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
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_53JRM_2017-07-04_final
2017-10-11 10:52:02	ga_s2bm_ard_3-2-1_53KKU_2017-10-11_final
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_53JQL_2017-11-21_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KTU_2017-12-05_final
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53KPP_2018-01-23_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KXU_2018-03-22_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KXQ_2018-05-21_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KBV_2018-06-14_final
2018-06-21 11:03:15	ga_s2bm_ard_3-2-1_52KEA_2018-06-21_final
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52KEB_2018-07-31_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KYT_2018-09-08_final
2018-11-09 10:34:19	ga_s2bm_ard_3-2-1_53JPM_2018-11-09_final
2018-11-30 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2018-11-30_final
2018-12-07 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2018-12-07_final
2018-12-07 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2018-12-07_final
2019-04-09 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2019-04-09_final
2019-04-18 10:33:55	ga_s2bm_ard_3-2-1_53KQP_2019-04-18_final
2019-05-05 10:26:44	ga_s2bm_ard_3-2-1_53HPC_2019-05-05_final
2019-05-10 11:13:19	ga_s2bm_ard_3-2-1_52KCC_2019-05-10_final
2019-06-18 11:43:04	ga_s2bm_ard_3-2-1_51KVU_2019-06-18_final
2019-06-30 10:44:15	ga_s2bm_ard_3-2-1_53JNN_2019-06-30_final
2019-07-05 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-07-05_final
2019-08-14 11:33:29	ga_s2bm_ard_3-2-1_51KUT_2019-08-14_final
2019-11-12 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2019-11-12_final
2019-11-12 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-11-12_final
2019-12-20 10:55:35	ga_s2bm_ard_3-2-1_52JFM_2019-12-20_final
2019-12-25 11:40:52	ga_s2bm_ard_3-2-1_51LWG_2019-12-25_final.stac-item
2019-12-26 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2019-12-26_final
2020-01-11 11:31:55	ga_s2bm_ard_3-2-1_51LWC_2020-01-11_final
2020-02-04 11:13:15	ga_s2bm_ard_3-2-1_52KCB_2020-02-04_final
2020-02-22 10:34:22	ga_s2bm_ard_3-2-1_53JNM_2020-02-22_final
2020-03-10 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-10_final
2020-04-10 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2020-04-10_final
2020-05-29 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2020-05-29_final
2020-06-23 11:13:07	ga_s2bm_ard_3-2-1_52KDC_2020-06-23_final
2020-06-29 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-06-29_final
2020-07-31 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2020-07-31_final
2020-08-25 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2020-08-25_final
2020-09-02 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2020-09-02_final
2020-09-04 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2020-09-04_final
2020-09-17 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2020-09-17_final
2020-11-08 10:33:58	ga_s2bm_ard_3-2-1_53KPP_2020-11-08_final
2020-12-26 11:32:34	ga_s2bm_ard_3-2-1_51KYV_2020-12-26_final
2021-01-13 10:56:00	ga_s2bm_ard_3-2-1_52JFL_2021-01-13_final
2021-01-22 11:22:51	ga_s2bm_ard_3-2-1_52KBD_2021-01-22_final
2021-02-09 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2021-02-09_final
2021-02-17 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2021-02-17_final
2021-03-23 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2021-03-23_final
2021-03-23 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2021-03-23_final
2021-04-08 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2021-04-08_final
2021-04-17 10:34:14	ga_s2bm_ard_3-2-1_53JQM_2021-04-17_final
2021-06-18 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2021-06-18_final
2021-06-28 11:13:52	ga_s2bm_ard_3-2-1_52KCV_2021-06-28_final
2021-06-28 11:14:53	ga_s2bm_ard_3-2-1_52JBR_2021-06-28_final
2021-08-16 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2021-08-16_final
2021-08-29 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2021-08-29_final
2021-09-22 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2021-09-22_final
2021-10-04 10:34:18	ga_s2bm_ard_3-2-1_53JQM_2021-10-04_final
2021-11-09 10:53:10	ga_s2bm_ard_3-2-1_53KLS_2021-11-09_final
2021-11-11 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-11-11_final
2021-12-10 10:26:48	ga_s2bm_ard_3-2-1_53HNB_2021-12-10_final
2021-12-13 10:36:30	ga_s2bm_ard_3-2-1_53HNC_2021-12-13_final
2021-12-21 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2021-12-21_final
2022-01-03 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-01-03_final
2022-01-15 10:44:02	ga_s2bm_ard_3-2-1_53JNN_2022-01-15_final
2022-01-30 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2022-01-30_final
2022-02-04 10:41:54	ga_s2bm_ard_3-2-1_53KQA_2022-02-04_final
2022-02-19 11:33:46	ga_s2bm_ard_3-2-1_51KXQ_2022-02-19_final
2022-03-03 10:34:10	ga_s2bm_ard_3-2-1_53JNN_2022-03-03_final
2022-03-04 11:42:16	ga_s2bm_ard_3-2-1_51KWA_2022-03-04_final
2022-03-29 10:55:39	ga_s2bm_ard_3-2-1_52JGM_2022-03-29_final
2022-04-04 11:11:01	ga_s2bm_ard_3-2-1_52LEL_2022-04-04_final.stac-item
2022-04-05 10:43:45	ga_s2bm_ard_3-2-1_53KPP_2022-04-05_final
2022-04-05 10:44:03	ga_s2bm_ard_3-2-1_53JNN_2022-04-05_final
2022-06-23 11:13:12	ga_s2bm_ard_3-2-1_52KCC_2022-06-23_final
2022-07-19 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2022-07-19_final.stac-item
2022-10-10 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-10-10_final.stac-item
2022-11-16 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-11-16_final.stac-item
2023-01-26 11:02:01	ga_s2bm_ard_3-2-1_53KLA_2023-01-26_final.stac-item
2023-02-02 10:51:04	ga_s2bm_ard_3-2-1_53LNE_2023-02-02_final.stac-item
2023-02-06 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2023-02-06_final.stac-item
2023-03-06 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-03-06_final.stac-item
2023-04-15 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2023-04-15_final.stac-item
2023-05-12 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2023-05-12_final.stac-item
2023-07-11 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2023-07-11_final.stac-item
2023-07-19 10:44:12	ga_s2bm_ard_3-2-1_53JNN_2023-07-19_final.stac-item
2023-07-31 11:23:26	ga_s2bm_ard_3-2-1_52KBB_2023-07-31_final.stac-item
2023-08-02 10:24:27	ga_s2bm_ard_3-2-1_53JRM_2023-08-02_final.stac-item
2023-08-20 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-08-20_final.stac-item
2023-08-26 11:41:01	ga_s2bm_ard_3-2-1_51LWG_2023-08-26_final.stac-item
2023-09-26 11:10:36	ga_s2bm_ard_3-2-1_52LFN_2023-09-26_final.stac-item
2024-01-27 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2024-01-27_final.stac-item
2024-02-04 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2024-02-04_final.stac-item
2024-02-06 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2024-02-06_final.stac-item
2024-03-05 10:44:12	ga_s2bm_ard_3-2-1_53JPM_2024-03-05_final.stac-item
2024-04-12 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2024-04-12_final.stac-item
2024-04-16 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2024-04-16_final.stac-item
2024-04-21 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2024-04-21_final.stac-item
2024-04-26 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2024-04-26_final.stac-item
2024-05-11 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2024-05-11_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