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
2017-08-13 10:26:35	ga_s2bm_ard_3-2-1_53HQB_2017-08-13_final
2017-11-11 10:16:52	ga_s2bm_ard_3-2-1_54LYK_2017-11-11_final
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52KDG_2017-12-26_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50KKB_2018-01-10_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50KKB_2018-03-21_final
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KYT_2018-04-08_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52JBM_2018-04-15_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HMJ_2018-06-03_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXT_2018-06-10_final
2018-06-25 10:42:47	ga_s2bm_ard_3-2-1_53JNN_2018-06-25_final
2018-09-05 09:46:20	ga_s2bm_ard_3-2-1_55GCN_2018-09-05_final
2018-12-12 10:43:56	ga_s2bm_ard_3-2-1_53JPN_2018-12-12_final
2018-12-17 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2018-12-17_final
2019-01-21 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2019-01-21_final
2019-03-16 10:20:59	ga_s2bm_ard_3-2-1_54LZJ_2019-03-16_final
2019-04-08 10:30:59	ga_s2bm_ard_3-2-1_54LWK_2019-04-08_final
2019-04-20 09:39:06	ga_s2bm_ard_3-2-1_55GEM_2019-04-20_final.stac-item
2019-04-25 12:06:02	ga_s2bm_ard_3-2-1_50JKN_2019-04-25_final
2019-04-28 10:34:11	ga_s2bm_ard_3-2-1_53JQN_2019-04-28_final
2019-05-06 11:33:38	ga_s2bm_ard_3-2-1_51KVS_2019-05-06_final
2019-05-20 11:14:00	ga_s2bm_ard_3-2-1_52KCV_2019-05-20_final
2019-05-28 10:34:08	ga_s2bm_ard_3-2-1_54JTT_2019-05-28_final
2019-06-10 10:43:59	ga_s2bm_ard_3-2-1_53KNP_2019-06-10_final
2019-07-02 11:24:06	ga_s2bm_ard_3-2-1_51KXQ_2019-07-02_final
2019-07-12 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-07-12_final
2019-08-08 11:13:21	ga_s2bm_ard_3-2-1_52KBC_2019-08-08_final
2019-08-11 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2019-08-11_final
2019-10-03 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2019-10-03_final
2019-10-23 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2019-10-23_final
2019-11-25 10:06:25	ga_s2bm_ard_3-2-1_54HWH_2019-11-25_final
2019-12-31 10:24:14	ga_s2bm_ard_3-2-1_54JTS_2019-12-31_final
2020-01-01 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2020-01-01_final
2020-01-22 11:00:33	ga_s2bm_ard_3-2-1_53LLG_2020-01-22_final
2020-01-22 11:02:41	ga_s2bm_ard_3-2-1_52KFD_2020-01-22_final
2020-01-24 11:43:03	ga_s2bm_ard_3-2-1_51KVT_2020-01-24_final
2020-01-30 10:23:50	ga_s2bm_ard_3-2-1_54JVT_2020-01-30_final
2020-02-04 11:16:52	ga_s2bm_ard_3-2-1_51HWC_2020-02-04_final.stac-item
2020-02-28 10:52:17	ga_s2bm_ard_3-2-1_53KNV_2020-02-28_final
2020-03-27 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2020-03-27_final
2020-04-10 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2020-04-10_final
2020-07-01 10:34:02	ga_s2bm_ard_3-2-1_53JRN_2020-07-01_final
2020-07-11 10:34:16	ga_s2bm_ard_3-2-1_53JRM_2020-07-11_final
2020-08-05 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-08-05_final
2020-08-30 10:33:56	ga_s2bm_ard_3-2-1_53KPP_2020-08-30_final
2020-09-03 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2020-09-03_final
2020-09-17 11:35:46	ga_s2bm_ard_3-2-1_51JUH_2020-09-17_final
2020-09-24 09:48:48	ga_s2bm_ard_3-2-1_55GDN_2020-09-24_final
2020-10-05 10:50:45	ga_s2bm_ard_3-2-1_53LMG_2020-10-05_final
2020-10-20 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2020-10-20_final
2020-10-26 10:24:43	ga_s2bm_ard_3-2-1_53JQL_2020-10-26_final
2020-10-30 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2020-10-30_final
2020-10-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-10-30_final
2021-02-26 10:32:24	ga_s2bm_ard_3-2-1_54KVD_2021-02-26_final
