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
2023-11-27 11:56:54	ga_s2bm_ard_3-2-1_50HKJ_2023-11-27_nrt.stac-item
2023-11-27 11:56:56	ga_s2bm_ard_3-2-1_49HGD_2023-11-27_nrt.stac-item
2023-11-27 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-11-27_final.stac-item
2023-11-27 11:57:09	ga_s2bm_ard_3-2-1_50HKH_2023-11-27_nrt.stac-item
2023-11-27 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2023-11-27_final.stac-item
2023-11-27 11:57:19	ga_s2bm_ard_3-2-1_49HFC_2023-11-27_nrt.stac-item
2023-11-27 11:57:20	ga_s2bm_ard_3-2-1_50HKG_2023-11-27_nrt.stac-item
2023-11-27 11:57:21	ga_s2bm_ard_3-2-1_49HGB_2023-11-27_nrt.stac-item
2023-11-28 09:39:46	ga_s2bm_ard_3-2-1_56LPN_2023-11-28_nrt.stac-item
2023-11-28 09:39:50	ga_s2bm_ard_3-2-1_56LNN_2023-11-28_nrt.stac-item
2023-11-28 09:39:53	ga_s2bm_ard_3-2-1_56LMN_2023-11-28_nrt.stac-item
2023-11-28 09:39:57	ga_s2bm_ard_3-2-1_56LLN_2023-11-28_nrt.stac-item
2023-11-28 09:42:18	ga_s2bm_ard_3-2-1_56KMC_2023-11-28_nrt.stac-item
2023-11-28 09:42:21	ga_s2bm_ard_3-2-1_56KLC_2023-11-28_nrt.stac-item
2023-11-28 09:42:54	ga_s2bm_ard_3-2-1_56KKA_2023-11-28_final.stac-item
2023-11-28 09:43:27	ga_s2bm_ard_3-2-1_55KGP_2023-11-28_final.stac-item
2023-11-28 09:43:52	ga_s2bm_ard_3-2-1_56JKS_2023-11-28_final.stac-item
2023-11-28 09:43:56	ga_s2bm_ard_3-2-1_55JGM_2023-11-28_final.stac-item
2023-11-28 09:44:02	ga_s2bm_ard_3-2-1_56JLR_2023-11-28_final.stac-item
2023-11-28 09:44:07	ga_s2bm_ard_3-2-1_56JKR_2023-11-28_final.stac-item
2023-11-28 09:44:10	ga_s2bm_ard_3-2-1_55JGL_2023-11-28_final.stac-item
2023-11-28 09:44:13	ga_s2bm_ard_3-2-1_56JLQ_2023-11-28_final.stac-item
2023-11-28 09:44:14	ga_s2bm_ard_3-2-1_55JFL_2023-11-28_final.stac-item
2023-11-28 09:44:21	ga_s2bm_ard_3-2-1_56JKQ_2023-11-28_final.stac-item
2023-11-28 09:44:25	ga_s2bm_ard_3-2-1_55JGK_2023-11-28_final.stac-item
2023-11-28 09:44:28	ga_s2bm_ard_3-2-1_55JFK_2023-11-28_final.stac-item
2023-11-28 09:44:32	ga_s2bm_ard_3-2-1_55JEK_2023-11-28_final.stac-item
2023-11-28 09:44:36	ga_s2bm_ard_3-2-1_56JKP_2023-11-28_final.stac-item
2023-11-28 09:44:39	ga_s2bm_ard_3-2-1_55JGJ_2023-11-28_final.stac-item
2023-11-28 09:44:50	ga_s2bm_ard_3-2-1_56JKN_2023-11-28_final.stac-item
2023-11-28 09:44:53	ga_s2bm_ard_3-2-1_55JGH_2023-11-28_final.stac-item
2023-11-28 09:45:01	ga_s2bm_ard_3-2-1_55JEH_2023-11-28_final.stac-item
2023-11-28 09:45:05	ga_s2bm_ard_3-2-1_56JKM_2023-11-28_final.stac-item
2023-11-28 09:45:08	ga_s2bm_ard_3-2-1_55JGG_2023-11-28_final.stac-item
2023-11-28 09:45:29	ga_s2bm_ard_3-2-1_56HKK_2023-11-28_final.stac-item
2023-11-28 09:45:30	ga_s2bm_ard_3-2-1_55JEF_2023-11-28_final.stac-item
2023-11-28 09:45:34	ga_s2bm_ard_3-2-1_55JDF_2023-11-28_final.stac-item
2023-11-28 09:45:37	ga_s2bm_ard_3-2-1_55HGE_2023-11-28_final.stac-item
2023-11-28 09:45:40	ga_s2bm_ard_3-2-1_55HFE_2023-11-28_final.stac-item
2023-11-28 09:45:51	ga_s2bm_ard_3-2-1_55HGD_2023-11-28_final.stac-item
2023-11-28 09:46:04	ga_s2bm_ard_3-2-1_55HGC_2023-11-28_final.stac-item
2023-11-28 09:46:13	ga_s2bm_ard_3-2-1_55HEC_2023-11-28_final.stac-item
2023-11-28 09:46:17	ga_s2bm_ard_3-2-1_55HDC_2023-11-28_final.stac-item
2023-11-28 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2023-11-28_final.stac-item
2023-11-28 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2023-11-28_final.stac-item
2023-11-28 09:46:53	ga_s2bm_ard_3-2-1_55HFV_2023-11-28_final.stac-item
2023-11-28 09:46:57	ga_s2bm_ard_3-2-1_55HEV_2023-11-28_final.stac-item
2023-11-28 09:47:00	ga_s2bm_ard_3-2-1_55HDV_2023-11-28_final.stac-item
2023-11-28 09:47:03	ga_s2bm_ard_3-2-1_55HCV_2023-11-28_final.stac-item
2023-11-28 09:47:08	ga_s2bm_ard_3-2-1_55HDV_2023-11-28_final.stac-item
2023-11-28 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2023-11-28_final.stac-item
