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
2017-08-08 11:12:00	ga_s2bm_ard_3-2-1_52JBP_2017-08-08_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_51HYD_2017-08-25_final
2017-12-17 10:37:15	ga_s2bm_ard_3-2-1_53JPM_2017-12-17_final
2018-01-13 10:27:00	ga_s2bm_ard_3-2-1_53JQL_2018-01-13_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HUC_2018-01-28_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KVS_2018-03-02_final
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_53KQP_2018-03-24_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KYT_2018-05-11_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HYH_2018-09-01_final
2018-11-09 10:34:27	ga_s2bm_ard_3-2-1_54JTR_2018-11-09_final
2018-12-17 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2018-12-17_final.stac-item
2019-01-01 10:45:48	ga_s2bm_ard_3-2-1_53JKF_2019-01-01_final
2019-02-15 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2019-02-15_final
2019-02-22 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2019-02-22_final
2019-02-25 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2019-02-25_final
2019-02-27 10:34:13	ga_s2bm_ard_3-2-1_53JRM_2019-02-27_final
2019-03-19 10:34:28	ga_s2bm_ard_3-2-1_54JTR_2019-03-19_final
2019-03-24 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2019-03-24_final
2019-06-07 10:34:40	ga_s2bm_ard_3-2-1_53JQL_2019-06-07_final
2019-06-17 10:34:11	ga_s2bm_ard_3-2-1_53JQN_2019-06-17_final
2019-06-22 11:24:16	ga_s2bm_ard_3-2-1_51KYP_2019-06-22_final
2019-06-29 11:14:03	ga_s2bm_ard_3-2-1_51KZQ_2019-06-29_final
2019-07-09 11:13:48	ga_s2bm_ard_3-2-1_52KBA_2019-07-09_final
2019-07-20 10:46:04	ga_s2bm_ard_3-2-1_53JLF_2019-07-20_final
2019-07-26 11:03:43	ga_s2bm_ard_3-2-1_52KEA_2019-07-26_final
2019-09-06 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2019-09-06_final
2019-10-15 10:33:54	ga_s2bm_ard_3-2-1_53KPP_2019-10-15_final
2019-11-03 11:02:55	ga_s2bm_ard_3-2-1_52KHC_2019-11-03_final
2019-12-17 10:45:35	ga_s2bm_ard_3-2-1_53JLG_2019-12-17_final
2020-02-13 11:41:22	ga_s2bm_ard_3-2-1_51LUE_2020-02-13_final
2020-02-13 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2020-02-13_final
2020-03-24 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2020-03-24_final
2020-04-12 10:33:56	ga_s2bm_ard_3-2-1_54JTT_2020-04-12_final
2020-04-12 10:34:10	ga_s2bm_ard_3-2-1_53JNN_2020-04-12_final
2020-04-22 10:34:24	ga_s2bm_ard_3-2-1_54JTR_2020-04-22_final
2020-04-28 10:54:54	ga_s2bm_ard_3-2-1_52JGQ_2020-04-28_final
2020-04-30 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2020-04-30_final
2020-05-23 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2020-05-23_final
2020-05-24 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2020-05-24_final
2020-07-19 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2020-07-19_final
2020-11-24 10:50:49	ga_s2bm_ard_3-2-1_53LPF_2020-11-24_final
2020-12-01 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2020-12-01_final
2020-12-26 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2020-12-26_final
2021-01-15 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-01-15_final
2021-01-15 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2021-01-15_final
2021-02-22 10:52:20	ga_s2bm_ard_3-2-1_53KKV_2021-02-22_final
2021-03-16 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2021-03-16_final
2021-03-18 10:33:23	ga_s2bm_ard_3-2-1_53KPR_2021-03-18_final
2021-04-04 10:26:28	ga_s2bm_ard_3-2-1_54HTH_2021-04-04_final
2021-04-10 10:40:51	ga_s2bm_ard_3-2-1_53LPF_2021-04-10_final
2021-04-30 10:45:54	ga_s2bm_ard_3-2-1_53JKF_2021-04-30_final
2021-05-02 11:23:32	ga_s2bm_ard_3-2-1_51KZR_2021-05-02_final
