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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JLL_2017-09-09_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_50KKA_2017-09-15_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KYT_2018-06-20_final
2018-07-16 11:46:03	ga_s2bm_ard_3-2-1_50KQG_2018-07-16_final.stac-item
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51LUE_2018-10-01_final
2018-11-07 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2018-11-07_final
2018-11-07 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2018-11-07_final
2018-11-07 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2018-11-07_final
2018-11-20 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2018-11-20_final
2018-11-30 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2018-11-30_final
2018-12-16 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2018-12-16_final
2018-12-27 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2018-12-27_final
2019-01-09 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2019-01-09_final
2019-01-12 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2019-01-12_final
2019-01-16 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-01-16_final
2019-04-19 11:41:24	ga_s2bm_ard_3-2-1_51LUF_2019-04-19_final
2019-04-19 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2019-04-19_final
2019-05-29 11:43:23	ga_s2bm_ard_3-2-1_51KUT_2019-05-29_final
2019-06-16 11:06:31	ga_s2bm_ard_3-2-1_52HBK_2019-06-16_final
2019-06-25 11:33:53	ga_s2bm_ard_3-2-1_51KVR_2019-06-25_final
2019-06-27 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-06-27_final
2019-07-01 11:53:30	ga_s2bm_ard_3-2-1_50KPC_2019-07-01_final
2019-08-11 11:23:35	ga_s2bm_ard_3-2-1_51KXS_2019-08-11_final
2019-10-26 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-10-26_final
2019-12-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-12-25_final
2020-01-01 11:33:58	ga_s2bm_ard_3-2-1_51KUQ_2020-01-01_final
2020-01-14 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-01-14_final
2020-01-28 11:23:17	ga_s2bm_ard_3-2-1_51KYS_2020-01-28_final
2020-02-07 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2020-02-07_final
2020-02-19 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2020-02-19_final
2020-02-20 11:34:36	ga_s2bm_ard_3-2-1_51JWM_2020-02-20_final
2020-03-09 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2020-03-09_final
2020-03-14 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2020-03-14_final
2020-03-25 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2020-03-25_final
2020-04-10 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-04-10_final
2020-05-03 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2020-05-03_final.stac-item
2020-06-19 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2020-06-19_final
2020-07-02 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-07-02_final
2020-09-17 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2020-09-17_final
2020-10-04 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2020-10-04_final
2020-11-06 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-11-06_final
2020-11-16 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2020-11-16_final
2020-11-19 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2020-11-19_final
2020-11-23 11:22:38	ga_s2bm_ard_3-2-1_51KZV_2020-11-23_final
2020-11-23 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2020-11-23_final
2021-01-04 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-01-04_final
2021-01-15 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-01-15_final
2021-01-15 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-01-15_final
2021-01-25 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2021-01-25_final
2021-02-14 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2021-02-14_final
2021-02-14 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2021-02-14_final
2021-02-14 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2021-02-14_final
2021-03-06 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-03-06_final
2021-04-08 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2021-04-08_final
2021-05-08 11:41:16	ga_s2bm_ard_3-2-1_51LUF_2021-05-08_final
2021-06-17 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2021-06-17_final
2021-06-28 11:14:53	ga_s2bm_ard_3-2-1_52JBR_2021-06-28_final
2021-07-17 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2021-07-17_final
2021-07-27 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2021-07-27_final
2021-08-23 11:34:48	ga_s2bm_ard_3-2-1_51JTM_2021-08-23_final
2021-09-25 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2021-09-25_final
2021-11-01 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-11-01_final
2021-11-18 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2021-11-18_final
2021-11-18 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2021-11-18_final
2021-11-21 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2021-11-21_final
2021-11-24 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2021-11-24_final
2021-12-21 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2021-12-21_final
2021-12-31 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2021-12-31_final
2022-01-30 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2022-01-30_final
2022-02-19 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2022-02-19_final
2022-05-03 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2022-05-03_final
2022-05-03 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-05-03_final
2022-06-10 11:06:23	ga_s2bm_ard_3-2-1_52HCK_2022-06-10_final.stac-item
2022-06-22 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2022-06-22_final
2022-08-31 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2022-08-31_final
2022-09-10 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2022-09-10_final.stac-item
2022-09-27 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2022-09-27_final.stac-item
2022-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2022-11-06_final.stac-item
2022-11-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-11-12_final.stac-item
2022-12-02 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-12-02_final.stac-item
2023-01-05 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2023-01-05_final.stac-item
2023-01-15 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-01-15_final.stac-item
2023-03-26 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2023-03-26_final.stac-item
2023-03-29 11:45:35	ga_s2bm_ard_3-2-1_50JQP_2023-03-29_final.stac-item
2023-06-16 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-06-16_final.stac-item
2023-10-12 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-10-12_final.stac-item
2023-10-22 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2023-10-22_final.stac-item
2023-11-08 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2023-11-08_final.stac-item
2023-12-01 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2023-12-01_final.stac-item
2023-12-01 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-12-01_final.stac-item
2023-12-14 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2023-12-14_final.stac-item
2023-12-18 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2023-12-18_final.stac-item
2023-12-24 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2023-12-24_final.stac-item
2024-01-27 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2024-01-27_final.stac-item
2024-02-22 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2024-02-22_final.stac-item
2024-02-25 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2024-02-25_final.stac-item
2024-02-29 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2024-02-29_final.stac-item
2024-04-12 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-04-12_final.stac-item
2024-04-26 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2024-04-26_final.stac-item
2024-04-29 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2024-04-29_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