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
2021-09-28 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2021-09-28_final
2021-09-28 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2021-09-28_final
2021-09-28 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2021-09-28_final
2021-09-28 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2021-09-28_final
2021-09-28 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2021-09-28_final
2021-09-28 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-09-28_final
2021-09-28 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-09-28_final
2021-09-28 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2021-09-28_final
2021-09-28 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-09-28_final
2021-09-28 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-09-28_final
2021-09-28 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-09-28_final
2021-09-28 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-09-28_final
2021-09-28 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-09-28_final
2021-09-29 09:41:31	ga_s2bm_ard_3-2-1_55KHB_2021-09-29_final.stac-item
2021-09-29 09:41:40	ga_s2bm_ard_3-2-1_56KLF_2021-09-29_final
2021-09-29 09:42:32	ga_s2bm_ard_3-2-1_55KGT_2021-09-29_final
2021-09-29 09:42:39	ga_s2bm_ard_3-2-1_56KLB_2021-09-29_final
2021-09-29 09:42:42	ga_s2bm_ard_3-2-1_55KHS_2021-09-29_final
2021-09-29 09:42:56	ga_s2bm_ard_3-2-1_56KKA_2021-09-29_final
2021-09-29 09:42:57	ga_s2bm_ard_3-2-1_55KHR_2021-09-29_final
2021-09-29 09:43:00	ga_s2bm_ard_3-2-1_55KGR_2021-09-29_final
2021-09-29 09:43:22	ga_s2bm_ard_3-2-1_56KLU_2021-09-29_final
2021-09-29 09:43:26	ga_s2bm_ard_3-2-1_56KKU_2021-09-29_final
2021-09-29 09:43:26	ga_s2bm_ard_3-2-1_55KHP_2021-09-29_final
2021-09-29 09:43:29	ga_s2bm_ard_3-2-1_55KGP_2021-09-29_final
2021-09-29 09:43:34	ga_s2bm_ard_3-2-1_55KFP_2021-09-29_final
2021-09-29 09:43:40	ga_s2bm_ard_3-2-1_55JHN_2021-09-29_final
2021-09-29 09:43:44	ga_s2bm_ard_3-2-1_55JGN_2021-09-29_final
2021-09-29 09:43:51	ga_s2bm_ard_3-2-1_56JLS_2021-09-29_final
2021-09-29 09:43:54	ga_s2bm_ard_3-2-1_55JHM_2021-09-29_final
2021-09-29 09:43:55	ga_s2bm_ard_3-2-1_56JKS_2021-09-29_final
2021-09-29 09:43:58	ga_s2bm_ard_3-2-1_55JGM_2021-09-29_final
2021-09-29 09:44:02	ga_s2bm_ard_3-2-1_55JFM_2021-09-29_final
2021-09-29 09:44:05	ga_s2bm_ard_3-2-1_56JLR_2021-09-29_final
2021-09-29 09:44:13	ga_s2bm_ard_3-2-1_55JGL_2021-09-29_final
2021-09-29 09:44:16	ga_s2bm_ard_3-2-1_55JFL_2021-09-29_final
2021-09-29 09:44:31	ga_s2bm_ard_3-2-1_55JFK_2021-09-29_final
2021-09-29 09:44:35	ga_s2bm_ard_3-2-1_55JEK_2021-09-29_final
2021-09-29 09:44:53	ga_s2bm_ard_3-2-1_56JKN_2021-09-29_final
2021-09-29 09:45:21	ga_s2bm_ard_3-2-1_56JKL_2021-09-29_final
2021-09-29 09:45:24	ga_s2bm_ard_3-2-1_55JGF_2021-09-29_final
2021-09-29 09:45:25	ga_s2bm_ard_3-2-1_55JDG_2021-09-29_final
2021-09-29 09:45:43	ga_s2bm_ard_3-2-1_55HFE_2021-09-29_final
2021-09-29 09:45:58	ga_s2bm_ard_3-2-1_55HFD_2021-09-29_final
2021-09-29 09:46:12	ga_s2bm_ard_3-2-1_55HFC_2021-09-29_final
2021-09-29 09:46:16	ga_s2bm_ard_3-2-1_55HEC_2021-09-29_final
2021-09-29 09:46:19	ga_s2bm_ard_3-2-1_55HDC_2021-09-29_final
2021-09-29 09:46:55	ga_s2bm_ard_3-2-1_55HFV_2021-09-29_final
2021-09-29 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2021-09-29_final
2021-09-29 09:47:06	ga_s2bm_ard_3-2-1_55HCV_2021-09-29_final
2021-09-29 09:47:08	ga_s2bm_ard_3-2-1_55HFU_2021-09-29_final.stac-item
2021-09-29 09:47:25	ga_s2bm_ard_3-2-1_55HDT_2021-09-29_final
2021-09-29 09:47:32	ga_s2bm_ard_3-2-1_55HDT_2021-09-29_final