2023-11-28 09:47:40	ga_s2bm_ard_3-2-1_55HES_2023-11-28_final.stac-item
2023-11-28 09:47:44	ga_s2bm_ard_3-2-1_55HDS_2023-11-28_final.stac-item
2023-11-28 09:47:47	ga_s2bm_ard_3-2-1_55HCS_2023-11-28_final.stac-item
2023-11-28 09:47:50	ga_s2bm_ard_3-2-1_55HBS_2023-11-28_final.stac-item
2023-11-28 09:47:51	ga_s2bm_ard_3-2-1_54HYB_2023-11-28_final.stac-item
2023-11-28 09:47:55	ga_s2bm_ard_3-2-1_55GER_2023-11-28_final.stac-item
2023-11-28 09:47:58	ga_s2bm_ard_3-2-1_55GDR_2023-11-28_final.stac-item
2023-11-28 09:48:02	ga_s2bm_ard_3-2-1_55GCR_2023-11-28_final.stac-item
2023-11-28 09:48:05	ga_s2bm_ard_3-2-1_54GYA_2023-11-28_final.stac-item
2023-11-28 09:48:08	ga_s2bm_ard_3-2-1_55GEQ_2023-11-28_final.stac-item
2023-11-28 09:48:13	ga_s2bm_ard_3-2-1_55GDQ_2023-11-28_final.stac-item
2023-11-28 09:48:16	ga_s2bm_ard_3-2-1_55GCQ_2023-11-28_final.stac-item
2023-11-28 09:48:18	ga_s2bm_ard_3-2-1_55GEP_2023-11-28_final.stac-item
2023-11-28 09:48:20	ga_s2bm_ard_3-2-1_55GBQ_2023-11-28_final.stac-item
2023-11-28 09:48:20	ga_s2bm_ard_3-2-1_54GYV_2023-11-28_final.stac-item
2023-11-28 09:48:27	ga_s2bm_ard_3-2-1_55GDP_2023-11-28_final.stac-item
2023-11-28 09:48:31	ga_s2bm_ard_3-2-1_55GCP_2023-11-28_final.stac-item
2023-11-28 09:48:34	ga_s2bm_ard_3-2-1_54GYU_2023-11-28_nrt.stac-item
2023-11-28 09:48:34	ga_s2bm_ard_3-2-1_55GBP_2023-11-28_nrt.stac-item
2023-11-28 09:48:39	ga_s2bm_ard_3-2-1_54GXU_2023-11-28_nrt.stac-item
2023-11-28 11:20:27	ga_s2bm_ard_3-2-1_52LEN_2023-11-28_nrt.stac-item
2023-11-28 11:20:31	ga_s2bm_ard_3-2-1_52LDN_2023-11-28_nrt.stac-item
2023-11-28 11:20:34	ga_s2bm_ard_3-2-1_52LCN_2023-11-28_nrt.stac-item
2023-11-28 11:22:29	ga_s2bm_ard_3-2-1_51KZV_2023-11-28_final.stac-item
2023-11-28 11:22:59	ga_s2bm_ard_3-2-1_52KCC_2023-11-28_final.stac-item
2023-11-28 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2023-11-28_final.stac-item
2023-11-28 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2023-11-28_final.stac-item
2023-11-28 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2023-11-28_final.stac-item
2023-11-28 11:24:01	ga_s2bm_ard_3-2-1_52KBU_2023-11-28_final.stac-item
2023-11-28 11:24:05	ga_s2bm_ard_3-2-1_51KYP_2023-11-28_final.stac-item
2023-11-28 11:24:11	ga_s2bm_ard_3-2-1_51KWP_2023-11-28_final.stac-item
2023-11-28 11:24:29	ga_s2bm_ard_3-2-1_52JBS_2023-11-28_final.stac-item
2023-11-28 11:24:33	ga_s2bm_ard_3-2-1_51JYM_2023-11-28_final.stac-item
2023-11-28 11:24:40	ga_s2bm_ard_3-2-1_52JBR_2023-11-28_final.stac-item
2023-11-28 11:24:48	ga_s2bm_ard_3-2-1_51JYL_2023-11-28_final.stac-item
2023-11-28 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2023-11-28_final.stac-item
2023-11-28 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2023-11-28_final.stac-item
2023-11-28 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2023-11-28_final.stac-item
2023-11-28 11:25:17	ga_s2bm_ard_3-2-1_51JYJ_2023-11-28_final.stac-item
2023-11-28 11:25:24	ga_s2bm_ard_3-2-1_51JWJ_2023-11-28_final.stac-item
2023-11-28 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2023-11-28_final.stac-item
2023-11-28 11:25:30	ga_s2bm_ard_3-2-1_51JYH_2023-11-28_final.stac-item
2023-11-28 11:25:39	ga_s2bm_ard_3-2-1_51JWH_2023-11-28_final.stac-item
2023-11-28 11:25:42	ga_s2bm_ard_3-2-1_51JYG_2023-11-28_final.stac-item
2023-11-28 11:25:42	ga_s2bm_ard_3-2-1_51JVH_2023-11-28_final.stac-item
2023-11-28 11:26:19	ga_s2bm_ard_3-2-1_51HXE_2023-11-28_final.stac-item
2023-11-28 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2023-11-28_final.stac-item
2023-11-28 11:26:51	ga_s2bm_ard_3-2-1_51HWC_2023-11-28_final.stac-item
2023-11-28 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2023-11-28_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

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