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
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVR_2017-11-02_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXS_2017-11-22_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51JYK_2017-12-09_final.stac-item
2017-12-10 10:47:13	ga_s2bm_ard_3-2-1_52JGM_2017-12-10_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JWN_2017-12-12_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVP_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_50KRU_2017-12-15_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KQA_2017-12-18_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KWQ_2017-12-22_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KVT_2018-01-01_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KXU_2018-01-01_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLK_2018-02-26_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50KRD_2018-04-14_final.stac-item
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50KRD_2018-08-15_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KUT_2018-08-22_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWQ_2018-10-18_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KXQ_2018-10-25_final.stac-item
2018-11-10 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2018-11-10_final.stac-item
2018-11-27 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2018-11-27_final.stac-item
2018-12-07 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2018-12-07_final.stac-item
2018-12-14 11:23:58	ga_s2bm_ard_3-2-1_51KZP_2018-12-14_final.stac-item
2018-12-21 11:14:45	ga_s2bm_ard_3-2-1_52JCR_2018-12-21_final.stac-item
2018-12-24 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2018-12-24_final.stac-item
2018-12-26 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2018-12-26_final.stac-item
2019-01-01 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2019-01-01_final.stac-item
2019-01-13 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2019-01-13_final.stac-item
2019-01-23 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2019-01-23_final.stac-item
2019-01-23 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2019-01-23_final.stac-item
2019-01-26 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2019-01-26_final.stac-item
2019-01-26 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2019-01-26_final.stac-item
2019-02-13 10:55:42	ga_s2bm_ard_3-2-1_52JGM_2019-02-13_final.stac-item
2019-02-18 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2019-02-18_final.stac-item
2019-10-12 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2019-10-12_final.stac-item
2019-10-16 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2019-10-16_final.stac-item
2019-11-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-11-05_final.stac-item
2019-11-12 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2019-11-12_final.stac-item
2019-11-25 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2019-11-25_final.stac-item
2019-12-02 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-02_final.stac-item
2019-12-12 11:32:45	ga_s2bm_ard_3-2-1_51KYU_2019-12-12_final.stac-item
2020-01-01 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2020-01-01_final.stac-item
2020-01-01 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2020-01-01_final.stac-item
2020-01-14 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-01-14_final.stac-item
2020-02-10 11:34:56	ga_s2bm_ard_3-2-1_51JUL_2020-02-10_final.stac-item
2020-02-13 11:41:22	ga_s2bm_ard_3-2-1_51LUE_2020-02-13_final.stac-item
2020-04-07 11:25:17	ga_s2bm_ard_3-2-1_51JYJ_2020-04-07_final.stac-item
2020-06-02 11:44:50	ga_s2bm_ard_3-2-1_50JQS_2020-06-02_final.stac-item
2020-10-07 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2020-10-07_final.stac-item
2020-10-17 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2020-10-17_final.stac-item
2020-10-27 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2020-10-27_final.stac-item
2020-11-09 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2020-11-09_final.stac-item
2020-11-10 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2020-11-10_final.stac-item
2020-11-16 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2020-11-16_final.stac-item
2020-11-19 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2020-11-19_final.stac-item
2020-11-26 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2020-11-26_final.stac-item
2020-12-16 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2020-12-16_final.stac-item
2021-01-24 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-01-24_final.stac-item
2021-01-28 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-01-28_final.stac-item
2021-02-24 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2021-02-24_final.stac-item
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-02-26_final.stac-item
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2021-03-05_final.stac-item
2021-08-06 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2021-08-06_final.stac-item
2021-09-28 11:53:02	ga_s2bm_ard_3-2-1_50KQD_2021-09-28_final
2021-10-16 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2021-10-16_final.stac-item
2021-10-29 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2021-10-29_final.stac-item
2021-11-14 11:44:15	ga_s2bm_ard_3-2-1_51KTP_2021-11-14_final.stac-item
2021-11-28 11:25:01	ga_s2bm_ard_3-2-1_51JYK_2021-11-28_final.stac-item
2021-12-04 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2021-12-04_final.stac-item
2021-12-08 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2021-12-08_final.stac-item
2021-12-21 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2021-12-21_final.stac-item
2022-01-13 11:43:49	ga_s2bm_ard_3-2-1_51KUQ_2022-01-13_final.stac-item
2022-01-20 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2022-01-20_final.stac-item
2022-01-20 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2022-01-20_final.stac-item
2022-01-20 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2022-01-20_final.stac-item
2022-01-23 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-01-23_final.stac-item
2022-01-23 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2022-01-23_final.stac-item
2022-02-09 11:34:08	ga_s2bm_ard_3-2-1_51KVP_2022-02-09_final.stac-item
2022-02-13 11:15:06	ga_s2bm_ard_3-2-1_52JDP_2022-02-13_final.stac-item
2022-03-01 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2022-03-01_final.stac-item
2022-03-10 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-03-10_final.stac-item
2022-04-14 11:15:50	ga_s2bm_ard_3-2-1_51JYG_2022-04-14_final.stac-item
2022-08-11 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2022-08-11_final.stac-item
2022-10-07 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2022-10-07_final.stac-item
2022-12-09 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-12-09_final.stac-item
2022-12-26 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2022-12-26_final.stac-item
2022-12-26 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2022-12-26_final.stac-item
2022-12-29 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-12-29_final.stac-item
2023-03-09 11:43:51	ga_s2bm_ard_3-2-1_51KTR_2023-03-09_final
2023-04-15 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2023-04-15_final
2023-08-23 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-08-23_final
2023-11-11 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2023-11-11_final
2023-11-21 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2023-11-21_final
2023-12-11 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2023-12-11_final
2023-12-24 11:43:31	ga_s2bm_ard_3-2-1_51KVS_2023-12-24_final
2024-01-04 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2024-01-04_final
2024-01-10 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2024-01-10_final
2024-02-02 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2024-02-02_final
2024-02-12 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-02-12_final
2024-02-12 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2024-02-12_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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