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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KPC_2017-07-11_final
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53JMJ_2018-01-23_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JDT_2018-02-01_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51HYE_2018-02-24_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50KKB_2018-03-21_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51LUF_2018-05-14_final
2018-06-02 10:27:04	ga_s2bm_ard_3-2-1_53JQN_2018-06-02_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KUQ_2018-06-10_final
2018-09-07 10:22:40	ga_s2bm_ard_3-2-1_53JRM_2018-09-07_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50KQD_2018-09-14_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLK_2018-10-14_final
2018-10-20 10:31:25	ga_s2bm_ard_3-2-1_53JQN_2018-10-20_final
2018-11-17 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2018-11-17_final
2018-12-30 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2018-12-30_final
2019-02-27 10:34:02	ga_s2bm_ard_3-2-1_53JQN_2019-02-27_final
2019-03-10 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2019-03-10_final
2019-03-20 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2019-03-20_final
2019-04-25 12:06:02	ga_s2bm_ard_3-2-1_50JKN_2019-04-25_final
2019-05-26 11:35:10	ga_s2bm_ard_3-2-1_51JUL_2019-05-26_final
2019-06-07 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-06-07_final
2019-06-22 11:23:36	ga_s2bm_ard_3-2-1_51KXS_2019-06-22_final
2019-07-18 11:42:27	ga_s2bm_ard_3-2-1_51KVB_2019-07-18_final
2019-08-19 10:44:26	ga_s2bm_ard_3-2-1_53JNM_2019-08-19_final
2019-08-25 11:05:52	ga_s2bm_ard_3-2-1_52JDM_2019-08-25_final
2019-09-06 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2019-09-06_final
2019-09-13 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2019-09-13_final
2019-09-13 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-09-13_final
2019-09-28 10:44:21	ga_s2bm_ard_3-2-1_53JNM_2019-09-28_final
2019-11-01 10:26:18	ga_s2bm_ard_3-2-1_53HQD_2019-11-01_final
2019-11-12 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2019-11-12_final
2020-01-03 10:34:09	ga_s2bm_ard_3-2-1_53JRM_2020-01-03_final
2020-02-22 10:34:15	ga_s2bm_ard_3-2-1_53JQM_2020-02-22_final
2020-05-29 10:26:37	ga_s2bm_ard_3-2-1_53HPC_2020-05-29_final
2020-06-12 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2020-06-12_final
2020-07-14 10:45:59	ga_s2bm_ard_3-2-1_53JKF_2020-07-14_final
2020-08-18 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2020-08-18_final
2020-08-29 11:00:34	ga_s2bm_ard_3-2-1_52LHN_2020-08-29_final
2020-09-02 10:44:13	ga_s2bm_ard_3-2-1_53JMN_2020-09-02_final
2020-09-06 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-09-06_final
2020-10-08 11:01:21	ga_s2bm_ard_3-2-1_52LGK_2020-10-08_final
2020-11-29 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2020-11-29_final
2020-12-03 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2020-12-03_final
2021-01-27 10:34:32	ga_s2bm_ard_3-2-1_53JQL_2021-01-27_final
2021-02-01 11:21:32	ga_s2bm_ard_3-2-1_52LDJ_2021-02-01_final
2021-02-01 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2021-02-01_final
2021-02-16 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2021-02-16_final
2021-02-28 11:14:28	ga_s2bm_ard_3-2-1_51JYN_2021-02-28_final
2021-03-02 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2021-03-02_final
2021-04-25 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2021-04-25_final
2021-05-18 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2021-05-18_final
2021-06-01 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-06-01_final
2021-06-01 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-06-01_final
