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
2017-07-10 10:43:08	ga_s2bm_ard_3-2-1_53JNN_2017-07-10_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51HTC_2017-07-12_final
2017-07-20 10:43:06	ga_s2bm_ard_3-2-1_53JPM_2017-07-20_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNK_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HPK_2017-09-16_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53JNJ_2017-09-18_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53JNN_2017-09-18_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53JPN_2017-09-18_final
2017-10-03 11:35:52	ga_s2bm_ard_3-2-1_51HUE_2017-10-03_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51JVF_2017-12-22_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JUF_2017-12-29_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMK_2018-01-14_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMJ_2018-02-03_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KYS_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KZS_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JWF_2018-04-28_final
2018-04-29 10:47:24	ga_s2bm_ard_3-2-1_52KHD_2018-04-29_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KXT_2018-05-01_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNH_2018-05-04_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_51KZQ_2018-05-05_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KMC_2018-05-07_final
2018-05-15 11:07:36	ga_s2bm_ard_3-2-1_52KDB_2018-05-15_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KXT_2018-05-21_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KYT_2018-05-28_final
2018-06-02 10:34:28	ga_s2bm_ard_3-2-1_53JMJ_2018-06-02_final
2018-06-21 10:59:06	ga_s2bm_ard_3-2-1_52KHE_2018-06-21_final
2018-08-01 10:31:02	ga_s2bm_ard_3-2-1_53JMJ_2018-08-01_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KXT_2018-08-06_final
2019-02-21 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2019-02-21_final
2019-03-08 11:05:06	ga_s2bm_ard_3-2-1_52JCQ_2019-03-08_final
2019-04-27 11:06:05	ga_s2bm_ard_3-2-1_52JBM_2019-04-27_final
2019-06-03 10:52:39	ga_s2bm_ard_3-2-1_52KHE_2019-06-03_final
2019-07-17 10:34:22	ga_s2bm_ard_3-2-1_53JNN_2019-07-17_final
2019-07-28 11:43:33	ga_s2bm_ard_3-2-1_51KVS_2019-07-28_final
2019-09-05 10:34:28	ga_s2bm_ard_3-2-1_53JNM_2019-09-05_final
2019-09-11 10:52:32	ga_s2bm_ard_3-2-1_52KHE_2019-09-11_final
2019-10-05 10:34:08	ga_s2bm_ard_3-2-1_53JPN_2019-10-05_final
2020-02-01 11:00:41	ga_s2bm_ard_3-2-1_52LGM_2020-02-01_final
2020-02-13 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-02-13_final
2020-02-26 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-02-26_final
2020-04-12 10:34:14	ga_s2bm_ard_3-2-1_53JQM_2020-04-12_final
2020-05-12 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2020-05-12_final
2020-06-16 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-06-16_final
2020-07-31 10:35:18	ga_s2bm_ard_3-2-1_53JMJ_2020-07-31_final
2020-08-02 11:13:32	ga_s2bm_ard_3-2-1_51KZS_2020-08-02_final
2020-08-13 10:44:20	ga_s2bm_ard_3-2-1_53JPM_2020-08-13_final
2020-08-18 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-08-18_final
2020-10-07 11:36:37	ga_s2bm_ard_3-2-1_51HVD_2020-10-07_final
2020-11-18 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2020-11-18_final
2021-01-21 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final
2021-02-16 10:34:16	ga_s2bm_ard_3-2-1_53JQM_2021-02-16_final
2021-05-07 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2021-05-07_final
2021-05-22 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2021-05-22_final
