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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JLL_2017-07-31_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JML_2017-08-07_final
2017-08-09 10:43:05	ga_s2bm_ard_3-2-1_53JKF_2017-08-09_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KVB_2017-09-03_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-09-22_final
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_50KKB_2017-10-05_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52JDT_2017-12-06_final
2017-12-27 10:42:55	ga_s2bm_ard_3-2-1_53KPP_2017-12-27_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KMU_2018-01-26_final
2018-02-11 11:04:58	ga_s2bm_ard_3-2-1_52JFP_2018-02-11_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51JYJ_2018-02-27_final
2018-04-24 09:57:06	ga_s2bm_ard_3-2-1_54HWC_2018-04-24_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JCQ_2018-05-02_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KXS_2018-05-28_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51HVC_2018-11-04_final
2019-01-22 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2019-01-22_final
2019-02-27 10:33:48	ga_s2bm_ard_3-2-1_53KQP_2019-02-27_final
2019-03-14 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2019-03-14_final
2019-05-18 10:36:30	ga_s2bm_ard_3-2-1_53HND_2019-05-18_final
2019-06-04 10:24:27	ga_s2bm_ard_3-2-1_53JRM_2019-06-04_final
2019-07-26 11:06:32	ga_s2bm_ard_3-2-1_52HBK_2019-07-26_final
2019-09-27 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2019-09-27_final
2019-10-09 10:17:12	ga_s2bm_ard_3-2-1_54HVE_2019-10-09_final
2019-10-20 11:22:14	ga_s2bm_ard_3-2-1_52KDF_2019-10-20_final
2019-12-02 09:57:31	ga_s2bm_ard_3-2-1_54HYC_2019-12-02_final
2019-12-13 11:04:12	ga_s2bm_ard_3-2-1_52JET_2019-12-13_final
2020-01-20 10:26:40	ga_s2bm_ard_3-2-1_53HQB_2020-01-20_final
2020-02-29 10:25:33	ga_s2bm_ard_3-2-1_54JVL_2020-02-29_final
2020-03-15 11:15:49	ga_s2bm_ard_3-2-1_52JBM_2020-03-15_final
2020-03-17 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2020-03-17_final
2020-04-01 11:04:55	ga_s2bm_ard_3-2-1_52JFQ_2020-04-01_final
2020-06-28 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2020-06-28_final
2020-07-12 10:06:59	ga_s2bm_ard_3-2-1_54HWF_2020-07-12_final
2020-08-13 10:44:10	ga_s2bm_ard_3-2-1_53JNN_2020-08-13_final
2020-09-26 10:26:29	ga_s2bm_ard_3-2-1_54HUH_2020-09-26_final
2020-10-06 10:24:37	ga_s2bm_ard_3-2-1_54JTR_2020-10-06_final
2020-11-12 10:16:35	ga_s2bm_ard_3-2-1_54HTH_2020-11-12_final
2020-11-22 10:15:37	ga_s2bm_ard_3-2-1_54JXL_2020-11-22_final
2020-12-16 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2020-12-16_final
2020-12-20 11:12:34	ga_s2bm_ard_3-2-1_52KCE_2020-12-20_final
2020-12-28 10:32:16	ga_s2bm_ard_3-2-1_53KRV_2020-12-28_final
2021-01-23 10:50:53	ga_s2bm_ard_3-2-1_53LNF_2021-01-23_final
2021-01-31 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-01-31_final
2021-03-08 10:34:28	ga_s2bm_ard_3-2-1_54JTR_2021-03-08_final
2021-03-16 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2021-03-16_final
2021-03-19 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-03-19_final
2021-04-22 11:23:01	ga_s2bm_ard_3-2-1_51KZT_2021-04-22_final
2021-05-31 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2021-05-31_final
2021-06-21 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-06-21_final
2021-06-22 10:54:52	ga_s2bm_ard_3-2-1_53JLK_2021-06-22_final
2021-07-20 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-20_final
2021-07-29 10:43:50	ga_s2bm_ard_3-2-1_53KPP_2021-07-29_final
