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
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52JFL_2017-11-30_final.stac-item
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51HXD_2018-02-04_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JVG_2018-02-20_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51LZE_2018-02-20_final.stac-item
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_53JLK_2018-04-26_final.stac-item
2018-05-12 11:06:04	ga_s2bm_ard_3-2-1_52JBL_2018-05-12_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KWT_2018-07-30_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51LVC_2018-08-02_final.stac-item
2018-11-10 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2018-11-10_final.stac-item
2018-11-25 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2018-11-25_final.stac-item
2018-12-09 10:36:04	ga_s2bm_ard_3-2-1_53HME_2018-12-09_final.stac-item
2019-01-20 11:13:00	ga_s2bm_ard_3-2-1_52KEC_2019-01-20_final.stac-item
2019-03-20 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2019-03-20_final.stac-item
2019-03-21 11:15:50	ga_s2bm_ard_3-2-1_52JBM_2019-03-21_final.stac-item
2019-03-22 10:44:02	ga_s2bm_ard_3-2-1_53JPN_2019-03-22_final.stac-item
2019-05-18 10:34:45	ga_s2bm_ard_3-2-1_53JPL_2019-05-18_final.stac-item
2019-05-18 10:36:37	ga_s2bm_ard_3-2-1_53HLD_2019-05-18_final.stac-item
2019-06-08 11:46:41	ga_s2bm_ard_3-2-1_50HPK_2019-06-08_final.stac-item
2019-08-16 10:36:13	ga_s2bm_ard_3-2-1_53HNE_2019-08-16_final.stac-item
2019-09-21 10:55:59	ga_s2bm_ard_3-2-1_52JFL_2019-09-21_final.stac-item
2019-11-29 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2019-11-29_final.stac-item
2020-01-25 11:11:09	ga_s2bm_ard_3-2-1_52LFK_2020-01-25_final.stac-item
2020-02-02 10:36:39	ga_s2bm_ard_3-2-1_53HPB_2020-02-02_final.stac-item
2020-04-03 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2020-04-03_final.stac-item
2020-04-07 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2020-04-07_final.stac-item
2020-04-27 11:24:25	ga_s2bm_ard_3-2-1_51JWN_2020-04-27_final.stac-item
2020-06-12 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2020-06-12_final.stac-item
2020-07-13 11:15:52	ga_s2bm_ard_3-2-1_52JBM_2020-07-13_final.stac-item
2020-07-18 10:26:19	ga_s2bm_ard_3-2-1_53HQD_2020-07-18_final.stac-item
2020-09-17 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2020-09-17_final.stac-item
2020-09-21 11:16:08	ga_s2bm_ard_3-2-1_52JBL_2020-09-21_final.stac-item
2020-11-15 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2020-11-15_final.stac-item
2020-11-18 10:36:47	ga_s2bm_ard_3-2-1_53HPB_2020-11-18_final.stac-item
2020-11-23 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2020-11-23_final.stac-item
2021-01-27 10:34:07	ga_s2bm_ard_3-2-1_53JPN_2021-01-27_final.stac-item
2021-01-29 11:14:09	ga_s2bm_ard_3-2-1_52KBU_2021-01-29_final.stac-item
2021-02-05 11:04:03	ga_s2bm_ard_3-2-1_52KEU_2021-02-05_final.stac-item
2021-03-21 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2021-03-21_final.stac-item
2021-03-25 10:26:31	ga_s2bm_ard_3-2-1_53HQC_2021-03-25_final.stac-item
2021-04-14 10:26:50	ga_s2bm_ard_3-2-1_53HNB_2021-04-14_final.stac-item
2021-04-16 11:06:06	ga_s2bm_ard_3-2-1_52JBL_2021-04-16_final.stac-item
2021-04-18 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2021-04-18_final.stac-item
2021-05-31 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-05-31_final.stac-item
2021-06-08 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2021-06-08_final.stac-item
2021-06-17 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-06-17_final.stac-item
2021-06-21 11:26:18	ga_s2bm_ard_3-2-1_51JUF_2021-06-21_final.stac-item
2021-06-29 10:44:22	ga_s2bm_ard_3-2-1_53JNM_2021-06-29_final.stac-item
2021-07-17 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2021-07-17_final.stac-item
2021-08-28 10:46:18	ga_s2bm_ard_3-2-1_53HMD_2021-08-28_final.stac-item