2021-04-15 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-04-15_final
2021-04-25 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2021-04-25_final
2021-05-19 11:15:24	ga_s2bm_ard_3-2-1_51JYJ_2021-05-19_final
2021-05-29 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2021-05-29_final
2021-06-14 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2021-06-14_final
2021-07-01 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2021-07-01_final
2021-07-30 11:56:24	ga_s2bm_ard_3-2-1_50JML_2021-07-30_final
2021-09-07 10:44:03	ga_s2bm_ard_3-2-1_53JNN_2021-09-07_final
2021-09-12 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2021-09-12_final
2021-10-12 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2021-10-12_final
2021-11-01 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2021-11-01_final
2021-12-29 10:51:00	ga_s2bm_ard_3-2-1_53LPE_2021-12-29_final
2022-01-12 10:33:49	ga_s2bm_ard_3-2-1_53KPP_2022-01-12_final
2022-02-03 11:10:56	ga_s2bm_ard_3-2-1_52LFL_2022-02-03_final
2022-03-14 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2022-03-14_final
2022-03-18 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2022-03-18_final
2022-03-23 10:33:43	ga_s2bm_ard_3-2-1_54KTU_2022-03-23_final
2022-08-11 10:07:11	ga_s2bm_ard_3-2-1_54HXE_2022-08-11_final
2022-09-04 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2022-09-04_final.stac-item
2022-09-26 10:27:05	ga_s2bm_ard_3-2-1_53HPA_2022-09-26_final.stac-item
2022-11-16 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2022-11-16_final.stac-item
2023-01-30 10:42:59	ga_s2bm_ard_3-2-1_53KQS_2023-01-30_final.stac-item
2023-05-25 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-05-25_final.stac-item
2023-06-01 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-06-01_final.stac-item
2023-06-11 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2023-06-11_final.stac-item
2023-06-12 10:55:59	ga_s2bm_ard_3-2-1_53JKF_2023-06-12_final.stac-item
2023-06-26 10:34:37	ga_s2bm_ard_3-2-1_53JQL_2023-06-26_final.stac-item
2023-07-15 11:06:23	ga_s2bm_ard_3-2-1_52HDK_2023-07-15_final.stac-item
2023-07-28 11:15:27	ga_s2bm_ard_3-2-1_52JBP_2023-07-28_final.stac-item
2023-08-15 10:34:05	ga_s2bm_ard_3-2-1_53JRN_2023-08-15_final.stac-item
2023-09-12 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2023-09-12_final.stac-item
2023-10-04 10:30:41	ga_s2bm_ard_3-2-1_54LWL_2023-10-04_final.stac-item
2023-11-01 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2023-11-01_final.stac-item
2023-11-30 10:25:02	ga_s2bm_ard_3-2-1_53JQJ_2023-11-30_final.stac-item
2023-12-11 09:58:16	ga_s2bm_ard_3-2-1_55GBQ_2023-12-11_final.stac-item
2023-12-27 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-12-27_final.stac-item
2023-12-28 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2023-12-28_final.stac-item
2024-01-02 10:34:22	ga_s2bm_ard_3-2-1_53JPM_2024-01-02_final.stac-item
2024-01-12 10:32:45	ga_s2bm_ard_3-2-1_54KTC_2024-01-12_final.stac-item
2024-01-13 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2024-01-13_final.stac-item
2024-01-28 10:52:29	ga_s2bm_ard_3-2-1_52KHE_2024-01-28_final.stac-item
2024-02-14 10:44:07	ga_s2bm_ard_3-2-1_53JNN_2024-02-14_final.stac-item
2024-02-19 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2024-02-19_final.stac-item
2024-02-20 11:00:44	ga_s2bm_ard_3-2-1_53LKG_2024-02-20_final.stac-item
2024-03-07 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2024-03-07_final.stac-item
2024-03-17 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-03-17_final.stac-item
2024-03-27 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2024-03-27_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