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:

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First 100 results (query limit)

Time (local)	Label
2023-11-21 09:49:33	ga_s2bm_ard_3-2-1_56LMP_2023-11-21_nrt.stac-item
2023-11-21 09:49:37	ga_s2bm_ard_3-2-1_56LLP_2023-11-21_nrt.stac-item
2023-11-21 09:49:40	ga_s2bm_ard_3-2-1_56LKP_2023-11-21_nrt.stac-item
2023-11-21 09:49:42	ga_s2bm_ard_3-2-1_55LHJ_2023-11-21_nrt.stac-item
2023-11-21 09:49:46	ga_s2bm_ard_3-2-1_56LMN_2023-11-21_nrt.stac-item
2023-11-21 09:49:46	ga_s2bm_ard_3-2-1_55LGJ_2023-11-21_nrt.stac-item
2023-11-21 09:49:51	ga_s2bm_ard_3-2-1_56LLN_2023-11-21_nrt.stac-item
2023-11-21 09:49:56	ga_s2bm_ard_3-2-1_56LMM_2023-11-21_nrt.stac-item
2023-11-21 09:49:59	ga_s2bm_ard_3-2-1_56LLM_2023-11-21_nrt.stac-item
2023-11-21 09:50:01	ga_s2bm_ard_3-2-1_56LKM_2023-11-21_nrt.stac-item
2023-11-21 09:50:01	ga_s2bm_ard_3-2-1_55LHG_2023-11-21_nrt.stac-item
2023-11-21 09:51:51	ga_s2bm_ard_3-2-1_56KKE_2023-11-21_nrt.stac-item
2023-11-21 09:51:52	ga_s2bm_ard_3-2-1_55KHV_2023-11-21_nrt.stac-item
2023-11-21 09:51:55	ga_s2bm_ard_3-2-1_55KGV_2023-11-21_nrt.stac-item
2023-11-21 09:52:28	ga_s2bm_ard_3-2-1_55KFT_2023-11-21_final.stac-item
2023-11-21 09:52:31	ga_s2bm_ard_3-2-1_55KET_2023-11-21_final.stac-item
2023-11-21 09:52:39	ga_s2bm_ard_3-2-1_55KGS_2023-11-21_final.stac-item
2023-11-21 09:52:42	ga_s2bm_ard_3-2-1_55KFS_2023-11-21_final.stac-item
2023-11-21 09:52:46	ga_s2bm_ard_3-2-1_55KES_2023-11-21_final.stac-item
2023-11-21 09:52:52	ga_s2bm_ard_3-2-1_55KDS_2023-11-21_final.stac-item
2023-11-21 09:52:53	ga_s2bm_ard_3-2-1_55KGR_2023-11-21_final.stac-item
2023-11-21 09:52:57	ga_s2bm_ard_3-2-1_55KFR_2023-11-21_final.stac-item
2023-11-21 09:53:22	ga_s2bm_ard_3-2-1_55KGP_2023-11-21_final.stac-item
2023-11-21 09:53:26	ga_s2bm_ard_3-2-1_55KFP_2023-11-21_final.stac-item
2023-11-21 09:53:47	ga_s2bm_ard_3-2-1_55JFN_2023-11-21_final.stac-item
2023-11-21 09:53:54	ga_s2bm_ard_3-2-1_55JCN_2023-11-21_final.stac-item
2023-11-21 09:53:58	ga_s2bm_ard_3-2-1_55JEM_2023-11-21_final.stac-item
2023-11-21 09:54:02	ga_s2bm_ard_3-2-1_55JDM_2023-11-21_final.stac-item
2023-11-21 09:55:26	ga_s2bm_ard_3-2-1_55JEF_2023-11-21_final.stac-item
2023-11-21 09:55:29	ga_s2bm_ard_3-2-1_55JDF_2023-11-21_final.stac-item
2023-11-21 09:56:05	ga_s2bm_ard_3-2-1_55HBD_2023-11-21_final.stac-item
2023-11-21 09:56:06	ga_s2bm_ard_3-2-1_54HYJ_2023-11-21_final.stac-item
2023-11-21 09:56:12	ga_s2bm_ard_3-2-1_55HDC_2023-11-21_final.stac-item
2023-11-21 09:56:19	ga_s2bm_ard_3-2-1_55HBC_2023-11-21_final.stac-item
2023-11-21 09:56:21	ga_s2bm_ard_3-2-1_54HYH_2023-11-21_final.stac-item
2023-11-21 09:56:27	ga_s2bm_ard_3-2-1_55HDB_2023-11-21_final.stac-item
2023-11-21 09:56:36	ga_s2bm_ard_3-2-1_54HYG_2023-11-21_final.stac-item
2023-11-21 09:56:42	ga_s2bm_ard_3-2-1_55HDA_2023-11-21_final.stac-item
2023-11-21 09:56:42	ga_s2bm_ard_3-2-1_54HXG_2023-11-21_final.stac-item
2023-11-21 09:56:55	ga_s2bm_ard_3-2-1_55HDV_2023-11-21_final.stac-item
2023-11-21 09:57:00	ga_s2bm_ard_3-2-1_55HCV_2023-11-21_final.stac-item
2023-11-21 09:57:03	ga_s2bm_ard_3-2-1_55HBV_2023-11-21_final.stac-item
2023-11-21 09:57:04	ga_s2bm_ard_3-2-1_54HYE_2023-11-21_final.stac-item
