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
2021-12-04 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-12-04_final
2021-12-04 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-12-04_final
2021-12-04 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2021-12-04_final
2021-12-04 11:43:17	ga_s2bm_ard_3-2-1_50KQC_2021-12-04_final
2021-12-04 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2021-12-04_final
2021-12-04 11:43:28	ga_s2bm_ard_3-2-1_50KRB_2021-12-04_final
2021-12-04 11:43:39	ga_s2bm_ard_3-2-1_51KUR_2021-12-04_final
2021-12-04 11:43:42	ga_s2bm_ard_3-2-1_51KTR_2021-12-04_final
2021-12-04 11:43:43	ga_s2bm_ard_3-2-1_50KRA_2021-12-04_final
2021-12-04 11:43:46	ga_s2bm_ard_3-2-1_50KQA_2021-12-04_final
2021-12-04 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2021-12-04_final
2021-12-04 11:44:05	ga_s2bm_ard_3-2-1_50KPV_2021-12-04_final
2021-12-04 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2021-12-04_final
2021-12-04 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2021-12-04_final
2021-12-04 11:44:11	ga_s2bm_ard_3-2-1_51KTP_2021-12-04_final
2021-12-04 11:44:15	ga_s2bm_ard_3-2-1_50KQU_2021-12-04_final
2021-12-04 11:44:18	ga_s2bm_ard_3-2-1_50KPU_2021-12-04_final
2021-12-04 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2021-12-04_final
2021-12-04 11:44:40	ga_s2bm_ard_3-2-1_51JTM_2021-12-04_final
2021-12-04 11:44:44	ga_s2bm_ard_3-2-1_50JQS_2021-12-04_final
2021-12-04 11:45:16	ga_s2bm_ard_3-2-1_50JPQ_2021-12-04_final
2021-12-04 11:45:45	ga_s2bm_ard_3-2-1_50JPN_2021-12-04_final
2021-12-04 11:46:11	ga_s2bm_ard_3-2-1_50JQL_2021-12-04_final
2021-12-04 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-12-04_final
2021-12-04 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2021-12-04_final
2021-12-04 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2021-12-04_final
2021-12-04 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-12-04_final
2021-12-04 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2021-12-04_final
2021-12-04 11:47:00	ga_s2bm_ard_3-2-1_50HNH_2021-12-04_final
2021-12-04 11:47:02	ga_s2bm_ard_3-2-1_50HMH_2021-12-04_final
2021-12-04 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2021-12-04_final
2021-12-04 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-12-04_final
2021-12-04 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-12-04_final
2021-12-05 09:32:54	ga_s2bm_ard_3-2-1_56KLA_2021-12-05_final
2021-12-05 09:33:20	ga_s2bm_ard_3-2-1_56KMU_2021-12-05_final
2021-12-05 09:33:31	ga_s2bm_ard_3-2-1_56JNT_2021-12-05_final
2021-12-05 09:33:34	ga_s2bm_ard_3-2-1_56JMT_2021-12-05_final
2021-12-05 09:33:45	ga_s2bm_ard_3-2-1_56JKT_2021-12-05_final
2021-12-05 09:33:52	ga_s2bm_ard_3-2-1_56JLS_2021-12-05_final
2021-12-05 09:33:56	ga_s2bm_ard_3-2-1_56JKS_2021-12-05_final
2021-12-05 09:34:21	ga_s2bm_ard_3-2-1_56JLQ_2021-12-05_final
2021-12-05 09:34:50	ga_s2bm_ard_3-2-1_56JLN_2021-12-05_final
2021-12-05 09:35:25	ga_s2bm_ard_3-2-1_55JGF_2021-12-05_final
2021-12-05 09:35:34	ga_s2bm_ard_3-2-1_56HLK_2021-12-05_final
2021-12-05 09:35:43	ga_s2bm_ard_3-2-1_56HMJ_2021-12-05_final
2021-12-05 09:35:48	ga_s2bm_ard_3-2-1_56HLJ_2021-12-05_final
2021-12-05 09:36:03	ga_s2bm_ard_3-2-1_56HLH_2021-12-05_final.stac-item
2021-12-05 09:36:21	ga_s2bm_ard_3-2-1_56HKG_2021-12-05_final
