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
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2017-08-10_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51JYJ_2017-11-09_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JNH_2017-11-14_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KXT_2017-11-19_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51JTL_2017-12-05_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52JBR_2018-01-25_final
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_53JPF_2018-02-12_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LHN_2018-02-24_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53KQS_2018-03-07_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KYR_2018-05-08_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HMH_2018-06-26_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HLH_2018-07-16_final
2018-10-04 10:13:40	ga_s2bm_ard_3-2-1_54HTF_2018-10-04_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HNK_2018-11-03_final
2018-11-19 10:36:14	ga_s2bm_ard_3-2-1_53HPD_2018-11-19_final
2018-12-09 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2018-12-09_final
2018-12-14 11:23:04	ga_s2bm_ard_3-2-1_51KYT_2018-12-14_final
2019-01-06 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2019-01-06_final
2019-01-11 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2019-01-11_final
2019-03-17 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2019-03-17_final
2019-03-19 10:34:02	ga_s2bm_ard_3-2-1_53JQN_2019-03-19_final
2019-04-17 11:03:22	ga_s2bm_ard_3-2-1_52KFB_2019-04-17_final
2019-05-25 10:26:49	ga_s2bm_ard_3-2-1_54HUG_2019-05-25_final
2019-06-11 11:56:07	ga_s2bm_ard_3-2-1_50JKN_2019-06-11_final
2019-08-09 10:43:04	ga_s2bm_ard_3-2-1_53KMT_2019-08-09_final
2019-08-14 09:57:29	ga_s2bm_ard_3-2-1_54HYD_2019-08-14_final
2019-08-18 11:13:21	ga_s2bm_ard_3-2-1_52KEB_2019-08-18_final
2019-09-20 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2019-09-20_final
2019-10-16 10:05:57	ga_s2bm_ard_3-2-1_54HXK_2019-10-16_final
2019-11-29 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2019-11-29_final
2019-12-13 11:06:01	ga_s2bm_ard_3-2-1_52JCL_2019-12-13_final
2020-01-20 10:26:38	ga_s2bm_ard_3-2-1_54HTG_2020-01-20_final
2020-01-23 10:36:22	ga_s2bm_ard_3-2-1_53HLD_2020-01-23_final
2020-03-14 10:06:32	ga_s2bm_ard_3-2-1_54HVH_2020-03-14_final
2020-04-05 10:46:18	ga_s2bm_ard_3-2-1_53HMD_2020-04-05_final
2020-05-13 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2020-05-13_final
2020-06-13 11:13:42	ga_s2bm_ard_3-2-1_52KBA_2020-06-13_final
2020-07-02 11:43:38	ga_s2bm_ard_3-2-1_50KQB_2020-07-02_final
2020-11-20 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2020-11-20_final.stac-item
2020-11-28 10:36:24	ga_s2bm_ard_3-2-1_53HMD_2020-11-28_final
2020-12-10 11:16:00	ga_s2bm_ard_3-2-1_52JCL_2020-12-10_final
2020-12-11 10:43:09	ga_s2bm_ard_3-2-1_53KMS_2020-12-11_final
2020-12-24 10:53:07	ga_s2bm_ard_3-2-1_53KLS_2020-12-24_final
2021-01-13 10:52:44	ga_s2bm_ard_3-2-1_52KHD_2021-01-13_final
2021-01-16 11:00:43	ga_s2bm_ard_3-2-1_53LKG_2021-01-16_final
2021-01-30 10:46:06	ga_s2bm_ard_3-2-1_53HME_2021-01-30_final
2021-02-03 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2021-02-03_final
2021-03-16 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-03-16_final
2021-04-17 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-04-17_final
2021-05-18 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-05-18_final
2021-05-25 09:57:46	ga_s2bm_ard_3-2-1_54HWC_2021-05-25_final
