Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JLT_2017-08-13_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KVB_2017-10-13_final
2017-10-30 11:25:33	ga_s2bm_ard_3-2-1_51HXD_2017-10-30_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KTU_2017-11-25_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50KQC_2018-01-14_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KVV_2018-01-21_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51JUG_2018-02-10_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNG_2018-03-05_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGM_2018-03-24_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KVU_2018-04-01_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KQG_2018-07-06_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50KNC_2018-07-09_final
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51KXR_2018-08-26_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51KYA_2018-09-05_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HTD_2018-09-18_final
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_52KBA_2018-10-25_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KXT_2018-11-04_final
2018-12-20 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2018-12-20_final
2019-03-27 11:32:35	ga_s2bm_ard_3-2-1_51KVA_2019-03-27_final
2019-04-02 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2019-04-02_final.stac-item
2019-04-10 11:13:18	ga_s2bm_ard_3-2-1_52KCB_2019-04-10_final
2019-05-23 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2019-05-23_final
2019-05-23 11:23:59	ga_s2bm_ard_3-2-1_52KBV_2019-05-23_final
2019-05-29 11:41:06	ga_s2bm_ard_3-2-1_51LWG_2019-05-29_final.stac-item
2019-05-29 11:42:04	ga_s2bm_ard_3-2-1_51LWC_2019-05-29_final
2019-07-18 11:42:36	ga_s2bm_ard_3-2-1_51KVA_2019-07-18_final
2019-07-22 11:22:57	ga_s2bm_ard_3-2-1_52KCD_2019-07-22_final
2019-08-30 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2019-08-30_final
2019-10-09 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2019-10-09_final
2019-10-26 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2019-10-26_final
2019-11-21 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2019-11-21_final
2019-11-22 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2019-11-22_final
2020-01-24 11:42:53	ga_s2bm_ard_3-2-1_51KUU_2020-01-24_final
2020-02-14 11:13:35	ga_s2bm_ard_3-2-1_52KBA_2020-02-14_final
2020-03-07 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2020-03-07_final
2020-03-28 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2020-03-28_final.stac-item
2020-04-03 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2020-04-03_final
2020-04-14 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2020-04-14_final
2020-04-23 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2020-04-23_final
2020-05-04 11:15:15	ga_s2bm_ard_3-2-1_52JCP_2020-05-04_final
2020-05-26 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2020-05-26_final
2020-06-12 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2020-06-12_final
2020-06-25 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2020-06-25_final
2020-07-06 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2020-07-06_final
2020-07-16 11:23:17	ga_s2bm_ard_3-2-1_52KCB_2020-07-16_final
2020-09-14 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2020-09-14_final
2020-10-20 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2020-10-20_final
2020-11-23 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2020-11-23_final
2020-11-27 11:04:43	ga_s2bm_ard_3-2-1_52JFR_2020-11-27_final
2020-12-03 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2020-12-03_final
2021-01-08 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2021-01-08_final
2021-01-11 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2021-01-11_final
2021-02-23 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2021-02-23_final
2021-03-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-03-15_final
2021-03-16 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-03-16_final
2021-04-05 11:32:43	ga_s2bm_ard_3-2-1_51KXV_2021-04-05_final
2021-04-15 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2021-04-15_final
2021-05-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-05-08_final
2021-07-08 11:14:11	ga_s2bm_ard_3-2-1_51KZP_2021-07-08_final
2021-07-16 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2021-07-16_final
2021-07-30 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2021-07-30_final.stac-item
2021-08-25 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2021-08-25_final
2021-09-06 11:15:15	ga_s2bm_ard_3-2-1_52JCP_2021-09-06_final
2021-12-08 11:24:21	ga_s2bm_ard_3-2-1_51JXN_2021-12-08_final
2021-12-09 10:55:38	ga_s2bm_ard_3-2-1_52JGM_2021-12-09_final
2021-12-18 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2021-12-18_final
2022-01-04 11:14:34	ga_s2bm_ard_3-2-1_52JBS_2022-01-04_final
2022-02-12 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-02-12_final
2022-03-21 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2022-03-21_final
2022-03-28 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2022-03-28_final
2022-04-03 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2022-04-03_final
2022-07-26 11:24:09	ga_s2bm_ard_3-2-1_51KZP_2022-07-26_final
2022-08-16 10:55:59	ga_s2bm_ard_3-2-1_52JGL_2022-08-16_final
2022-09-01 11:15:19	ga_s2bm_ard_3-2-1_52JCP_2022-09-01_final.stac-item
2022-09-14 11:22:39	ga_s2bm_ard_3-2-1_52KBE_2022-09-14_final.stac-item
2022-09-14 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2022-09-14_final.stac-item
2022-10-23 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2022-10-23_final.stac-item
2022-12-03 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2022-12-03_final.stac-item
2022-12-26 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2022-12-26_final.stac-item
2022-12-29 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2022-12-29_final.stac-item
2023-04-13 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2023-04-13_final.stac-item
2023-04-15 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-04-15_final.stac-item
2023-05-28 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-05-28_final.stac-item
2023-05-29 11:13:26	ga_s2bm_ard_3-2-1_52KCB_2023-05-29_final.stac-item
2023-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-06-04_final.stac-item
2023-06-08 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2023-06-08_final.stac-item
2023-07-21 11:24:17	ga_s2bm_ard_3-2-1_51KXP_2023-07-21_final.stac-item
2023-08-22 12:04:32	ga_s2bm_ard_3-2-1_50KKU_2023-08-22_final.stac-item
2023-09-12 11:34:06	ga_s2bm_ard_3-2-1_51KUQ_2023-09-12_final.stac-item
2023-10-02 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2023-10-02_final.stac-item
2023-12-10 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2023-12-10_final.stac-item
2023-12-21 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2023-12-21_final.stac-item
2024-01-04 11:13:15	ga_s2bm_ard_3-2-1_52KCC_2024-01-04_final.stac-item
2024-02-05 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-02-05_final.stac-item
2024-02-22 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2024-02-22_final.stac-item
2024-03-06 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2024-03-06_final.stac-item
2024-03-23 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2024-03-23_final.stac-item
2024-03-29 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2024-03-29_final.stac-item
2024-04-16 11:23:17	ga_s2bm_ard_3-2-1_52KCB_2024-04-16_final.stac-item
2024-04-29 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2024-04-29_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years