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
2017-08-20 11:56:30	ga_s2bm_ard_3-2-1_50HLH_2017-08-20_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KVU_2017-10-26_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KVU_2017-11-15_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JQS_2017-12-05_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JZM_2017-12-19_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JPL_2018-01-14_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVA_2018-02-10_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWA_2018-03-02_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50JPL_2018-03-12_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KVV_2018-03-15_final.stac-item
2018-03-19 11:26:26	ga_s2bm_ard_3-2-1_51HUD_2018-03-19_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKP_2018-04-20_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPJ_2018-04-24_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HMJ_2018-06-03_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51KVB_2018-07-13_final.stac-item
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HVC_2018-07-27_final.stac-item
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KVR_2018-08-19_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KVS_2018-09-18_final.stac-item
2018-11-17 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2018-11-17_final.stac-item
2018-11-17 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2018-11-17_final.stac-item
2018-11-20 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2018-11-20_final.stac-item
2019-01-19 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2019-01-19_final.stac-item
2019-02-08 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-02-08_final.stac-item
2019-02-21 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2019-02-21_final.stac-item
2019-03-17 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2019-03-17_final.stac-item
2019-03-20 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2019-03-20_final.stac-item
2019-04-15 12:03:29	ga_s2bm_ard_3-2-1_50KMC_2019-04-15_final.stac-item
2019-06-15 11:33:52	ga_s2bm_ard_3-2-1_51KVR_2019-06-15_final.stac-item
2019-06-28 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-06-28_final.stac-item
2019-08-17 11:46:54	ga_s2bm_ard_3-2-1_50HPJ_2019-08-17_final.stac-item
2019-09-26 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-09-26_final.stac-item
2019-10-03 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2019-10-03_final.stac-item
2019-10-06 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2019-10-06_final.stac-item
2019-11-22 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2019-11-22_final.stac-item
2019-11-24 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2019-11-24_final.stac-item
2019-11-25 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final.stac-item
2019-12-15 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2019-12-15_final.stac-item
2020-01-24 11:44:06	ga_s2bm_ard_3-2-1_51KUP_2020-01-24_final.stac-item
2020-02-10 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2020-02-10_final.stac-item
2020-02-13 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2020-02-13_final.stac-item
2020-03-14 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-03-14_final.stac-item
2020-03-31 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2020-03-31_final.stac-item
2020-04-20 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2020-04-20_final.stac-item
2020-05-03 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2020-05-03_final.stac-item
2020-05-23 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2020-05-23_final.stac-item
2020-06-01 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2020-06-01_final.stac-item
2020-07-29 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-07-29_final.stac-item
2020-08-21 11:43:39	ga_s2bm_ard_3-2-1_51KVR_2020-08-21_final.stac-item
2020-09-07 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-09-07_final.stac-item
2020-10-17 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2020-10-17_final.stac-item
2020-10-27 11:36:37	ga_s2bm_ard_3-2-1_51HVD_2020-10-27_final.stac-item
2020-11-09 11:44:18	ga_s2bm_ard_3-2-1_51KTP_2020-11-09_final.stac-item
2020-11-09 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2020-11-09_final.stac-item
2020-11-19 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2020-11-19_final.stac-item
2020-11-29 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2020-11-29_final.stac-item
2020-12-20 11:14:37	ga_s2bm_ard_3-2-1_51JYM_2020-12-20_final.stac-item
2021-02-04 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2021-02-04_final
2021-03-29 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2021-03-29_final.stac-item
2021-06-07 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-06-07_final.stac-item
2021-06-24 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-06-24_final.stac-item
2021-06-24 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2021-06-24_final.stac-item
2021-06-27 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2021-06-27_final.stac-item
2021-07-17 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-17_final
2021-07-24 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2021-07-24_final.stac-item
2021-07-24 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-07-24_final
2021-08-07 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2021-08-07_final
2021-08-13 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-08-13_final
2021-10-05 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-10-05_final.stac-item
2021-11-11 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-11-11_final.stac-item
2021-12-11 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2021-12-11_final.stac-item
2022-01-13 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-01-13_final.stac-item
2022-01-13 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2022-01-13_final.stac-item
2022-02-12 11:42:36	ga_s2bm_ard_3-2-1_51KVV_2022-02-12_final.stac-item
2022-04-26 11:55:40	ga_s2bm_ard_3-2-1_50JKP_2022-04-26_final.stac-item
2022-09-17 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2022-09-17_final.stac-item
2022-12-19 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-12-19_final.stac-item
2022-12-19 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2022-12-19_final.stac-item
2022-12-26 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-12-26_final.stac-item
2023-01-11 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2023-01-11_final.stac-item
2023-01-15 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2023-01-15_final.stac-item
2023-03-09 11:43:55	ga_s2bm_ard_3-2-1_50KQA_2023-03-09_final
2023-03-09 11:44:27	ga_s2bm_ard_3-2-1_50KPU_2023-03-09_final
2023-04-05 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-04-05_final
2023-06-23 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2023-06-23_final
2023-07-17 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2023-07-17_final
2023-08-16 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-08-16_final
2023-10-22 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-10-22_final
2023-12-14 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2023-12-14_final
2023-12-24 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2023-12-24_final
2024-02-09 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2024-02-09_final
2024-02-12 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2024-02-12_final
2024-02-19 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2024-02-19_final
2024-03-20 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2024-03-20_final
2024-04-09 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2024-04-09_final
2024-04-09 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-04-09_final
2024-04-22 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2024-04-22_final
2024-04-22 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-04-22_final
2024-05-02 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-05-02_final
2024-05-02 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-05-02_final
2024-05-09 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2024-05-09_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

All years