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
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2017-11-19_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KWU_2017-12-22_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KVS_2018-01-01_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-02-09_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JFM_2018-03-04_final.stac-item
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KWU_2018-03-12_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KUV_2018-04-24_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KUT_2018-05-01_final.stac-item
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HWE_2018-05-25_final.stac-item
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KYT_2018-05-28_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KZT_2018-06-07_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KZR_2018-06-17_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KWU_2018-07-10_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HVE_2018-08-09_final.stac-item
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52JET_2018-08-23_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KVQ_2018-08-29_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JPQ_2018-10-04_final.stac-item
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_51KZS_2018-11-01_final.stac-item
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KXR_2018-11-04_final.stac-item
2019-04-03 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2019-04-03_final.stac-item
2019-04-26 11:34:07	ga_s2bm_ard_3-2-1_51KVQ_2019-04-26_final.stac-item
2019-05-05 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-05-05_final.stac-item
2019-06-07 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-06-07_final.stac-item
2019-08-01 11:24:10	ga_s2bm_ard_3-2-1_51KWQ_2019-08-01_final.stac-item
2019-08-04 11:34:07	ga_s2bm_ard_3-2-1_51KVQ_2019-08-04_final.stac-item
2019-08-14 11:36:49	ga_s2bm_ard_3-2-1_51HUD_2019-08-14_final.stac-item
2019-08-24 11:33:03	ga_s2bm_ard_3-2-1_51KWU_2019-08-24_final.stac-item
2019-09-23 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2019-09-23_final.stac-item
2019-10-10 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2019-10-10_final.stac-item
2019-11-02 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2019-11-02_final.stac-item
2019-11-02 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2019-11-02_final.stac-item
2019-11-19 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2019-11-19_final.stac-item
2019-11-22 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2019-11-22_final.stac-item
2019-12-02 11:32:35	ga_s2bm_ard_3-2-1_51KXV_2019-12-02_final.stac-item
2019-12-12 11:32:35	ga_s2bm_ard_3-2-1_51KXV_2019-12-12_final.stac-item
2019-12-28 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2019-12-28_final.stac-item
2020-01-21 11:33:46	ga_s2bm_ard_3-2-1_51KXQ_2020-01-21_final.stac-item
2020-04-06 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2020-04-06_final.stac-item
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2020-05-19_final.stac-item
2020-05-20 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2020-05-20_final.stac-item
2020-05-30 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2020-05-30_final.stac-item
2020-08-08 11:35:40	ga_s2bm_ard_3-2-1_50JQP_2020-08-08_final.stac-item
2020-08-26 10:55:49	ga_s2bm_ard_3-2-1_52JFM_2020-08-26_final.stac-item
2020-09-29 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2020-09-29_final.stac-item
2020-10-30 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2020-10-30_final.stac-item
2020-11-18 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2020-11-18_final.stac-item
2020-11-19 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2020-11-19_final.stac-item
2020-12-26 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2020-12-26_final.stac-item
2021-01-18 11:44:23	ga_s2bm_ard_3-2-1_50KPU_2021-01-18_final.stac-item
2021-01-18 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2021-01-18_final.stac-item
2021-01-29 11:16:19	ga_s2bm_ard_3-2-1_51JWF_2021-01-29_final.stac-item
2021-03-06 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2021-03-06_final.stac-item
2021-04-15 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2021-04-15_final.stac-item
2021-05-08 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2021-05-08_final.stac-item
2021-05-15 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2021-05-15_final.stac-item
2021-05-22 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2021-05-22_final.stac-item
2021-07-04 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2021-07-04_final.stac-item
2021-08-13 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2021-08-13_final.stac-item
2021-09-02 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2021-09-02_final.stac-item
2021-09-05 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2021-09-05_final.stac-item
2021-09-14 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2021-09-14_final.stac-item
2021-09-26 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2021-09-26_final.stac-item
2022-02-07 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2022-02-07_final.stac-item
2022-02-09 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2022-02-09_final.stac-item
2022-03-04 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2022-03-04_final.stac-item
2022-05-04 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2022-05-04_final.stac-item
2022-05-04 11:15:05	ga_s2bm_ard_3-2-1_51JYK_2022-05-04_final.stac-item
2022-05-13 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-05-13_final.stac-item
2022-05-13 11:44:51	ga_s2bm_ard_3-2-1_50JPS_2022-05-13_final.stac-item
2022-07-26 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2022-07-26_final.stac-item
2022-08-09 11:05:12	ga_s2bm_ard_3-2-1_52JCQ_2022-08-09_final.stac-item
2022-08-25 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2022-08-25_final.stac-item
2022-08-25 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2022-08-25_final.stac-item
2022-08-31 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2022-08-31_final.stac-item
2022-09-01 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2022-09-01_final.stac-item
2022-09-11 12:51:01	ga_s2bm_ard_3-2-1_48LXP_2022-09-11_interim
2022-10-01 11:14:28	ga_s2bm_ard_3-2-1_51JYN_2022-10-01_final.stac-item
2022-10-10 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-10-10_final.stac-item
2022-11-17 11:05:26	ga_s2bm_ard_3-2-1_52JFN_2022-11-17_final.stac-item
2022-12-16 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2022-12-16_final.stac-item
2023-01-25 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2023-01-25_final.stac-item
2023-01-25 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2023-01-25_final.stac-item
2023-02-03 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2023-02-03_final.stac-item
2023-02-10 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2023-02-10_final.stac-item
2023-02-17 11:41:16	ga_s2bm_ard_3-2-1_51LUF_2023-02-17_final
2023-03-27 11:06:13	ga_s2bm_ard_3-2-1_52JBL_2023-03-27_final
2023-06-24 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2023-06-24_final
2023-07-17 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2023-07-17_final
2023-08-13 11:32:25	ga_s2bm_ard_3-2-1_51KVB_2023-08-13_final
2023-09-12 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-09-12_final
2023-11-10 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-11-10_final
2023-11-18 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2023-11-18_final
2023-11-29 10:54:59	ga_s2bm_ard_3-2-1_52JFQ_2023-11-29_final
2023-12-28 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2023-12-28_final
2024-01-04 11:16:31	ga_s2bm_ard_3-2-1_51HWE_2024-01-04_final
2024-01-18 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2024-01-18_final
2024-02-12 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2024-02-12_final
2024-02-26 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2024-02-26_final
2024-03-23 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-03-23_final
2024-05-06 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2024-05-06_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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