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
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HMK_2017-12-05_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRA_2017-12-25_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYT_2018-01-28_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JTJ_2018-01-31_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JTM_2018-02-20_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JVK_2018-06-07_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50KMA_2018-06-19_final.stac-item
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53JKF_2018-08-04_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HQH_2018-09-18_final.stac-item
2018-10-27 12:06:02	ga_s2bm_ard_3-2-1_50JKM_2018-10-27_final.stac-item
2018-11-10 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2018-11-10_final.stac-item
2018-11-18 11:01:29	ga_s2bm_ard_3-2-1_52LGJ_2018-11-18_final.stac-item
2019-03-11 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2019-03-11_final.stac-item
2019-04-03 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2019-04-03_final.stac-item
2019-05-06 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-05-06_final.stac-item
2019-06-08 11:44:27	ga_s2bm_ard_3-2-1_50KQU_2019-06-08_final.stac-item
2019-06-15 11:33:35	ga_s2bm_ard_3-2-1_51KWS_2019-06-15_final.stac-item
2019-09-08 10:44:30	ga_s2bm_ard_3-2-1_53JPL_2019-09-08_final.stac-item
2019-10-15 10:36:18	ga_s2bm_ard_3-2-1_53HPD_2019-10-15_final.stac-item
2019-10-26 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2019-10-26_final.stac-item
2019-12-09 11:24:13	ga_s2bm_ard_3-2-1_52JBT_2019-12-09_final.stac-item
2019-12-25 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2019-12-25_final.stac-item
2020-01-08 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2020-01-08_final.stac-item
2020-02-04 11:11:27	ga_s2bm_ard_3-2-1_52LEJ_2020-02-04_final.stac-item
2020-02-21 11:00:55	ga_s2bm_ard_3-2-1_52LGL_2020-02-21_final.stac-item
2020-03-01 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2020-03-01_final.stac-item
2020-03-08 11:23:33	ga_s2bm_ard_3-2-1_51KXR_2020-03-08_final.stac-item
2020-03-26 10:44:26	ga_s2bm_ard_3-2-1_53JPL_2020-03-26_final.stac-item
2020-04-20 11:34:53	ga_s2bm_ard_3-2-1_51JVL_2020-04-20_final.stac-item
2020-04-30 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2020-04-30_final.stac-item
2020-05-10 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2020-05-10_final.stac-item
2020-07-02 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2020-07-02_final.stac-item
2020-07-18 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-07-18_final.stac-item
2020-08-07 10:27:08	ga_s2bm_ard_3-2-1_53HPA_2020-08-07_final.stac-item
2020-09-04 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-09-04_final.stac-item
2020-09-09 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2020-09-09_final.stac-item
2020-12-15 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2020-12-15_final.stac-item
2021-01-05 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2021-01-05_final.stac-item
2021-01-19 11:11:01	ga_s2bm_ard_3-2-1_52LFL_2021-01-19_final.stac-item
2021-02-01 11:21:35	ga_s2bm_ard_3-2-1_52LCJ_2021-02-01_final.stac-item
2021-02-05 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2021-02-05_final.stac-item
2021-03-10 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2021-03-10_final.stac-item
2021-03-16 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-03-16_final.stac-item
2021-04-22 11:22:55	ga_s2bm_ard_3-2-1_51KXU_2021-04-22_final.stac-item
2021-04-25 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2021-04-25_final.stac-item
2021-05-04 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2021-05-04_final.stac-item
2021-05-15 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-05-15_final.stac-item
2021-06-17 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2021-06-17_final.stac-item
2021-06-22 10:55:03	ga_s2bm_ard_3-2-1_52JFQ_2021-06-22_final.stac-item