2021-10-02 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2021-10-02_final.stac-item
2021-10-19 11:26:27	ga_s2bm_ard_3-2-1_51HWE_2021-10-19_final.stac-item
2021-11-05 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2021-11-05_final.stac-item
2021-11-06 10:45:44	ga_s2bm_ard_3-2-1_53JKG_2021-11-06_final.stac-item
2021-12-21 11:35:57	ga_s2bm_ard_3-2-1_51JTG_2021-12-21_final.stac-item
2021-12-27 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-12-27_final.stac-item
2022-01-20 11:33:37	ga_s2bm_ard_3-2-1_51KWR_2022-01-20_final.stac-item
2022-01-31 11:04:30	ga_s2bm_ard_3-2-1_52JDS_2022-01-31_final.stac-item
2022-02-01 10:34:45	ga_s2bm_ard_3-2-1_53JPK_2022-02-01_final.stac-item
2022-02-01 10:34:59	ga_s2bm_ard_3-2-1_53JPJ_2022-02-01_final.stac-item
2022-03-01 11:32:18	ga_s2bm_ard_3-2-1_51KYA_2022-03-01_final.stac-item
2022-03-21 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2022-03-21_final.stac-item
2022-04-27 11:25:03	ga_s2bm_ard_3-2-1_51JXK_2022-04-27_final.stac-item
2022-05-01 11:03:43	ga_s2bm_ard_3-2-1_52KEV_2022-05-01_final.stac-item
2022-05-26 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2022-05-26_final.stac-item
2022-06-09 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2022-06-09_final.stac-item
2022-06-09 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2022-06-09_final.stac-item
2022-06-10 11:03:07	ga_s2bm_ard_3-2-1_52KEC_2022-06-10_final.stac-item
2022-06-19 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2022-06-19_final.stac-item
2022-06-19 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2022-06-19_final.stac-item
2022-07-03 11:13:18	ga_s2bm_ard_3-2-1_52KBC_2022-07-03_final.stac-item
2022-07-22 11:43:20	ga_s2bm_ard_3-2-1_51KUT_2022-07-22_final.stac-item
2022-07-29 11:35:38	ga_s2bm_ard_3-2-1_51JTJ_2022-07-29_final.stac-item
2022-08-12 11:15:36	ga_s2bm_ard_3-2-1_52JCN_2022-08-12_final.stac-item
2022-09-20 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2022-09-20_final.stac-item
2022-10-01 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2022-10-01_final.stac-item
2022-10-12 10:45:06	ga_s2bm_ard_3-2-1_53JMJ_2022-10-12_final.stac-item
2022-11-27 11:02:32	ga_s2bm_ard_3-2-1_52KFE_2022-11-27_final.stac-item
2023-01-29 11:12:33	ga_s2bm_ard_3-2-1_52KDE_2023-01-29_final.stac-item
2023-01-30 10:45:20	ga_s2bm_ard_3-2-1_53JMH_2023-01-30_final.stac-item
2023-02-03 10:25:46	ga_s2bm_ard_3-2-1_53JQF_2023-02-03_final.stac-item
2023-03-12 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-03-12_final
2023-03-26 11:35:18	ga_s2bm_ard_3-2-1_51JUK_2023-03-26_final
2023-04-01 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2023-04-01_final
2023-05-27 10:35:49	ga_s2bm_ard_3-2-1_53JQF_2023-05-27_final
2023-05-28 11:44:14	ga_s2bm_ard_3-2-1_50KPV_2023-05-28_final
2023-09-23 11:05:42	ga_s2bm_ard_3-2-1_52JFM_2023-09-23_final
2023-10-11 10:26:55	ga_s2bm_ard_3-2-1_53HNB_2023-10-11_final
2023-11-28 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2023-11-28_final
2023-12-16 10:44:02	ga_s2bm_ard_3-2-1_53JPN_2023-12-16_final
2023-12-28 11:26:27	ga_s2bm_ard_3-2-1_51HWE_2023-12-28_final
2024-02-16 11:21:10	ga_s2bm_ard_3-2-1_52LBL_2024-02-16_nrt
2024-03-10 11:35:40	ga_s2bm_ard_3-2-1_51JUH_2024-03-10_final
2024-03-13 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2024-03-13_final
2024-03-20 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2024-03-20_final
2024-03-24 11:12:18	ga_s2bm_ard_3-2-1_52KEF_2024-03-24_final
2024-03-27 11:26:13	ga_s2bm_ard_3-2-1_51JXF_2024-03-27_final
2024-04-11 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2024-04-11_final
2024-04-17 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2024-04-17_final
2024-04-29 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2024-04-29_final
2024-05-29 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2024-05-29_nrt

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

All years