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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JMN_2017-07-31_final
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JML_2017-08-30_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52LCH_2018-01-28_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51KYR_2018-02-27_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWT_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JVN_2018-03-02_final
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_52JFQ_2018-04-12_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVA_2018-05-21_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HPJ_2018-05-24_final
2018-07-01 11:03:23	ga_s2bm_ard_3-2-1_52KEV_2018-07-01_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZU_2018-07-17_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNH_2018-08-02_final
2018-10-22 11:07:23	ga_s2bm_ard_3-2-1_52KEG_2018-10-22_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_52KCC_2018-11-04_final
2018-11-08 11:01:37	ga_s2bm_ard_3-2-1_52LFJ_2018-11-08_final
2018-12-01 11:13:24	ga_s2bm_ard_3-2-1_51KZS_2018-12-01_final
2018-12-10 11:42:58	ga_s2bm_ard_3-2-1_50KRD_2018-12-10_final
2019-01-29 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-01-29_final
2019-03-17 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2019-03-17_final
2019-05-09 11:42:20	ga_s2bm_ard_3-2-1_51KVB_2019-05-09_final
2019-05-30 11:13:27	ga_s2bm_ard_3-2-1_52KDB_2019-05-30_final
2019-06-12 11:23:10	ga_s2bm_ard_3-2-1_52KCC_2019-06-12_final
2019-06-26 11:03:03	ga_s2bm_ard_3-2-1_52KHC_2019-06-26_final
2019-06-29 11:13:34	ga_s2bm_ard_3-2-1_52KBB_2019-06-29_final
2019-07-06 11:04:30	ga_s2bm_ard_3-2-1_52JDT_2019-07-06_final
2019-08-30 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2019-08-30_final.stac-item
2019-09-10 11:22:25	ga_s2bm_ard_3-2-1_51KZA_2019-09-10_final
2019-09-23 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2019-09-23_final
2019-11-12 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2019-11-12_final
2019-12-09 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2019-12-09_final
2020-01-12 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2020-01-12_final
2020-01-22 11:05:32	ga_s2bm_ard_3-2-1_52JFM_2020-01-22_final
2020-01-31 11:32:21	ga_s2bm_ard_3-2-1_51KWA_2020-01-31_final
2020-03-08 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2020-03-08_final
2020-03-21 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2020-03-21_final
2020-04-07 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2020-04-07_final
2020-04-16 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2020-04-16_final.stac-item
2020-07-12 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2020-07-12_final
2020-07-25 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-07-25_final
2020-10-27 11:32:43	ga_s2bm_ard_3-2-1_51KXV_2020-10-27_final
2020-11-10 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2020-11-10_final
2020-11-29 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2020-11-29_final
2020-12-20 11:15:26	ga_s2bm_ard_3-2-1_51JXJ_2020-12-20_final
2021-01-09 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2021-01-09_final
2021-02-14 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2021-02-14_final
2021-03-13 11:22:32	ga_s2bm_ard_3-2-1_51KYA_2021-03-13_final
2021-03-26 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-03-26_final.stac-item
2021-04-28 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2021-04-28_final
2021-04-29 11:10:33	ga_s2bm_ard_3-2-1_52LHM_2021-04-29_final
2021-05-15 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-05-15_final
2021-06-24 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-06-24_final
2021-07-02 10:53:58	ga_s2bm_ard_3-2-1_52KHU_2021-07-02_final
2021-08-07 11:13:20	ga_s2bm_ard_3-2-1_52KDB_2021-08-07_final
2021-08-20 11:22:51	ga_s2bm_ard_3-2-1_52KBD_2021-08-20_final
2021-08-20 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2021-08-20_final
2021-09-01 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2021-09-01_final
2021-09-15 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2021-09-15_final
2021-09-26 11:13:35	ga_s2bm_ard_3-2-1_52KCA_2021-09-26_final
2021-10-02 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2021-10-02_final
2021-11-01 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-11-01_final
2021-11-22 11:01:36	ga_s2bm_ard_3-2-1_52LFJ_2021-11-22_final
2021-12-28 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2021-12-28_final
2022-01-14 11:10:25	ga_s2bm_ard_3-2-1_52LGN_2022-01-14_final
2022-01-17 11:26:07	ga_s2bm_ard_3-2-1_51JWF_2022-01-17_final
2022-01-21 11:03:12	ga_s2bm_ard_3-2-1_52KFB_2022-01-21_final
2022-01-24 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2022-01-24_final
2022-01-26 11:53:44	ga_s2bm_ard_3-2-1_50KPA_2022-01-26_final
2022-01-29 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2022-01-29_final
2022-02-12 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2022-02-12_final
2022-04-03 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2022-04-03_final
2022-04-11 11:05:09	ga_s2bm_ard_3-2-1_52JFP_2022-04-11_final
2022-05-10 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2022-05-10_final.stac-item
2022-06-19 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2022-06-19_final
2022-08-17 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2022-08-17_final
2022-09-04 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2022-09-04_final.stac-item
2022-10-04 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2022-10-04_final.stac-item
2022-10-14 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2022-10-14_final.stac-item
2022-10-28 11:02:57	ga_s2bm_ard_3-2-1_52KGC_2022-10-28_final.stac-item
2022-10-30 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2022-10-30_final.stac-item
2022-12-26 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2022-12-26_final.stac-item
2023-01-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2023-01-04_final.stac-item
2023-02-20 11:52:37	ga_s2bm_ard_3-2-1_50KPF_2023-02-20_final.stac-item
2023-03-26 11:35:07	ga_s2bm_ard_3-2-1_51JTL_2023-03-26_final.stac-item
2023-05-04 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2023-05-04_final.stac-item
2023-06-17 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-06-17_final.stac-item
2023-06-18 11:14:07	ga_s2bm_ard_3-2-1_52KDU_2023-06-18_final.stac-item
2023-07-11 11:23:05	ga_s2bm_ard_3-2-1_51KXU_2023-07-11_final.stac-item
2023-09-15 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2023-09-15_final.stac-item
2023-10-12 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2023-10-12_final.stac-item
2023-10-25 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2023-10-25_final.stac-item
2023-11-18 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2023-11-18_final.stac-item
2023-11-28 11:22:38	ga_s2bm_ard_3-2-1_51KYV_2023-11-28_final.stac-item
2023-12-31 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2023-12-31_final.stac-item
2024-01-12 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2024-01-12_final.stac-item
2024-01-27 11:23:12	ga_s2bm_ard_3-2-1_52KBC_2024-01-27_final.stac-item
2024-01-30 11:32:41	ga_s2bm_ard_3-2-1_51KWV_2024-01-30_final.stac-item
2024-03-01 11:01:00	ga_s2bm_ard_3-2-1_52LGL_2024-03-01_final.stac-item
2024-03-07 11:22:55	ga_s2bm_ard_3-2-1_51KXU_2024-03-07_final.stac-item
2024-03-24 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2024-03-24_final.stac-item
2024-04-20 11:02:55	ga_s2bm_ard_3-2-1_52KHC_2024-04-20_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