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
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52JDL_2017-11-03_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JMF_2017-11-14_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JQK_2017-11-14_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53KNT_2017-11-27_final
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53JPM_2017-12-14_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KDA_2017-12-26_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52LDH_2018-02-17_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HUD_2018-02-17_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HMH_2018-07-16_final
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53JLK_2018-08-24_final
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_52JGL_2018-10-16_final
2018-10-19 11:04:48	ga_s2bm_ard_3-2-1_52JCN_2018-10-19_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2018-10-25_final
2019-01-02 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2019-01-02_final
2019-03-06 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2019-03-06_final
2019-03-06 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2019-03-06_final
2019-04-03 11:26:32	ga_s2bm_ard_3-2-1_51HVE_2019-04-03_final
2019-04-06 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2019-04-06_final
2019-04-07 11:01:06	ga_s2bm_ard_3-2-1_52LGL_2019-04-07_final
2019-04-21 10:44:09	ga_s2bm_ard_3-2-1_53JPN_2019-04-21_final
2019-07-12 11:24:24	ga_s2bm_ard_3-2-1_51KWP_2019-07-12_final
2019-07-25 11:34:11	ga_s2bm_ard_3-2-1_51KUQ_2019-07-25_final
2019-09-03 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2019-09-03_final
2019-09-07 11:13:35	ga_s2bm_ard_3-2-1_52KDA_2019-09-07_final
2019-10-10 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2019-10-10_final
2019-10-15 10:36:11	ga_s2bm_ard_3-2-1_53HME_2019-10-15_final
2019-10-21 10:53:22	ga_s2bm_ard_3-2-1_52KGB_2019-10-21_final
2020-02-01 11:02:47	ga_s2bm_ard_3-2-1_53KKT_2020-02-01_final
2020-02-10 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2020-02-10_final
2020-03-02 11:04:30	ga_s2bm_ard_3-2-1_52JES_2020-03-02_final
2020-05-17 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2020-05-17_final
2020-05-29 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2020-05-29_final
2020-06-04 10:44:18	ga_s2bm_ard_3-2-1_53JPM_2020-06-04_final
2020-06-12 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-06-12_final
2020-10-04 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2020-10-04_final
2020-11-28 10:36:24	ga_s2bm_ard_3-2-1_53HMD_2020-11-28_final
2020-12-17 11:05:55	ga_s2bm_ard_3-2-1_52JEL_2020-12-17_final
2021-01-02 11:24:57	ga_s2bm_ard_3-2-1_51JWL_2021-01-02_final
2021-01-02 11:25:37	ga_s2bm_ard_3-2-1_51JXH_2021-01-02_final
2021-01-13 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2021-01-13_final
2021-02-05 11:02:38	ga_s2bm_ard_3-2-1_53KKU_2021-02-05_final
2021-03-06 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2021-03-06_final
2021-06-21 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2021-06-21_final
2021-08-02 10:25:36	ga_s2bm_ard_3-2-1_53JQG_2021-08-02_final
2021-09-04 10:34:33	ga_s2bm_ard_3-2-1_53JPL_2021-09-04_final
2021-09-12 11:34:51	ga_s2bm_ard_3-2-1_51JWL_2021-09-12_final
2021-10-02 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2021-10-02_final
2021-10-23 11:05:46	ga_s2bm_ard_3-2-1_52JEM_2021-10-23_final
2021-11-03 10:34:25	ga_s2bm_ard_3-2-1_53JQM_2021-11-03_final
2021-11-08 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2021-11-08_final
2021-11-18 11:26:20	ga_s2bm_ard_3-2-1_51HXE_2021-11-18_final
2021-11-25 11:10:21	ga_s2bm_ard_3-2-1_52LHN_2021-11-25_final
