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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50KLU_2017-07-24_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JNM_2017-09-05_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JYN_2018-02-07_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_52KBC_2018-03-29_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KZU_2018-05-08_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JDT_2018-05-12_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JDM_2018-06-01_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KWV_2018-06-20_final
2018-06-29 10:26:13	ga_s2bm_ard_3-2-1_53HNC_2018-06-29_final
2018-08-23 11:07:12	ga_s2bm_ard_3-2-1_52LFM_2018-08-23_final.stac-item
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KVQ_2018-09-08_final
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_53KNA_2018-10-13_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_52KCG_2018-11-04_final
2018-11-11 11:13:11	ga_s2bm_ard_3-2-1_52KBC_2018-11-11_final
2018-12-30 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2018-12-30_final
2019-01-10 11:12:22	ga_s2bm_ard_3-2-1_52KCF_2019-01-10_final
2019-01-27 11:04:21	ga_s2bm_ard_3-2-1_52JDT_2019-01-27_final
2019-01-29 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-01-29_final
2019-03-24 11:21:24	ga_s2bm_ard_3-2-1_52LBK_2019-03-24_final
2019-04-06 11:34:06	ga_s2bm_ard_3-2-1_51KUQ_2019-04-06_final
2019-04-20 11:14:44	ga_s2bm_ard_3-2-1_51JZM_2019-04-20_final
2019-04-28 10:34:00	ga_s2bm_ard_3-2-1_53KPP_2019-04-28_final
2019-04-29 11:43:04	ga_s2bm_ard_3-2-1_51KVU_2019-04-29_final
2019-08-26 10:34:04	ga_s2bm_ard_3-2-1_53JRN_2019-08-26_final
2019-10-13 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2019-10-13_final
2019-10-16 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-10-16_final
2019-11-06 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2019-11-06_final
2019-11-27 10:44:13	ga_s2bm_ard_3-2-1_53JPM_2019-11-27_final
2020-01-31 11:32:55	ga_s2bm_ard_3-2-1_51KYT_2020-01-31_final
2020-02-14 11:16:54	ga_s2bm_ard_3-2-1_51HWC_2020-02-14_final.stac-item
2020-03-22 11:02:53	ga_s2bm_ard_3-2-1_52KHC_2020-03-22_final
2020-04-02 10:36:18	ga_s2bm_ard_3-2-1_53HND_2020-04-02_final
2020-05-14 11:13:21	ga_s2bm_ard_3-2-1_52KCB_2020-05-14_final
2020-06-26 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2020-06-26_final
2020-07-21 10:34:38	ga_s2bm_ard_3-2-1_53JPL_2020-07-21_final
2020-07-26 11:23:03	ga_s2bm_ard_3-2-1_51KXU_2020-07-26_final
2020-08-07 12:04:49	ga_s2bm_ard_3-2-1_50JLT_2020-08-07_final
2020-09-06 10:24:07	ga_s2bm_ard_3-2-1_53JRN_2020-09-06_final
2020-09-11 11:13:21	ga_s2bm_ard_3-2-1_52KDB_2020-09-11_final
2020-10-21 11:11:37	ga_s2bm_ard_3-2-1_52LEJ_2020-10-21_final
2020-10-25 10:56:03	ga_s2bm_ard_3-2-1_52JFL_2020-10-25_final
2020-11-03 11:22:01	ga_s2bm_ard_3-2-1_51LYC_2020-11-03_final
2020-11-23 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2020-11-23_final
2020-12-29 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2020-12-29_final
2021-01-22 11:24:43	ga_s2bm_ard_3-2-1_52JBR_2021-01-22_final
2021-01-24 10:24:40	ga_s2bm_ard_3-2-1_53JQL_2021-01-24_final
2021-02-01 11:21:32	ga_s2bm_ard_3-2-1_52LDJ_2021-02-01_final
2021-02-04 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-02-04_final
2021-02-08 11:11:39	ga_s2bm_ard_3-2-1_52LGH_2021-02-08_final
2021-05-17 10:35:55	ga_s2bm_ard_3-2-1_53JMF_2021-05-17_final
2021-06-14 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-06-14_final
2021-06-29 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2021-06-29_final
2021-09-11 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2021-09-11_final