2021-05-28 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2021-05-28_final
2021-06-06 10:34:08	ga_s2bm_ard_3-2-1_53JPN_2021-06-06_final
2021-07-28 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2021-07-28_final
2021-08-05 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2021-08-05_final
2021-12-24 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2021-12-24_final
2022-02-15 11:52:13	ga_s2bm_ard_3-2-1_50KQG_2022-02-15_final.stac-item
2022-07-11 10:34:12	ga_s2bm_ard_3-2-1_53JPN_2022-07-11_final
2022-08-12 11:13:32	ga_s2bm_ard_3-2-1_51KZS_2022-08-12_final
2022-08-24 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2022-08-24_final.stac-item
2022-09-03 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2022-09-03_final.stac-item
2022-09-19 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2022-09-19_final.stac-item
2022-12-18 10:34:03	ga_s2bm_ard_3-2-1_53JPN_2022-12-18_final.stac-item
2022-12-28 10:34:04	ga_s2bm_ard_3-2-1_53JPN_2022-12-28_final.stac-item
2023-01-17 10:34:04	ga_s2bm_ard_3-2-1_53JPN_2023-01-17_final.stac-item
2023-01-24 10:24:38	ga_s2bm_ard_3-2-1_53JQL_2023-01-24_final.stac-item
2023-01-31 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2023-01-31_final.stac-item
2023-02-20 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-02-20_final.stac-item
2023-02-27 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2023-02-27_final.stac-item
2023-04-09 11:11:14	ga_s2bm_ard_3-2-1_52LGK_2023-04-09_final.stac-item
2023-05-07 10:34:24	ga_s2bm_ard_3-2-1_53JPM_2023-05-07_final.stac-item
2023-05-27 10:34:37	ga_s2bm_ard_3-2-1_53JQL_2023-05-27_final.stac-item
2023-06-01 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2023-06-01_final.stac-item
2023-06-01 11:23:31	ga_s2bm_ard_3-2-1_52KCA_2023-06-01_final.stac-item
2023-06-06 10:34:37	ga_s2bm_ard_3-2-1_53JQL_2023-06-06_final.stac-item
2023-06-13 10:26:37	ga_s2bm_ard_3-2-1_53HQC_2023-06-13_final.stac-item
2023-07-07 11:42:01	ga_s2bm_ard_3-2-1_51LWC_2023-07-07_final.stac-item
2023-07-08 11:13:31	ga_s2bm_ard_3-2-1_52KBB_2023-07-08_final.stac-item
2023-07-16 10:34:38	ga_s2bm_ard_3-2-1_53JQL_2023-07-16_final.stac-item
2023-07-21 11:23:19	ga_s2bm_ard_3-2-1_51KXT_2023-07-21_final.stac-item
2023-07-21 11:23:33	ga_s2bm_ard_3-2-1_52KCA_2023-07-21_final.stac-item
2023-07-21 11:23:34	ga_s2bm_ard_3-2-1_51KXS_2023-07-21_final.stac-item
2023-07-30 11:53:36	ga_s2bm_ard_3-2-1_50KMC_2023-07-30_final.stac-item
2023-08-05 10:34:37	ga_s2bm_ard_3-2-1_53JQL_2023-08-05_final.stac-item
2023-08-06 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2023-08-06_final.stac-item
2023-08-09 10:16:57	ga_s2bm_ard_3-2-1_53HQB_2023-08-09_final.stac-item
2023-08-12 10:24:45	ga_s2bm_ard_3-2-1_53JQL_2023-08-12_final.stac-item
2023-08-31 10:52:35	ga_s2bm_ard_3-2-1_52KHE_2023-08-31_final.stac-item
2023-09-07 10:46:06	ga_s2bm_ard_3-2-1_53JLF_2023-09-07_final.stac-item
2023-09-30 10:52:33	ga_s2bm_ard_3-2-1_52KHE_2023-09-30_final.stac-item
2023-10-14 10:34:20	ga_s2bm_ard_3-2-1_53JQM_2023-10-14_final.stac-item
2023-10-25 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2023-10-25_final.stac-item
2023-11-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-11-27_final.stac-item
2023-12-24 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-12-24_final.stac-item
2024-01-06 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2024-01-06_final.stac-item
2024-01-15 10:44:01	ga_s2bm_ard_3-2-1_53JPN_2024-01-15_final.stac-item
2024-02-01 10:34:04	ga_s2bm_ard_3-2-1_53JPN_2024-02-01_final.stac-item
2024-04-14 10:44:29	ga_s2bm_ard_3-2-1_53JPL_2024-04-14_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