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
2017-08-09 10:43:05	ga_s2bm_ard_3-2-1_53JPM_2017-08-09_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52KEB_2018-01-12_final
2018-02-18 10:47:17	ga_s2bm_ard_3-2-1_53LQG_2018-02-18_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50JQM_2018-04-01_final
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53KPP_2018-04-03_final
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_53HMC_2018-05-13_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KXT_2018-05-21_final
2018-06-09 10:26:11	ga_s2bm_ard_3-2-1_53HNB_2018-06-09_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXS_2018-07-20_final
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53JPM_2018-08-04_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KVT_2018-08-09_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KVT_2018-09-08_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXS_2018-10-28_final
2018-12-14 11:23:18	ga_s2bm_ard_3-2-1_51KYS_2018-12-14_final
2019-02-05 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2019-02-05_final
2019-03-27 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-03-27_final
2019-04-03 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2019-04-03_final
2019-05-03 11:23:21	ga_s2bm_ard_3-2-1_51KXT_2019-05-03_final
2019-05-13 11:23:22	ga_s2bm_ard_3-2-1_51KXT_2019-05-13_final
2019-05-23 11:23:15	ga_s2bm_ard_3-2-1_52KBC_2019-05-23_final
2019-08-14 11:33:37	ga_s2bm_ard_3-2-1_51KVS_2019-08-14_final
2019-11-30 10:55:34	ga_s2bm_ard_3-2-1_53JKG_2019-11-30_final
2020-03-06 10:44:00	ga_s2bm_ard_3-2-1_53JPN_2020-03-06_final
2020-03-21 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-03-21_final
2020-03-24 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2020-03-24_final
2020-03-26 10:44:14	ga_s2bm_ard_3-2-1_53JPM_2020-03-26_final
2020-04-25 10:44:11	ga_s2bm_ard_3-2-1_53JPM_2020-04-25_final
2020-05-22 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2020-05-22_final.stac-item
2020-05-31 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2020-05-31_final
2020-06-02 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-06-02_final
2020-06-19 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-06-19_final
2020-07-26 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2020-07-26_final
2020-07-31 10:36:13	ga_s2bm_ard_3-2-1_53HME_2020-07-31_final
2020-08-15 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2020-08-15_final
2020-09-01 11:13:17	ga_s2bm_ard_3-2-1_52KBC_2020-09-01_final
2020-09-14 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-09-14_final
2020-09-17 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2020-09-17_final
2020-12-26 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2020-12-26_final
2021-01-08 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-01-08_final
2021-04-10 10:43:45	ga_s2bm_ard_3-2-1_53KPP_2021-04-10_final
2021-04-25 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2021-04-25_final
2021-06-09 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2021-06-09_final
2021-06-16 10:34:30	ga_s2bm_ard_3-2-1_54JTR_2021-06-16_final
2021-07-06 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2021-07-06_final
2021-07-08 11:13:15	ga_s2bm_ard_3-2-1_52KBC_2021-07-08_final
2021-07-16 10:34:35	ga_s2bm_ard_3-2-1_53JQL_2021-07-16_final
2021-07-26 10:33:55	ga_s2bm_ard_3-2-1_53KPP_2021-07-26_final
2021-07-26 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2021-07-26_final
2021-07-31 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2021-07-31_final
2021-08-20 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2021-08-20_final
2021-08-22 10:24:39	ga_s2bm_ard_3-2-1_53JQL_2021-08-22_final
2021-09-26 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2021-09-26_final
2021-10-14 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-10-14_final.stac-item
2021-12-12 11:00:25	ga_s2bm_ard_3-2-1_52LHN_2021-12-12_final
2021-12-21 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2021-12-21_final
2022-01-02 10:36:46	ga_s2bm_ard_3-2-1_53HNB_2022-01-02_final
2022-01-10 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2022-01-10_final
2022-02-09 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2022-02-09_final
2022-02-09 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2022-02-09_final
2022-02-19 11:33:21	ga_s2bm_ard_3-2-1_51KWS_2022-02-19_final
2022-02-21 10:34:02	ga_s2bm_ard_3-2-1_53JPN_2022-02-21_final
2022-03-16 10:44:01	ga_s2bm_ard_3-2-1_53JPN_2022-03-16_final
2022-06-14 10:44:06	ga_s2bm_ard_3-2-1_53JPN_2022-06-14_final
2022-06-16 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2022-06-16_final
2022-06-23 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2022-06-23_final
2022-06-29 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2022-06-29_final
2022-07-09 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2022-07-09_final
2022-07-14 10:44:07	ga_s2bm_ard_3-2-1_53JPN_2022-07-14_final
2022-07-17 10:55:46	ga_s2bm_ard_3-2-1_52JGM_2022-07-17_final
2022-07-19 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2022-07-19_final
2022-07-22 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2022-07-22_final.stac-item
2022-07-26 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2022-07-26_final
2022-08-30 10:34:22	ga_s2bm_ard_3-2-1_53JPM_2022-08-30_final
2022-09-29 10:34:07	ga_s2bm_ard_3-2-1_53JPN_2022-09-29_final.stac-item
2022-10-04 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2022-10-04_final.stac-item
2022-11-06 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2022-11-06_final.stac-item
2022-12-24 10:52:33	ga_s2bm_ard_3-2-1_53KNU_2022-12-24_final.stac-item
2023-03-13 11:23:47	ga_s2bm_ard_3-2-1_51KXR_2023-03-13_final.stac-item
2023-03-16 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2023-03-16_final.stac-item
2023-04-07 10:34:24	ga_s2bm_ard_3-2-1_53JPM_2023-04-07_final.stac-item
2023-04-18 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2023-04-18_final.stac-item
2023-04-20 10:44:05	ga_s2bm_ard_3-2-1_53JPN_2023-04-20_final.stac-item
2023-06-01 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2023-06-01_final.stac-item
2023-06-14 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2023-06-14_final.stac-item
2023-07-11 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2023-07-11_final.stac-item
2023-07-14 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-07-14_final.stac-item
2023-08-20 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2023-08-20_final.stac-item
2023-08-23 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2023-08-23_final.stac-item
2023-08-30 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2023-08-30_final.stac-item
2023-08-30 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2023-08-30_final.stac-item
2023-09-06 11:13:34	ga_s2bm_ard_3-2-1_52KEA_2023-09-06_final.stac-item
2023-09-19 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2023-09-19_final.stac-item
2023-10-24 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2023-10-24_final.stac-item
2023-10-29 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2023-10-29_final.stac-item
2023-11-08 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2023-11-08_final.stac-item
2023-12-27 11:52:27	ga_s2bm_ard_3-2-1_50KQG_2023-12-27_final.stac-item
2024-01-21 11:00:44	ga_s2bm_ard_3-2-1_52LHM_2024-01-21_final.stac-item
2024-02-19 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2024-02-19_final.stac-item
2024-04-06 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2024-04-06_final.stac-item
2024-05-06 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2024-05-06_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