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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JML_2017-07-31_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_52JBQ_2017-11-06_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HLH_2017-11-18_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51LWC_2017-12-02_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KXU_2017-12-22_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KVT_2018-05-01_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KUT_2018-06-10_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KUT_2018-06-23_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQM_2018-07-03_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JMN_2018-07-16_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HVC_2018-07-27_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KWT_2018-07-30_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_52LDJ_2018-10-15_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNH_2018-10-21_final
2018-11-07 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2018-11-07_final
2018-11-17 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2018-11-17_final
2018-11-18 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2018-11-18_final
2018-11-21 11:11:31	ga_s2bm_ard_3-2-1_52LEJ_2018-11-21_final
2018-12-13 11:53:14	ga_s2bm_ard_3-2-1_50KPC_2018-12-13_final
2018-12-20 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2018-12-20_final
2018-12-24 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2018-12-24_final
2018-12-31 11:11:31	ga_s2bm_ard_3-2-1_52LEJ_2018-12-31_final
2019-01-23 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2019-01-23_final
2019-01-26 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2019-01-26_final
2019-01-30 11:15:26	ga_s2bm_ard_3-2-1_52JCP_2019-01-30_final
2019-02-21 11:53:09	ga_s2bm_ard_3-2-1_50KQC_2019-02-21_final
2019-06-08 11:45:47	ga_s2bm_ard_3-2-1_50JNP_2019-06-08_final
2019-07-22 11:23:37	ga_s2bm_ard_3-2-1_51KXS_2019-07-22_final
2019-08-04 11:33:24	ga_s2bm_ard_3-2-1_51KVT_2019-08-04_final
2019-09-27 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2019-09-27_final.stac-item
2019-11-12 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-11-12_final
2019-12-09 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2019-12-09_final
2020-01-12 11:00:25	ga_s2bm_ard_3-2-1_52LHN_2020-01-12_final
2020-01-14 11:43:30	ga_s2bm_ard_3-2-1_51KVR_2020-01-14_final
2020-02-13 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2020-02-13_final
2020-02-13 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2020-02-13_final
2020-04-07 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2020-04-07_final
2020-05-07 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2020-05-07_final
2020-05-14 11:10:31	ga_s2bm_ard_3-2-1_52LFN_2020-05-14_final.stac-item
2020-05-20 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2020-05-20_final
2020-05-23 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2020-05-23_final.stac-item
2020-06-01 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-06-01_final
2020-07-03 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2020-07-03_final
2020-08-11 11:42:13	ga_s2bm_ard_3-2-1_51KWB_2020-08-11_final
2020-10-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-10-30_final
2020-11-09 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2020-11-09_final
2020-11-29 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2020-11-29_final
2020-12-11 10:46:07	ga_s2bm_ard_3-2-1_53HLE_2020-12-11_final
2020-12-16 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2020-12-16_final
2021-01-02 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2021-01-02_final
2021-04-25 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2021-04-25_final
2021-05-05 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2021-05-05_final
2021-06-07 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-06-07_final
2021-06-24 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-06-24_final.stac-item
2021-08-06 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2021-08-06_final
2021-12-05 11:11:26	ga_s2bm_ard_3-2-1_52LFJ_2021-12-05_final
2021-12-27 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2021-12-27_final
2021-12-27 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2021-12-27_final
2022-01-04 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2022-01-04_final
2022-01-17 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2022-01-17_final
2022-02-03 11:12:08	ga_s2bm_ard_3-2-1_52KFF_2022-02-03_final
2022-03-14 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-03-14_final.stac-item
2022-03-25 11:12:00	ga_s2bm_ard_3-2-1_52KEG_2022-03-25_final
2022-04-16 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-04-16_final
2022-05-09 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2022-05-09_final.stac-item
2022-06-02 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-06-02_final
2022-06-13 11:11:04	ga_s2bm_ard_3-2-1_52LFL_2022-06-13_final
2022-06-30 11:06:08	ga_s2bm_ard_3-2-1_52JDL_2022-06-30_final
2022-07-05 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-07-05_final
2022-09-07 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2022-09-07_final.stac-item
2022-10-10 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2022-10-10_final.stac-item
2022-10-11 11:15:02	ga_s2bm_ard_3-2-1_52JCQ_2022-10-11_final.stac-item
2022-11-17 11:03:49	ga_s2bm_ard_3-2-1_52KEV_2022-11-17_final.stac-item
2022-12-16 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2022-12-16_final.stac-item
2023-01-03 10:53:41	ga_s2bm_ard_3-2-1_52KHV_2023-01-03_final.stac-item
2023-02-01 11:23:00	ga_s2bm_ard_3-2-1_52KCC_2023-02-01_final.stac-item
2023-02-11 11:21:24	ga_s2bm_ard_3-2-1_51LZE_2023-02-11_final.stac-item
2023-02-21 11:22:23	ga_s2bm_ard_3-2-1_51KZA_2023-02-21_final.stac-item
2023-04-24 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-04-24_final.stac-item
2023-06-04 11:33:17	ga_s2bm_ard_3-2-1_51KWT_2023-06-04_final.stac-item
2023-06-28 11:10:37	ga_s2bm_ard_3-2-1_52LFN_2023-06-28_final.stac-item
2023-07-27 11:43:49	ga_s2bm_ard_3-2-1_51KUR_2023-07-27_final.stac-item
2023-08-13 11:33:22	ga_s2bm_ard_3-2-1_51KVT_2023-08-13_final.stac-item
2023-08-29 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-08-29_final.stac-item
2023-09-16 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2023-09-16_final.stac-item
2023-09-24 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2023-09-24_final.stac-item
2023-10-15 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2023-10-15_final.stac-item
2023-10-16 11:11:07	ga_s2bm_ard_3-2-1_52LEL_2023-10-16_final.stac-item
2023-11-26 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2023-11-26_final.stac-item
2023-12-04 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-12-04_final.stac-item
2023-12-28 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2023-12-28_final.stac-item
2023-12-31 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-12-31_final.stac-item
2024-01-07 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2024-01-07_final.stac-item
2024-01-26 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2024-01-26_final.stac-item
2024-03-03 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2024-03-03_final.stac-item
2024-03-07 11:23:01	ga_s2bm_ard_3-2-1_52KBC_2024-03-07_final.stac-item
2024-03-23 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-03-23_final.stac-item
2024-04-06 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2024-04-06_final.stac-item
2024-04-09 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2024-04-09_final.stac-item
2024-04-19 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2024-04-19_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