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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HPG_2017-08-07_final.stac-item
2017-08-21 11:18:37	ga_s2bm_ard_3-2-1_51KZR_2017-08-21_final
2017-11-16 11:06:59	ga_s2bm_ard_3-2-1_52LFH_2017-11-16_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JFM_2018-01-13_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_51JZM_2018-02-14_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JXJ_2018-02-17_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KXQ_2018-03-02_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50KRD_2018-03-15_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52HBK_2018-03-26_final
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_52JFR_2018-04-12_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-06-09_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KYT_2018-08-19_final
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52KEV_2018-09-19_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KYU_2018-10-18_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KVV_2018-10-21_final
2018-12-31 11:10:30	ga_s2bm_ard_3-2-1_52LFN_2018-12-31_final.stac-item
2019-01-23 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2019-01-23_final
2019-02-08 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2019-02-08_final
2019-02-11 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2019-02-11_final.stac-item
2019-04-02 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2019-04-02_final
2019-07-02 11:21:41	ga_s2bm_ard_3-2-1_52LDJ_2019-07-02_final
2019-07-02 11:21:49	ga_s2bm_ard_3-2-1_51LZD_2019-07-02_final
2019-07-26 11:03:07	ga_s2bm_ard_3-2-1_52KGC_2019-07-26_final
2019-08-04 11:36:27	ga_s2bm_ard_3-2-1_50JQL_2019-08-04_final
2019-09-07 11:12:55	ga_s2bm_ard_3-2-1_52KCD_2019-09-07_final
2019-10-10 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2019-10-10_final
2019-11-21 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-11-21_final
2020-01-12 11:04:17	ga_s2bm_ard_3-2-1_52JGS_2020-01-12_final
2020-01-17 11:53:26	ga_s2bm_ard_3-2-1_50KQB_2020-01-17_final
2020-02-20 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2020-02-20_final
2020-05-03 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2020-05-03_final
2020-05-07 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2020-05-07_final
2020-05-17 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2020-05-17_final
2020-06-09 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-06-09_final
2020-07-02 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2020-07-02_final
2020-07-02 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2020-07-02_final.stac-item
2020-07-06 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2020-07-06_final
2020-08-02 11:13:26	ga_s2bm_ard_3-2-1_52KDB_2020-08-02_final
2020-08-11 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2020-08-11_final
2020-08-22 11:11:23	ga_s2bm_ard_3-2-1_52LEK_2020-08-22_final.stac-item
2020-08-23 10:46:24	ga_s2bm_ard_3-2-1_53HMD_2020-08-23_final
2020-09-01 11:15:10	ga_s2bm_ard_3-2-1_52JBQ_2020-09-01_final
2020-09-14 11:21:26	ga_s2bm_ard_3-2-1_52LBK_2020-09-14_final
2020-09-16 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2020-09-16_final
2020-10-06 10:26:57	ga_s2bm_ard_3-2-1_53HNB_2020-10-06_final
2020-11-03 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2020-11-03_final
2020-11-10 11:13:16	ga_s2bm_ard_3-2-1_52KEB_2020-11-10_final
2020-11-10 11:13:38	ga_s2bm_ard_3-2-1_52KCA_2020-11-10_final
2020-12-06 11:32:49	ga_s2bm_ard_3-2-1_51KYU_2020-12-06_final
2020-12-18 10:36:20	ga_s2bm_ard_3-2-1_53HMD_2020-12-18_final
2021-02-15 11:00:28	ga_s2bm_ard_3-2-1_52LHN_2021-02-15_final
2021-04-08 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2021-04-08_final
2021-07-06 12:13:45	ga_s2bm_ard_3-2-1_50KKB_2021-07-06_final
2021-07-14 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2021-07-14_final
2021-07-28 11:13:46	ga_s2bm_ard_3-2-1_52KEV_2021-07-28_final
2021-08-03 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-08-03_final.stac-item
2021-08-27 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2021-08-27_final
2021-08-30 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2021-08-30_final
2021-08-30 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2021-08-30_final
2021-10-02 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-10-02_final
2021-10-12 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-10-12_final
2021-10-19 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2021-10-19_final
2021-11-10 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2021-11-10_final
2021-11-22 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2021-11-22_final
2021-12-05 11:11:29	ga_s2bm_ard_3-2-1_52LEJ_2021-12-05_final
2021-12-22 11:04:42	ga_s2bm_ard_3-2-1_52JER_2021-12-22_final
2022-01-14 11:11:23	ga_s2bm_ard_3-2-1_52LGJ_2022-01-14_final
2022-02-23 11:13:25	ga_s2bm_ard_3-2-1_52KEA_2022-02-23_final
2022-03-02 11:00:27	ga_s2bm_ard_3-2-1_52LHN_2022-03-02_final
2022-03-12 11:06:19	ga_s2bm_ard_3-2-1_52HCK_2022-03-12_final.stac-item
2022-04-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-03_final
2022-04-11 11:00:27	ga_s2bm_ard_3-2-1_52LHN_2022-04-11_final
2022-05-05 10:45:42	ga_s2bm_ard_3-2-1_52JGM_2022-05-05_final
2022-05-24 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2022-05-24_final
2022-06-10 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2022-06-10_final.stac-item
2022-06-19 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2022-06-19_final
2022-07-12 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2022-07-12_final
2022-07-22 11:43:27	ga_s2bm_ard_3-2-1_50KQC_2022-07-22_final
2022-08-30 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2022-08-30_final
2022-09-11 11:11:00	ga_s2bm_ard_3-2-1_52LGL_2022-09-11_final.stac-item
2022-10-04 11:21:30	ga_s2bm_ard_3-2-1_52LDJ_2022-10-04_final.stac-item
2022-10-21 11:13:51	ga_s2bm_ard_3-2-1_52KCV_2022-10-21_final.stac-item
2023-05-19 11:15:09	ga_s2bm_ard_3-2-1_52JCQ_2023-05-19_final.stac-item
2023-05-26 11:02:23	ga_s2bm_ard_3-2-1_52KFF_2023-05-26_final.stac-item
2023-06-08 11:10:48	ga_s2bm_ard_3-2-1_52LGM_2023-06-08_final.stac-item
2023-06-12 10:53:33	ga_s2bm_ard_3-2-1_52KHA_2023-06-12_final.stac-item
2023-06-14 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2023-06-14_final.stac-item
2023-06-15 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-06-15_final.stac-item
2023-08-13 11:33:08	ga_s2bm_ard_3-2-1_51KYT_2023-08-13_final.stac-item
2023-09-18 11:56:58	ga_s2bm_ard_3-2-1_50HMJ_2023-09-18_final.stac-item
2023-11-02 11:00:47	ga_s2bm_ard_3-2-1_52LHM_2023-11-02_final.stac-item
2023-11-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-30_final.stac-item
2024-01-01 11:02:45	ga_s2bm_ard_3-2-1_52KGD_2024-01-01_final.stac-item
2024-01-04 11:14:24	ga_s2bm_ard_3-2-1_52JBT_2024-01-04_final.stac-item
2024-01-07 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2024-01-07_final.stac-item
2024-01-08 10:52:58	ga_s2bm_ard_3-2-1_52KHC_2024-01-08_final.stac-item
2024-02-29 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2024-02-29_final.stac-item
2024-03-01 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2024-03-01_final.stac-item
2024-03-27 11:23:50	ga_s2bm_ard_3-2-1_52KBV_2024-03-27_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