2021-09-15 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2021-09-15_final
2021-09-27 10:44:37	ga_s2bm_ard_3-2-1_53JML_2021-09-27_final
2021-12-09 10:55:33	ga_s2bm_ard_3-2-1_52JFN_2021-12-09_final
2021-12-18 11:23:00	ga_s2bm_ard_3-2-1_52KBC_2021-12-18_final
2022-01-07 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2022-01-07_final
2022-01-07 11:24:11	ga_s2bm_ard_3-2-1_51KWP_2022-01-07_final
2022-01-14 11:13:11	ga_s2bm_ard_3-2-1_52KEB_2022-01-14_final
2022-01-20 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2022-01-20_final
2022-02-12 11:40:51	ga_s2bm_ard_3-2-1_51LWG_2022-02-12_final.stac-item
2022-02-12 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2022-02-12_final
2022-03-22 11:04:19	ga_s2bm_ard_3-2-1_52JDT_2022-03-22_final
2022-04-25 10:45:02	ga_s2bm_ard_3-2-1_53JMJ_2022-04-25_final
2022-04-28 10:55:10	ga_s2bm_ard_3-2-1_52JFP_2022-04-28_final
2022-05-12 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-05-12_final
2022-07-18 10:24:21	ga_s2bm_ard_3-2-1_53JRM_2022-07-18_final
2022-07-23 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2022-07-23_final
2022-08-02 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2022-08-02_final
2022-10-25 10:54:21	ga_s2bm_ard_3-2-1_52JFT_2022-10-25_final.stac-item
2022-10-26 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2022-10-26_final.stac-item
2022-11-07 11:04:26	ga_s2bm_ard_3-2-1_52JDS_2022-11-07_final.stac-item
2022-12-29 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2022-12-29_final.stac-item
2022-12-29 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-12-29_final.stac-item
2023-02-01 11:22:30	ga_s2bm_ard_3-2-1_52KCE_2023-02-01_final.stac-item
2023-02-11 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2023-02-11_final.stac-item
2023-02-21 11:21:53	ga_s2bm_ard_3-2-1_52LBH_2023-02-21_final.stac-item
2023-03-06 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2023-03-06_final.stac-item
2023-04-08 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-04-08_final.stac-item
2023-05-15 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2023-05-15_final.stac-item
2023-05-18 11:46:13	ga_s2bm_ard_3-2-1_50JNM_2023-05-18_final.stac-item
2023-05-27 10:36:11	ga_s2bm_ard_3-2-1_53HNE_2023-05-27_final.stac-item
2023-06-05 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-06-05_final.stac-item
2023-06-12 10:55:18	ga_s2bm_ard_3-2-1_52JGP_2023-06-12_final.stac-item
2023-06-14 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2023-06-14_final.stac-item
2023-09-16 11:13:25	ga_s2bm_ard_3-2-1_52KEA_2023-09-16_final.stac-item
2023-10-16 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2023-10-16_final.stac-item
2023-10-26 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2023-10-26_final.stac-item
2023-11-05 11:13:51	ga_s2bm_ard_3-2-1_52KDV_2023-11-05_final.stac-item
2023-11-22 11:02:16	ga_s2bm_ard_3-2-1_52KFF_2023-11-22_final.stac-item
2023-11-25 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2023-11-25_final.stac-item
2023-12-08 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2023-12-08_final.stac-item
2024-01-15 10:45:54	ga_s2bm_ard_3-2-1_53JLF_2024-01-15_final.stac-item
2024-02-01 10:34:36	ga_s2bm_ard_3-2-1_53JNL_2024-02-01_final.stac-item
2024-02-11 10:34:48	ga_s2bm_ard_3-2-1_53JQK_2024-02-11_final.stac-item
2024-02-24 10:42:32	ga_s2bm_ard_3-2-1_53KQU_2024-02-24_final.stac-item
2024-02-26 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2024-02-26_final.stac-item
2024-03-02 10:32:49	ga_s2bm_ard_3-2-1_53KQT_2024-03-02_final.stac-item
2024-03-13 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2024-03-13_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