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_53HPE_2017-09-05_final.stac-item
2017-09-12 12:03:39	ga_s2bm_ard_3-2-1_49KHR_2017-09-12_final.stac-item
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50JKM_2017-09-19_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JQT_2017-12-05_final.stac-item
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JEL_2018-01-12_final.stac-item
2018-01-29 10:53:08	ga_s2bm_ard_3-2-1_52JFQ_2018-01-29_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JXF_2018-02-07_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50HQJ_2018-02-20_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JMM_2018-02-26_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQH_2018-03-02_final.stac-item
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_51HUC_2018-04-11_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLH_2018-04-27_final.stac-item
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49JGN_2018-05-23_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KXU_2018-06-17_final.stac-item
2018-08-19 11:26:54	ga_s2bm_ard_3-2-1_51KXA_2018-08-19_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KUR_2018-10-28_final.stac-item
2018-11-15 10:55:36	ga_s2bm_ard_3-2-1_53JKG_2018-11-15_final.stac-item
2018-12-04 11:24:03	ga_s2bm_ard_3-2-1_51KYP_2018-12-04_final.stac-item
2018-12-17 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2018-12-17_final.stac-item
2019-01-13 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2019-01-13_final.stac-item
2019-03-10 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2019-03-10_final.stac-item
2019-03-11 11:14:06	ga_s2bm_ard_3-2-1_52KBU_2019-03-11_final.stac-item
2019-03-23 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-03-23_final.stac-item
2019-03-25 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2019-03-25_final.stac-item
2019-06-22 11:24:40	ga_s2bm_ard_3-2-1_51JZM_2019-06-22_final.stac-item
2019-06-24 10:26:30	ga_s2bm_ard_3-2-1_53HPD_2019-06-24_final.stac-item
2019-08-04 11:33:31	ga_s2bm_ard_3-2-1_51KXS_2019-08-04_final.stac-item
2019-09-02 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2019-09-02_final.stac-item
2019-09-04 11:06:27	ga_s2bm_ard_3-2-1_52HBK_2019-09-04_final.stac-item
2019-10-13 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2019-10-13_final.stac-item
2019-12-06 11:13:23	ga_s2bm_ard_3-2-1_51KZS_2019-12-06_final.stac-item
2020-02-04 11:11:42	ga_s2bm_ard_3-2-1_52LEH_2020-02-04_final.stac-item
2020-02-29 10:26:29	ga_s2bm_ard_3-2-1_53HQC_2020-02-29_final.stac-item
2020-04-02 10:36:08	ga_s2bm_ard_3-2-1_53HME_2020-04-02_final.stac-item
2020-04-11 11:01:28	ga_s2bm_ard_3-2-1_52LGJ_2020-04-11_final.stac-item
2020-07-22 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-07-22_final.stac-item
2020-08-03 10:46:27	ga_s2bm_ard_3-2-1_53HLD_2020-08-03_final.stac-item
2020-08-07 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-08-07_final.stac-item
2020-12-11 10:45:11	ga_s2bm_ard_3-2-1_53JKJ_2020-12-11_final.stac-item
2021-01-03 10:55:39	ga_s2bm_ard_3-2-1_52JEM_2021-01-03_final.stac-item
2021-02-14 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2021-02-14_final.stac-item
2021-03-03 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2021-03-03_final.stac-item
2021-03-25 10:26:39	ga_s2bm_ard_3-2-1_53HNC_2021-03-25_final.stac-item
2021-05-04 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2021-05-04_final.stac-item
2021-05-18 11:45:29	ga_s2bm_ard_3-2-1_51JTJ_2021-05-18_final.stac-item
2021-05-30 10:46:07	ga_s2bm_ard_3-2-1_53HME_2021-05-30_final.stac-item
2021-06-04 11:32:47	ga_s2bm_ard_3-2-1_51KXV_2021-06-04_final.stac-item
2021-06-10 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-06-10_final.stac-item
2021-07-05 11:04:52	ga_s2bm_ard_3-2-1_52JDR_2021-07-05_final.stac-item
2021-07-24 11:34:31	ga_s2bm_ard_3-2-1_51JVN_2021-07-24_final.stac-item
