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
2017-08-09 10:43:05	ga_s2bm_ard_3-2-1_53JNN_2017-08-09_final
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51KWS_2017-08-14_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_52JCR_2017-09-17_final
2017-10-30 11:20:19	ga_s2bm_ard_3-2-1_51JWJ_2017-10-30_final
2017-11-07 10:37:13	ga_s2bm_ard_3-2-1_53JLG_2017-11-07_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JCL_2017-12-13_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JXK_2017-12-29_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52LGH_2018-01-22_final
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_53JKK_2018-02-08_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_51JYG_2018-02-14_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JWG_2018-02-17_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_52JGP_2018-05-09_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JPL_2018-08-21_final
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JQL_2018-08-21_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52KDA_2018-08-23_final
2018-09-12 11:07:03	ga_s2bm_ard_3-2-1_52KDV_2018-09-12_final
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_53JNN_2018-09-13_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HNH_2018-09-21_final
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53JNM_2018-09-23_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51JWJ_2018-09-25_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JPM_2018-10-01_final
2018-11-18 11:02:09	ga_s2bm_ard_3-2-1_52KHF_2018-11-18_final
2018-11-21 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2018-11-21_final
2018-11-25 10:55:09	ga_s2bm_ard_3-2-1_52JGP_2018-11-25_final
2018-12-25 10:53:21	ga_s2bm_ard_3-2-1_53KLR_2018-12-25_final
2018-12-27 11:34:25	ga_s2bm_ard_3-2-1_51JVN_2018-12-27_final
2019-02-26 11:03:30	ga_s2bm_ard_3-2-1_52KFA_2019-02-26_final
2019-03-24 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2019-03-24_final
2019-04-07 11:02:00	ga_s2bm_ard_3-2-1_53KKB_2019-04-07_final
2019-06-26 11:02:38	ga_s2bm_ard_3-2-1_52KGE_2019-06-26_final
2019-07-19 11:16:14	ga_s2bm_ard_3-2-1_52JBL_2019-07-19_final
2019-07-22 11:23:19	ga_s2bm_ard_3-2-1_51KYT_2019-07-22_final
2019-08-14 11:33:19	ga_s2bm_ard_3-2-1_51KWT_2019-08-14_final
2019-08-24 11:33:00	ga_s2bm_ard_3-2-1_51KXU_2019-08-24_final
2019-08-28 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2019-08-28_final
2019-08-28 11:13:55	ga_s2bm_ard_3-2-1_52KCV_2019-08-28_final
2019-09-13 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2019-09-13_final
2019-09-17 11:13:21	ga_s2bm_ard_3-2-1_52KCB_2019-09-17_final
2019-10-08 10:45:27	ga_s2bm_ard_3-2-1_53JLH_2019-10-08_final
2019-10-14 11:01:44	ga_s2bm_ard_3-2-1_52LHH_2019-10-14_final
2019-11-07 10:45:40	ga_s2bm_ard_3-2-1_53JLG_2019-11-07_final
2019-11-17 10:45:09	ga_s2bm_ard_3-2-1_53JLJ_2019-11-17_final
2020-01-11 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2020-01-11_final
2020-01-18 11:23:04	ga_s2bm_ard_3-2-1_51KYT_2020-01-18_final
2020-03-16 10:44:19	ga_s2bm_ard_3-2-1_53JNM_2020-03-16_final
2020-03-26 10:44:18	ga_s2bm_ard_3-2-1_53JNM_2020-03-26_final
2020-04-19 10:26:45	ga_s2bm_ard_3-2-1_53HPB_2020-04-19_final
2020-07-14 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2020-07-14_final
2020-07-19 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2020-07-19_final
2020-09-01 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2020-09-01_final
2020-10-01 11:15:40	ga_s2bm_ard_3-2-1_52JBN_2020-10-01_final
