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
2023-04-25 11:32:09	ga_s2bm_ard_3-2-1_51KYB_2023-04-25_final.stac-item
2023-04-25 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2023-04-25_final.stac-item
2023-04-25 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2023-04-25_final.stac-item
2023-04-25 11:34:34	ga_s2bm_ard_3-2-1_51JUN_2023-04-25_final.stac-item
2023-04-25 11:34:51	ga_s2bm_ard_3-2-1_50JRS_2023-04-25_final.stac-item
2023-04-25 11:35:50	ga_s2bm_ard_3-2-1_51JTH_2023-04-25_final.stac-item
2023-04-25 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2023-04-25_final.stac-item
2023-04-25 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2023-04-25_final.stac-item
2023-04-25 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2023-04-25_final.stac-item
2023-04-25 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2023-04-25_final.stac-item
2023-04-25 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2023-04-25_final.stac-item
2023-04-26 11:01:19	ga_s2bm_ard_3-2-1_52LGK_2023-04-26_final.stac-item
2023-04-26 11:02:05	ga_s2bm_ard_3-2-1_52KFG_2023-04-26_final.stac-item
2023-04-26 11:04:31	ga_s2bm_ard_3-2-1_52JFS_2023-04-26_final.stac-item
2023-04-26 11:04:57	ga_s2bm_ard_3-2-1_52JCR_2023-04-26_final.stac-item
2023-04-26 11:05:39	ga_s2bm_ard_3-2-1_52JCN_2023-04-26_final.stac-item
2023-04-27 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-04-27_final.stac-item
2023-04-27 12:14:09	ga_s2bm_ard_3-2-1_50KKV_2023-04-27_final.stac-item
2023-04-27 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2023-04-27_final.stac-item
2023-04-27 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-04-27_final.stac-item
2023-04-28 11:41:02	ga_s2bm_ard_3-2-1_51LVG_2023-04-28_final.stac-item
2023-04-28 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2023-04-28_final.stac-item
2023-04-28 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2023-04-28_final.stac-item
2023-04-28 11:42:03	ga_s2bm_ard_3-2-1_51LUC_2023-04-28_final.stac-item
2023-04-28 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2023-04-28_final.stac-item
2023-04-28 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2023-04-28_final.stac-item
2023-04-28 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2023-04-28_final.stac-item
2023-04-28 11:43:38	ga_s2bm_ard_3-2-1_50KQB_2023-04-28_final.stac-item
2023-04-28 11:44:36	ga_s2bm_ard_3-2-1_50JQT_2023-04-28_final.stac-item
2023-04-28 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2023-04-28_final.stac-item
2023-04-28 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2023-04-28_final.stac-item
2023-04-28 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2023-04-28_final.stac-item
2023-04-28 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2023-04-28_final.stac-item
2023-04-28 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2023-04-28_final.stac-item
2023-04-28 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2023-04-28_final.stac-item
2023-04-29 11:10:27	ga_s2bm_ard_3-2-1_52LHN_2023-04-29_final.stac-item
2023-04-29 11:10:31	ga_s2bm_ard_3-2-1_52LGN_2023-04-29_final.stac-item
2023-04-29 11:10:39	ga_s2bm_ard_3-2-1_52LHM_2023-04-29_final.stac-item
2023-04-29 11:11:03	ga_s2bm_ard_3-2-1_52LFL_2023-04-29_final.stac-item
2023-04-29 11:11:06	ga_s2bm_ard_3-2-1_52LEL_2023-04-29_final.stac-item
2023-04-29 11:11:14	ga_s2bm_ard_3-2-1_52LGK_2023-04-29_final.stac-item
2023-04-29 11:11:18	ga_s2bm_ard_3-2-1_52LFK_2023-04-29_final.stac-item
2023-04-29 11:11:29	ga_s2bm_ard_3-2-1_52LGJ_2023-04-29_final.stac-item
2023-04-29 11:11:32	ga_s2bm_ard_3-2-1_52LFJ_2023-04-29_final.stac-item
2023-04-29 11:11:39	ga_s2bm_ard_3-2-1_52LDJ_2023-04-29_final.stac-item
2023-04-29 11:11:50	ga_s2bm_ard_3-2-1_52LEH_2023-04-29_final.stac-item
2023-04-29 11:11:52	ga_s2bm_ard_3-2-1_52KGG_2023-04-29_final.stac-item
2023-04-29 11:12:01	ga_s2bm_ard_3-2-1_52KFG_2023-04-29_final.stac-item
2023-04-29 11:12:05	ga_s2bm_ard_3-2-1_52KEG_2023-04-29_final.stac-item
