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
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_53HQD_2017-08-03_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53KRQ_2017-09-05_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KUT_2017-09-23_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JXH_2017-09-30_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51HUE_2017-10-13_final
2017-11-10 10:47:11	ga_s2bm_ard_3-2-1_53LPE_2017-11-10_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JPM_2017-11-15_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51LZE_2017-12-09_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51JYN_2018-01-15_final
2018-03-04 10:35:27	ga_s2bm_ard_3-2-1_53HLD_2018-03-04_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51KZP_2018-03-09_final
2018-03-23 10:57:10	ga_s2bm_ard_3-2-1_52LHM_2018-03-23_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KXR_2018-04-01_final
2018-05-14 10:05:09	ga_s2bm_ard_3-2-1_54HVE_2018-05-14_final
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_54JTL_2018-06-09_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HQJ_2018-07-13_final
2018-08-12 10:03:57	ga_s2bm_ard_3-2-1_54HVD_2018-08-12_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JMM_2018-09-04_final
2018-10-11 10:04:05	ga_s2bm_ard_3-2-1_54HXD_2018-10-11_final
2018-11-06 10:25:07	ga_s2bm_ard_3-2-1_53JQJ_2018-11-06_final
2018-11-18 11:04:53	ga_s2bm_ard_3-2-1_52JCR_2018-11-18_final
2018-12-28 11:05:27	ga_s2bm_ard_3-2-1_52JEN_2018-12-28_final
2019-01-25 10:26:40	ga_s2bm_ard_3-2-1_54HUG_2019-01-25_final
2019-02-03 10:52:12	ga_s2bm_ard_3-2-1_53KLA_2019-02-03_final
2019-02-21 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2019-02-21_final
2019-02-25 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-02-25_final
2019-03-03 10:16:44	ga_s2bm_ard_3-2-1_54HUG_2019-03-03_final
2019-04-08 10:34:29	ga_s2bm_ard_3-2-1_53JNM_2019-04-08_final
2019-05-02 11:56:33	ga_s2bm_ard_3-2-1_50JLL_2019-05-02_final
2019-05-05 10:24:48	ga_s2bm_ard_3-2-1_53JQL_2019-05-05_final
2019-05-16 11:34:05	ga_s2bm_ard_3-2-1_51KWQ_2019-05-16_final
2019-06-02 11:24:02	ga_s2bm_ard_3-2-1_51KYQ_2019-06-02_final
2019-07-31 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2019-07-31_final
2019-08-08 11:14:01	ga_s2bm_ard_3-2-1_52KBV_2019-08-08_final
2019-09-24 11:00:28	ga_s2bm_ard_3-2-1_53LKH_2019-09-24_final
2019-11-12 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2019-11-12_final
2019-11-22 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2019-11-22_final
2020-02-24 11:10:58	ga_s2bm_ard_3-2-1_52LFL_2020-02-24_final
2020-03-07 10:17:23	ga_s2bm_ard_3-2-1_54HVD_2020-03-07_final
2020-04-28 10:54:58	ga_s2bm_ard_3-2-1_52JFQ_2020-04-28_final
2020-05-09 10:26:34	ga_s2bm_ard_3-2-1_53HPC_2020-05-09_final
2020-05-23 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2020-05-23_final
2020-05-24 11:12:47	ga_s2bm_ard_3-2-1_52KED_2020-05-24_final
2020-07-02 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2020-07-02_final.stac-item
2020-11-03 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-11-03_final
2020-11-19 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2020-11-19_final
2020-11-24 10:55:54	ga_s2bm_ard_3-2-1_53JKF_2020-11-24_final
2021-01-22 11:24:22	ga_s2bm_ard_3-2-1_51JYN_2021-01-22_final
2021-02-12 10:52:32	ga_s2bm_ard_3-2-1_53KNU_2021-02-12_final
2021-02-18 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2021-02-18_final
2021-02-19 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2021-02-19_final
2021-03-14 10:50:41	ga_s2bm_ard_3-2-1_53LMG_2021-03-14_final