2020-11-27 11:03:31	ga_s2bm_ard_3-2-1_52KFA_2020-11-27_final
2020-12-04 10:53:24	ga_s2bm_ard_3-2-1_53KLR_2020-12-04_final
2021-03-01 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2021-03-01_final
2021-03-16 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-03-16_final
2021-03-30 11:16:04	ga_s2bm_ard_3-2-1_52JBL_2021-03-30_final
2021-04-06 11:05:02	ga_s2bm_ard_3-2-1_52JDQ_2021-04-06_final
2021-04-20 10:44:01	ga_s2bm_ard_3-2-1_53JNN_2021-04-20_final
2021-04-30 10:44:02	ga_s2bm_ard_3-2-1_53JNN_2021-04-30_final
2021-05-16 11:05:04	ga_s2bm_ard_3-2-1_52JDQ_2021-05-16_final
2021-05-25 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2021-05-25_final
2021-05-29 11:15:51	ga_s2bm_ard_3-2-1_52JBM_2021-05-29_final
2021-06-11 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2021-06-11_final
2021-06-18 11:12:33	ga_s2bm_ard_3-2-1_52KEE_2021-06-18_final
2021-06-24 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2021-06-24_final
2021-08-07 11:13:38	ga_s2bm_ard_3-2-1_52KCA_2021-08-07_final
2021-09-06 11:14:17	ga_s2bm_ard_3-2-1_52JCT_2021-09-06_final
2021-09-22 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2021-09-22_final
2021-10-12 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2021-10-12_final
2021-10-22 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2021-10-22_final
2021-12-13 10:35:14	ga_s2bm_ard_3-2-1_53JPH_2021-12-13_final
2021-12-28 11:25:23	ga_s2bm_ard_3-2-1_51JWJ_2021-12-28_final
2022-02-20 11:02:38	ga_s2bm_ard_3-2-1_52KGD_2022-02-20_final
2022-04-01 11:04:43	ga_s2bm_ard_3-2-1_52JER_2022-04-01_final
2022-05-11 11:05:02	ga_s2bm_ard_3-2-1_52JDQ_2022-05-11_final
2022-06-19 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2022-06-19_final
2022-08-29 11:05:20	ga_s2bm_ard_3-2-1_52JDP_2022-08-29_final
2022-09-14 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2022-09-14_final.stac-item
2022-09-27 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2022-09-27_final.stac-item
2022-10-15 10:53:12	ga_s2bm_ard_3-2-1_53KKS_2022-10-15_final.stac-item
2022-10-18 11:03:30	ga_s2bm_ard_3-2-1_52KFA_2022-10-18_final.stac-item
2022-10-21 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2022-10-21_final.stac-item
2023-03-03 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2023-03-03_final.stac-item
2023-05-19 11:14:10	ga_s2bm_ard_3-2-1_52KCU_2023-05-19_final.stac-item
2023-05-22 11:23:59	ga_s2bm_ard_3-2-1_51KYQ_2023-05-22_final.stac-item
2023-07-28 11:15:42	ga_s2bm_ard_3-2-1_52JBN_2023-07-28_final.stac-item
2023-08-30 11:25:00	ga_s2bm_ard_3-2-1_51JXL_2023-08-30_final.stac-item
2023-10-02 11:34:16	ga_s2bm_ard_3-2-1_51KVP_2023-10-02_final.stac-item
2023-10-19 11:24:43	ga_s2bm_ard_3-2-1_51JXM_2023-10-19_final.stac-item
2023-10-30 10:54:14	ga_s2bm_ard_3-2-1_52JHT_2023-10-30_final.stac-item
2023-11-01 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2023-11-01_final.stac-item
2023-11-06 10:45:43	ga_s2bm_ard_3-2-1_53JLG_2023-11-06_final.stac-item
2023-11-18 11:24:39	ga_s2bm_ard_3-2-1_51JXM_2023-11-18_final.stac-item
2023-12-19 10:55:42	ga_s2bm_ard_3-2-1_52JGM_2023-12-19_final.stac-item
2024-01-07 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2024-01-07_final.stac-item
2024-01-24 11:11:47	ga_s2bm_ard_3-2-1_52LEH_2024-01-24_final.stac-item
2024-01-31 11:03:10	ga_s2bm_ard_3-2-1_52KGB_2024-01-31_final.stac-item
2024-02-14 10:44:07	ga_s2bm_ard_3-2-1_53JNN_2024-02-14_final.stac-item
2024-03-21 11:01:43	ga_s2bm_ard_3-2-1_52LHH_2024-03-21_final.stac-item
2024-03-21 11:02:12	ga_s2bm_ard_3-2-1_52KHF_2024-03-21_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