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
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_53HNC_2017-08-03_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KDE_2017-12-06_final
2017-12-17 10:37:15	ga_s2bm_ard_3-2-1_53HLD_2017-12-17_final
2018-01-10 10:23:19	ga_s2bm_ard_3-2-1_53HNB_2018-01-10_final
2018-02-28 10:47:16	ga_s2bm_ard_3-2-1_53LMG_2018-02-28_final
2018-04-24 09:57:06	ga_s2bm_ard_3-2-1_54HVE_2018-04-24_final
2018-05-07 10:07:03	ga_s2bm_ard_3-2-1_54HTG_2018-05-07_final
2018-11-12 10:46:21	ga_s2bm_ard_3-2-1_53HLD_2018-11-12_final
2018-12-01 11:13:14	ga_s2bm_ard_3-2-1_52KDB_2018-12-01_final
2019-03-19 10:33:58	ga_s2bm_ard_3-2-1_53JRN_2019-03-19_final
2019-04-19 11:45:45	ga_s2bm_ard_3-2-1_50JNP_2019-04-19_final
2019-05-06 11:33:24	ga_s2bm_ard_3-2-1_51KVT_2019-05-06_final
2019-05-18 10:33:54	ga_s2bm_ard_3-2-1_53KRP_2019-05-18_final
2019-07-04 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2019-07-04_final
2019-07-05 11:36:35	ga_s2bm_ard_3-2-1_50JPL_2019-07-05_final
2019-07-12 11:24:24	ga_s2bm_ard_3-2-1_51KWP_2019-07-12_final
2019-07-24 12:04:19	ga_s2bm_ard_3-2-1_50KLV_2019-07-24_final
2019-08-06 10:34:11	ga_s2bm_ard_3-2-1_53JQN_2019-08-06_final
2019-12-15 10:07:16	ga_s2bm_ard_3-2-1_54HXD_2019-12-15_final
2020-01-24 10:07:08	ga_s2bm_ard_3-2-1_54HYD_2020-01-24_final
2020-02-25 10:41:42	ga_s2bm_ard_3-2-1_53KRB_2020-02-25_final
2020-03-03 10:35:42	ga_s2bm_ard_3-2-1_53JQF_2020-03-03_final
2020-03-13 10:36:34	ga_s2bm_ard_3-2-1_53HNC_2020-03-13_final
2020-03-26 10:42:02	ga_s2bm_ard_3-2-1_53KRA_2020-03-26_final
2020-04-02 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2020-04-02_final
2020-04-06 10:16:25	ga_s2bm_ard_3-2-1_54HVH_2020-04-06_final
2020-04-06 10:16:28	ga_s2bm_ard_3-2-1_54HUH_2020-04-06_final
2020-05-21 11:02:30	ga_s2bm_ard_3-2-1_52KGE_2020-05-21_final
2020-06-03 11:13:38	ga_s2bm_ard_3-2-1_52KCA_2020-06-03_final
2020-06-03 11:15:59	ga_s2bm_ard_3-2-1_51JXG_2020-06-03_final
2020-06-19 09:57:53	ga_s2bm_ard_3-2-1_54HYB_2020-06-19_final
2020-07-28 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2020-07-28_final
2020-08-11 11:45:36	ga_s2bm_ard_3-2-1_50JQP_2020-08-11_final
2020-09-09 10:33:52	ga_s2bm_ard_3-2-1_53KQP_2020-09-09_final
2020-09-21 11:13:24	ga_s2bm_ard_3-2-1_52KCB_2020-09-21_final
2020-11-07 11:02:05	ga_s2bm_ard_3-2-1_52KFG_2020-11-07_final
2020-12-23 11:22:14	ga_s2bm_ard_3-2-1_52KBF_2020-12-23_final
2021-02-03 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-02-03_final
2021-02-09 10:42:38	ga_s2bm_ard_3-2-1_53KNU_2021-02-09_final
2021-02-09 10:43:25	ga_s2bm_ard_3-2-1_53KNR_2021-02-09_final
2021-02-28 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2021-02-28_final
2021-03-20 11:11:36	ga_s2bm_ard_3-2-1_52LDJ_2021-03-20_final
2021-04-11 10:17:22	ga_s2bm_ard_3-2-1_54HVD_2021-04-11_final
2021-04-12 11:25:53	ga_s2bm_ard_3-2-1_51JWG_2021-04-12_final
2021-06-17 11:43:37	ga_s2bm_ard_3-2-1_50KQB_2021-06-17_final
2021-07-03 10:26:48	ga_s2bm_ard_3-2-1_53HQB_2021-07-03_final
2021-07-13 10:25:22	ga_s2bm_ard_3-2-1_53JQH_2021-07-13_final
2021-08-03 09:57:18	ga_s2bm_ard_3-2-1_54HXE_2021-08-03_final
2021-08-05 10:36:11	ga_s2bm_ard_3-2-1_53HME_2021-08-05_final
2021-08-09 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-08-09_final
2021-08-25 10:34:12	ga_s2bm_ard_3-2-1_53JNN_2021-08-25_final
2021-11-27 10:16:30	ga_s2bm_ard_3-2-1_54HTH_2021-11-27_final
2021-12-04 10:07:07	ga_s2bm_ard_3-2-1_54HWE_2021-12-04_final
