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
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_52KBV_2017-07-19_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2017-08-13_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMK_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNH_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JML_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51JTG_2017-09-16_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_52JCL_2017-09-17_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_52KCG_2017-09-17_final
2017-09-24 11:01:57	ga_s2bm_ard_3-2-1_52KGF_2017-09-24_final
2017-10-01 10:47:09	ga_s2bm_ard_3-2-1_52KHD_2017-10-01_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVF_2017-10-13_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JUF_2017-11-09_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JVF_2017-11-09_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNK_2018-01-14_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HVE_2018-02-07_final
2018-04-27 11:48:10	ga_s2bm_ard_3-2-1_50KMC_2018-04-27_final
2018-04-29 10:47:24	ga_s2bm_ard_3-2-1_52JFL_2018-04-29_final
2018-04-29 10:47:24	ga_s2bm_ard_3-2-1_52JGL_2018-04-29_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51LWC_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50JPL_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50JQL_2018-05-04_final
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KCB_2018-05-05_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_52JFP_2018-05-09_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JKP_2018-05-10_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50JQL_2018-05-11_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KYS_2018-05-18_final
2018-05-22 11:04:22	ga_s2bm_ard_3-2-1_52JCR_2018-05-22_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_52KBF_2018-05-28_final
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51KVU_2018-05-31_final
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51LXD_2018-05-31_final
2018-06-01 10:57:12	ga_s2bm_ard_3-2-1_52KHD_2018-06-01_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52KEA_2018-06-01_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52KEU_2018-06-01_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52KBB_2018-06-17_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KUB_2018-07-03_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KXS_2018-07-07_final
2018-12-20 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2018-12-20_final
2019-02-05 11:36:14	ga_s2bm_ard_3-2-1_51JUF_2019-02-05_final
2019-04-02 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2019-04-02_final
2019-06-16 11:02:33	ga_s2bm_ard_3-2-1_52KHE_2019-06-16_final
2019-07-22 11:23:36	ga_s2bm_ard_3-2-1_52KCA_2019-07-22_final
2019-07-31 11:52:28	ga_s2bm_ard_3-2-1_50KQG_2019-07-31_final.stac-item
2019-08-07 11:41:26	ga_s2bm_ard_3-2-1_51LUF_2019-08-07_final
2019-08-11 11:23:27	ga_s2bm_ard_3-2-1_51KXT_2019-08-11_final
2019-10-11 10:52:32	ga_s2bm_ard_3-2-1_52KHE_2019-10-11_final
2019-11-02 11:36:18	ga_s2bm_ard_3-2-1_51JTF_2019-11-02_final
2019-12-13 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2019-12-13_final
2019-12-19 11:26:09	ga_s2bm_ard_3-2-1_51JVF_2019-12-19_final
2020-02-27 11:26:26	ga_s2bm_ard_3-2-1_51HVE_2020-02-27_final
2020-04-28 10:52:26	ga_s2bm_ard_3-2-1_52KHE_2020-04-28_final
2020-05-04 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2020-05-04_final
2020-06-06 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2020-06-06_final
2020-06-07 10:52:33	ga_s2bm_ard_3-2-1_52KHE_2020-06-07_final
2020-11-19 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2020-11-19_final
2021-01-21 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final
2021-02-10 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-02-10_final
2021-05-23 10:52:31	ga_s2bm_ard_3-2-1_52KHE_2021-05-23_final
2021-07-11 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2021-07-11_final
2021-08-31 10:52:20	ga_s2bm_ard_3-2-1_52KHE_2021-08-31_final
2022-05-18 10:52:25	ga_s2bm_ard_3-2-1_52KHE_2022-05-18_final
2022-06-17 10:52:35	ga_s2bm_ard_3-2-1_52KHE_2022-06-17_final
2022-07-06 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2022-07-06_final
2022-07-06 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2022-07-06_final
2022-07-27 10:55:27	ga_s2bm_ard_3-2-1_52JEP_2022-07-27_final
2022-09-30 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2022-09-30_final.stac-item
2022-11-20 11:11:50	ga_s2bm_ard_3-2-1_52KGG_2022-11-20_final.stac-item
2022-11-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-11-29_final.stac-item
2022-12-10 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2022-12-10_final.stac-item
2023-01-14 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2023-01-14_final.stac-item
2023-01-26 11:00:57	ga_s2bm_ard_3-2-1_52LHL_2023-01-26_final.stac-item
2023-05-12 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2023-05-12_final.stac-item
2023-05-21 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2023-05-21_final.stac-item
2023-05-22 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2023-05-22_final.stac-item
2023-05-24 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-05-24_final.stac-item
2023-05-31 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2023-05-31_final.stac-item
2023-06-01 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2023-06-01_final.stac-item
2023-06-11 11:23:32	ga_s2bm_ard_3-2-1_52KCA_2023-06-11_final.stac-item
2023-07-11 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-07-11_final.stac-item
2023-07-11 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2023-07-11_final.stac-item
2023-07-20 11:53:37	ga_s2bm_ard_3-2-1_50KMC_2023-07-20_final.stac-item
2023-07-28 11:14:00	ga_s2bm_ard_3-2-1_51KZQ_2023-07-28_final.stac-item
2023-07-31 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2023-07-31_final.stac-item
2023-08-01 10:52:25	ga_s2bm_ard_3-2-1_52KHF_2023-08-01_final.stac-item
2023-08-01 10:55:36	ga_s2bm_ard_3-2-1_52JFN_2023-08-01_final.stac-item
2023-08-01 10:56:09	ga_s2bm_ard_3-2-1_52JEL_2023-08-01_final.stac-item
2023-09-03 11:05:27	ga_s2bm_ard_3-2-1_52JCP_2023-09-03_final.stac-item
2023-09-03 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-09-03_final.stac-item
2023-10-10 10:52:32	ga_s2bm_ard_3-2-1_52KHE_2023-10-10_final.stac-item
2023-10-24 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2023-10-24_final.stac-item
2023-10-28 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-10-28_final.stac-item
2023-11-04 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2023-11-04_final.stac-item
2023-11-27 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-11-27_final.stac-item
2023-12-24 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2023-12-24_final.stac-item
2024-01-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2024-01-16_final.stac-item
2024-02-06 11:26:13	ga_s2bm_ard_3-2-1_51JVF_2024-02-06_final.stac-item
2024-02-12 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2024-02-12_final.stac-item
2024-02-19 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2024-02-19_final.stac-item
2024-02-22 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2024-02-22_final.stac-item
2024-03-26 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2024-03-26_final.stac-item
2024-04-05 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2024-04-05_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