2021-05-10 10:43:50	ga_s2bm_ard_3-2-1_53KNP_2021-05-10_final
2021-06-15 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2021-06-15_final
2021-08-13 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2021-08-13_final
2021-08-16 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-08-16_final
2021-08-22 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2021-08-22_final
2021-09-01 10:26:29	ga_s2bm_ard_3-2-1_53HQC_2021-09-01_final
2021-09-01 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-09-01_final
2021-11-13 10:34:03	ga_s2bm_ard_3-2-1_53JQN_2021-11-13_final
2022-01-12 10:33:41	ga_s2bm_ard_3-2-1_53KRP_2022-01-12_final
2022-01-12 10:33:56	ga_s2bm_ard_3-2-1_53JRN_2022-01-12_final
2022-03-08 11:21:28	ga_s2bm_ard_3-2-1_52LDJ_2022-03-08_final
2022-03-14 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-03-14_final
2022-05-22 10:34:28	ga_s2bm_ard_3-2-1_54JTR_2022-05-22_final
2022-07-06 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2022-07-06_final
2022-07-09 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2022-07-09_final
2022-08-26 10:53:57	ga_s2bm_ard_3-2-1_52KHU_2022-08-26_final
2022-09-24 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2022-09-24_final.stac-item
2022-10-13 10:15:36	ga_s2bm_ard_3-2-1_54JXL_2022-10-13_final.stac-item
2022-10-24 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2022-10-24_final.stac-item
2022-11-20 11:11:26	ga_s2bm_ard_3-2-1_52LGJ_2022-11-20_final.stac-item
2023-01-09 11:12:46	ga_s2bm_ard_3-2-1_52KDD_2023-01-09_final.stac-item
2023-02-04 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2023-02-04_final.stac-item
2023-02-11 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-02-11_final.stac-item
2023-03-10 11:11:02	ga_s2bm_ard_3-2-1_52LGL_2023-03-10_final.stac-item
2023-03-23 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-03-23_final.stac-item
2023-03-26 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-03-26_final.stac-item
2023-03-30 12:51:04	ga_s2bm_ard_3-2-1_48LWP_2023-03-30_final.stac-item
2023-05-22 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2023-05-22_final.stac-item
2023-05-29 11:13:52	ga_s2bm_ard_3-2-1_52KDV_2023-05-29_final.stac-item
2023-08-15 10:33:51	ga_s2bm_ard_3-2-1_54KTU_2023-08-15_final.stac-item
2023-09-05 11:42:03	ga_s2bm_ard_3-2-1_51LVC_2023-09-05_final.stac-item
2023-09-09 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-09-09_final.stac-item
2023-09-12 11:32:47	ga_s2bm_ard_3-2-1_51KWV_2023-09-12_final.stac-item
2023-09-24 10:34:03	ga_s2bm_ard_3-2-1_53JRN_2023-09-24_final.stac-item
2023-09-29 11:23:42	ga_s2bm_ard_3-2-1_51KYR_2023-09-29_final.stac-item
2023-10-05 10:05:52	ga_s2bm_ard_3-2-1_54HYK_2023-10-05_final.stac-item
2023-10-24 10:33:46	ga_s2bm_ard_3-2-1_54KTU_2023-10-24_final.stac-item
2023-11-09 10:55:41	ga_s2bm_ard_3-2-1_53JKG_2023-11-09_final.stac-item
2023-12-24 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2023-12-24_final.stac-item
2024-01-14 11:13:43	ga_s2bm_ard_3-2-1_52KEV_2024-01-14_final.stac-item
2024-01-19 10:24:39	ga_s2bm_ard_3-2-1_53JQL_2024-01-19_final.stac-item
2024-01-20 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2024-01-20_final.stac-item
2024-02-09 09:57:45	ga_s2bm_ard_3-2-1_54HWC_2024-02-09_final.stac-item
2024-02-11 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2024-02-11_nrt.stac-item
2024-02-17 10:51:25	ga_s2bm_ard_3-2-1_53LLD_2024-02-17_final.stac-item
2024-02-23 11:16:44	ga_s2bm_ard_3-2-1_51HWD_2024-02-23_final.stac-item
2024-04-11 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2024-04-11_final.stac-item
2024-04-17 10:50:43	ga_s2bm_ard_3-2-1_53LMG_2024-04-17_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