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
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_52KCB_2017-07-19_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_52KCB_2017-10-07_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KVV_2017-12-02_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-05_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_52KBA_2017-12-19_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPJ_2018-01-11_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JRT_2018-01-14_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNJ_2018-04-24_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQM_2018-07-03_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KUS_2018-07-20_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52KCC_2018-09-02_final
2018-09-06 10:51:21	ga_s2bm_ard_3-2-1_52JFR_2018-09-06_final
2018-12-04 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2018-12-04_final
2018-12-20 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2018-12-20_final
2019-01-06 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2019-01-06_final
2019-03-04 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2019-03-04_final
2019-03-13 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2019-03-13_final.stac-item
2019-03-20 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2019-03-20_final
2019-05-06 11:33:10	ga_s2bm_ard_3-2-1_51KYT_2019-05-06_final
2019-05-30 11:14:29	ga_s2bm_ard_3-2-1_52JCT_2019-05-30_final
2019-06-18 11:41:40	ga_s2bm_ard_3-2-1_51LUE_2019-06-18_final
2019-07-25 11:32:53	ga_s2bm_ard_3-2-1_51KYV_2019-07-25_final
2019-10-26 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2019-10-26_final
2019-12-12 11:31:37	ga_s2bm_ard_3-2-1_51LXD_2019-12-12_final
2020-01-01 11:31:52	ga_s2bm_ard_3-2-1_51LXC_2020-01-01_final
2020-03-11 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2020-03-11_final
2020-05-14 11:13:47	ga_s2bm_ard_3-2-1_52KDV_2020-05-14_final
2020-06-11 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-06-11_final
2020-06-26 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2020-06-26_final
2020-08-11 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-08-11_final
2020-09-06 12:04:09	ga_s2bm_ard_3-2-1_50KKA_2020-09-06_final
2020-09-21 11:14:11	ga_s2bm_ard_3-2-1_52KBU_2020-09-21_final
2020-09-27 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2020-09-27_final
2020-10-06 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final
2020-11-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-11-02_final
2020-11-19 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2020-11-19_final
2021-01-08 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2021-01-08_final
2021-01-29 11:13:25	ga_s2bm_ard_3-2-1_52KBB_2021-01-29_final
2021-01-29 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2021-01-29_final
2021-02-28 11:13:53	ga_s2bm_ard_3-2-1_52KBV_2021-02-28_final
2021-06-13 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2021-06-13_final
2021-06-17 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2021-06-17_final
2021-07-14 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-07-14_final
2021-08-02 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-08-02_final
2021-08-10 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2021-08-10_final
2021-09-02 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2021-09-02_final
2021-09-18 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-09-18_final
2021-09-22 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2021-09-22_final
2021-10-05 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2021-10-05_final
2021-10-06 11:13:40	ga_s2bm_ard_3-2-1_52KBA_2021-10-06_final
2021-11-04 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-11-04_final.stac-item
2021-11-05 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2021-11-05_final
2022-01-01 11:04:39	ga_s2bm_ard_3-2-1_52JFR_2022-01-01_final
2022-02-13 11:13:33	ga_s2bm_ard_3-2-1_52KBA_2022-02-13_final
2022-03-01 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2022-03-01_final
2022-03-24 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2022-03-24_final
2022-04-07 11:23:32	ga_s2bm_ard_3-2-1_52KBA_2022-04-07_final
2022-04-23 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-04-23_final
2022-04-30 11:32:13	ga_s2bm_ard_3-2-1_51KVB_2022-04-30_final
2022-05-04 11:16:39	ga_s2bm_ard_3-2-1_51HWD_2022-05-04_final
2022-05-07 11:24:00	ga_s2bm_ard_3-2-1_52KBU_2022-05-07_final
2022-06-02 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2022-06-02_final
2022-06-03 11:14:23	ga_s2bm_ard_3-2-1_52JBT_2022-06-03_final
2022-06-05 11:54:12	ga_s2bm_ard_3-2-1_50KMV_2022-06-05_final
2022-07-07 10:55:27	ga_s2bm_ard_3-2-1_52JEP_2022-07-07_final
2022-07-15 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2022-07-15_final.stac-item
2022-07-22 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2022-07-22_final
2022-08-06 10:55:21	ga_s2bm_ard_3-2-1_52JFP_2022-08-06_final
2022-08-14 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2022-08-14_final
2022-08-25 11:23:16	ga_s2bm_ard_3-2-1_52KCB_2022-08-25_final
2022-09-14 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2022-09-14_final.stac-item
2022-10-19 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-10-19_final.stac-item
2022-11-03 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2022-11-03_final.stac-item
2022-11-10 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2022-11-10_final.stac-item
2022-11-14 10:56:04	ga_s2bm_ard_3-2-1_52JFL_2022-11-14_final.stac-item
2022-11-19 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2022-11-19_final.stac-item
2023-01-15 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2023-01-15_final.stac-item
2023-01-26 11:04:48	ga_s2bm_ard_3-2-1_52JDR_2023-01-26_final.stac-item
2023-02-24 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2023-02-24_final.stac-item
2023-02-24 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2023-02-24_final.stac-item
2023-03-26 11:32:46	ga_s2bm_ard_3-2-1_51KWV_2023-03-26_final.stac-item
2023-05-16 11:05:17	ga_s2bm_ard_3-2-1_52JFP_2023-05-16_final.stac-item
2023-06-04 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-06-04_final.stac-item
2023-06-11 11:24:17	ga_s2bm_ard_3-2-1_51KXP_2023-06-11_final.stac-item
2023-06-21 11:26:30	ga_s2bm_ard_3-2-1_51HWE_2023-06-21_final.stac-item
2023-06-24 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-06-24_final.stac-item
2023-07-01 11:26:12	ga_s2bm_ard_3-2-1_51JXF_2023-07-01_final.stac-item
2023-07-28 11:13:39	ga_s2bm_ard_3-2-1_52KDA_2023-07-28_final.stac-item
2023-08-30 11:24:19	ga_s2bm_ard_3-2-1_51KWP_2023-08-30_final.stac-item
2023-09-05 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-09-05_final.stac-item
2023-10-12 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2023-10-12_final.stac-item
2023-10-22 11:32:38	ga_s2bm_ard_3-2-1_51KYV_2023-10-22_final.stac-item
2023-12-01 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2023-12-01_final.stac-item
2023-12-08 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2023-12-08_final.stac-item
2023-12-15 11:13:06	ga_s2bm_ard_3-2-1_52KCC_2023-12-15_final.stac-item
2023-12-17 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2023-12-17_final.stac-item
2024-01-03 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2024-01-03_final.stac-item
2024-01-21 11:04:03	ga_s2bm_ard_3-2-1_52KEU_2024-01-21_final.stac-item
2024-03-09 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2024-03-09_final.stac-item
2024-05-10 11:04:04	ga_s2bm_ard_3-2-1_52KEU_2024-05-10_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