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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KNC_2017-07-11_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KVS_2017-08-27_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-10-12_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51LUE_2017-12-05_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JFM_2018-03-14_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUT_2018-03-25_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KVS_2018-06-03_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KXR_2018-07-07_final.stac-item
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51KZQ_2018-08-26_final.stac-item
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_51KZQ_2018-09-22_final.stac-item
2018-11-10 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2018-11-10_final.stac-item
2018-12-17 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2018-12-17_final.stac-item
2019-02-12 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2019-02-12_final.stac-item
2019-04-25 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-04-25_final.stac-item
2019-07-12 11:23:47	ga_s2bm_ard_3-2-1_51KYR_2019-07-12_final.stac-item
2019-07-15 11:32:09	ga_s2bm_ard_3-2-1_51LWC_2019-07-15_final.stac-item
2019-07-28 11:43:37	ga_s2bm_ard_3-2-1_51KUS_2019-07-28_final.stac-item
2019-08-01 11:23:48	ga_s2bm_ard_3-2-1_51KXR_2019-08-01_final.stac-item
2019-08-21 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2019-08-21_final.stac-item
2019-08-24 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2019-08-24_final.stac-item
2019-09-04 11:05:58	ga_s2bm_ard_3-2-1_52JCM_2019-09-04_final.stac-item
2019-11-29 11:25:41	ga_s2bm_ard_3-2-1_51JYG_2019-11-29_final.stac-item
2020-01-08 11:26:42	ga_s2bm_ard_3-2-1_51HUD_2020-01-08_final.stac-item
2020-01-25 11:13:47	ga_s2bm_ard_3-2-1_51KZQ_2020-01-25_final.stac-item
2020-02-17 11:23:02	ga_s2bm_ard_3-2-1_51KZT_2020-02-17_final.stac-item
2020-03-04 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2020-03-04_final.stac-item
2020-03-11 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-03-11_final.stac-item
2020-03-11 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2020-03-11_final.stac-item
2020-04-27 11:23:40	ga_s2bm_ard_3-2-1_51KYQ_2020-04-27_final.stac-item
2020-05-10 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2020-05-10_final.stac-item
2020-05-23 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2020-05-23_final.stac-item
2020-06-06 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2020-06-06_final.stac-item
2020-06-29 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-06-29_final.stac-item
2020-06-29 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2020-06-29_final.stac-item
2020-08-01 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-08-01_final.stac-item
2020-08-08 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2020-08-08_final.stac-item
2020-08-21 11:41:59	ga_s2bm_ard_3-2-1_51LWC_2020-08-21_final.stac-item
2020-08-21 11:43:39	ga_s2bm_ard_3-2-1_51KVR_2020-08-21_final.stac-item
2020-08-31 11:41:36	ga_s2bm_ard_3-2-1_51LUE_2020-08-31_final.stac-item
2020-09-17 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2020-09-17_final.stac-item
2020-10-30 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-10-30_final.stac-item
2020-10-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-10-30_final.stac-item
2020-11-13 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2020-11-13_final.stac-item
2020-11-19 11:43:19	ga_s2bm_ard_3-2-1_51KTT_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
2020-12-03 11:22:40	ga_s2bm_ard_3-2-1_51KYV_2020-12-03_final.stac-item
2020-12-07 11:04:42	ga_s2bm_ard_3-2-1_52JDR_2020-12-07_final.stac-item
2020-12-13 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2020-12-13_final.stac-item
2021-01-08 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-01-08_final.stac-item
2021-04-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-04-04_final.stac-item
2021-04-15 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2021-04-15_final.stac-item
2021-04-25 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2021-04-25_final.stac-item
2021-05-05 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2021-05-05_final.stac-item
2021-05-15 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-05-15_final.stac-item
2021-05-18 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-05-18_final.stac-item
2021-05-29 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2021-05-29_final.stac-item
2021-08-02 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2021-08-02_final.stac-item
2021-09-29 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2021-09-29_final.stac-item
2021-10-09 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-10-09_final.stac-item
2021-10-26 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2021-10-26_final.stac-item
2021-11-01 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2021-11-01_final.stac-item
2021-11-08 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2021-11-08_final.stac-item
2021-12-01 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2021-12-01_final.stac-item
2021-12-24 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-12-24_final.stac-item
2022-01-07 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2022-01-07_final.stac-item
2022-01-13 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-01-13_final.stac-item
2022-01-17 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2022-01-17_final.stac-item
2022-02-12 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2022-02-12_final.stac-item
2022-02-17 10:55:39	ga_s2bm_ard_3-2-1_52JFM_2022-02-17_final.stac-item
2022-03-08 11:23:32	ga_s2bm_ard_3-2-1_52KBA_2022-03-08_final.stac-item
2022-03-14 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-03-14_final.stac-item
2022-04-27 11:23:28	ga_s2bm_ard_3-2-1_52KBA_2022-04-27_final.stac-item
2022-06-22 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2022-06-22_final.stac-item
2022-07-06 11:24:16	ga_s2bm_ard_3-2-1_51KXP_2022-07-06_final.stac-item
2022-07-09 11:34:19	ga_s2bm_ard_3-2-1_51KVP_2022-07-09_final.stac-item
2022-10-16 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-10-16_final.stac-item
2022-10-18 11:04:57	ga_s2bm_ard_3-2-1_52JFQ_2022-10-18_final.stac-item
2022-11-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-25_final.stac-item
2022-12-16 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2022-12-16_final.stac-item
2022-12-26 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-12-26_final.stac-item
2023-01-08 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2023-01-08_final.stac-item
2023-02-01 11:21:18	ga_s2bm_ard_3-2-1_51LZE_2023-02-01_final.stac-item
2023-04-08 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-04-08_final
2023-05-15 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-05-15_final
2023-05-19 11:13:44	ga_s2bm_ard_3-2-1_52KBA_2023-05-19_final
2023-07-07 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-07-07_final
2023-07-22 10:55:23	ga_s2bm_ard_3-2-1_52JFP_2023-07-22_final
2023-07-27 11:46:06	ga_s2bm_ard_3-2-1_50JQM_2023-07-27_final
2023-09-02 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-09-02_final
2023-09-12 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2023-09-12_final
2023-09-24 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2023-09-24_final
2023-10-12 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2023-10-12_final
2023-10-25 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2023-10-25_final
2023-11-14 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2023-11-14_final
2023-12-04 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-12-04_final
2024-02-02 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2024-02-02_final
2024-03-03 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2024-03-03_final
2024-03-30 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2024-03-30_final
2024-04-09 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2024-04-09_final
2024-04-12 11:43:04	ga_s2bm_ard_3-2-1_51KTU_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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