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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KUS_2017-07-05_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVV_2017-07-18_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51LWG_2017-11-05_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-11-11_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXQ_2017-11-22_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KXQ_2018-02-10_final
2018-04-21 11:26:19	ga_s2bm_ard_3-2-1_51KXT_2018-04-21_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXQ_2018-06-10_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KUS_2018-06-13_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KWP_2018-07-17_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KXR_2018-11-04_final
2018-11-10 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2018-11-10_final
2018-12-07 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2018-12-07_final
2019-01-06 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2019-01-06_final
2019-01-06 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2019-01-06_final
2019-02-02 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2019-02-02_final
2019-02-15 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-02-15_final
2019-03-04 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2019-03-04_final
2019-04-15 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2019-04-15_final
2019-07-01 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2019-07-01_final
2019-07-08 11:43:05	ga_s2bm_ard_3-2-1_51KVU_2019-07-08_final
2019-08-24 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2019-08-24_final
2019-11-02 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2019-11-02_final
2019-11-29 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2019-11-29_final
2019-12-02 11:32:35	ga_s2bm_ard_3-2-1_51KXV_2019-12-02_final
2019-12-22 11:33:37	ga_s2bm_ard_3-2-1_51KWR_2019-12-22_final
2019-12-25 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2019-12-25_final
2020-01-19 10:55:54	ga_s2bm_ard_3-2-1_52JFL_2020-01-19_final
2020-02-13 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2020-02-13_final
2020-03-24 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2020-03-24_final
2020-03-31 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-03-31_final
2020-04-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2020-04-09_final
2020-05-20 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2020-05-20_final
2020-06-13 11:13:17	ga_s2bm_ard_3-2-1_52KBC_2020-06-13_final
2020-06-16 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2020-06-16_final
2020-06-29 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-29_final
2020-07-20 11:04:26	ga_s2bm_ard_3-2-1_52JGS_2020-07-20_final
2020-07-29 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2020-07-29_final
2020-08-15 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2020-08-15_final
2020-09-04 11:24:11	ga_s2bm_ard_3-2-1_51KYP_2020-09-04_final
2020-09-07 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-09-07_final
2020-10-09 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2020-10-09_final
2020-10-10 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-10-10_final
2020-10-24 11:22:55	ga_s2bm_ard_3-2-1_52KBD_2020-10-24_final
2020-11-29 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2020-11-29_final
2021-02-01 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-02-01_final
2021-03-28 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-03-28_final
2021-04-25 11:32:35	ga_s2bm_ard_3-2-1_51KXV_2021-04-25_final
2021-06-27 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2021-06-27_final
2021-07-07 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2021-07-07_final
2021-08-06 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-08-06_final
2021-08-06 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-08-06_final
2021-08-09 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-08-09_final
2021-08-25 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-08-25_final
2021-09-05 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2021-09-05_final
2021-09-26 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2021-09-26_final
2021-10-28 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-10-28_final
2021-11-08 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2021-11-08_final
2021-12-13 12:14:33	ga_s2bm_ard_3-2-1_49JFN_2021-12-13_final
2021-12-21 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2021-12-21_final
2022-01-07 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2022-01-07_final
2022-02-16 11:23:33	ga_s2bm_ard_3-2-1_51KYR_2022-02-16_final
2022-04-08 10:55:39	ga_s2bm_ard_3-2-1_52JGM_2022-04-08_final
2022-04-10 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2022-04-10_final
2022-04-13 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-04-13_final
2022-06-02 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-06-02_final
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final
2022-06-21 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-06-21_final
2022-09-07 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2022-09-07_final.stac-item
2022-10-07 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2022-10-07_final.stac-item
2022-11-30 11:13:24	ga_s2bm_ard_3-2-1_52KBB_2022-11-30_final.stac-item
2022-12-03 11:22:54	ga_s2bm_ard_3-2-1_51KXU_2022-12-03_final.stac-item
2023-01-05 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2023-01-05_final.stac-item
2023-02-01 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2023-02-01_final.stac-item
2023-02-08 11:14:07	ga_s2bm_ard_3-2-1_52KBU_2023-02-08_final.stac-item
2023-02-17 11:41:16	ga_s2bm_ard_3-2-1_51LUF_2023-02-17_final.stac-item
2023-02-24 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2023-02-24_final.stac-item
2023-03-09 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-03-09_final.stac-item
2023-03-23 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2023-03-23_final.stac-item
2023-04-18 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2023-04-18_final.stac-item
2023-04-25 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2023-04-25_final.stac-item
2023-04-28 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2023-04-28_final.stac-item
2023-06-24 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2023-06-24_final.stac-item
2023-07-07 11:41:03	ga_s2bm_ard_3-2-1_51LWG_2023-07-07_final.stac-item
2023-07-17 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2023-07-17_final.stac-item
2023-07-21 11:23:56	ga_s2bm_ard_3-2-1_51KZQ_2023-07-21_final.stac-item
2023-08-17 11:14:14	ga_s2bm_ard_3-2-1_51KZP_2023-08-17_final.stac-item
2023-08-23 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-08-23_final.stac-item
2023-10-25 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-10-25_final.stac-item
2023-11-20 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2023-11-20_final.stac-item
2023-12-17 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2023-12-17_final.stac-item
2023-12-24 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2023-12-24_final.stac-item
2023-12-27 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2023-12-27_final.stac-item
2024-02-09 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2024-02-09_final.stac-item
2024-03-01 11:04:09	ga_s2bm_ard_3-2-1_52JGT_2024-03-01_final.stac-item
2024-03-03 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2024-03-03_final.stac-item
2024-03-03 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2024-03-03_final.stac-item
2024-03-23 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-03-23_final.stac-item
2024-04-19 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2024-04-19_final.stac-item
2024-04-25 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2024-04-25_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