2021-08-10 11:23:20	ga_s2bm_ard_3-2-1_51KYT_2021-08-10_final
2021-09-09 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2021-09-09_final
2021-09-15 10:07:11	ga_s2bm_ard_3-2-1_54HVE_2021-09-15_final
2021-09-18 10:14:10	ga_s2bm_ard_3-2-1_54JWS_2021-09-18_final
2021-10-02 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2021-10-02_final
2021-11-08 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2021-11-08_final
2021-12-01 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2021-12-01_final
2021-12-07 10:16:37	ga_s2bm_ard_3-2-1_54HVG_2021-12-07_final
2022-01-23 11:41:53	ga_s2bm_ard_3-2-1_51LVC_2022-01-23_final
2022-02-04 10:42:12	ga_s2bm_ard_3-2-1_53KQV_2022-02-04_final
2022-02-14 10:46:18	ga_s2bm_ard_3-2-1_53HLD_2022-02-14_final
2022-02-23 11:10:56	ga_s2bm_ard_3-2-1_52LFL_2022-02-23_final
2022-03-03 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2022-03-03_final
2022-04-18 10:55:38	ga_s2bm_ard_3-2-1_52JGM_2022-04-18_final
2022-04-20 11:36:38	ga_s2bm_ard_3-2-1_51HUD_2022-04-20_final
2022-05-25 10:44:03	ga_s2bm_ard_3-2-1_53JPN_2022-05-25_final
2022-06-23 11:13:20	ga_s2bm_ard_3-2-1_52KEB_2022-06-23_final
2022-07-22 11:44:36	ga_s2bm_ard_3-2-1_50JRT_2022-07-22_final
2022-09-12 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2022-09-12_final.stac-item
2022-10-10 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2022-10-10_final.stac-item
2022-10-28 11:01:42	ga_s2bm_ard_3-2-1_52LHH_2022-10-28_final.stac-item
2022-11-13 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2022-11-13_final.stac-item
2022-12-14 10:54:55	ga_s2bm_ard_3-2-1_52JFQ_2022-12-14_final.stac-item
2022-12-16 11:34:53	ga_s2bm_ard_3-2-1_51JWL_2022-12-16_final.stac-item
2023-01-05 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2023-01-05_final.stac-item
2023-01-08 10:05:30	ga_s2bm_ard_3-2-1_54JWM_2023-01-08_final.stac-item
2023-01-18 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2023-01-18_final.stac-item
2023-01-30 10:43:52	ga_s2bm_ard_3-2-1_53KMP_2023-01-30_final.stac-item
2023-02-14 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2023-02-14_final.stac-item
2023-03-05 10:26:43	ga_s2bm_ard_3-2-1_53HNC_2023-03-05_final.stac-item
2023-03-08 10:33:44	ga_s2bm_ard_3-2-1_54KUU_2023-03-08_final.stac-item
2023-04-19 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2023-04-19_final.stac-item
2023-05-07 10:36:49	ga_s2bm_ard_3-2-1_53HPB_2023-05-07_final.stac-item
2023-07-03 10:26:52	ga_s2bm_ard_3-2-1_53HQB_2023-07-03_final.stac-item
2023-07-29 10:44:26	ga_s2bm_ard_3-2-1_53JNM_2023-07-29_final.stac-item
2023-08-03 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-08-03_final.stac-item
2023-11-04 11:44:51	ga_s2bm_ard_3-2-1_50JQS_2023-11-04_final.stac-item
2023-11-12 11:06:34	ga_s2bm_ard_3-2-1_52HBJ_2023-11-12_nrt.stac-item
2023-11-19 10:52:53	ga_s2bm_ard_3-2-1_53KLT_2023-11-19_final.stac-item
2023-12-11 09:57:37	ga_s2bm_ard_3-2-1_54HXC_2023-12-11_final.stac-item
2023-12-23 10:31:36	ga_s2bm_ard_3-2-1_53LRC_2023-12-23_nrt.stac-item
2024-01-23 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2024-01-23_final.stac-item
2024-02-06 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2024-02-06_final.stac-item
2024-02-14 10:41:42	ga_s2bm_ard_3-2-1_53LNC_2024-02-14_final.stac-item
2024-02-25 10:14:47	ga_s2bm_ard_3-2-1_54JYP_2024-02-25_final.stac-item
2024-03-02 10:32:20	ga_s2bm_ard_3-2-1_53KQV_2024-03-02_final.stac-item
2024-03-21 11:01:41	ga_s2bm_ard_3-2-1_53LKC_2024-03-21_final.stac-item
2024-03-29 10:22:53	ga_s2bm_ard_3-2-1_54KXB_2024-03-29_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