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
2017-08-02 10:47:24	ga_s2bm_ard_3-2-1_53KKB_2017-08-02_final
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_53HQB_2017-11-11_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KBV_2017-12-26_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KBE_2018-01-28_final
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JMG_2018-02-02_final
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_53JPF_2018-02-12_final
2018-03-03 11:05:35	ga_s2bm_ard_3-2-1_52JDM_2018-03-03_final
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_53JNN_2018-04-26_final
2018-05-13 10:36:54	ga_s2bm_ard_3-2-1_53HPA_2018-05-13_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_52KCA_2018-06-07_final
2018-06-13 10:05:08	ga_s2bm_ard_3-2-1_54HVE_2018-06-13_final
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_54HWF_2018-06-26_final
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53KPP_2018-09-20_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HNH_2018-10-01_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53HLE_2018-10-03_final
2018-10-09 11:06:20	ga_s2bm_ard_3-2-1_52HBK_2018-10-09_final
2018-12-29 10:35:53	ga_s2bm_ard_3-2-1_53JMF_2018-12-29_final
2019-01-06 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2019-01-06_final
2019-01-25 10:26:30	ga_s2bm_ard_3-2-1_54HTH_2019-01-25_final
2019-01-25 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2019-01-25_final
2019-03-09 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2019-03-09_final
2019-04-15 10:24:32	ga_s2bm_ard_3-2-1_54JVR_2019-04-15_final
2019-04-28 10:36:39	ga_s2bm_ard_3-2-1_53HPC_2019-04-28_final
2019-05-17 11:06:32	ga_s2bm_ard_3-2-1_52HBK_2019-05-17_final
2019-05-26 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-05-26_final
2019-06-04 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-06-04_final
2019-06-28 11:43:05	ga_s2bm_ard_3-2-1_51KVU_2019-06-28_final
2019-08-03 12:06:03	ga_s2bm_ard_3-2-1_50JKN_2019-08-03_final
2019-10-16 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2019-10-16_final
2020-02-12 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2020-02-12_final
2020-05-22 10:34:15	ga_s2bm_ard_3-2-1_54JTS_2020-05-22_final
2020-08-18 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2020-08-18_final
2020-08-31 11:42:25	ga_s2bm_ard_3-2-1_51KWA_2020-08-31_final
2020-09-14 11:22:01	ga_s2bm_ard_3-2-1_51LYC_2020-09-14_final
2020-10-16 10:26:44	ga_s2bm_ard_3-2-1_53HNC_2020-10-16_final
2020-10-19 10:34:07	ga_s2bm_ard_3-2-1_53JQN_2020-10-19_final
2020-10-31 11:13:16	ga_s2bm_ard_3-2-1_52KBC_2020-10-31_final
2020-11-26 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2020-11-26_final
2020-11-29 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2020-11-29_final
2021-01-15 09:56:53	ga_s2bm_ard_3-2-1_54HYF_2021-01-15_final
2021-01-26 11:01:09	ga_s2bm_ard_3-2-1_53LLE_2021-01-26_final
2021-02-13 10:26:39	ga_s2bm_ard_3-2-1_53HNC_2021-02-13_final
2021-03-23 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2021-03-23_final
2021-03-27 11:06:35	ga_s2bm_ard_3-2-1_51HYD_2021-03-27_final
2021-04-17 10:34:28	ga_s2bm_ard_3-2-1_53JQL_2021-04-17_final
2021-06-03 12:04:21	ga_s2bm_ard_3-2-1_50KKV_2021-06-03_final
2021-06-10 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-06-10_final
2021-06-13 10:24:31	ga_s2bm_ard_3-2-1_54JUR_2021-06-13_final
2021-07-06 10:36:52	ga_s2bm_ard_3-2-1_53HNB_2021-07-06_final
2021-07-15 11:03:00	ga_s2bm_ard_3-2-1_52KGC_2021-07-15_final
2021-08-28 10:44:26	ga_s2bm_ard_3-2-1_53JPL_2021-08-28_final