2021-06-11 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2021-06-11_final
2021-06-17 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2021-06-17_final
2021-06-23 10:24:52	ga_s2bm_ard_3-2-1_53JQK_2021-06-23_final
2021-07-05 11:05:06	ga_s2bm_ard_3-2-1_52JDQ_2021-07-05_final
2021-08-09 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2021-08-09_final
2021-08-13 09:57:17	ga_s2bm_ard_3-2-1_54HXE_2021-08-13_final
2021-10-16 11:15:01	ga_s2bm_ard_3-2-1_52JDQ_2021-10-16_final
2021-10-20 10:54:35	ga_s2bm_ard_3-2-1_52JFS_2021-10-20_final
2021-11-08 11:22:05	ga_s2bm_ard_3-2-1_52KCG_2021-11-08_final
2021-11-18 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2021-11-18_final
2021-11-23 10:34:22	ga_s2bm_ard_3-2-1_53JNM_2021-11-23_final
2022-02-22 10:07:35	ga_s2bm_ard_3-2-1_54HWC_2022-02-22_final
2022-03-01 09:57:37	ga_s2bm_ard_3-2-1_54HXC_2022-03-01_final
2022-03-04 10:06:22	ga_s2bm_ard_3-2-1_54HXH_2022-03-04_final
2022-03-08 11:26:33	ga_s2bm_ard_3-2-1_51HXD_2022-03-08_final
2022-03-31 09:56:42	ga_s2bm_ard_3-2-1_54HXG_2022-03-31_final
2022-04-19 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2022-04-19_final
2022-05-21 11:01:04	ga_s2bm_ard_3-2-1_53LLE_2022-05-21_final
2022-05-29 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2022-05-29_final
2022-06-23 11:14:14	ga_s2bm_ard_3-2-1_52KBU_2022-06-23_final
2022-07-28 12:03:31	ga_s2bm_ard_3-2-1_50KLC_2022-07-28_final
2022-08-17 10:27:02	ga_s2bm_ard_3-2-1_54HTF_2022-08-17_final
2022-09-03 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2022-09-03_final.stac-item
2022-09-04 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2022-09-04_final.stac-item
2022-09-30 11:44:52	ga_s2bm_ard_3-2-1_50JPS_2022-09-30_final.stac-item
2022-10-01 11:11:26	ga_s2bm_ard_3-2-1_52LGJ_2022-10-01_final.stac-item
2022-10-10 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-10-10_final.stac-item
2022-11-23 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2022-11-23_final.stac-item
2023-01-05 11:32:48	ga_s2bm_ard_3-2-1_51KYU_2023-01-05_final.stac-item
2023-01-10 10:44:46	ga_s2bm_ard_3-2-1_53JNK_2023-01-10_final.stac-item
2023-01-28 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2023-01-28_final.stac-item
2023-02-08 11:12:15	ga_s2bm_ard_3-2-1_52KEF_2023-02-08_final.stac-item
2023-02-25 11:04:25	ga_s2bm_ard_3-2-1_52JGS_2023-02-25_final.stac-item
2023-02-28 11:11:49	ga_s2bm_ard_3-2-1_52LEH_2023-02-28_final.stac-item
2023-03-30 11:14:53	ga_s2bm_ard_3-2-1_52JCR_2023-03-30_final.stac-item
2023-03-31 10:40:51	ga_s2bm_ard_3-2-1_53LPF_2023-03-31_final.stac-item
2023-05-15 11:31:22	ga_s2bm_ard_3-2-1_52LBK_2023-05-15_final.stac-item
2023-07-05 11:04:30	ga_s2bm_ard_3-2-1_52JGS_2023-07-05_final.stac-item
2023-07-08 11:14:29	ga_s2bm_ard_3-2-1_52JBT_2023-07-08_final.stac-item
2023-07-14 09:57:45	ga_s2bm_ard_3-2-1_54HXC_2023-07-14_final.stac-item
2023-08-29 11:56:34	ga_s2bm_ard_3-2-1_50HNK_2023-08-29_final.stac-item
2023-09-09 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-09-09_final.stac-item
2023-11-04 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2023-11-04_final.stac-item
2023-12-24 11:42:32	ga_s2bm_ard_3-2-1_51KUA_2023-12-24_final.stac-item
2024-01-12 10:32:17	ga_s2bm_ard_3-2-1_53KRV_2024-01-12_final.stac-item
2024-01-14 11:11:47	ga_s2bm_ard_3-2-1_52LEH_2024-01-14_final.stac-item
2024-03-02 10:35:20	ga_s2bm_ard_3-2-1_53JNH_2024-03-02_final.stac-item
2024-03-08 10:52:35	ga_s2bm_ard_3-2-1_53KLU_2024-03-08_final.stac-item
2024-03-23 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2024-03-23_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