2021-12-05 09:36:23	ga_s2bm_ard_3-2-1_55HGB_2021-12-05_final
2021-12-05 09:38:36	ga_s2bm_ard_3-2-1_55GFN_2021-12-05_final
2021-12-05 09:38:40	ga_s2bm_ard_3-2-1_55GEN_2021-12-05_final
2021-12-05 11:10:28	ga_s2bm_ard_3-2-1_52LFN_2021-12-05_final.stac-item
2021-12-05 11:11:06	ga_s2bm_ard_3-2-1_52LGK_2021-12-05_final
2021-12-05 11:11:08	ga_s2bm_ard_3-2-1_52LFK_2021-12-05_final
2021-12-05 11:11:09	ga_s2bm_ard_3-2-1_52LEK_2021-12-05_final.stac-item
2021-12-05 11:11:13	ga_s2bm_ard_3-2-1_52LGK_2021-12-05_final
2021-12-05 11:11:15	ga_s2bm_ard_3-2-1_52LFK_2021-12-05_final
2021-12-05 11:11:16	ga_s2bm_ard_3-2-1_52LEK_2021-12-05_final.stac-item
2021-12-05 11:11:22	ga_s2bm_ard_3-2-1_52LGJ_2021-12-05_final
2021-12-05 11:11:29	ga_s2bm_ard_3-2-1_52LEJ_2021-12-05_final
2021-12-05 11:11:32	ga_s2bm_ard_3-2-1_52LDJ_2021-12-05_final
2021-12-05 11:11:35	ga_s2bm_ard_3-2-1_52LGH_2021-12-05_final
2021-12-05 11:11:40	ga_s2bm_ard_3-2-1_52LFH_2021-12-05_final
2021-12-05 11:11:43	ga_s2bm_ard_3-2-1_52LEH_2021-12-05_final
2021-12-05 11:11:47	ga_s2bm_ard_3-2-1_52LDH_2021-12-05_final
2021-12-05 11:11:54	ga_s2bm_ard_3-2-1_52KFG_2021-12-05_final
2021-12-05 11:12:06	ga_s2bm_ard_3-2-1_52KCG_2021-12-05_final
2021-12-05 11:12:09	ga_s2bm_ard_3-2-1_52KFF_2021-12-05_final
2021-12-05 11:12:16	ga_s2bm_ard_3-2-1_52KDF_2021-12-05_final
2021-12-05 11:12:19	ga_s2bm_ard_3-2-1_52KCF_2021-12-05_final
2021-12-05 11:12:24	ga_s2bm_ard_3-2-1_52KFE_2021-12-05_final
2021-12-05 11:12:27	ga_s2bm_ard_3-2-1_52KEE_2021-12-05_final
2021-12-05 11:12:30	ga_s2bm_ard_3-2-1_52KDE_2021-12-05_final
2021-12-05 11:12:33	ga_s2bm_ard_3-2-1_52KCE_2021-12-05_final
2021-12-05 11:12:37	ga_s2bm_ard_3-2-1_52KFD_2021-12-05_final
2021-12-05 11:12:41	ga_s2bm_ard_3-2-1_52KED_2021-12-05_final
2021-12-05 11:12:45	ga_s2bm_ard_3-2-1_52KDD_2021-12-05_final
2021-12-05 11:12:48	ga_s2bm_ard_3-2-1_52KCD_2021-12-05_final
2021-12-05 11:12:49	ga_s2bm_ard_3-2-1_52KFC_2021-12-05_final
2021-12-05 11:12:56	ga_s2bm_ard_3-2-1_52KEC_2021-12-05_final
2021-12-05 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2021-12-05_final
2021-12-05 11:13:03	ga_s2bm_ard_3-2-1_52KCC_2021-12-05_final
2021-12-05 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2021-12-05_final
2021-12-05 11:13:32	ga_s2bm_ard_3-2-1_52KCA_2021-12-05_final
2021-12-05 11:13:35	ga_s2bm_ard_3-2-1_52KBA_2021-12-05_final
2021-12-05 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2021-12-05_final
2021-12-05 11:13:46	ga_s2bm_ard_3-2-1_52KCV_2021-12-05_final
2021-12-05 11:13:57	ga_s2bm_ard_3-2-1_52KDU_2021-12-05_final
2021-12-05 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2021-12-05_final
2021-12-05 11:14:26	ga_s2bm_ard_3-2-1_52JDS_2021-12-05_final
2021-12-05 11:14:30	ga_s2bm_ard_3-2-1_52JCS_2021-12-05_final
2021-12-05 11:14:33	ga_s2bm_ard_3-2-1_52JBS_2021-12-05_final
2021-12-05 11:14:36	ga_s2bm_ard_3-2-1_51JYM_2021-12-05_final
2021-12-05 11:14:59	ga_s2bm_ard_3-2-1_52JCQ_2021-12-05_final
2021-12-05 11:15:28	ga_s2bm_ard_3-2-1_52JCN_2021-12-05_final
2021-12-05 11:15:38	ga_s2bm_ard_3-2-1_51JXH_2021-12-05_final
2021-12-05 11:16:11	ga_s2bm_ard_3-2-1_52HCK_2021-12-05_final.stac-item
2021-12-05 11:16:39	ga_s2bm_ard_3-2-1_51HWD_2021-12-05_final
2021-12-05 11:16:54	ga_s2bm_ard_3-2-1_51HWC_2021-12-05_final.stac-item
2021-12-05 11:17:01	ga_s2bm_ard_3-2-1_51HXB_2021-12-05_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