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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JBL_2017-08-28_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JKN_2017-09-02_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HUD_2017-11-12_final
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51HVD_2017-12-19_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KCV_2017-12-26_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYQ_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVL_2018-01-31_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXV_2018-01-31_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KZU_2018-02-17_final
2018-02-18 10:53:07	ga_s2bm_ard_3-2-1_52JFN_2018-02-18_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HQJ_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JKM_2018-04-17_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JWN_2018-06-07_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KVS_2018-07-20_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KXS_2018-07-30_final
2018-12-01 11:13:21	ga_s2bm_ard_3-2-1_52KBB_2018-12-01_final
2019-01-28 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-01-28_final
2019-05-24 10:55:22	ga_s2bm_ard_3-2-1_52JGP_2019-05-24_final
2019-06-08 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-06-08_final
2019-06-08 11:46:16	ga_s2bm_ard_3-2-1_50JNM_2019-06-08_final
2019-08-14 11:36:20	ga_s2bm_ard_3-2-1_51JUF_2019-08-14_final
2019-09-24 11:04:06	ga_s2bm_ard_3-2-1_52KDU_2019-09-24_final
2019-11-29 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2019-11-29_final
2019-11-29 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2019-11-29_final
2020-02-09 12:03:46	ga_s2bm_ard_3-2-1_50KMA_2020-02-09_final
2020-06-02 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2020-06-02_final
2020-06-13 11:14:11	ga_s2bm_ard_3-2-1_52KBU_2020-06-13_final
2020-08-22 11:16:06	ga_s2bm_ard_3-2-1_52JCL_2020-08-22_final
2020-09-06 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-09-06_final
2020-09-14 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2020-09-14_final
2020-10-13 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2020-10-13_final
2020-10-24 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2020-10-24_final
2020-10-27 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2020-10-27_final
2020-10-30 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2020-10-30_final
2020-11-06 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-11-06_final
2020-12-07 11:02:46	ga_s2bm_ard_3-2-1_52KFD_2020-12-07_final
2021-02-28 11:14:28	ga_s2bm_ard_3-2-1_51JYN_2021-02-28_final
2021-03-20 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2021-03-20_final
2021-04-02 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2021-04-02_final
2021-05-15 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2021-05-15_final
2021-06-01 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2021-06-01_final
2021-06-17 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-06-17_final
2021-06-21 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2021-06-21_final
2021-07-02 10:55:29	ga_s2bm_ard_3-2-1_52JGN_2021-07-02_final
2021-07-13 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2021-07-13_final
2021-07-14 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2021-07-14_final
2021-07-20 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2021-07-20_final
2021-09-12 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2021-09-12_final
2021-10-06 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2021-10-06_final
2021-11-18 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2021-11-18_final
2021-11-18 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2021-11-18_final
2021-11-21 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2021-11-21_final
2022-01-17 11:24:07	ga_s2bm_ard_3-2-1_51KXP_2022-01-17_final
2022-01-30 11:32:20	ga_s2bm_ard_3-2-1_51KXA_2022-01-30_final
2022-02-03 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2022-02-03_final
2022-02-03 11:16:02	ga_s2bm_ard_3-2-1_51JYF_2022-02-03_final
2022-02-19 11:32:48	ga_s2bm_ard_3-2-1_51KXU_2022-02-19_final
2022-03-23 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2022-03-23_final
2022-03-27 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-03-27_final
2022-04-03 11:44:56	ga_s2bm_ard_3-2-1_51JTL_2022-04-03_final
2022-04-27 11:25:24	ga_s2bm_ard_3-2-1_51JVJ_2022-04-27_final
2022-05-28 10:55:31	ga_s2bm_ard_3-2-1_52JFN_2022-05-28_final
2022-06-08 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2022-06-08_final
2022-06-18 12:03:37	ga_s2bm_ard_3-2-1_50KNB_2022-06-18_final
2022-07-19 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2022-07-19_final
2022-08-01 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2022-08-01_final
2022-08-02 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2022-08-02_final
2022-08-05 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2022-08-05_final
2022-08-09 11:04:40	ga_s2bm_ard_3-2-1_52JDS_2022-08-09_final
2022-08-15 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2022-08-15_final
2022-10-11 12:50:59	ga_s2bm_ard_3-2-1_48LWP_2022-10-11_final.stac-item
2022-10-25 10:55:30	ga_s2bm_ard_3-2-1_52JFN_2022-10-25_final.stac-item
2022-10-26 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-10-26_final.stac-item
2022-10-30 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-10-30_final.stac-item
2022-11-20 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2022-11-20_final.stac-item
2022-11-23 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2022-11-23_final.stac-item
2022-12-06 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2022-12-06_final.stac-item
2023-02-24 11:32:26	ga_s2bm_ard_3-2-1_51KXA_2023-02-24_final.stac-item
2023-02-24 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2023-02-24_final.stac-item
2023-03-27 11:06:37	ga_s2bm_ard_3-2-1_52HBJ_2023-03-27_nrt.stac-item
2023-03-29 11:44:09	ga_s2bm_ard_3-2-1_50KQV_2023-03-29_final.stac-item
2023-04-12 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2023-04-12_final.stac-item
2023-04-24 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-04-24_final.stac-item
2023-05-05 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2023-05-05_final.stac-item
2023-06-21 11:23:07	ga_s2bm_ard_3-2-1_52KCC_2023-06-21_final.stac-item
2023-07-14 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2023-07-14_final.stac-item
2023-08-10 11:23:16	ga_s2bm_ard_3-2-1_51KYT_2023-08-10_final.stac-item
2023-11-01 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2023-11-01_final.stac-item
2023-11-11 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2023-11-11_final.stac-item
2023-12-09 10:54:44	ga_s2bm_ard_3-2-1_52JFR_2023-12-09_final.stac-item
2023-12-12 11:05:42	ga_s2bm_ard_3-2-1_52JEM_2023-12-12_final.stac-item
2023-12-21 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2023-12-21_final.stac-item
2024-01-20 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2024-01-20_final.stac-item
2024-01-24 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2024-01-24_final.stac-item
2024-02-20 11:02:41	ga_s2bm_ard_3-2-1_52KHD_2024-02-20_final.stac-item
2024-03-01 11:03:00	ga_s2bm_ard_3-2-1_52KFC_2024-03-01_final.stac-item
2024-03-24 11:13:16	ga_s2bm_ard_3-2-1_52KEB_2024-03-24_final.stac-item
2024-04-16 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2024-04-16_final.stac-item
2024-04-19 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2024-04-19_final.stac-item
2024-05-02 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-05-02_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