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
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JML_2017-08-30_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KUV_2017-10-06_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HUD_2017-11-19_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50KRD_2017-12-05_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUU_2017-12-05_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KTU_2017-12-25_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWR_2018-01-01_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KWT_2018-01-21_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KXQ_2018-01-28_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_50KKA_2018-02-12_final.stac-item
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51KYT_2018-03-09_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KVS_2018-03-15_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51KZQ_2018-03-26_final.stac-item
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HUC_2018-04-08_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KYS_2018-05-08_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVU_2018-05-31_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HPH_2018-06-10_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KXQ_2018-06-27_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KVQ_2018-07-10_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KXU_2018-07-30_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KVV_2018-08-22_final.stac-item
2018-11-10 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2018-11-10_final.stac-item
2018-11-30 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2018-11-30_final.stac-item
2018-12-10 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2018-12-10_final.stac-item
2018-12-20 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2018-12-20_final.stac-item
2018-12-20 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2018-12-20_final.stac-item
2019-03-23 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2019-03-23_final.stac-item
2019-06-08 11:44:21	ga_s2bm_ard_3-2-1_51KUP_2019-06-08_final.stac-item
2019-06-28 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-28_final.stac-item
2019-07-05 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2019-07-05_final.stac-item
2019-09-02 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-09-02_final.stac-item
2019-11-05 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2019-11-05_final.stac-item
2019-11-19 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2019-11-19_final.stac-item
2019-11-25 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2019-11-25_final.stac-item
2019-11-25 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2019-11-25_final.stac-item
2019-12-19 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2019-12-19_final.stac-item
2019-12-29 11:22:55	ga_s2bm_ard_3-2-1_51KXU_2019-12-29_final.stac-item
2020-01-11 11:32:45	ga_s2bm_ard_3-2-1_51KYU_2020-01-11_final.stac-item
2020-01-18 11:24:26	ga_s2bm_ard_3-2-1_51JZM_2020-01-18_final.stac-item
2020-04-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2020-04-09_final.stac-item
2020-04-27 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2020-04-27_final.stac-item
2020-05-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2020-05-20_final.stac-item
2020-06-05 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2020-06-05_final.stac-item
2020-06-16 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2020-06-16_final.stac-item
2020-06-19 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-06-19_final.stac-item
2020-06-29 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-06-29_final.stac-item
2020-09-07 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-09-07_final.stac-item
2020-11-03 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-11-03_final.stac-item
2020-11-16 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2020-11-16_final.stac-item
2020-12-06 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2020-12-06_final.stac-item
2020-12-30 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2020-12-30_final.stac-item
2021-01-28 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-01-28_final.stac-item
2021-03-12 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-03-12_final.stac-item
2021-03-29 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2021-03-29_final.stac-item
2021-03-29 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-03-29_final.stac-item
2021-04-14 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2021-04-14_final.stac-item
2021-05-22 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2021-05-22_final.stac-item
2021-07-31 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2021-07-31_final.stac-item
2021-09-15 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2021-09-15_final.stac-item
2021-09-22 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2021-09-22_final.stac-item
2021-10-16 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2021-10-16_final.stac-item
2021-11-14 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-11-14_final.stac-item
2021-11-21 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2021-11-21_final.stac-item
2021-12-11 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2021-12-11_final.stac-item
2022-02-02 11:43:30	ga_s2bm_ard_3-2-1_50KQB_2022-02-02_final.stac-item
2022-03-24 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2022-03-24_final.stac-item
2022-06-06 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2022-06-06_final.stac-item
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final.stac-item
2022-06-29 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2022-06-29_final.stac-item
2022-07-12 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2022-07-12_final.stac-item
2022-07-12 11:45:44	ga_s2bm_ard_3-2-1_50JNP_2022-07-12_final.stac-item
2022-08-27 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2022-08-27_final.stac-item
2022-09-17 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2022-09-17_final.stac-item
2022-10-07 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2022-10-07_final.stac-item
2022-11-02 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-11-02_final.stac-item
2022-12-16 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2022-12-16_final.stac-item
2023-01-15 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2023-01-15_final.stac-item
2023-02-01 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2023-02-01_final.stac-item
2023-02-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-02-23_final
2023-03-09 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2023-03-09_final
2023-03-30 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2023-03-30_final
2023-04-05 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-04-05_final
2023-04-15 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-04-15_final
2023-04-25 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2023-04-25_final
2023-04-28 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2023-04-28_final
2023-05-02 11:26:10	ga_s2bm_ard_3-2-1_51JXF_2023-05-02_final
2023-05-24 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-05-24_final
2023-06-03 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-06-03_final
2023-07-17 11:42:19	ga_s2bm_ard_3-2-1_51KVB_2023-07-17_final
2023-09-14 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-09-14_final
2023-10-04 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2023-10-04_final
2023-10-12 11:32:46	ga_s2bm_ard_3-2-1_51KWV_2023-10-12_final
2023-11-21 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2023-11-21_final
2023-12-01 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2023-12-01_final
2024-01-10 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2024-01-10_final
2024-04-02 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2024-04-02_final
2024-05-02 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2024-05-02_final
2024-05-02 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-05-02_final
2024-05-06 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2024-05-06_final
2024-05-22 11:43:11	ga_s2bm_ard_3-2-1_50KRC_2024-05-22_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