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
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HPH_2017-10-26_final.stac-item
2017-10-30 11:20:19	ga_s2bm_ard_3-2-1_51KXS_2017-10-30_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51LWC_2017-12-05_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KWR_2017-12-22_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWK_2017-12-29_final.stac-item
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JCP_2018-01-12_final.stac-item
2018-01-15 11:07:04	ga_s2bm_ard_3-2-1_52KFF_2018-01-15_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JYJ_2018-02-17_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWT_2018-02-20_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51LVC_2018-04-04_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWS_2018-06-10_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50KMA_2018-06-19_final.stac-item
2018-07-11 10:57:36	ga_s2bm_ard_3-2-1_52KEB_2018-07-11_final.stac-item
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KXT_2018-09-08_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KVR_2018-09-28_final.stac-item
2018-11-19 12:14:04	ga_s2bm_ard_3-2-1_50KKV_2018-11-19_final.stac-item
2018-11-29 10:36:24	ga_s2bm_ard_3-2-1_53HLD_2018-11-29_final.stac-item
2018-12-23 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2018-12-23_final.stac-item
2019-02-05 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2019-02-05_final.stac-item
2019-04-06 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2019-04-06_final.stac-item
2019-05-09 11:43:26	ga_s2bm_ard_3-2-1_51KTT_2019-05-09_final.stac-item
2019-05-22 11:56:22	ga_s2bm_ard_3-2-1_50JKM_2019-05-22_final.stac-item
2019-05-23 11:26:56	ga_s2bm_ard_3-2-1_51HUD_2019-05-23_final.stac-item
2019-07-22 11:23:51	ga_s2bm_ard_3-2-1_51KXR_2019-07-22_final.stac-item
2019-08-01 11:23:24	ga_s2bm_ard_3-2-1_52KCB_2019-08-01_final.stac-item
2019-08-14 11:33:05	ga_s2bm_ard_3-2-1_51KWU_2019-08-14_final.stac-item
2019-08-18 11:13:21	ga_s2bm_ard_3-2-1_52KEB_2019-08-18_final.stac-item
2019-10-20 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2019-10-20_final.stac-item
2019-10-23 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2019-10-23_final.stac-item
2019-11-06 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2019-11-06_final.stac-item
2019-12-26 11:13:14	ga_s2bm_ard_3-2-1_52KDB_2019-12-26_final.stac-item
2020-01-21 11:33:32	ga_s2bm_ard_3-2-1_51KXR_2020-01-21_final.stac-item
2020-02-13 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2020-02-13_final.stac-item
2020-02-27 11:23:35	ga_s2bm_ard_3-2-1_52KBA_2020-02-27_final.stac-item
2020-03-11 11:32:48	ga_s2bm_ard_3-2-1_51KYU_2020-03-11_final.stac-item
2020-04-11 11:00:53	ga_s2bm_ard_3-2-1_52LGL_2020-04-11_final.stac-item
2020-05-21 11:02:12	ga_s2bm_ard_3-2-1_52KHF_2020-05-21_final.stac-item
2020-05-24 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2020-05-24_final.stac-item
2020-06-28 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2020-06-28_final.stac-item
2020-07-13 11:10:34	ga_s2bm_ard_3-2-1_52LFN_2020-07-13_final
2020-08-15 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2020-08-15_final.stac-item
2020-09-26 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2020-09-26_final.stac-item
2020-10-07 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2020-10-07_final.stac-item
2020-10-27 11:33:05	ga_s2bm_ard_3-2-1_51KVU_2020-10-27_final.stac-item
2020-11-03 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2020-11-03_final.stac-item
2020-11-03 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2020-11-03_final.stac-item
2020-11-29 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2020-11-29_final.stac-item
2020-12-09 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-12-09_final.stac-item
2020-12-10 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2020-12-10_final.stac-item
2021-01-22 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2021-01-22_final.stac-item
2021-01-29 11:11:26	ga_s2bm_ard_3-2-1_52LGJ_2021-01-29_final.stac-item
2021-02-04 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2021-02-04_final.stac-item
2021-02-13 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2021-02-13_final.stac-item
2021-03-24 10:52:44	ga_s2bm_ard_3-2-1_52KHD_2021-03-24_final.stac-item
2021-05-05 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2021-05-05_final.stac-item
2021-05-23 10:56:04	ga_s2bm_ard_3-2-1_52JEL_2021-05-23_final.stac-item
2021-08-20 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2021-08-20_final.stac-item
2021-09-19 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2021-09-19_final.stac-item
2021-09-19 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2021-09-19_final.stac-item
2021-10-22 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-10-22_final.stac-item
2021-11-08 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2021-11-08_final.stac-item
2021-12-15 11:13:13	ga_s2bm_ard_3-2-1_52KDB_2021-12-15_final.stac-item
2022-02-12 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2022-02-12_final.stac-item
2022-03-18 11:22:25	ga_s2bm_ard_3-2-1_51KYA_2022-03-18_final.stac-item
2022-03-27 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2022-03-27_final.stac-item
2022-03-28 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2022-03-28_final.stac-item
2022-03-28 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2022-03-28_final.stac-item
2022-04-17 11:23:02	ga_s2bm_ard_3-2-1_52KBC_2022-04-17_final.stac-item
2022-05-30 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2022-05-30_final.stac-item
2022-06-10 11:06:08	ga_s2bm_ard_3-2-1_52JCL_2022-06-10_final.stac-item
2022-06-18 12:03:24	ga_s2bm_ard_3-2-1_50KNC_2022-06-18_final.stac-item
2022-08-08 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2022-08-08_final.stac-item
2022-09-07 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2022-09-07_final.stac-item
2022-09-11 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2022-09-11_final.stac-item
2022-11-29 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-11-29_final.stac-item
2022-12-03 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2022-12-03_final.stac-item
2022-12-19 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-12-19_final.stac-item
2022-12-20 11:12:27	ga_s2bm_ard_3-2-1_52KFE_2022-12-20_final.stac-item
2022-12-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-12-26_final.stac-item
2023-01-08 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2023-01-08_final.stac-item
2023-01-12 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2023-01-12_final.stac-item
2023-03-10 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2023-03-10_final
2023-04-22 11:21:26	ga_s2bm_ard_3-2-1_52LBK_2023-04-22_final
2023-05-08 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2023-05-08_final
2023-06-06 12:15:23	ga_s2bm_ard_3-2-1_49JGK_2023-06-06_final
2023-06-08 11:13:30	ga_s2bm_ard_3-2-1_52KBB_2023-06-08_final
2023-06-18 11:15:26	ga_s2bm_ard_3-2-1_52JBP_2023-06-18_final
2023-06-21 11:22:45	ga_s2bm_ard_3-2-1_51KYV_2023-06-21_final
2023-06-27 11:45:22	ga_s2bm_ard_3-2-1_50JQQ_2023-06-27_final
2023-07-07 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-07-07_final
2023-07-26 12:14:13	ga_s2bm_ard_3-2-1_50KKV_2023-07-26_final
2023-08-27 11:13:49	ga_s2bm_ard_3-2-1_52KEV_2023-08-27_final
2023-09-12 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2023-09-12_final
2023-10-26 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2023-10-26_nrt
2023-11-04 11:45:49	ga_s2bm_ard_3-2-1_50JQN_2023-11-04_final
2023-12-20 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2023-12-20_final
2024-01-17 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2024-01-17_final
2024-01-20 11:31:05	ga_s2bm_ard_3-2-1_51LZF_2024-01-20_nrt
2024-01-24 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2024-01-24_final
2024-02-07 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2024-02-07_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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