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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2017-07-01_final
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HUC_2017-09-10_final
2017-10-30 11:20:19	ga_s2bm_ard_3-2-1_51KYR_2017-10-30_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KBC_2017-12-06_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51KZT_2018-01-18_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KXS_2018-03-12_final
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53HLE_2018-05-06_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXU_2018-05-11_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KUB_2018-06-03_final.stac-item
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_51HXD_2018-08-03_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KWT_2018-09-08_final
2018-09-12 11:07:03	ga_s2bm_ard_3-2-1_52KBV_2018-09-12_final
2018-11-11 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2018-11-11_final
2019-02-04 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2019-02-04_final
2019-03-04 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2019-03-04_final
2019-03-17 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2019-03-17_final
2019-05-23 11:24:06	ga_s2bm_ard_3-2-1_51KXQ_2019-05-23_final
2019-05-30 11:13:45	ga_s2bm_ard_3-2-1_52KCA_2019-05-30_final
2019-06-11 11:54:41	ga_s2bm_ard_3-2-1_50JPT_2019-06-11_final
2019-06-12 11:24:09	ga_s2bm_ard_3-2-1_51KWQ_2019-06-12_final
2019-06-25 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2019-06-25_final
2019-08-04 11:32:47	ga_s2bm_ard_3-2-1_51KXV_2019-08-04_final
2019-08-26 10:37:03	ga_s2bm_ard_3-2-1_53HPA_2019-08-26_final
2019-09-13 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-09-13_final
2019-09-23 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2019-09-23_final
2019-10-06 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2019-10-06_final
2019-10-23 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2019-10-23_final
2019-10-26 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2019-10-26_final
2019-12-04 10:36:53	ga_s2bm_ard_3-2-1_53HPA_2019-12-04_final
2020-02-20 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2020-02-20_final
2020-04-14 11:15:47	ga_s2bm_ard_3-2-1_52JBM_2020-04-14_final
2020-04-27 11:23:39	ga_s2bm_ard_3-2-1_51KZQ_2020-04-27_final
2020-05-07 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2020-05-07_final
2020-06-03 11:13:53	ga_s2bm_ard_3-2-1_52KCV_2020-06-03_final
2020-06-19 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2020-06-19_final
2020-06-29 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2020-06-29_final
2020-09-15 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2020-09-15_final
2020-12-30 11:11:14	ga_s2bm_ard_3-2-1_52LFK_2020-12-30_final
2021-02-11 11:23:15	ga_s2bm_ard_3-2-1_52KCB_2021-02-11_final
2021-03-23 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2021-03-23_final
2021-05-15 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2021-05-15_final
2021-06-01 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-06-01_final
2021-06-03 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-06-03_final
2021-07-13 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2021-07-13_final
2021-07-13 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-07-13_final
2021-07-31 11:25:44	ga_s2bm_ard_3-2-1_51JWH_2021-07-31_final
2021-08-03 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-08-03_final
2021-08-30 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2021-08-30_final
2021-10-22 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-10-22_final
2021-11-28 11:23:53	ga_s2bm_ard_3-2-1_51KXQ_2021-11-28_final
2021-12-02 11:05:26	ga_s2bm_ard_3-2-1_52JEN_2021-12-02_final
2021-12-11 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2021-12-11_final
2022-01-11 11:03:30	ga_s2bm_ard_3-2-1_52KEA_2022-01-11_final
2022-02-12 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-12_final
2022-03-08 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2022-03-08_final
2022-03-12 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2022-03-12_final
2022-04-17 11:23:31	ga_s2bm_ard_3-2-1_52KBA_2022-04-17_final
2022-04-17 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2022-04-17_final
2022-04-30 11:32:26	ga_s2bm_ard_3-2-1_51KVA_2022-04-30_final
2022-05-07 11:23:17	ga_s2bm_ard_3-2-1_52KBB_2022-05-07_final
2022-05-26 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2022-05-26_final
2022-06-08 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2022-06-08_final
2022-06-09 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2022-06-09_final
2022-06-12 11:44:30	ga_s2bm_ard_3-2-1_51JUN_2022-06-12_final
2022-06-18 12:05:01	ga_s2bm_ard_3-2-1_50JKS_2022-06-18_final
2022-06-23 11:13:56	ga_s2bm_ard_3-2-1_52KCV_2022-06-23_final
2022-07-09 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2022-07-09_final
2022-07-13 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2022-07-13_final
2022-07-16 11:24:09	ga_s2bm_ard_3-2-1_52KBU_2022-07-16_final
2022-07-29 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2022-07-29_final
2022-09-08 11:03:00	ga_s2bm_ard_3-2-1_52KGC_2022-09-08_final.stac-item
2022-10-01 11:11:39	ga_s2bm_ard_3-2-1_52LEJ_2022-10-01_final.stac-item
2022-10-18 11:02:44	ga_s2bm_ard_3-2-1_52KHD_2022-10-18_final.stac-item
2022-10-21 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2022-10-21_final.stac-item
2022-10-28 11:03:59	ga_s2bm_ard_3-2-1_52KFU_2022-10-28_final.stac-item
2022-11-07 11:03:58	ga_s2bm_ard_3-2-1_52KFU_2022-11-07_final.stac-item
2022-11-20 11:11:26	ga_s2bm_ard_3-2-1_52LGJ_2022-11-20_final.stac-item
2022-12-10 11:13:12	ga_s2bm_ard_3-2-1_52KEB_2022-12-10_final.stac-item
2022-12-19 11:42:20	ga_s2bm_ard_3-2-1_51KWA_2022-12-19_final.stac-item
2023-01-15 11:32:36	ga_s2bm_ard_3-2-1_51KXV_2023-01-15_final.stac-item
2023-02-01 11:22:38	ga_s2bm_ard_3-2-1_51KYV_2023-02-01_final.stac-item
2023-02-01 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2023-02-01_final.stac-item
2023-03-03 11:22:00	ga_s2bm_ard_3-2-1_51LYC_2023-03-03_final.stac-item
2023-05-08 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2023-05-08_final.stac-item
2023-07-11 11:23:08	ga_s2bm_ard_3-2-1_52KCC_2023-07-11_final.stac-item
2023-07-31 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2023-07-31_final.stac-item
2023-09-14 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2023-09-14_final.stac-item
2023-11-03 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2023-11-03_final.stac-item
2023-11-20 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2023-11-20_final.stac-item
2023-12-04 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-12-04_final.stac-item
2023-12-13 10:36:15	ga_s2bm_ard_3-2-1_53HPD_2023-12-13_final.stac-item
2023-12-18 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2023-12-18_final.stac-item
2023-12-25 11:13:02	ga_s2bm_ard_3-2-1_52KEC_2023-12-25_final.stac-item
2024-01-29 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2024-01-29_final.stac-item
2024-02-29 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2024-02-29_final.stac-item
2024-02-29 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2024-02-29_final.stac-item
2024-03-03 11:43:33	ga_s2bm_ard_3-2-1_51KVR_2024-03-03_final.stac-item
2024-03-13 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2024-03-13_final.stac-item
2024-03-13 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2024-03-13_final.stac-item
2024-03-18 10:52:19	ga_s2bm_ard_3-2-1_52KHF_2024-03-18_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