2021-09-04 10:36:28	ga_s2bm_ard_3-2-1_53HPC_2021-09-04_final
2021-10-19 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2021-10-19_final
2021-11-12 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2021-11-12_final
2021-11-25 11:14:31	ga_s2bm_ard_3-2-1_52JCS_2021-11-25_final
2021-12-09 10:52:10	ga_s2bm_ard_3-2-1_53KKA_2021-12-09_final
2022-01-14 11:12:34	ga_s2bm_ard_3-2-1_52KCE_2022-01-14_final
2022-03-04 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2022-03-04_final
2022-03-26 10:44:04	ga_s2bm_ard_3-2-1_53JNN_2022-03-26_final
2022-03-28 11:25:25	ga_s2bm_ard_3-2-1_51JWJ_2022-03-28_final
2022-04-25 10:43:57	ga_s2bm_ard_3-2-1_53JPN_2022-04-25_final
2022-04-29 10:25:45	ga_s2bm_ard_3-2-1_53JPF_2022-04-29_final
2022-04-30 11:33:02	ga_s2bm_ard_3-2-1_51KXT_2022-04-30_final
2022-05-31 11:03:19	ga_s2bm_ard_3-2-1_53KKR_2022-05-31_final
2022-05-31 11:05:48	ga_s2bm_ard_3-2-1_52JDM_2022-05-31_final
2022-07-11 10:36:21	ga_s2bm_ard_3-2-1_53HLE_2022-07-11_final
2022-08-03 10:40:44	ga_s2bm_ard_3-2-1_53LPG_2022-08-03_final
2022-08-10 10:35:12	ga_s2bm_ard_3-2-1_53JNJ_2022-08-10_final
2022-09-13 11:54:05	ga_s2bm_ard_3-2-1_50KMA_2022-09-13_final.stac-item
2022-10-04 11:26:24	ga_s2bm_ard_3-2-1_51HWE_2022-10-04_final.stac-item
2022-11-09 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2022-11-09_final.stac-item
2022-11-21 10:42:43	ga_s2bm_ard_3-2-1_53KMU_2022-11-21_final.stac-item
2022-12-07 11:04:18	ga_s2bm_ard_3-2-1_52JDT_2022-12-07_final.stac-item
2022-12-23 11:21:46	ga_s2bm_ard_3-2-1_52LDH_2022-12-23_final.stac-item
2022-12-28 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2022-12-28_final.stac-item
2023-02-06 10:33:00	ga_s2bm_ard_3-2-1_53KRS_2023-02-06_final.stac-item
2023-02-11 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2023-02-11_final.stac-item
2023-02-23 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2023-02-23_final.stac-item
2023-04-09 11:14:37	ga_s2bm_ard_3-2-1_52JCS_2023-04-09_final.stac-item
2023-05-01 10:16:54	ga_s2bm_ard_3-2-1_53HQB_2023-05-01_final.stac-item
2023-06-12 10:53:04	ga_s2bm_ard_3-2-1_53KKT_2023-06-12_final.stac-item
2023-07-23 10:25:11	ga_s2bm_ard_3-2-1_53JQJ_2023-07-23_final.stac-item
2023-08-19 10:17:16	ga_s2bm_ard_3-2-1_54HVE_2023-08-19_final.stac-item
2023-08-21 10:51:09	ga_s2bm_ard_3-2-1_53LPE_2023-08-21_final.stac-item
2023-10-01 10:24:29	ga_s2bm_ard_3-2-1_54JVR_2023-10-01_final.stac-item
2023-10-14 10:34:35	ga_s2bm_ard_3-2-1_53JQL_2023-10-14_final.stac-item
2023-10-19 11:21:13	ga_s2bm_ard_3-2-1_51LZF_2023-10-19_nrt.stac-item
2023-10-27 10:41:32	ga_s2bm_ard_3-2-1_53LRC_2023-10-27_nrt.stac-item
2023-11-28 09:48:05	ga_s2bm_ard_3-2-1_54GYA_2023-11-28_final.stac-item
2023-11-29 10:53:39	ga_s2bm_ard_3-2-1_52KHV_2023-11-29_final.stac-item
2023-12-10 10:26:57	ga_s2bm_ard_3-2-1_53HQA_2023-12-10_final.stac-item
2024-01-04 11:14:31	ga_s2bm_ard_3-2-1_52JDS_2024-01-04_final.stac-item
2024-01-08 10:55:53	ga_s2bm_ard_3-2-1_53JKF_2024-01-08_final.stac-item
2024-01-31 11:00:42	ga_s2bm_ard_3-2-1_52LHM_2024-01-31_final.stac-item
2024-02-27 10:52:33	ga_s2bm_ard_3-2-1_53KNU_2024-02-27_final.stac-item
2024-03-11 11:01:10	ga_s2bm_ard_3-2-1_52LHK_2024-03-11_final.stac-item
2024-03-14 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2024-03-14_final.stac-item
2024-03-21 11:02:04	ga_s2bm_ard_3-2-1_52KFG_2024-03-21_final.stac-item
2024-05-08 10:26:41	ga_s2bm_ard_3-2-1_53HNC_2024-05-08_final.stac-item
2024-05-19 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2024-05-19_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