2021-08-19 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-08-19_final.stac-item
2021-08-26 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2021-08-26_final.stac-item
2021-09-12 11:35:12	ga_s2bm_ard_3-2-1_51JUK_2021-09-12_final.stac-item
2021-09-26 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2021-09-26_final.stac-item
2021-10-01 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-10-01_final.stac-item
2021-10-01 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-10-01_final.stac-item
2021-11-10 10:26:32	ga_s2bm_ard_3-2-1_53HQC_2021-11-10_final.stac-item
2021-11-26 10:44:12	ga_s2bm_ard_3-2-1_53JPM_2021-11-26_final.stac-item
2021-12-02 11:05:40	ga_s2bm_ard_3-2-1_52JEM_2021-12-02_final.stac-item
2021-12-09 10:53:27	ga_s2bm_ard_3-2-1_52KGA_2021-12-09_final.stac-item
2021-12-16 10:45:51	ga_s2bm_ard_3-2-1_52JGL_2021-12-16_final.stac-item
2022-01-05 10:45:47	ga_s2bm_ard_3-2-1_53JKF_2022-01-05_final.stac-item
2022-01-17 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2022-01-17_final.stac-item
2022-01-18 10:55:23	ga_s2bm_ard_3-2-1_52JGN_2022-01-18_final.stac-item
2022-01-18 10:55:27	ga_s2bm_ard_3-2-1_52JFN_2022-01-18_final.stac-item
2022-01-25 10:44:23	ga_s2bm_ard_3-2-1_53JPL_2022-01-25_final.stac-item
2022-03-01 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2022-03-01_final.stac-item
2022-03-30 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2022-03-30_final.stac-item
2022-04-03 11:46:23	ga_s2bm_ard_3-2-1_50JML_2022-04-03_final.stac-item
2022-05-16 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2022-05-16_final.stac-item
2022-06-04 10:45:55	ga_s2bm_ard_3-2-1_53JLF_2022-06-04_final.stac-item
2022-06-30 11:05:07	ga_s2bm_ard_3-2-1_52JEQ_2022-06-30_final.stac-item
2022-07-31 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-31_final.stac-item
2022-08-29 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2022-08-29_final.stac-item
2022-09-09 10:36:52	ga_s2bm_ard_3-2-1_53HNB_2022-09-09_final.stac-item
2022-09-26 10:26:07	ga_s2bm_ard_3-2-1_53HPE_2022-09-26_final.stac-item
2022-11-07 11:02:46	ga_s2bm_ard_3-2-1_52KFD_2022-11-07_final.stac-item
2022-11-14 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2022-11-14_final.stac-item
2022-11-28 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2022-11-28_final.stac-item
2022-12-14 10:54:53	ga_s2bm_ard_3-2-1_52JGQ_2022-12-14_final.stac-item
2023-01-06 11:04:19	ga_s2bm_ard_3-2-1_52JDT_2023-01-06_final.stac-item
2023-01-16 11:01:28	ga_s2bm_ard_3-2-1_52LGJ_2023-01-16_final.stac-item
2023-01-29 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2023-01-29_final.stac-item
2023-03-28 10:36:10	ga_s2bm_ard_3-2-1_53HNE_2023-03-28_final
2023-04-04 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2023-04-04_final
2023-04-25 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2023-04-25_final
2023-05-15 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2023-05-15_final
2023-06-24 11:31:10	ga_s2bm_ard_3-2-1_51LZF_2023-06-24_nrt
2023-06-27 11:45:41	ga_s2bm_ard_3-2-1_50JPP_2023-06-27_final
2023-08-14 11:05:57	ga_s2bm_ard_3-2-1_52JCM_2023-08-14_final
2023-08-20 11:23:05	ga_s2bm_ard_3-2-1_51KXU_2023-08-20_final
2023-10-18 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-10-18_final
2023-11-12 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2023-11-12_final
2023-11-29 10:53:58	ga_s2bm_ard_3-2-1_52KGU_2023-11-29_final
2023-12-12 11:05:35	ga_s2bm_ard_3-2-1_52JCN_2023-12-12_final
2024-01-24 11:12:14	ga_s2bm_ard_3-2-1_52KDF_2024-01-24_final
2024-01-27 11:21:30	ga_s2bm_ard_3-2-1_52LDJ_2024-01-27_final
2024-02-04 10:44:33	ga_s2bm_ard_3-2-1_53JNL_2024-02-04_final
2024-02-13 11:11:28	ga_s2bm_ard_3-2-1_52LGJ_2024-02-13_final
2024-02-18 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2024-02-18_final
2024-04-06 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2024-04-06_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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