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
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KWB_2017-12-02_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWR_2017-12-12_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KXU_2017-12-12_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KTU_2017-12-15_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KWQ_2017-12-19_final.stac-item
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KYT_2018-03-12_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWB_2018-04-01_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JNL_2018-06-06_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50KQC_2018-07-26_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JKM_2018-08-15_final.stac-item
2018-11-08 11:02:43	ga_s2bm_ard_3-2-1_52KHC_2018-11-08_final.stac-item
2018-11-27 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2018-11-27_final.stac-item
2018-12-07 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2018-12-07_final.stac-item
2018-12-07 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2018-12-07_final.stac-item
2018-12-14 11:23:18	ga_s2bm_ard_3-2-1_51KYS_2018-12-14_final.stac-item
2018-12-16 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2018-12-16_final.stac-item
2018-12-27 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2018-12-27_final.stac-item
2019-01-03 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2019-01-03_final.stac-item
2019-01-06 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2019-01-06_final.stac-item
2019-01-16 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2019-01-16_final.stac-item
2019-01-16 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2019-01-16_final.stac-item
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final.stac-item
2019-01-29 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2019-01-29_final.stac-item
2019-01-29 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2019-01-29_final.stac-item
2019-03-03 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2019-03-03_final.stac-item
2019-03-18 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2019-03-18_final.stac-item
2019-04-15 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2019-04-15_final.stac-item
2019-04-26 11:33:29	ga_s2bm_ard_3-2-1_51KUT_2019-04-26_final.stac-item
2019-07-04 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-07-04_final.stac-item
2019-08-11 11:23:20	ga_s2bm_ard_3-2-1_51KXT_2019-08-11_final.stac-item
2019-08-16 12:15:06	ga_s2bm_ard_3-2-1_49JFM_2019-08-16_final.stac-item
2019-08-30 11:55:24	ga_s2bm_ard_3-2-1_50JNQ_2019-08-30_final.stac-item
2019-09-19 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2019-09-19_final.stac-item
2019-11-23 11:02:12	ga_s2bm_ard_3-2-1_52KGF_2019-11-23_final.stac-item
2020-01-01 11:33:08	ga_s2bm_ard_3-2-1_51KWT_2020-01-01_final.stac-item
2020-01-05 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2020-01-05_final.stac-item
2020-02-10 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2020-02-10_final.stac-item
2020-02-10 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2020-02-10_final.stac-item
2020-02-23 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2020-02-23_final.stac-item
2020-03-11 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2020-03-11_final.stac-item
2020-03-21 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2020-03-21_final.stac-item
2020-04-17 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2020-04-17_final.stac-item
2020-04-20 11:33:08	ga_s2bm_ard_3-2-1_51KWT_2020-04-20_final.stac-item
2020-04-30 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2020-04-30_final.stac-item
2020-05-23 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2020-05-23_final.stac-item
2020-05-26 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2020-05-26_final.stac-item
2020-09-20 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2020-09-20_final.stac-item
2020-10-27 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2020-10-27_final.stac-item
2020-11-06 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2020-11-06_final.stac-item
2020-11-09 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-11-09_final.stac-item
2020-12-19 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2020-12-19_final.stac-item
2021-01-18 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-01-18_final.stac-item
2021-03-02 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-03-02_final.stac-item
2021-03-07 11:03:16	ga_s2bm_ard_3-2-1_52KFB_2021-03-07_final.stac-item
2021-05-26 11:05:58	ga_s2bm_ard_3-2-1_52JBM_2021-05-26_final.stac-item
2021-06-17 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2021-06-17_final.stac-item
2021-07-14 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2021-07-14_final.stac-item
2021-08-16 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2021-08-16_final.stac-item
2021-08-26 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-08-26_final.stac-item
2021-10-15 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-10-15_final.stac-item
2021-10-21 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2021-10-21_final.stac-item
2021-10-29 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2021-10-29_final.stac-item
2021-10-29 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2021-10-29_final.stac-item
2021-11-04 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2021-11-04_final.stac-item
2021-11-24 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2021-11-24_final.stac-item
2021-12-01 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2021-12-01_final.stac-item
2021-12-04 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2021-12-04_final.stac-item
2021-12-11 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2021-12-11_final.stac-item
2021-12-31 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2021-12-31_final.stac-item
2022-01-03 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-01-03_final.stac-item
2022-01-03 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-01-03_final.stac-item
2022-01-10 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2022-01-10_final.stac-item
2022-01-23 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2022-01-23_final.stac-item
2022-01-24 11:12:12	ga_s2bm_ard_3-2-1_52KEF_2022-01-24_final.stac-item
2022-03-10 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-03-10_final.stac-item
2022-04-20 11:34:11	ga_s2bm_ard_3-2-1_51JXN_2022-04-20_final.stac-item
2022-05-23 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2022-05-23_final.stac-item
2022-07-06 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2022-07-06_final.stac-item
2022-07-15 11:52:38	ga_s2bm_ard_3-2-1_50KQF_2022-07-15_final
2022-07-26 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2022-07-26_final.stac-item
2022-10-27 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2022-10-27_final.stac-item
2022-11-20 11:14:37	ga_s2bm_ard_3-2-1_52JBS_2022-11-20_final.stac-item
2022-11-26 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2022-11-26_final.stac-item
2022-12-19 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-12-19_final.stac-item
2022-12-20 11:13:53	ga_s2bm_ard_3-2-1_52KBV_2022-12-20_final.stac-item
2022-12-26 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2022-12-26_final.stac-item
2023-02-14 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2023-02-14_final
2023-02-21 11:21:53	ga_s2bm_ard_3-2-1_52LBH_2023-02-21_final
2023-03-03 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2023-03-03_final
2023-03-27 11:04:39	ga_s2bm_ard_3-2-1_52JDS_2023-03-27_final
2023-04-25 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2023-04-25_final
2023-06-16 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-06-16_final
2023-12-11 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2023-12-11_final
2024-01-17 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2024-01-17_final
2024-01-28 10:52:29	ga_s2bm_ard_3-2-1_52KHE_2024-01-28_final
2024-02-09 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2024-02-09_final
2024-02-26 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2024-02-26_final
2024-02-29 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2024-02-29_final
2024-04-07 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2024-04-07_final
2024-04-22 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-04-22_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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