2021-12-13 10:33:43	ga_s2bm_ard_3-2-1_53KQP_2021-12-13_final
2022-01-12 10:32:18	ga_s2bm_ard_3-2-1_53KQV_2022-01-12_final
2022-01-31 11:02:03	ga_s2bm_ard_3-2-1_53KKA_2022-01-31_final
2022-02-01 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2022-02-01_final
2022-02-08 10:26:34	ga_s2bm_ard_3-2-1_54HUG_2022-02-08_final
2022-02-26 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2022-02-26_final
2022-03-27 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2022-03-27_final
2022-04-03 10:06:50	ga_s2bm_ard_3-2-1_54HXF_2022-04-03_final
2022-04-17 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2022-04-17_final
2022-04-29 12:03:16	ga_s2bm_ard_3-2-1_50KMC_2022-04-29_final
2022-05-26 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2022-05-26_final
2022-06-18 12:03:45	ga_s2bm_ard_3-2-1_50KLB_2022-06-18_final
2022-07-16 11:26:48	ga_s2bm_ard_3-2-1_51HVD_2022-07-16_final
2022-08-13 10:44:20	ga_s2bm_ard_3-2-1_53JPM_2022-08-13_final
2022-08-17 10:26:20	ga_s2bm_ard_3-2-1_53HQD_2022-08-17_final
2022-09-02 10:43:35	ga_s2bm_ard_3-2-1_53KPQ_2022-09-02_final.stac-item
2022-10-02 10:43:57	ga_s2bm_ard_3-2-1_53KLP_2022-10-02_final.stac-item
2022-10-25 10:55:59	ga_s2bm_ard_3-2-1_52JFL_2022-10-25_final.stac-item
2022-10-28 11:04:35	ga_s2bm_ard_3-2-1_52JDS_2022-10-28_final.stac-item
2022-11-01 10:44:04	ga_s2bm_ard_3-2-1_53JNN_2022-11-01_final.stac-item
2022-11-02 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-11-02_final.stac-item
2022-12-29 10:05:55	ga_s2bm_ard_3-2-1_54HXK_2022-12-29_final.stac-item
2023-01-18 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2023-01-18_final.stac-item
2023-01-21 11:57:05	ga_s2bm_ard_3-2-1_49HGC_2023-01-21_nrt.stac-item
2023-02-03 10:25:54	ga_s2bm_ard_3-2-1_54HUK_2023-02-03_final.stac-item
2023-02-24 11:31:06	ga_s2bm_ard_3-2-1_51LZF_2023-02-24_nrt.stac-item
2023-03-07 11:01:05	ga_s2bm_ard_3-2-1_52LGL_2023-03-07_final.stac-item
2023-03-19 11:41:59	ga_s2bm_ard_3-2-1_51LWC_2023-03-19_final.stac-item
2023-03-23 11:25:55	ga_s2bm_ard_3-2-1_51JXG_2023-03-23_final.stac-item
2023-04-08 11:46:28	ga_s2bm_ard_3-2-1_50JML_2023-04-08_final.stac-item
2023-06-09 10:43:53	ga_s2bm_ard_3-2-1_53KPP_2023-06-09_final.stac-item
2023-07-02 10:52:03	ga_s2bm_ard_3-2-1_53KLB_2023-07-02_final.stac-item
2023-07-13 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2023-07-13_final.stac-item
2023-08-13 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-08-13_final.stac-item
2023-08-18 10:45:34	ga_s2bm_ard_3-2-1_53JKH_2023-08-18_final.stac-item
2023-08-21 10:54:26	ga_s2bm_ard_3-2-1_52JFT_2023-08-21_final.stac-item
2023-09-25 10:07:19	ga_s2bm_ard_3-2-1_54HVE_2023-09-25_final.stac-item
2023-10-21 10:27:01	ga_s2bm_ard_3-2-1_54HTF_2023-10-21_final.stac-item
2023-11-09 10:52:52	ga_s2bm_ard_3-2-1_52KHD_2023-11-09_final.stac-item
2024-01-04 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2024-01-04_final.stac-item
2024-01-13 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2024-01-13_final.stac-item
2024-01-21 11:01:16	ga_s2bm_ard_3-2-1_52LGK_2024-01-21_final.stac-item
2024-01-22 10:34:23	ga_s2bm_ard_3-2-1_53JPM_2024-01-22_final.stac-item
2024-02-06 11:22:07	ga_s2bm_ard_3-2-1_52KBG_2024-02-06_final.stac-item
2024-02-23 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2024-02-23_final.stac-item
2024-03-25 10:43:05	ga_s2bm_ard_3-2-1_53KPS_2024-03-25_final.stac-item
2024-05-01 10:36:58	ga_s2bm_ard_3-2-1_53HPA_2024-05-01_nrt.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