2023-04-29 11:12:12	ga_s2bm_ard_3-2-1_52KCG_2023-04-29_final.stac-item
2023-04-29 11:12:22	ga_s2bm_ard_3-2-1_52KDF_2023-04-29_final.stac-item
2023-04-29 11:12:37	ga_s2bm_ard_3-2-1_52KDE_2023-04-29_final.stac-item
2023-04-29 11:12:44	ga_s2bm_ard_3-2-1_52KFD_2023-04-29_final.stac-item
2023-04-29 11:12:51	ga_s2bm_ard_3-2-1_52KDD_2023-04-29_final.stac-item
2023-04-29 11:12:55	ga_s2bm_ard_3-2-1_52KCD_2023-04-29_final.stac-item
2023-04-29 11:12:55	ga_s2bm_ard_3-2-1_52KFC_2023-04-29_final.stac-item
2023-04-29 11:13:02	ga_s2bm_ard_3-2-1_52KEC_2023-04-29_final.stac-item
2023-04-29 11:13:09	ga_s2bm_ard_3-2-1_52KCC_2023-04-29_final.stac-item
2023-04-29 11:13:15	ga_s2bm_ard_3-2-1_52KBC_2023-04-29_final.stac-item
2023-04-29 11:13:17	ga_s2bm_ard_3-2-1_52KEB_2023-04-29_final.stac-item
2023-04-29 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2023-04-29_final.stac-item
2023-04-29 11:13:53	ga_s2bm_ard_3-2-1_52KCV_2023-04-29_final.stac-item
2023-04-29 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2023-04-29_final.stac-item
2023-04-29 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2023-04-29_final.stac-item
2023-04-29 11:13:59	ga_s2bm_ard_3-2-1_52KEU_2023-04-29_final.stac-item
2023-04-29 11:14:07	ga_s2bm_ard_3-2-1_52KCU_2023-04-29_final.stac-item
2023-04-29 11:14:09	ga_s2bm_ard_3-2-1_52JET_2023-04-29_final.stac-item
2023-04-29 11:14:11	ga_s2bm_ard_3-2-1_52KBU_2023-04-29_final.stac-item
2023-04-29 11:14:22	ga_s2bm_ard_3-2-1_52JCT_2023-04-29_final.stac-item
2023-04-29 11:14:31	ga_s2bm_ard_3-2-1_51JYN_2023-04-29_final.stac-item
2023-04-29 11:14:33	ga_s2bm_ard_3-2-1_52JDS_2023-04-29_final.stac-item
2023-04-29 11:14:37	ga_s2bm_ard_3-2-1_52JCS_2023-04-29_final.stac-item
2023-04-29 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2023-04-29_final.stac-item
2023-04-29 11:14:40	ga_s2bm_ard_3-2-1_52JBS_2023-04-29_final.stac-item
2023-04-29 11:14:48	ga_s2bm_ard_3-2-1_52JDR_2023-04-29_final.stac-item
2023-04-29 11:14:51	ga_s2bm_ard_3-2-1_52JCR_2023-04-29_final.stac-item
2023-04-29 11:14:54	ga_s2bm_ard_3-2-1_52JBR_2023-04-29_final.stac-item
2023-04-29 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2023-04-29_final.stac-item
2023-04-29 11:15:17	ga_s2bm_ard_3-2-1_51JYK_2023-04-29_final.stac-item
2023-04-29 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2023-04-29_final.stac-item
2023-04-29 11:15:35	ga_s2bm_ard_3-2-1_52JCN_2023-04-29_final.stac-item
2023-04-29 11:15:44	ga_s2bm_ard_3-2-1_51JXH_2023-04-29_final.stac-item
2023-04-29 11:15:53	ga_s2bm_ard_3-2-1_52JBM_2023-04-29_final.stac-item
2023-04-29 11:15:59	ga_s2bm_ard_3-2-1_51JXG_2023-04-29_final.stac-item
2023-04-29 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2023-04-29_final.stac-item
2023-04-29 11:16:10	ga_s2bm_ard_3-2-1_51JYF_2023-04-29_final.stac-item
2023-04-29 11:16:21	ga_s2bm_ard_3-2-1_51JWF_2023-04-29_final.stac-item
2023-04-29 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2023-04-29_final.stac-item
2023-04-29 11:16:28	ga_s2bm_ard_3-2-1_51HXE_2023-04-29_final.stac-item
2023-04-29 11:16:32	ga_s2bm_ard_3-2-1_51HWE_2023-04-29_final.stac-item
2023-04-29 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2023-04-29_final.stac-item
2023-04-29 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2023-04-29_final.stac-item
2023-04-29 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2023-04-29_final.stac-item
2023-04-29 11:16:57	ga_s2bm_ard_3-2-1_51HXC_2023-04-29_final.stac-item
2023-04-29 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2023-04-29_final.stac-item
2023-04-29 11:17:07	ga_s2bm_ard_3-2-1_51HXB_2023-04-29_final.stac-item
2023-04-29 11:17:09	ga_s2bm_ard_3-2-1_51HWB_2023-04-29_final.stac-item
2023-04-30 10:46:08	ga_s2bm_ard_3-2-1_53HME_2023-04-30_final.stac-item
2023-04-30 10:46:11	ga_s2bm_ard_3-2-1_53HLE_2023-04-30_final.stac-item
2023-05-10 10:46:30	ga_s2bm_ard_3-2-1_53HKD_2023-05-10_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

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