2021-08-06 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-08-06_final
2021-11-01 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2021-11-01_final
2021-12-01 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2021-12-01_final
2021-12-16 10:44:14	ga_s2bm_ard_3-2-1_53JNM_2021-12-16_final
2021-12-20 10:24:34	ga_s2bm_ard_3-2-1_53JQL_2021-12-20_final
2022-01-02 10:34:10	ga_s2bm_ard_3-2-1_53JRM_2022-01-02_final
2022-01-20 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2022-01-20_final
2022-01-20 11:34:01	ga_s2bm_ard_3-2-1_51KXP_2022-01-20_final
2022-01-22 10:35:51	ga_s2bm_ard_3-2-1_53JMF_2022-01-22_final
2022-01-29 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2022-01-29_final
2022-02-01 10:35:32	ga_s2bm_ard_3-2-1_53JPG_2022-02-01_final
2022-02-21 10:36:12	ga_s2bm_ard_3-2-1_53HPD_2022-02-21_final
2022-03-20 10:24:17	ga_s2bm_ard_3-2-1_53JRM_2022-03-20_final
2022-03-21 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2022-03-21_final
2022-03-28 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2022-03-28_final
2022-04-13 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2022-04-13_final
2022-06-16 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2022-06-16_final
2022-07-01 10:34:30	ga_s2bm_ard_3-2-1_53JNM_2022-07-01_final
2022-08-08 11:33:17	ga_s2bm_ard_3-2-1_51KWT_2022-08-08_final
2022-09-07 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2022-09-07_final.stac-item
2022-10-19 10:34:46	ga_s2bm_ard_3-2-1_53JQK_2022-10-19_final.stac-item
2022-10-28 11:06:36	ga_s2bm_ard_3-2-1_51HYD_2022-10-28_final.stac-item
2022-10-30 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-10-30_final.stac-item
2022-10-31 11:11:35	ga_s2bm_ard_3-2-1_52LDJ_2022-10-31_final.stac-item
2022-11-20 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2022-11-20_final.stac-item
2022-11-21 10:44:16	ga_s2bm_ard_3-2-1_53JPM_2022-11-21_final.stac-item
2022-12-30 11:12:23	ga_s2bm_ard_3-2-1_52KCF_2022-12-30_final.stac-item
2023-01-04 10:26:39	ga_s2bm_ard_3-2-1_53HNC_2023-01-04_final.stac-item
2023-02-13 12:03:28	ga_s2bm_ard_3-2-1_50KNB_2023-02-13_final.stac-item
2023-02-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2023-02-24_final.stac-item
2023-03-08 10:34:36	ga_s2bm_ard_3-2-1_53JQL_2023-03-08_final.stac-item
2023-03-14 10:55:46	ga_s2bm_ard_3-2-1_52JGM_2023-03-14_final.stac-item
2023-05-30 10:44:25	ga_s2bm_ard_3-2-1_53JNM_2023-05-30_final.stac-item
2023-07-01 11:23:41	ga_s2bm_ard_3-2-1_51KZR_2023-07-01_final.stac-item
2023-07-05 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-07-05_final.stac-item
2023-07-06 10:35:06	ga_s2bm_ard_3-2-1_53JQJ_2023-07-06_final.stac-item
2023-08-09 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-08-09_final.stac-item
2023-08-12 12:04:41	ga_s2bm_ard_3-2-1_50JMT_2023-08-12_final.stac-item
2023-10-02 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2023-10-02_final.stac-item
2023-11-21 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2023-11-21_final.stac-item
2023-11-30 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2023-11-30_final.stac-item
2023-12-10 10:26:37	ga_s2bm_ard_3-2-1_53HNC_2023-12-10_final.stac-item
2023-12-23 10:34:00	ga_s2bm_ard_3-2-1_53JPN_2023-12-23_final.stac-item
2023-12-23 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2023-12-23_final.stac-item
2024-01-07 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2024-01-07_final.stac-item
2024-03-21 11:00:30	ga_s2bm_ard_3-2-1_52LHN_2024-03-21_final.stac-item
2024-03-23 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-03-23_final.stac-item
2024-05-02 11:41:55	ga_s2bm_ard_3-2-1_51LWC_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