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
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HVD_2017-08-21_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HLH_2017-08-27_final.stac-item
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51JYK_2017-09-17_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HPK_2017-10-26_final.stac-item
2017-10-30 11:25:33	ga_s2bm_ard_3-2-1_51HUD_2017-10-30_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50KMC_2017-11-11_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-11-25_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGL_2017-12-01_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50JML_2017-12-05_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-12-21_final.stac-item
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KYR_2018-01-08_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51LXC_2018-02-10_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KUT_2018-03-02_final.stac-item
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JLN_2018-05-10_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HQJ_2018-06-23_final.stac-item
2018-06-26 11:47:27	ga_s2bm_ard_3-2-1_50KQC_2018-06-26_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JQN_2018-07-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51JUL_2018-07-23_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51JUF_2018-08-09_final.stac-item
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_50KQC_2018-10-01_final.stac-item
2018-12-21 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2018-12-21_final.stac-item
2019-04-10 11:14:13	ga_s2bm_ard_3-2-1_51KZP_2019-04-10_final.stac-item
2019-05-08 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-05-08_final.stac-item
2019-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KVV_2019-07-05_final.stac-item
2019-08-27 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2019-08-27_final.stac-item
2019-08-27 11:46:27	ga_s2bm_ard_3-2-1_50JNL_2019-08-27_final.stac-item
2019-09-13 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2019-09-13_final.stac-item
2019-10-23 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2019-10-23_final.stac-item
2019-11-12 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2019-11-12_final.stac-item
2019-11-12 11:35:40	ga_s2bm_ard_3-2-1_51JVH_2019-11-12_final.stac-item
2019-12-19 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2019-12-19_final.stac-item
2020-02-16 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2020-02-16_final.stac-item
2020-03-25 11:14:26	ga_s2bm_ard_3-2-1_51JZN_2020-03-25_final.stac-item
2020-04-03 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2020-04-03_final.stac-item
2020-04-20 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2020-04-20_final.stac-item
2020-05-17 11:26:22	ga_s2bm_ard_3-2-1_51HXE_2020-05-17_final.stac-item
2020-06-09 11:32:28	ga_s2bm_ard_3-2-1_51KXA_2020-06-09_final.stac-item
2020-06-18 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-06-18_final.stac-item
2020-08-11 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2020-08-11_final.stac-item
2020-09-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-09-26_final.stac-item
2020-10-26 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2020-10-26_final.stac-item
2020-10-27 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-10-27_final.stac-item
2020-11-15 12:03:53	ga_s2bm_ard_3-2-1_50KMA_2020-11-15_final.stac-item
2020-12-02 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2020-12-02_final
2020-12-26 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2020-12-26_final.stac-item
2021-02-04 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2021-02-04_final.stac-item
2021-03-03 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2021-03-03_final.stac-item
2021-03-06 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-03-06_final.stac-item
2021-03-26 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2021-03-26_final.stac-item
2021-04-11 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2021-04-11_final.stac-item
2021-05-25 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2021-05-25_final.stac-item
2021-06-24 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2021-06-24_final.stac-item
2021-07-03 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-03_final.stac-item
2021-08-03 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2021-08-03_final.stac-item
2021-08-06 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-08-06_final.stac-item
2021-08-07 11:13:30	ga_s2bm_ard_3-2-1_51KZS_2021-08-07_final.stac-item
2021-08-13 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2021-08-13_final.stac-item
2021-08-29 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-08-29_final.stac-item
2021-10-02 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2021-10-02_final.stac-item
2021-10-16 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2021-10-16_final.stac-item
2021-11-01 11:34:41	ga_s2bm_ard_3-2-1_51JWM_2021-11-01_final.stac-item
2021-11-08 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2021-11-08_final.stac-item
2021-12-21 11:32:09	ga_s2bm_ard_3-2-1_51KWB_2021-12-21_final.stac-item
2021-12-31 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2021-12-31_final.stac-item
2022-01-30 11:36:51	ga_s2bm_ard_3-2-1_51HUC_2022-01-30_final.stac-item
2022-02-05 11:53:33	ga_s2bm_ard_3-2-1_50KNB_2022-02-05_final.stac-item
2022-02-16 11:25:03	ga_s2bm_ard_3-2-1_51JXK_2022-02-16_final.stac-item
2022-04-26 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2022-04-26_final.stac-item
2022-04-29 12:04:06	ga_s2bm_ard_3-2-1_49KHQ_2022-04-29_final.stac-item
2022-05-03 11:43:27	ga_s2bm_ard_3-2-1_51KTS_2022-05-03_final.stac-item
2022-05-10 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2022-05-10_final.stac-item
2022-06-02 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-06-02_final.stac-item
2022-06-29 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2022-06-29_final.stac-item
2022-07-19 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2022-07-19_final.stac-item
2022-07-25 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2022-07-25_final.stac-item
2022-09-10 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2022-09-10_final.stac-item
2022-09-17 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2022-09-17_final.stac-item
2022-09-30 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-09-30_final.stac-item
2022-10-16 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-16_final.stac-item
2022-11-06 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2022-11-06_final.stac-item
2022-11-10 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2022-11-10_final.stac-item
2023-01-21 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2023-01-21_final.stac-item
2023-03-06 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-03-06_final
2023-03-13 11:23:04	ga_s2bm_ard_3-2-1_51KXU_2023-03-13_final
2023-05-04 12:04:35	ga_s2bm_ard_3-2-1_50KLU_2023-05-04_final
2023-05-22 11:26:23	ga_s2bm_ard_3-2-1_51JUF_2023-05-22_final
2023-06-27 11:41:02	ga_s2bm_ard_3-2-1_51LWG_2023-06-27_final
2023-07-11 11:22:57	ga_s2bm_ard_3-2-1_51KZU_2023-07-11_final
2023-07-21 11:25:30	ga_s2bm_ard_3-2-1_51JXJ_2023-07-21_final
2023-08-02 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2023-08-02_final
2023-08-06 11:42:14	ga_s2bm_ard_3-2-1_51KWB_2023-08-06_final
2023-08-06 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-08-06_final
2023-09-18 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2023-09-18_final
2023-10-11 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2023-10-11_final
2023-10-22 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2023-10-22_final
2023-11-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2023-11-20_final
2024-03-30 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-03-30_final
2024-04-09 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2024-04-09_final
2024-05-02 11:44:48	ga_s2bm_ard_3-2-1_51JTM_2024-05-02_final
2024-05-02 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-05-02_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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