2021-11-26 10:42:57	ga_s2bm_ard_3-2-1_53KQS_2021-11-26_final
2022-01-12 10:34:17	ga_s2bm_ard_3-2-1_53JPM_2022-01-12_final
2022-01-18 10:55:00	ga_s2bm_ard_3-2-1_52JFQ_2022-01-18_final
2022-01-21 11:03:15	ga_s2bm_ard_3-2-1_52KEB_2022-01-21_final
2022-01-31 11:02:03	ga_s2bm_ard_3-2-1_53KKA_2022-01-31_final
2022-01-31 11:02:10	ga_s2bm_ard_3-2-1_52KHF_2022-01-31_final
2022-02-03 11:12:00	ga_s2bm_ard_3-2-1_52KDG_2022-02-03_final
2022-02-13 11:15:01	ga_s2bm_ard_3-2-1_52JBQ_2022-02-13_final
2022-02-27 10:55:38	ga_s2bm_ard_3-2-1_52JGM_2022-02-27_final
2022-03-16 10:45:49	ga_s2bm_ard_3-2-1_53JMF_2022-03-16_final
2022-04-17 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2022-04-17_final
2022-05-10 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2022-05-10_final
2022-05-22 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2022-05-22_final
2022-05-23 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2022-05-23_final
2022-05-30 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2022-05-30_final
2022-06-06 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2022-06-06_final
2022-07-19 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2022-07-19_final
2022-07-22 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2022-07-22_final
2022-09-20 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-09-20_final.stac-item
2022-10-11 11:15:20	ga_s2bm_ard_3-2-1_52JBP_2022-10-11_final.stac-item
2022-10-18 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2022-10-18_final.stac-item
2022-10-29 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2022-10-29_final.stac-item
2022-11-06 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2022-11-06_final.stac-item
2022-11-20 11:16:30	ga_s2bm_ard_3-2-1_51HWE_2022-11-20_final.stac-item
2022-12-14 10:53:55	ga_s2bm_ard_3-2-1_53KKP_2022-12-14_final.stac-item
2022-12-17 11:03:08	ga_s2bm_ard_3-2-1_52KHB_2022-12-17_final.stac-item
2022-12-31 10:43:10	ga_s2bm_ard_3-2-1_53KMS_2022-12-31_final.stac-item
2023-01-09 11:13:27	ga_s2bm_ard_3-2-1_52KEA_2023-01-09_final.stac-item
2023-01-29 11:13:02	ga_s2bm_ard_3-2-1_52KDC_2023-01-29_final.stac-item
2023-01-29 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2023-01-29_final.stac-item
2023-01-31 13:31:36	ga_s2bm_ard_3-2-1_47LKG_2023-01-31_interim.stac-item
2023-02-14 11:35:06	ga_s2bm_ard_3-2-1_51JWK_2023-02-14_final.stac-item
2023-03-26 11:31:07	ga_s2bm_ard_3-2-1_52LBL_2023-03-26_nrt.stac-item
2023-05-07 10:34:02	ga_s2bm_ard_3-2-1_53JRN_2023-05-07_final.stac-item
2023-05-16 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2023-05-16_final.stac-item
2023-05-31 11:57:18	ga_s2bm_ard_3-2-1_49HGC_2023-05-31_nrt.stac-item
2023-06-26 10:34:55	ga_s2bm_ard_3-2-1_53JPK_2023-06-26_final.stac-item
2023-07-02 10:53:41	ga_s2bm_ard_3-2-1_53KMQ_2023-07-02_final.stac-item
2023-08-05 10:35:57	ga_s2bm_ard_3-2-1_53JNF_2023-08-05_final.stac-item
2023-08-12 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-08-12_final.stac-item
2023-08-25 10:37:02	ga_s2bm_ard_3-2-1_53HPA_2023-08-25_final.stac-item
2023-11-28 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2023-11-28_final.stac-item
2023-12-08 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2023-12-08_final.stac-item
2024-01-25 10:42:26	ga_s2bm_ard_3-2-1_53KQU_2024-01-25_final.stac-item
2024-02-20 11:06:25	ga_s2bm_ard_3-2-1_52HBK_2024-02-20_final.stac-item
2024-03-13 11:44:47	ga_s2bm_ard_3-2-1_51JTM_2024-03-13_final.stac-item
2024-03-21 11:03:04	ga_s2bm_ard_3-2-1_52KGC_2024-03-21_final.stac-item
2024-05-06 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2024-05-06_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