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_50KRD_2017-10-26_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KWB_2017-11-05_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWU_2017-11-22_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KWR_2017-12-02_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVU_2017-12-22_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KVS_2017-12-25_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KNB_2018-01-17_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_50KKB_2018-01-23_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HXD_2018-02-07_final.stac-item
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KXR_2018-03-12_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KVR_2018-04-01_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWV_2018-05-01_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMH_2018-05-24_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KWP_2018-07-10_final.stac-item
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXQ_2018-07-20_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVS_2018-10-18_final.stac-item
2018-11-07 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2018-11-07_final.stac-item
2018-11-24 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2018-11-24_final.stac-item
2018-11-27 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2018-11-27_final.stac-item
2018-11-27 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2018-11-27_final.stac-item
2018-11-30 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2018-11-30_final.stac-item
2019-01-13 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2019-01-13_final.stac-item
2019-02-08 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2019-02-08_final.stac-item
2019-05-19 11:43:09	ga_s2bm_ard_3-2-1_51KUU_2019-05-19_final.stac-item
2019-05-25 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-25_final.stac-item
2019-07-18 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-07-18_final.stac-item
2019-07-28 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2019-07-28_final.stac-item
2019-09-30 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2019-09-30_final.stac-item
2019-10-19 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2019-10-19_final.stac-item
2019-11-01 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-11-01_final.stac-item
2019-12-16 11:15:19	ga_s2bm_ard_3-2-1_51JYJ_2019-12-16_final.stac-item
2020-01-07 11:53:26	ga_s2bm_ard_3-2-1_50KQB_2020-01-07_final.stac-item
2020-01-11 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2020-01-11_final.stac-item
2020-01-24 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2020-01-24_final.stac-item
2020-04-07 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2020-04-07_final.stac-item
2020-04-19 12:03:22	ga_s2bm_ard_3-2-1_50KLC_2020-04-19_final.stac-item
2020-05-17 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2020-05-17_final.stac-item
2020-05-23 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2020-05-23_final.stac-item
2020-06-02 11:44:47	ga_s2bm_ard_3-2-1_50JRS_2020-06-02_final.stac-item
2020-06-25 11:54:55	ga_s2bm_ard_3-2-1_50JPS_2020-06-25_final.stac-item
2020-06-26 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2020-06-26_final.stac-item
2020-09-14 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2020-09-14_final.stac-item
2020-09-16 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2020-09-16_final.stac-item
2020-09-26 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-09-26_final.stac-item
2020-10-07 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2020-10-07_final.stac-item
2020-11-09 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2020-11-09_final.stac-item
2020-11-16 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2020-11-16_final.stac-item
2020-11-19 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2020-11-19_final.stac-item
2020-12-30 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2020-12-30_final.stac-item
2021-02-04 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2021-02-04_final.stac-item
2021-02-07 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-02-07_final.stac-item
2021-03-29 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-03-29_final.stac-item
2021-04-18 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2021-04-18_final.stac-item
2021-05-28 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2021-05-28_final.stac-item
2021-06-03 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-03_final.stac-item
2021-06-24 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2021-06-24_final.stac-item
2021-07-27 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2021-07-27_final.stac-item
2021-07-30 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2021-07-30_final.stac-item
2021-08-13 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-08-13_final
2021-08-16 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2021-08-16_final.stac-item
2021-08-20 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-08-20_final.stac-item
2021-08-29 11:56:20	ga_s2bm_ard_3-2-1_50JML_2021-08-29_final.stac-item
2021-09-02 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2021-09-02_final.stac-item
2021-09-05 11:42:13	ga_s2bm_ard_3-2-1_51KUB_2021-09-05_final
2021-09-05 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2021-09-05_final.stac-item
2021-09-25 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2021-09-25_final.stac-item
2021-10-22 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2021-10-22_final.stac-item
2021-12-07 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2021-12-07_final.stac-item
2021-12-11 11:36:21	ga_s2bm_ard_3-2-1_50JPL_2021-12-11_final.stac-item
2021-12-28 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2021-12-28_final.stac-item
2022-01-27 11:24:13	ga_s2bm_ard_3-2-1_51JZN_2022-01-27_final.stac-item
2022-02-12 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2022-02-12_final.stac-item
2022-03-14 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-03-14_final.stac-item
2022-04-10 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2022-04-10_final.stac-item
2022-05-03 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-05-03_final.stac-item
2022-05-13 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2022-05-13_final.stac-item
2022-09-11 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2022-09-11_final.stac-item
2022-09-17 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2022-09-17_final.stac-item
2022-10-06 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2022-10-06_final.stac-item
2022-10-11 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2022-10-11_final.stac-item
2022-11-19 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2022-11-19_final.stac-item
2023-01-25 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-01-25_final.stac-item
2023-04-08 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2023-04-08_final
2023-05-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-05-07_final
2023-05-15 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2023-05-15_final
2023-05-28 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-05-28_final
2023-06-04 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-06-04_final
2023-07-27 11:42:48	ga_s2bm_ard_3-2-1_51KVV_2023-07-27_final
2023-08-03 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-08-03_final
2023-10-12 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2023-10-12_final
2023-10-25 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2023-10-25_final
2023-12-01 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2023-12-01_final
2023-12-08 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2023-12-08_final
2024-01-03 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2024-01-03_final
2024-02-15 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2024-02-15_final
2024-03-30 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2024-03-30_final
2024-04-16 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2024-04-16_final
2024-05-08 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2024-05-08_final
2024-05-12 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-05-12_interim
2024-05-12 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-05-12_interim

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