	ga_s2bm_ard_3-2-1_53HMC_2021-07-06_final
2021-07-16 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-07-16_final
2021-07-23 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2021-07-23_final.stac-item
2021-07-24 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2021-07-24_final.stac-item
2021-07-26 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2021-07-26_final.stac-item
2021-08-10 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2021-08-10_final.stac-item
2021-08-23 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-08-23_final.stac-item
2021-10-31 10:24:52	ga_s2bm_ard_3-2-1_53JQK_2021-10-31_final.stac-item
2022-01-03 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-01-03_final.stac-item
2022-01-10 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2022-01-10_final.stac-item
2022-01-12 10:34:03	ga_s2bm_ard_3-2-1_53JPN_2022-01-12_final.stac-item
2022-01-13 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-01-13_final.stac-item
2022-01-13 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-01-13_final.stac-item
2022-01-20 11:33:08	ga_s2bm_ard_3-2-1_51KWT_2022-01-20_final.stac-item
2022-02-16 11:23:36	ga_s2bm_ard_3-2-1_51KXR_2022-02-16_final.stac-item
2022-03-11 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2022-03-11_final.stac-item
2022-04-23 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-04-23_final.stac-item
2022-05-15 10:44:02	ga_s2bm_ard_3-2-1_53JPN_2022-05-15_final.stac-item
2022-05-27 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2022-05-27_final.stac-item
2022-05-31 11:05:37	ga_s2bm_ard_3-2-1_52JCN_2022-05-31_final.stac-item
2022-06-19 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2022-06-19_final.stac-item
2022-07-13 11:13:58	ga_s2bm_ard_3-2-1_52KBV_2022-07-13_final.stac-item
2022-07-30 11:05:00	ga_s2bm_ard_3-2-1_52JCR_2022-07-30_final.stac-item
2022-08-03 10:43:53	ga_s2bm_ard_3-2-1_53KPP_2022-08-03_final.stac-item
2022-08-03 10:46:03	ga_s2bm_ard_3-2-1_53JKF_2022-08-03_final.stac-item
2022-08-08 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2022-08-08_final.stac-item
2022-08-15 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2022-08-15_final.stac-item
2022-08-25 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2022-08-25_final.stac-item
2022-08-30 10:33:17	ga_s2bm_ard_3-2-1_54KTA_2022-08-30_final.stac-item
2022-11-16 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-11-16_final.stac-item
2022-12-06 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-12-06_final.stac-item
2023-01-07 10:32:49	ga_s2bm_ard_3-2-1_53KQT_2023-01-07_final.stac-item
2023-04-25 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2023-04-25_final
2023-06-11 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2023-06-11_final
2023-07-04 11:34:02	ga_s2bm_ard_3-2-1_51KWQ_2023-07-04_final
2023-07-19 10:44:08	ga_s2bm_ard_3-2-1_53JPN_2023-07-19_final
2023-10-02 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2023-10-02_final
2023-10-07 10:44:03	ga_s2bm_ard_3-2-1_53JPN_2023-10-07_final
2023-11-26 10:41:55	ga_s2bm_ard_3-2-1_53KRA_2023-11-26_final
2023-12-08 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2023-12-08_final
2024-01-14 11:13:35	ga_s2bm_ard_3-2-1_52KCA_2024-01-14_final
2024-01-14 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2024-01-14_final
2024-01-18 10:51:30	ga_s2bm_ard_3-2-1_53LPC_2024-01-18_final
2024-01-26 10:17:28	ga_s2bm_ard_3-2-1_54HUD_2024-01-26_final
2024-02-21 10:34:08	ga_s2bm_ard_3-2-1_53JPN_2024-02-21_final
2024-03-25 10:41:46	ga_s2bm_ard_3-2-1_53KRB_2024-03-25_final
2024-03-30 11:31:53	ga_s2bm_ard_3-2-1_51LWC_2024-03-30_final
2024-03-30 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2024-03-30_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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