2021-07-30 11:55:08	ga_s2bm_ard_3-2-1_50JNR_2021-07-30_final.stac-item
2021-08-16 11:44:45	ga_s2bm_ard_3-2-1_51JTM_2021-08-16_final.stac-item
2021-09-25 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2021-09-25_final.stac-item
2021-10-13 11:00:49	ga_s2bm_ard_3-2-1_52LGM_2021-10-13_final.stac-item
2021-11-20 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-11-20_final.stac-item
2021-12-11 11:31:10	ga_s2bm_ard_3-2-1_51LZE_2021-12-11_final.stac-item
2021-12-25 11:11:33	ga_s2bm_ard_3-2-1_52LFH_2021-12-25_final.stac-item
2022-01-07 11:21:28	ga_s2bm_ard_3-2-1_52LDJ_2022-01-07_final.stac-item
2022-01-29 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2022-01-29_final.stac-item
2022-03-27 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2022-03-27_final.stac-item
2022-03-30 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2022-03-30_final.stac-item
2022-04-13 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2022-04-13_final.stac-item
2022-05-29 10:26:03	ga_s2bm_ard_3-2-1_53HQE_2022-05-29_final.stac-item
2022-06-13 11:15:25	ga_s2bm_ard_3-2-1_52JBP_2022-06-13_final.stac-item
2022-07-19 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2022-07-19_final.stac-item
2022-08-27 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-08-27_final.stac-item
2022-10-18 11:04:50	ga_s2bm_ard_3-2-1_52JDR_2022-10-18_final.stac-item
2022-10-20 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2022-10-20_final.stac-item
2022-10-26 10:26:21	ga_s2bm_ard_3-2-1_53HPD_2022-10-26_final.stac-item
2022-12-14 10:53:41	ga_s2bm_ard_3-2-1_52KHV_2022-12-14_final.stac-item
2022-12-15 10:26:48	ga_s2bm_ard_3-2-1_53HNB_2022-12-15_final.stac-item
2022-12-28 10:36:58	ga_s2bm_ard_3-2-1_53HPA_2022-12-28_final.stac-item
2023-01-02 11:21:59	ga_s2bm_ard_3-2-1_52KDG_2023-01-02_final.stac-item
2023-01-07 10:36:19	ga_s2bm_ard_3-2-1_53HND_2023-01-07_final.stac-item
2023-01-22 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2023-01-22_final.stac-item
2023-02-03 10:26:33	ga_s2bm_ard_3-2-1_53HPC_2023-02-03_final.stac-item
2023-02-26 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2023-02-26_final
2023-03-13 11:22:46	ga_s2bm_ard_3-2-1_51KYV_2023-03-13_final
2023-04-01 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2023-04-01_final
2023-04-11 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2023-04-11_final
2023-05-24 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-05-24_final
2023-06-18 11:13:09	ga_s2bm_ard_3-2-1_52KDC_2023-06-18_final
2023-06-25 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2023-06-25_final
2023-06-27 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-06-27_final
2023-06-28 11:12:47	ga_s2bm_ard_3-2-1_52KFD_2023-06-28_final
2023-11-11 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2023-11-11_final
2023-11-29 10:53:58	ga_s2bm_ard_3-2-1_52KGU_2023-11-29_final
2023-12-08 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2023-12-08_final
2024-01-17 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2024-01-17_final
2024-01-20 11:31:04	ga_s2bm_ard_3-2-1_52LBL_2024-01-20_nrt
2024-01-21 11:04:14	ga_s2bm_ard_3-2-1_52JFT_2024-01-21_final
2024-02-16 11:22:49	ga_s2bm_ard_3-2-1_52KCD_2024-02-16_final
2024-02-20 11:02:41	ga_s2bm_ard_3-2-1_52KHD_2024-02-20_final
2024-03-13 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2024-03-13_final
2024-03-13 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2024-03-13_final
2024-03-13 11:43:59	ga_s2bm_ard_3-2-1_51KTQ_2024-03-13_final
2024-03-20 11:31:04	ga_s2bm_ard_3-2-1_52LBL_2024-03-20_nrt
2024-03-20 11:34:36	ga_s2bm_ard_3-2-1_51JTN_2024-03-20_final
2024-04-11 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-04-11_final
2024-04-12 11:44:50	ga_s2bm_ard_3-2-1_51JTM_2024-04-12_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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