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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KWQ_2017-07-05_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KUT_2017-12-02_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKN_2018-01-20_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KUQ_2018-03-05_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HPH_2018-05-24_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HMJ_2018-07-26_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51JWK_2018-09-05_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50KKA_2018-10-07_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KNB_2018-10-14_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50KKB_2018-10-17_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JKN_2018-10-27_final
2018-11-27 11:34:11	ga_s2bm_ard_3-2-1_51JXN_2018-11-27_final
2019-02-12 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2019-02-12_final
2019-04-03 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2019-04-03_final
2019-04-09 11:43:51	ga_s2bm_ard_3-2-1_51KTR_2019-04-09_final
2019-04-19 11:41:24	ga_s2bm_ard_3-2-1_51LUF_2019-04-19_final
2019-04-23 11:23:17	ga_s2bm_ard_3-2-1_51KYT_2019-04-23_final
2019-05-13 11:26:44	ga_s2bm_ard_3-2-1_51HXD_2019-05-13_final
2019-06-01 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-06-01_final
2019-08-01 11:23:43	ga_s2bm_ard_3-2-1_51KZR_2019-08-01_final
2019-08-01 11:23:48	ga_s2bm_ard_3-2-1_51KXR_2019-08-01_final
2019-08-04 11:33:42	ga_s2bm_ard_3-2-1_51KUS_2019-08-04_final
2019-08-14 11:32:18	ga_s2bm_ard_3-2-1_51KXB_2019-08-14_final
2019-08-17 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2019-08-17_final
2019-09-06 11:44:47	ga_s2bm_ard_3-2-1_50JRS_2019-09-06_final
2019-09-22 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-09-22_final
2019-10-13 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2019-10-13_final
2020-01-21 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2020-01-21_final
2020-02-20 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2020-02-20_final
2020-02-24 11:16:23	ga_s2bm_ard_3-2-1_51HXE_2020-02-24_final
2020-03-21 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-03-21_final
2020-04-06 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2020-04-06_final
2020-04-20 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2020-04-20_final
2020-06-05 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-06-05_final.stac-item
2020-06-12 11:43:35	ga_s2bm_ard_3-2-1_51KTS_2020-06-12_final
2020-07-06 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2020-07-06_final
2020-08-28 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2020-08-28_final
2020-08-31 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2020-08-31_final
2020-09-04 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2020-09-04_final
2020-09-14 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2020-09-14_final
2020-12-03 11:25:37	ga_s2bm_ard_3-2-1_51JXH_2020-12-03_final
2020-12-06 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2020-12-06_final
2020-12-10 11:16:20	ga_s2bm_ard_3-2-1_51HYE_2020-12-10_final
2020-12-29 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2020-12-29_final
2021-01-22 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2021-01-22_final
2021-01-25 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2021-01-25_final
2021-02-13 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2021-02-13_final
2021-03-09 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-03-09_final
2021-03-29 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-03-29_final
2021-05-08 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2021-05-08_final.stac-item
2021-05-18 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2021-05-18_final
2021-07-17 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2021-07-17_final
2021-08-06 11:44:46	ga_s2bm_ard_3-2-1_50JRS_2021-08-06_final
2021-08-26 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2021-08-26_final
2021-09-15 11:40:53	ga_s2bm_ard_3-2-1_51LWG_2021-09-15_final.stac-item
2021-09-15 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2021-09-15_final
2021-10-24 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2021-10-24_final
2021-11-07 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2021-11-07_final.stac-item
2021-12-24 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2021-12-24_final
2022-01-23 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2022-01-23_final
2022-02-08 12:03:35	ga_s2bm_ard_3-2-1_50KLB_2022-02-08_final
2022-03-14 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-03-14_final
2022-03-31 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2022-03-31_final
2022-04-03 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-04-03_final
2022-04-17 11:26:07	ga_s2bm_ard_3-2-1_51JWF_2022-04-17_final
2022-04-20 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2022-04-20_final
2022-04-29 12:04:06	ga_s2bm_ard_3-2-1_49KHQ_2022-04-29_final
2022-08-21 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2022-08-21_final
2022-08-28 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2022-08-28_final
2022-09-11 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2022-09-11_final.stac-item
2022-09-27 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2022-09-27_final.stac-item
2022-10-20 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2022-10-20_final.stac-item
2022-10-23 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2022-10-23_final.stac-item
2022-11-13 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2022-11-13_final.stac-item
2022-12-16 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2022-12-16_final.stac-item
2023-01-04 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2023-01-04_final.stac-item
2023-01-08 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2023-01-08_final.stac-item
2023-01-15 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2023-01-15_final.stac-item
2023-02-03 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2023-02-03_final.stac-item
2023-02-14 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2023-02-14_final.stac-item
2023-02-16 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-02-16_final.stac-item
2023-02-20 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2023-02-20_final.stac-item
2023-04-14 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2023-04-14_final.stac-item
2023-04-15 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2023-04-15_final.stac-item
2023-05-22 11:24:13	ga_s2bm_ard_3-2-1_51KYP_2023-05-22_final.stac-item
2023-05-25 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2023-05-25_final.stac-item
2023-06-27 11:45:04	ga_s2bm_ard_3-2-1_51JTL_2023-06-27_final.stac-item
2023-07-13 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2023-07-13_final.stac-item
2023-07-24 11:32:25	ga_s2bm_ard_3-2-1_51KVB_2023-07-24_final.stac-item
2023-08-23 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2023-08-23_final.stac-item
2023-09-05 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-09-05_final.stac-item
2023-10-04 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2023-10-04_final.stac-item
2023-10-09 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2023-10-09_final.stac-item
2023-11-01 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-11-01_final.stac-item
2023-11-20 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-11-20_final.stac-item
2023-12-14 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2023-12-14_final.stac-item
2023-12-21 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2023-12-21_final.stac-item
2024-01-07 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2024-01-07_final.stac-item
2024-01-13 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2024-01-13_final.stac-item
2024-02-09 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2024-02-09_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