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
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KXU_2017-10-13_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KZB_2018-01-08_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVA_2018-02-10_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KYT_2018-03-19_final
2018-04-15 11:07:10	ga_s2bm_ard_3-2-1_52KBC_2018-04-15_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPH_2018-06-20_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KUT_2018-07-30_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KWB_2018-10-08_final
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KZQ_2018-10-25_final
2018-11-20 11:42:18	ga_s2bm_ard_3-2-1_51KWA_2018-11-20_final
2018-11-21 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2018-11-21_final
2018-11-21 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2018-11-21_final
2018-11-30 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2018-11-30_final
2018-12-27 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2018-12-27_final
2019-02-25 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2019-02-25_final
2019-02-28 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2019-02-28_final
2019-04-17 11:03:25	ga_s2bm_ard_3-2-1_52KEB_2019-04-17_final
2019-05-26 11:33:39	ga_s2bm_ard_3-2-1_51KVS_2019-05-26_final
2019-08-01 11:23:15	ga_s2bm_ard_3-2-1_51KZT_2019-08-01_final
2019-08-07 11:43:36	ga_s2bm_ard_3-2-1_51KUS_2019-08-07_final
2019-08-08 11:13:26	ga_s2bm_ard_3-2-1_52KDB_2019-08-08_final
2019-08-21 11:23:27	ga_s2bm_ard_3-2-1_51KZS_2019-08-21_final
2019-08-27 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2019-08-27_final
2019-08-30 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2019-08-30_final
2019-09-23 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2019-09-23_final
2019-11-12 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2019-11-12_final
2019-11-16 11:13:14	ga_s2bm_ard_3-2-1_52KEB_2019-11-16_final
2019-11-19 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2019-11-19_final
2019-11-25 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2019-11-25_final
2019-12-06 11:12:47	ga_s2bm_ard_3-2-1_52KCD_2019-12-06_final
2019-12-12 11:31:54	ga_s2bm_ard_3-2-1_51LWC_2019-12-12_final
2019-12-29 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2019-12-29_final
2020-01-18 11:25:39	ga_s2bm_ard_3-2-1_51JVH_2020-01-18_final
2020-01-24 11:46:55	ga_s2bm_ard_3-2-1_50HPH_2020-01-24_final
2020-02-19 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2020-02-19_final
2020-03-14 11:41:16	ga_s2bm_ard_3-2-1_51LUF_2020-03-14_final
2020-04-06 11:52:34	ga_s2bm_ard_3-2-1_50KPF_2020-04-06_final.stac-item
2020-05-04 11:13:12	ga_s2bm_ard_3-2-1_52KEB_2020-05-04_final
2020-06-12 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-06-12_final
2020-06-23 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2020-06-23_final
2020-07-16 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2020-07-16_final
2020-09-07 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-09-07_final
2020-09-26 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-09-26_final
2020-09-27 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-09-27_final
2020-09-29 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2020-09-29_final
2020-12-22 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2020-12-22_final
2020-12-30 11:12:01	ga_s2bm_ard_3-2-1_52KEG_2020-12-30_final
2021-01-03 10:55:30	ga_s2bm_ard_3-2-1_52JFN_2021-01-03_final
2021-01-15 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-01-15_final
2021-02-27 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-02-27_final
2021-03-26 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2021-03-26_final
2021-04-04 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2021-04-04_final
2021-08-20 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2021-08-20_final
2021-08-29 11:56:20	ga_s2bm_ard_3-2-1_50JML_2021-08-29_final
2021-08-29 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2021-08-29_final
2021-09-18 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2021-09-18_final.stac-item
2021-09-25 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2021-09-25_final
2021-10-09 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-10-09_final
2021-10-15 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2021-10-15_final
2021-11-02 11:04:07	ga_s2bm_ard_3-2-1_52KDU_2021-11-02_final
2021-11-25 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2021-11-25_final
2022-03-21 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2022-03-21_final
2022-06-18 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2022-06-18_final
2022-06-23 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2022-06-23_final
2022-06-27 10:55:51	ga_s2bm_ard_3-2-1_52JFM_2022-06-27_final
2022-07-16 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2022-07-16_final
2022-08-27 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2022-08-27_final
2022-09-14 11:24:06	ga_s2bm_ard_3-2-1_52KBU_2022-09-14_final.stac-item
2022-09-24 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2022-09-24_final.stac-item
2022-10-21 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2022-10-21_final.stac-item
2022-11-13 11:22:48	ga_s2bm_ard_3-2-1_52KCD_2022-11-13_final.stac-item
2022-11-22 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-11-22_final.stac-item
2022-12-16 11:32:48	ga_s2bm_ard_3-2-1_51KXU_2022-12-16_final.stac-item
2023-01-18 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2023-01-18_final.stac-item
2023-02-14 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2023-02-14_final.stac-item
2023-02-17 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2023-02-17_final.stac-item
2023-03-16 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2023-03-16_final.stac-item
2023-03-26 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2023-03-26_final.stac-item
2023-06-07 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-06-07_final.stac-item
2023-06-11 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2023-06-11_final.stac-item
2023-06-18 11:14:28	ga_s2bm_ard_3-2-1_52JBT_2023-06-18_final.stac-item
2023-07-18 11:13:50	ga_s2bm_ard_3-2-1_52KEV_2023-07-18_final.stac-item
2023-07-24 11:33:19	ga_s2bm_ard_3-2-1_51KWT_2023-07-24_final.stac-item
2023-09-23 11:06:21	ga_s2bm_ard_3-2-1_52HDK_2023-09-23_final.stac-item
2023-10-02 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2023-10-02_final.stac-item
2023-10-09 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2023-10-09_final.stac-item
2023-10-12 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2023-10-12_final.stac-item
2023-10-22 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2023-10-22_final.stac-item
2023-10-26 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2023-10-26_final.stac-item
2023-11-08 11:25:41	ga_s2bm_ard_3-2-1_51JXH_2023-11-08_final.stac-item
2023-11-23 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2023-11-23_final.stac-item
2023-11-24 11:41:13	ga_s2bm_ard_3-2-1_51LUF_2023-11-24_final.stac-item
2023-11-30 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-11-30_final.stac-item
2023-12-11 11:35:48	ga_s2bm_ard_3-2-1_51JUG_2023-12-11_final.stac-item
2023-12-27 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-12-27_final.stac-item
2023-12-31 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2023-12-31_final.stac-item
2024-01-20 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2024-01-20_final.stac-item
2024-01-20 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2024-01-20_final.stac-item
2024-02-10 11:03:05	ga_s2bm_ard_3-2-1_52KEC_2024-02-10_final.stac-item
2024-02-25 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2024-02-25_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