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
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLM_2017-09-22_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53HME_2017-11-27_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KCU_2017-12-06_final
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_53JNN_2018-01-06_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KXU_2018-01-08_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPK_2018-01-11_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KYU_2018-03-02_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51KVT_2018-04-21_final
2018-06-25 10:42:47	ga_s2bm_ard_3-2-1_53JLF_2018-06-25_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KWS_2018-07-10_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KYT_2018-07-27_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JML_2018-09-04_final
2019-01-01 10:46:03	ga_s2bm_ard_3-2-1_53HME_2019-01-01_final
2019-01-16 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2019-01-16_final
2019-04-29 11:46:23	ga_s2bm_ard_3-2-1_50JQL_2019-04-29_final
2019-05-08 10:34:33	ga_s2bm_ard_3-2-1_53JNM_2019-05-08_final
2019-05-26 11:33:17	ga_s2bm_ard_3-2-1_51KXT_2019-05-26_final
2019-06-06 11:03:06	ga_s2bm_ard_3-2-1_52KGC_2019-06-06_final
2019-06-15 11:34:04	ga_s2bm_ard_3-2-1_51KWQ_2019-06-15_final
2019-08-07 11:43:11	ga_s2bm_ard_3-2-1_51KTU_2019-08-07_final
2019-08-28 11:11:09	ga_s2bm_ard_3-2-1_52LEL_2019-08-28_final.stac-item
2019-08-31 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2019-08-31_final
2019-09-08 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2019-09-08_final
2019-09-22 10:26:32	ga_s2bm_ard_3-2-1_53HQC_2019-09-22_final
2019-10-20 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2019-10-20_final
2019-10-23 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-10-23_final
2019-11-16 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2019-11-16_final
2019-11-17 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2019-11-17_final
2019-11-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final
2020-01-21 11:32:08	ga_s2bm_ard_3-2-1_51KWB_2020-01-21_final
2020-01-22 11:01:54	ga_s2bm_ard_3-2-1_52KGG_2020-01-22_final
2020-02-10 11:32:27	ga_s2bm_ard_3-2-1_51KVA_2020-02-10_final
2020-04-05 10:44:18	ga_s2bm_ard_3-2-1_53JNM_2020-04-05_final
2020-04-28 10:55:37	ga_s2bm_ard_3-2-1_52JGM_2020-04-28_final
2020-05-07 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2020-05-07_final
2020-05-15 10:45:57	ga_s2bm_ard_3-2-1_53JKF_2020-05-15_final
2020-07-13 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2020-07-13_final
2020-07-16 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2020-07-16_final
2020-07-28 10:26:38	ga_s2bm_ard_3-2-1_53HPC_2020-07-28_final
2020-08-11 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2020-08-11_final
2020-08-18 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2020-08-18_final
2020-09-16 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-09-16_final
2020-09-22 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2020-09-22_final
2020-09-27 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-09-27_final
2020-11-03 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2020-11-03_final
2020-11-23 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2020-11-23_final
2020-12-13 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2020-12-13_final
2020-12-26 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2020-12-26_final
2021-01-09 11:13:14	ga_s2bm_ard_3-2-1_52KEB_2021-01-09_final
2021-01-25 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-01-25_final
2021-02-01 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2021-02-01_final
2021-02-28 11:11:00	ga_s2bm_ard_3-2-1_52LFL_2021-02-28_final
2021-03-14 10:55:38	ga_s2bm_ard_3-2-1_53JKG_2021-03-14_final
2021-03-26 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2021-03-26_final
2021-03-27 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2021-03-27_final
2021-06-16 10:36:25	ga_s2bm_ard_3-2-1_53HMD_2021-06-16_final
2021-06-24 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-06-24_final.stac-item
2021-06-25 11:00:45	ga_s2bm_ard_3-2-1_52LHM_2021-06-25_final
2021-10-11 10:26:47	ga_s2bm_ard_3-2-1_53HQB_2021-10-11_final
2021-11-21 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2021-11-21_final
2022-01-04 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2022-01-04_final
2022-01-31 11:02:05	ga_s2bm_ard_3-2-1_52KGF_2022-01-31_final
2022-02-03 11:11:28	ga_s2bm_ard_3-2-1_52LEJ_2022-02-03_final
2022-02-12 11:42:36	ga_s2bm_ard_3-2-1_51KVV_2022-02-12_final
2022-02-13 11:10:37	ga_s2bm_ard_3-2-1_52LGM_2022-02-13_final
2022-03-10 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2022-03-10_final
2022-03-11 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2022-03-11_final
2022-04-16 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-04-16_final
2022-05-20 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2022-05-20_final
2022-06-13 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2022-06-13_final
2022-08-05 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2022-08-05_final
2022-08-14 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2022-08-14_final
2022-10-03 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2022-10-03_final.stac-item
2022-10-20 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2022-10-20_final.stac-item
2022-12-16 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2022-12-16_final.stac-item
2022-12-18 10:34:12	ga_s2bm_ard_3-2-1_53JNN_2022-12-18_final.stac-item
2022-12-19 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-12-19_final.stac-item
2022-12-26 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2022-12-26_final.stac-item
2023-02-23 10:26:32	ga_s2bm_ard_3-2-1_53HQC_2023-02-23_final.stac-item
2023-02-24 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2023-02-24_final.stac-item
2023-04-25 11:31:57	ga_s2bm_ard_3-2-1_51LWC_2023-04-25_final.stac-item
2023-05-15 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-05-15_final.stac-item
2023-05-21 10:16:57	ga_s2bm_ard_3-2-1_53HQB_2023-05-21_final.stac-item
2023-05-24 10:26:51	ga_s2bm_ard_3-2-1_53HQB_2023-05-24_final.stac-item
2023-06-24 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2023-06-24_final.stac-item
2023-07-06 10:34:31	ga_s2bm_ard_3-2-1_53JNM_2023-07-06_final.stac-item
2023-07-11 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2023-07-11_final.stac-item
2023-08-26 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-08-26_final.stac-item
2023-08-28 10:46:02	ga_s2bm_ard_3-2-1_53JKF_2023-08-28_final.stac-item
2023-09-02 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2023-09-02_final.stac-item
2023-09-29 11:23:42	ga_s2bm_ard_3-2-1_51KYR_2023-09-29_final.stac-item
2023-11-15 11:13:44	ga_s2bm_ard_3-2-1_52KDV_2023-11-15_final.stac-item
2023-12-01 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2023-12-01_final.stac-item
2024-01-20 11:33:01	ga_s2bm_ard_3-2-1_51KYT_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
2024-01-30 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2024-01-30_final.stac-item
2024-01-30 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2024-01-30_final.stac-item
2024-02-06 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2024-02-06_final.stac-item
2024-02-18 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2024-02-18_final.stac-item
2024-03-17 11:23:26	ga_s2bm_ard_3-2-1_52KCA_2024-03-17_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