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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNK_2017-08-07_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JNP_2018-01-14_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50JQL_2018-02-20_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JKM_2018-03-08_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51HVE_2018-03-22_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KRC_2018-06-06_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JNL_2018-06-26_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JWJ_2018-07-07_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HPH_2018-09-18_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HUE_2018-10-05_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JKM_2018-10-07_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51LWC_2018-10-11_final.stac-item
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HUE_2018-10-15_final.stac-item
2018-11-10 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2018-11-10_final.stac-item
2018-11-14 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2018-11-14_final.stac-item
2018-12-23 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2018-12-23_final.stac-item
2018-12-27 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2018-12-27_final.stac-item
2019-02-22 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2019-02-22_final.stac-item
2019-03-13 11:54:23	ga_s2bm_ard_3-2-1_50KMU_2019-03-13_final.stac-item
2019-03-17 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2019-03-17_final.stac-item
2019-06-15 11:32:40	ga_s2bm_ard_3-2-1_51KVA_2019-06-15_final.stac-item
2019-07-04 12:05:35	ga_s2bm_ard_3-2-1_50JKQ_2019-07-04_final.stac-item
2019-07-04 12:06:00	ga_s2bm_ard_3-2-1_50JLN_2019-07-04_final.stac-item
2019-07-25 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-07-25_final.stac-item
2019-11-02 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2019-11-02_final.stac-item
2019-12-01 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2019-12-01_final.stac-item
2020-01-08 11:23:44	ga_s2bm_ard_3-2-1_51KZQ_2020-01-08_final.stac-item
2020-01-11 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2020-01-11_final.stac-item
2020-02-20 11:35:26	ga_s2bm_ard_3-2-1_51JUJ_2020-02-20_final.stac-item
2020-02-26 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2020-02-26_final.stac-item
2020-03-31 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2020-03-31_final.stac-item
2020-04-13 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2020-04-13_final.stac-item
2020-04-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2020-04-19_final.stac-item
2020-05-20 11:32:41	ga_s2bm_ard_3-2-1_51KWV_2020-05-20_final.stac-item
2020-06-06 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2020-06-06_final.stac-item
2020-07-02 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2020-07-02_final.stac-item
2020-08-01 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2020-08-01_final.stac-item
2020-08-11 11:45:48	ga_s2bm_ard_3-2-1_50JNP_2020-08-11_final.stac-item
2020-08-17 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-08-17_final.stac-item
2020-08-22 11:15:57	ga_s2bm_ard_3-2-1_51JYG_2020-08-22_final.stac-item
2020-09-07 11:35:36	ga_s2bm_ard_3-2-1_51JTJ_2020-09-07_final.stac-item
2020-09-07 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2020-09-07_final.stac-item
2020-10-09 12:15:23	ga_s2bm_ard_3-2-1_49JGK_2020-10-09_final.stac-item
2020-10-21 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2020-10-21_final.stac-item
2020-11-10 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2020-11-10_final.stac-item
2020-11-26 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2020-11-26_final.stac-item
2021-01-15 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2021-01-15_final.stac-item
2021-01-27 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-01-27_final.stac-item
2021-02-13 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-02-13_final.stac-item
2021-02-18 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2021-02-18_final.stac-item
2021-03-13 11:25:59	ga_s2bm_ard_3-2-1_51JVG_2021-03-13_final.stac-item
2021-04-12 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2021-04-12_final.stac-item
2021-04-18 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2021-04-18_final.stac-item
2021-06-04 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2021-06-04_final.stac-item
2021-06-21 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2021-06-21_final.stac-item
2021-07-04 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2021-07-04_final.stac-item
2021-08-03 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-08-03_final.stac-item
2021-08-09 11:53:58	ga_s2bm_ard_3-2-1_50KMA_2021-08-09_final.stac-item
2021-09-09 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2021-09-09_final.stac-item
2021-10-09 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2021-10-09_final.stac-item
2021-10-25 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2021-10-25_final.stac-item
2021-11-25 11:15:49	ga_s2bm_ard_3-2-1_51JYG_2021-11-25_final.stac-item
2021-12-01 11:35:37	ga_s2bm_ard_3-2-1_51JVH_2021-12-01_final.stac-item
2022-01-04 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2022-01-04_final.stac-item
2022-02-15 11:54:45	ga_s2bm_ard_3-2-1_50JNS_2022-02-15_final.stac-item
2022-02-18 12:05:37	ga_s2bm_ard_3-2-1_49JGJ_2022-02-18_final.stac-item
2022-03-05 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2022-03-05_final.stac-item
2022-04-27 11:26:40	ga_s2bm_ard_3-2-1_51HUD_2022-04-27_final.stac-item
2022-05-13 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2022-05-13_final.stac-item
2022-05-23 11:44:31	ga_s2bm_ard_3-2-1_51JTN_2022-05-23_final.stac-item
2022-05-23 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2022-05-23_final.stac-item
2022-05-27 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2022-05-27_final.stac-item
2022-05-29 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2022-05-29_final.stac-item
2022-05-30 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2022-05-30_final.stac-item
2022-06-16 11:24:08	ga_s2bm_ard_3-2-1_51KZP_2022-06-16_final.stac-item
2022-07-22 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2022-07-22_final.stac-item
2022-07-31 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-31_final.stac-item
2022-08-15 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2022-08-15_final.stac-item
2022-10-01 11:16:30	ga_s2bm_ard_3-2-1_51HWE_2022-10-01_final.stac-item
2022-10-03 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2022-10-03_final.stac-item
2022-11-13 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2022-11-13_final.stac-item
2023-01-05 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2023-01-05_final.stac-item
2023-03-28 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-03-28_final
2023-03-30 11:16:11	ga_s2bm_ard_3-2-1_51JYF_2023-03-30_final
2023-06-17 11:43:56	ga_s2bm_ard_3-2-1_50KQA_2023-06-17_final
2023-06-20 11:57:19	ga_s2bm_ard_3-2-1_49HGC_2023-06-20_nrt
2023-07-14 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-07-14_final
2023-07-30 11:55:55	ga_s2bm_ard_3-2-1_50JNN_2023-07-30_final
2023-08-12 12:06:10	ga_s2bm_ard_3-2-1_50JLM_2023-08-12_final
2023-08-13 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2023-08-13_final
2023-08-16 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-08-16_final
2023-10-02 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2023-10-02_final
2023-11-08 11:24:25	ga_s2bm_ard_3-2-1_51JYN_2023-11-08_final
2023-11-14 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2023-11-14_final
2023-11-28 11:25:53	ga_s2bm_ard_3-2-1_51JWG_2023-11-28_final
2023-12-08 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2023-12-08_final
2024-01-30 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2024-01-30_final
2024-03-10 11:34:35	ga_s2bm_ard_3-2-1_51JWM_2024-03-10_final
2024-03-10 11:35:40	ga_s2bm_ard_3-2-1_51JUH_2024-03-10_final
2024-03-13 11:41:52	ga_s2bm_ard_3-2-1_51LWC_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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