2021-09-29 11:20:57	ga_s2bm_ard_3-2-1_52LEL_2021-09-29_final.stac-item
2021-09-29 11:21:35	ga_s2bm_ard_3-2-1_52LCJ_2021-09-29_final
2021-09-29 11:21:38	ga_s2bm_ard_3-2-1_52LBJ_2021-09-29_final
2021-09-29 11:21:39	ga_s2bm_ard_3-2-1_51LZD_2021-09-29_final
2021-09-29 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2021-09-29_final
2021-09-29 11:22:18	ga_s2bm_ard_3-2-1_52KCF_2021-09-29_final
2021-09-29 11:22:51	ga_s2bm_ard_3-2-1_52KBD_2021-09-29_final
2021-09-29 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2021-09-29_final
2021-09-29 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2021-09-29_final
2021-09-29 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2021-09-29_final
2021-09-29 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2021-09-29_final
2021-09-29 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-09-29_final
2021-09-29 11:23:15	ga_s2bm_ard_3-2-1_52KCB_2021-09-29_final
2021-09-29 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2021-09-29_final
2021-09-29 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-09-29_final
2021-09-29 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2021-09-29_final
2021-09-29 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2021-09-29_final
2021-09-29 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-09-29_final
2021-09-29 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2021-09-29_final
2021-09-29 11:24:03	ga_s2bm_ard_3-2-1_52KBU_2021-09-29_final
2021-09-29 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2021-09-29_final
2021-09-29 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2021-09-29_final
2021-09-29 11:24:18	ga_s2bm_ard_3-2-1_52JBT_2021-09-29_final
2021-09-29 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2021-09-29_final
2021-09-29 11:24:22	ga_s2bm_ard_3-2-1_51JYN_2021-09-29_final
2021-09-29 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2021-09-29_final
2021-09-29 11:24:31	ga_s2bm_ard_3-2-1_51JZM_2021-09-29_final
2021-09-29 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2021-09-29_final
2021-09-29 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2021-09-29_final
2021-09-29 11:24:42	ga_s2bm_ard_3-2-1_52JBR_2021-09-29_final
2021-09-29 11:24:43	ga_s2bm_ard_3-2-1_51JWM_2021-09-29_final
2021-09-29 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-09-29_final
2021-09-29 11:24:54	ga_s2bm_ard_3-2-1_51JXL_2021-09-29_final
2021-09-29 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2021-09-29_final
2021-09-29 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2021-09-29_final
2021-09-29 11:25:33	ga_s2bm_ard_3-2-1_51JYH_2021-09-29_final
2021-09-29 11:25:38	ga_s2bm_ard_3-2-1_51JXH_2021-09-29_final
2021-09-29 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2021-09-29_final
2021-09-29 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2021-09-29_final
2021-09-29 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2021-09-29_final
2021-09-29 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2021-09-29_final
2021-09-29 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2021-09-29_final
2021-09-29 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-09-29_final
2021-09-29 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2021-09-29_final
2021-09-29 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-09-29_final
2021-09-29 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2021-09-29_final.stac-item
2021-09-29 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2021-09-29_final

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