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
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50KRD_2017-10-19_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLG_2018-01-07_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLH_2018-01-14_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLG_2018-02-06_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KRC_2018-02-26_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50JPL_2018-03-12_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMG_2018-03-15_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KUS_2018-05-24_final
2018-08-12 11:39:53	ga_s2bm_ard_3-2-1_51LWC_2018-08-12_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPJ_2018-08-22_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNH_2018-09-11_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KWT_2018-09-18_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KWV_2018-09-28_final
2018-11-20 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2018-11-20_final
2018-11-27 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2018-11-27_final
2018-12-07 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2018-12-07_final
2018-12-27 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2018-12-27_final
2018-12-27 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2018-12-27_final
2018-12-27 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2018-12-27_final
2018-12-27 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2018-12-27_final
2018-12-30 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2018-12-30_final
2019-01-06 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2019-01-06_final
2019-01-06 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2019-01-06_final
2019-01-13 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2019-01-13_final
2019-05-05 12:06:15	ga_s2bm_ard_3-2-1_50JLM_2019-05-05_final
2019-05-15 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-15_final
2019-07-06 11:04:52	ga_s2bm_ard_3-2-1_52JFR_2019-07-06_final
2019-07-08 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-07-08_final
2019-07-22 11:26:50	ga_s2bm_ard_3-2-1_51HVD_2019-07-22_final
2019-08-03 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-08-03_final
2019-08-04 11:33:53	ga_s2bm_ard_3-2-1_51KVR_2019-08-04_final
2019-10-03 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2019-10-03_final
2019-10-03 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2019-10-03_final
2019-11-25 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2019-11-25_final
2019-11-25 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2019-11-25_final
2019-12-15 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2019-12-15_final
2019-12-22 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-22_final
2019-12-22 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2019-12-22_final
2019-12-22 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2019-12-22_final
2019-12-22 11:36:56	ga_s2bm_ard_3-2-1_51HTC_2019-12-22_final
2020-01-07 11:53:30	ga_s2bm_ard_3-2-1_50KPB_2020-01-07_final
2020-02-04 11:16:34	ga_s2bm_ard_3-2-1_51HXD_2020-02-04_final
2020-02-13 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2020-02-13_final
2020-02-26 11:52:56	ga_s2bm_ard_3-2-1_50KRD_2020-02-26_final
2020-03-01 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2020-03-01_final
2020-03-08 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2020-03-08_final
2020-03-31 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2020-03-31_final
2020-04-20 11:33:08	ga_s2bm_ard_3-2-1_51KWT_2020-04-20_final
2020-05-30 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2020-05-30_final
2020-06-30 11:06:20	ga_s2bm_ard_3-2-1_52HDK_2020-06-30_final.stac-item
2020-09-07 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-09-07_final
2020-09-20 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2020-09-20_final
2020-10-11 11:16:12	ga_s2bm_ard_3-2-1_51JYF_2020-10-11_final
2020-10-19 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-10-19_final.stac-item
2020-10-27 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2020-10-27_final
2020-12-16 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2020-12-16_final
2020-12-22 11:52:55	ga_s2bm_ard_3-2-1_50KRD_2020-12-22_final
2020-12-26 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2020-12-26_final
2021-01-12 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2021-01-12_final
2021-01-15 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-01-15_final
2021-01-15 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2021-01-15_final
2021-01-28 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-01-28_final
2021-02-04 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-02-04_final
2021-02-10 11:52:58	ga_s2bm_ard_3-2-1_50KRD_2021-02-10_final
2021-03-05 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2021-03-05_final
2021-04-02 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2021-04-02_final
2021-04-22 11:26:49	ga_s2bm_ard_3-2-1_51HWC_2021-04-22_final.stac-item
2021-05-13 10:55:59	ga_s2bm_ard_3-2-1_52JFL_2021-05-13_final
2021-07-27 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-27_final
2021-08-15 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-08-15_final
2021-09-02 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2021-09-02_final
2021-10-26 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2021-10-26_final
2021-11-04 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2021-11-04_final
2021-11-24 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2021-11-24_final
2021-11-25 11:14:03	ga_s2bm_ard_3-2-1_52JET_2021-11-25_final
2021-12-04 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2021-12-04_final
2021-12-31 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2021-12-31_final
2022-01-03 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-01-03_final
2022-04-23 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-04-23_final
2022-05-13 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2022-05-13_final
2022-06-19 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2022-06-19_final
2022-09-10 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2022-09-10_final.stac-item
2022-12-10 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2022-12-10_final.stac-item
2022-12-10 11:16:55	ga_s2bm_ard_3-2-1_51HWC_2022-12-10_final.stac-item
2022-12-16 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2022-12-16_final.stac-item
2022-12-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-12-26_final.stac-item
2022-12-26 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2022-12-26_final.stac-item
2023-01-15 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2023-01-15_final.stac-item
2023-01-28 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-01-28_final.stac-item
2023-04-18 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-04-18_final.stac-item
2023-04-24 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-04-24_final.stac-item
2023-08-07 11:17:04	ga_s2bm_ard_3-2-1_51HWC_2023-08-07_final.stac-item
2023-08-09 11:53:30	ga_s2bm_ard_3-2-1_50KNC_2023-08-09_final.stac-item
2023-11-21 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-11-21_final.stac-item
2024-01-07 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2024-01-07_final.stac-item
2024-02-11 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-02-11_final.stac-item
2024-02-16 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2024-02-16_final.stac-item
2024-03-01 11:04:33	ga_s2bm_ard_3-2-1_52JFR_2024-03-01_final.stac-item
2024-03-11 11:04:11	ga_s2bm_ard_3-2-1_52JFT_2024-03-11_final.stac-item
2024-04-16 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2024-04-16_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