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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_50KRC_2017-07-18_final
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51JUN_2017-08-14_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KHR_2017-09-15_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-09-22_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVQ_2017-11-02_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-11-04_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HQJ_2017-12-12_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51HTC_2017-12-22_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KPB_2017-12-28_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51JZN_2018-03-26_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQH_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNK_2018-04-24_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JKP_2018-06-09_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HPK_2018-06-13_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50JNM_2018-06-23_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JLT_2018-07-06_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51JWL_2018-07-17_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KXP_2018-08-09_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KVS_2018-09-11_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KWB_2018-09-21_final
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51KWB_2018-10-18_final
2018-11-07 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2018-11-07_final
2019-01-23 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2019-01-23_final
2019-02-02 11:25:48	ga_s2bm_ard_3-2-1_51JWG_2019-02-02_final
2019-02-18 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-02-18_final
2019-03-11 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2019-03-11_final
2019-03-13 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2019-03-13_final
2019-03-14 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2019-03-14_final
2019-04-02 11:55:52	ga_s2bm_ard_3-2-1_50JNN_2019-04-02_final
2019-04-23 11:24:25	ga_s2bm_ard_3-2-1_51JZN_2019-04-23_final
2019-05-19 11:42:30	ga_s2bm_ard_3-2-1_51KWA_2019-05-19_final
2019-07-14 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2019-07-14_final
2019-07-24 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-24_final
2019-09-13 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2019-09-13_final
2019-09-22 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-09-22_final
2019-10-16 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2019-10-16_final
2019-11-19 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2019-11-19_final
2019-12-12 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2019-12-12_final
2019-12-19 11:25:33	ga_s2bm_ard_3-2-1_51JXH_2019-12-19_final
2020-02-16 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2020-02-16_final.stac-item
2020-02-20 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2020-02-20_final
2020-02-20 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2020-02-20_final
2020-03-11 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2020-03-11_final
2020-04-24 11:16:02	ga_s2bm_ard_3-2-1_51JYF_2020-04-24_final
2020-05-03 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2020-05-03_final.stac-item
2020-05-10 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2020-05-10_final
2020-05-13 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2020-05-13_final
2020-05-13 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2020-05-13_final
2020-05-19 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-05-19_final
2020-05-24 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2020-05-24_final
2020-07-16 11:23:48	ga_s2bm_ard_3-2-1_51KXR_2020-07-16_final
2020-07-26 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2020-07-26_final
2020-09-04 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2020-09-04_final
2020-09-24 11:24:58	ga_s2bm_ard_3-2-1_51JXL_2020-09-24_final
2020-10-07 11:32:47	ga_s2bm_ard_3-2-1_51KWV_2020-10-07_final
2020-11-02 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-11-02_final
2020-11-29 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2020-11-29_final
2020-12-16 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2020-12-16_final
2020-12-29 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2020-12-29_final
2021-02-17 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2021-02-17_final
2021-03-26 11:35:55	ga_s2bm_ard_3-2-1_51JVG_2021-03-26_final
2021-04-25 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2021-04-25_final
2021-04-28 11:46:14	ga_s2bm_ard_3-2-1_50JPL_2021-04-28_final
2021-07-10 11:53:41	ga_s2bm_ard_3-2-1_50KNB_2021-07-10_final
2021-08-03 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-08-03_final
2021-09-11 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-09-11_final
2021-09-18 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2021-09-18_final
2021-09-26 11:16:57	ga_s2bm_ard_3-2-1_51HWC_2021-09-26_final.stac-item
2021-10-09 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-10-09_final
2021-10-18 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2021-10-18_final
2021-10-22 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2021-10-22_final
2021-10-31 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-10-31_final
2021-11-30 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-30_final
2021-12-11 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2021-12-11_final
2021-12-23 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-12-23_final
2021-12-31 11:35:46	ga_s2bm_ard_3-2-1_50JQN_2021-12-31_final
2022-01-17 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2022-01-17_final
2022-02-09 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2022-02-09_final
2022-04-03 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2022-04-03_final
2022-05-17 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2022-05-17_final
2022-05-24 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2022-05-24_final
2022-08-11 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2022-08-11_final
2022-10-04 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2022-10-04_final.stac-item
2022-10-16 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2022-10-16_final.stac-item
2022-10-27 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2022-10-27_final.stac-item
2022-11-15 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-11-15_final.stac-item
2022-12-15 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2022-12-15_final.stac-item
2023-02-27 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-02-27_final.stac-item
2023-03-06 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2023-03-06_final.stac-item
2023-04-05 11:32:47	ga_s2bm_ard_3-2-1_51KWV_2023-04-05_final.stac-item
2023-04-24 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-04-24_final.stac-item
2023-05-14 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-05-14_final.stac-item
2023-05-21 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2023-05-21_final.stac-item
2023-07-04 11:36:37	ga_s2bm_ard_3-2-1_51HTE_2023-07-04_final.stac-item
2023-07-07 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-07-07_final.stac-item
2023-09-05 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2023-09-05_final.stac-item
2023-10-11 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-10-11_final.stac-item
2024-01-03 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2024-01-03_final.stac-item
2024-01-17 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2024-01-17_final.stac-item
2024-01-24 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2024-01-24_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