2021-04-11 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-04-11_final
2021-07-04 09:57:16	ga_s2bm_ard_3-2-1_54HYE_2021-07-04_final
2021-07-13 10:24:06	ga_s2bm_ard_3-2-1_53JRN_2021-07-13_final
2021-08-22 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-08-22_final
2021-08-29 10:16:50	ga_s2bm_ard_3-2-1_53HQB_2021-08-29_final
2021-09-03 11:03:50	ga_s2bm_ard_3-2-1_52KDV_2021-09-03_final
2021-09-23 11:01:19	ga_s2bm_ard_3-2-1_52LGK_2021-09-23_final
2021-11-10 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2021-11-10_final
2021-11-20 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2021-11-20_final
2021-11-25 11:13:26	ga_s2bm_ard_3-2-1_52KEA_2021-11-25_final
2021-12-11 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2021-12-11_final
2021-12-21 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2021-12-21_final
2021-12-21 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2021-12-21_final
2021-12-28 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2021-12-28_final
2022-01-23 10:07:39	ga_s2bm_ard_3-2-1_54HVC_2022-01-23_final.stac-item
2022-02-03 11:14:18	ga_s2bm_ard_3-2-1_52JBT_2022-02-03_final
2022-03-06 10:45:16	ga_s2bm_ard_3-2-1_53JNH_2022-03-06_final
2022-03-28 11:26:19	ga_s2bm_ard_3-2-1_51HXE_2022-03-28_final
2022-04-14 11:13:11	ga_s2bm_ard_3-2-1_52KEB_2022-04-14_final
2022-04-25 10:42:52	ga_s2bm_ard_3-2-1_53KMT_2022-04-25_final
2022-04-30 11:33:06	ga_s2bm_ard_3-2-1_51KWT_2022-04-30_final
2022-05-29 10:24:19	ga_s2bm_ard_3-2-1_53JRM_2022-05-29_final
2022-06-09 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2022-06-09_final
2022-06-15 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2022-06-15_final
2022-07-19 11:34:44	ga_s2bm_ard_3-2-1_51JWM_2022-07-19_final
2022-07-28 10:24:09	ga_s2bm_ard_3-2-1_54JTT_2022-07-28_final
2022-09-13 11:55:04	ga_s2bm_ard_3-2-1_50JPR_2022-09-13_final.stac-item
2022-10-07 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-10-07_final.stac-item
2022-10-07 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2022-10-07_final.stac-item
2022-12-27 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2022-12-27_final.stac-item
2023-01-02 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2023-01-02_final.stac-item
2023-01-06 11:01:48	ga_s2bm_ard_3-2-1_52LFH_2023-01-06_final.stac-item
2023-02-21 11:21:24	ga_s2bm_ard_3-2-1_52LBK_2023-02-21_final.stac-item
2023-03-29 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-03-29_final.stac-item
2023-04-27 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2023-04-27_final.stac-item
2023-05-09 11:10:50	ga_s2bm_ard_3-2-1_52LFM_2023-05-09_final.stac-item
2023-05-11 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2023-05-11_final.stac-item
2023-05-12 11:23:09	ga_s2bm_ard_3-2-1_52KBC_2023-05-12_final.stac-item
2023-05-19 11:15:26	ga_s2bm_ard_3-2-1_52JBP_2023-05-19_final.stac-item
2023-05-20 10:41:00	ga_s2bm_ard_3-2-1_53LPF_2023-05-20_final.stac-item
2023-07-14 09:57:31	ga_s2bm_ard_3-2-1_54HXD_2023-07-14_final.stac-item
2023-10-07 10:43:34	ga_s2bm_ard_3-2-1_53KPQ_2023-10-07_final.stac-item
2024-01-13 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2024-01-13_final.stac-item
2024-01-31 11:02:16	ga_s2bm_ard_3-2-1_52KFF_2024-01-31_final.stac-item
2024-02-24 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2024-02-24_final.stac-item
2024-03-04 11:12:31	ga_s2bm_ard_3-2-1_52KDE_2024-03-04_final.stac-item
2024-03-07 11:22:43	ga_s2bm_ard_3-2-1_52KCD_2024-03-07_final.stac-item
2024-04-10 11:05:01	ga_s2bm_ard_3-2-1_52JEQ_2024-04-10_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