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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JKN_2017-09-09_final.stac-item
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVJ_2017-10-13_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HUC_2017-11-19_final.stac-item
2017-11-23 11:02:50	ga_s2bm_ard_3-2-1_52HBK_2017-11-23_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KYU_2017-12-02_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JMM_2018-01-14_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51LZC_2018-01-28_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JVF_2018-02-07_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KXQ_2018-02-17_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KVV_2018-02-20_final.stac-item
2018-03-05 11:36:41	ga_s2bm_ard_3-2-1_51KVB_2018-03-05_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KVS_2018-03-25_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HLH_2018-09-11_final.stac-item
2018-09-19 11:04:43	ga_s2bm_ard_3-2-1_52JBL_2018-09-19_final.stac-item
2018-11-10 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2018-11-10_final.stac-item
2018-11-24 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2018-11-24_final.stac-item
2019-01-20 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2019-01-20_final.stac-item
2019-01-28 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2019-01-28_final.stac-item
2019-03-06 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2019-03-06_final.stac-item
2019-04-06 11:32:03	ga_s2bm_ard_3-2-1_51LWC_2019-04-06_final.stac-item
2019-05-13 11:23:47	ga_s2bm_ard_3-2-1_51KYR_2019-05-13_final.stac-item
2019-05-16 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-05-16_final.stac-item
2019-05-30 11:15:19	ga_s2bm_ard_3-2-1_51JYK_2019-05-30_final.stac-item
2019-06-08 11:46:41	ga_s2bm_ard_3-2-1_50HPK_2019-06-08_final.stac-item
2019-08-18 11:16:46	ga_s2bm_ard_3-2-1_51HXD_2019-08-18_final.stac-item
2019-09-27 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2019-09-27_final.stac-item
2019-09-30 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2019-09-30_final.stac-item
2020-01-11 11:35:10	ga_s2bm_ard_3-2-1_51JUK_2020-01-11_final.stac-item
2020-03-31 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2020-03-31_final.stac-item
2020-04-20 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2020-04-20_final.stac-item
2020-04-29 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2020-04-29_final.stac-item
2020-05-06 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2020-05-06_final.stac-item
2020-05-29 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2020-05-29_final.stac-item
2020-06-03 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2020-06-03_final.stac-item
2020-06-22 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-06-22_final.stac-item
2020-08-18 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-08-18_final.stac-item
2020-08-25 11:24:08	ga_s2bm_ard_3-2-1_51KZP_2020-08-25_final.stac-item
2020-09-10 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-09-10_final.stac-item
2020-10-27 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2020-10-27_final.stac-item
2020-11-09 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2020-11-09_final.stac-item
2020-11-23 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2020-11-23_final.stac-item
2021-02-10 11:55:17	ga_s2bm_ard_3-2-1_50JNQ_2021-02-10_final.stac-item
2021-05-04 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-05-04_final.stac-item
2021-05-05 11:34:55	ga_s2bm_ard_3-2-1_51JVL_2021-05-05_final.stac-item
2021-05-12 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2021-05-12_final.stac-item
2021-05-24 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-05-24_final.stac-item
2021-06-17 11:42:00	ga_s2bm_ard_3-2-1_51LVC_2021-06-17_final.stac-item
2021-06-30 11:53:32	ga_s2bm_ard_3-2-1_50KMC_2021-06-30_final.stac-item
2021-07-04 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2021-07-04_final.stac-item
2021-08-09 11:54:20	ga_s2bm_ard_3-2-1_50KPU_2021-08-09_final.stac-item
2021-08-30 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2021-08-30_final.stac-item
2021-09-25 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2021-09-25_final.stac-item
2021-10-01 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-10-01_final.stac-item
2021-10-28 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-10-28_final.stac-item
2021-11-21 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2021-11-21_final.stac-item
2021-12-05 11:13:49	ga_s2bm_ard_3-2-1_51KZQ_2021-12-05_final.stac-item
2021-12-21 11:31:30	ga_s2bm_ard_3-2-1_51LZD_2021-12-21_final.stac-item
2021-12-24 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2021-12-24_final.stac-item
2022-01-12 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2022-01-12_final.stac-item
2022-01-17 11:25:46	ga_s2bm_ard_3-2-1_51JWG_2022-01-17_final.stac-item
2022-01-27 11:24:26	ga_s2bm_ard_3-2-1_51JZM_2022-01-27_final.stac-item
2022-01-30 11:32:55	ga_s2bm_ard_3-2-1_51KVU_2022-01-30_final.stac-item
2022-02-26 11:25:56	ga_s2bm_ard_3-2-1_51JVG_2022-02-26_final.stac-item
2022-03-21 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2022-03-21_final.stac-item
2022-03-31 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2022-03-31_final.stac-item
2022-04-03 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2022-04-03_final.stac-item
2022-04-21 11:06:19	ga_s2bm_ard_3-2-1_52HBK_2022-04-21_final.stac-item
2022-04-24 11:16:06	ga_s2bm_ard_3-2-1_51JXF_2022-04-24_final.stac-item
2022-04-27 11:24:23	ga_s2bm_ard_3-2-1_51JWN_2022-04-27_final.stac-item
2022-04-27 11:24:59	ga_s2bm_ard_3-2-1_51JYK_2022-04-27_final.stac-item
2022-05-30 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2022-05-30_final.stac-item
2022-06-15 11:54:58	ga_s2bm_ard_3-2-1_50JMS_2022-06-15_final.stac-item
2022-06-15 11:55:19	ga_s2bm_ard_3-2-1_50JPQ_2022-06-15_final.stac-item
2022-07-22 11:44:32	ga_s2bm_ard_3-2-1_51JUN_2022-07-22_final.stac-item
2022-07-22 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2022-07-22_final.stac-item
2022-08-28 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-08-28_final.stac-item
2022-09-11 11:14:40	ga_s2bm_ard_3-2-1_51JZM_2022-09-11_final.stac-item
2022-10-01 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2022-10-01_final.stac-item
2022-10-24 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2022-10-24_final.stac-item
2022-10-30 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2022-10-30_final.stac-item
2022-11-13 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-11-13_final.stac-item
2023-01-15 11:36:01	ga_s2bm_ard_3-2-1_50JQM_2023-01-15_final.stac-item
2023-01-19 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2023-01-19_final.stac-item
2023-04-09 12:51:02	ga_s2bm_ard_3-2-1_48LWP_2023-04-09_final
2023-04-25 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2023-04-25_final
2023-05-02 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-05-02_final
2023-06-24 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2023-06-24_final
2023-08-03 11:35:46	ga_s2bm_ard_3-2-1_51JVH_2023-08-03_final
2023-08-16 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-08-16_final
2023-11-04 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-11-04_final
2023-11-11 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2023-11-11_final
2023-11-11 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2023-11-11_final
2023-11-15 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2023-11-15_final
2024-01-03 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-01-03_final
2024-01-23 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2024-01-23_final
2024-01-30 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2024-01-30_final
2024-02-23 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2024-02-23_final
2024-02-25 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2024-02-25_final
2024-03-10 11:34:24	ga_s2bm_ard_3-2-1_51JVN_2024-03-10_final
2024-03-13 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2024-03-13_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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