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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_52KBU_2017-07-12_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXS_2017-11-22_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KYU_2017-11-29_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVU_2018-01-14_final
2018-04-21 11:26:19	ga_s2bm_ard_3-2-1_51KVV_2018-04-21_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KUT_2018-05-01_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52KBC_2018-06-17_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JPL_2018-07-03_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_52JBP_2018-07-14_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HXD_2018-07-27_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLN_2018-08-05_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52JET_2018-08-23_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KQD_2018-09-04_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51KZP_2018-09-25_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KXR_2018-10-08_final
2018-11-07 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2018-11-07_final
2018-12-17 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2018-12-17_final
2019-01-13 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2019-01-13_final
2019-03-23 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-03-23_final
2019-03-24 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2019-03-24_final
2019-05-06 11:34:19	ga_s2bm_ard_3-2-1_51KWP_2019-05-06_final
2019-05-13 11:23:29	ga_s2bm_ard_3-2-1_52KBB_2019-05-13_final
2019-05-23 11:27:10	ga_s2bm_ard_3-2-1_51HUC_2019-05-23_final
2019-06-21 11:53:58	ga_s2bm_ard_3-2-1_50KPA_2019-06-21_final
2019-06-22 11:23:00	ga_s2bm_ard_3-2-1_51KZU_2019-06-22_final
2019-07-05 11:37:09	ga_s2bm_ard_3-2-1_51HTC_2019-07-05_final
2019-08-04 11:34:07	ga_s2bm_ard_3-2-1_51KVQ_2019-08-04_final
2019-08-07 11:42:35	ga_s2bm_ard_3-2-1_51KVA_2019-08-07_final
2019-08-21 11:22:57	ga_s2bm_ard_3-2-1_52KBD_2019-08-21_final
2019-10-13 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2019-10-13_final
2019-10-23 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2019-10-23_final
2019-11-22 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2019-11-22_final
2020-01-11 11:35:28	ga_s2bm_ard_3-2-1_51JTJ_2020-01-11_final
2020-01-18 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2020-01-18_final
2020-02-01 11:04:04	ga_s2bm_ard_3-2-1_52JGT_2020-02-01_final
2020-02-13 11:42:04	ga_s2bm_ard_3-2-1_51KWB_2020-02-13_final
2020-02-19 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2020-02-19_final
2020-03-28 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2020-03-28_final
2020-04-07 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2020-04-07_final
2020-04-27 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2020-04-27_final
2020-05-30 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2020-05-30_final
2020-06-19 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-06-19_final
2020-06-26 11:24:07	ga_s2bm_ard_3-2-1_52KBU_2020-06-26_final
2020-07-02 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2020-07-02_final
2020-07-27 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2020-07-27_final
2020-08-08 11:32:43	ga_s2bm_ard_3-2-1_51KXV_2020-08-08_final
2020-08-11 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2020-08-11_final
2020-08-11 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2020-08-11_final
2020-09-20 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2020-09-20_final
2020-09-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-09-30_final
2020-10-01 11:13:17	ga_s2bm_ard_3-2-1_52KBC_2020-10-01_final
2020-10-14 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2020-10-14_final
2020-10-24 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2020-10-24_final
2021-01-22 11:25:20	ga_s2bm_ard_3-2-1_51JYJ_2021-01-22_final
2021-01-25 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-01-25_final
2021-02-04 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2021-02-04_final
2021-02-12 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2021-02-12_final
2021-02-13 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-13_final
2021-02-17 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2021-02-17_final
2021-04-08 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2021-04-08_final
2021-04-08 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2021-04-08_final
2021-04-12 11:24:11	ga_s2bm_ard_3-2-1_51KWP_2021-04-12_final
2021-05-29 11:15:22	ga_s2bm_ard_3-2-1_52JBP_2021-05-29_final
2021-07-17 11:45:48	ga_s2bm_ard_3-2-1_50JQN_2021-07-17_final
2021-08-06 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2021-08-06_final
2021-09-29 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2021-09-29_final
2021-10-02 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-10-02_final.stac-item
2021-11-04 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-11-04_final
2021-11-28 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2021-11-28_final
2022-01-19 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2022-01-19_final
2022-02-07 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2022-02-07_final
2022-02-11 12:13:34	ga_s2bm_ard_3-2-1_50KKB_2022-02-11_final
2022-03-11 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2022-03-11_final
2022-03-19 10:55:44	ga_s2bm_ard_3-2-1_52JFM_2022-03-19_final
2022-04-07 11:24:05	ga_s2bm_ard_3-2-1_51KYP_2022-04-07_final
2022-05-23 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2022-05-23_final
2022-06-12 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2022-06-12_final
2022-07-22 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-07-22_final
2022-08-25 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2022-08-25_final
2022-09-01 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2022-09-01_final.stac-item
2022-09-04 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2022-09-04_final.stac-item
2022-09-14 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2022-09-14_final.stac-item
2022-10-10 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-10-10_final.stac-item
2022-11-03 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2022-11-03_final.stac-item
2022-11-19 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2022-11-19_final.stac-item
2022-12-23 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2022-12-23_final.stac-item
2023-01-15 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2023-01-15_final.stac-item
2023-01-18 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2023-01-18_final.stac-item
2023-01-25 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2023-01-25_final.stac-item
2023-01-27 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-01-27_final.stac-item
2023-04-02 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2023-04-02_final.stac-item
2023-04-11 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-04-11_final.stac-item
2023-04-25 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2023-04-25_final.stac-item
2023-07-10 11:53:08	ga_s2bm_ard_3-2-1_50KQD_2023-07-10_final.stac-item
2023-07-24 11:31:27	ga_s2bm_ard_3-2-1_51LZE_2023-07-24_final.stac-item
2023-08-23 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-08-23_final.stac-item
2023-09-14 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-09-14_final.stac-item
2023-10-26 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2023-10-26_final.stac-item
2023-11-21 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2023-11-21_final.stac-item
2023-12-31 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2023-12-31_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