2023-11-21 09:57:08	ga_s2bm_ard_3-2-1_54HXE_2023-11-21_final.stac-item
2023-11-21 09:57:44	ga_s2bm_ard_3-2-1_55HCS_2023-11-21_final.stac-item
2023-11-21 09:57:47	ga_s2bm_ard_3-2-1_54HYB_2023-11-21_final.stac-item
2023-11-21 09:57:51	ga_s2bm_ard_3-2-1_54HXB_2023-11-21_nrt.stac-item
2023-11-21 09:57:55	ga_s2bm_ard_3-2-1_54HWB_2023-11-21_nrt.stac-item
2023-11-21 09:57:58	ga_s2bm_ard_3-2-1_55GCR_2023-11-21_final.stac-item
2023-11-21 09:58:01	ga_s2bm_ard_3-2-1_55GBR_2023-11-21_final.stac-item
2023-11-21 09:58:02	ga_s2bm_ard_3-2-1_54GYA_2023-11-21_final.stac-item
2023-11-21 09:58:06	ga_s2bm_ard_3-2-1_54GXA_2023-11-21_nrt.stac-item
2023-11-21 09:58:10	ga_s2bm_ard_3-2-1_54GWA_2023-11-21_nrt.stac-item
2023-11-21 09:58:10	ga_s2bm_ard_3-2-1_55GCQ_2023-11-21_final.stac-item
2023-11-21 09:58:16	ga_s2bm_ard_3-2-1_55GBQ_2023-11-21_final.stac-item
2023-11-21 09:58:16	ga_s2bm_ard_3-2-1_54GYV_2023-11-21_final.stac-item
2023-11-21 09:58:20	ga_s2bm_ard_3-2-1_54GXV_2023-11-21_nrt.stac-item
2023-11-21 09:58:20	ga_s2bm_ard_3-2-1_55GCP_2023-11-21_final.stac-item
2023-11-21 09:58:23	ga_s2bm_ard_3-2-1_54GWV_2023-11-21_nrt.stac-item
2023-11-21 09:58:25	ga_s2bm_ard_3-2-1_54GYU_2023-11-21_nrt.stac-item
2023-11-21 09:58:25	ga_s2bm_ard_3-2-1_55GBP_2023-11-21_nrt.stac-item
2023-11-21 09:58:27	ga_s2bm_ard_3-2-1_54GXU_2023-11-21_nrt.stac-item
2023-11-21 11:30:11	ga_s2bm_ard_3-2-1_52LCP_2023-11-21_nrt.stac-item
2023-11-21 11:30:17	ga_s2bm_ard_3-2-1_52LBP_2023-11-21_nrt.stac-item
2023-11-21 11:30:19	ga_s2bm_ard_3-2-1_51LZJ_2023-11-21_nrt.stac-item
2023-11-21 11:30:23	ga_s2bm_ard_3-2-1_51LYJ_2023-11-21_nrt.stac-item
2023-11-21 11:30:26	ga_s2bm_ard_3-2-1_51LXJ_2023-11-21_nrt.stac-item
2023-11-21 11:30:40	ga_s2bm_ard_3-2-1_51LXH_2023-11-21_nrt.stac-item
2023-11-21 11:30:47	ga_s2bm_ard_3-2-1_52LBM_2023-11-21_nrt.stac-item
2023-11-21 11:30:48	ga_s2bm_ard_3-2-1_51LZG_2023-11-21_nrt.stac-item
2023-11-21 11:30:52	ga_s2bm_ard_3-2-1_51LYG_2023-11-21_nrt.stac-item
2023-11-21 11:30:55	ga_s2bm_ard_3-2-1_51LXG_2023-11-21_nrt.stac-item
2023-11-21 11:31:24	ga_s2bm_ard_3-2-1_51LXE_2023-11-21_nrt.stac-item
2023-11-21 11:31:30	ga_s2bm_ard_3-2-1_51LYE_2023-11-21_final.stac-item
2023-11-21 11:31:31	ga_s2bm_ard_3-2-1_51LXE_2023-11-21_nrt.stac-item
2023-11-21 11:31:32	ga_s2bm_ard_3-2-1_51LWE_2023-11-21_final.stac-item
2023-11-21 11:32:33	ga_s2bm_ard_3-2-1_51KYV_2023-11-21_final.stac-item
2023-11-21 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2023-11-21_final.stac-item
2023-11-21 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2023-11-21_final.stac-item
2023-11-21 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2023-11-21_final.stac-item
2023-11-21 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-11-21_final.stac-item
2023-11-21 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2023-11-21_final.stac-item
2023-11-21 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2023-11-21_final.stac-item
2023-11-21 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2023-11-21_final.stac-item
2023-11-21 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2023-11-21_final.stac-item
2023-11-21 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2023-11-21_final.stac-item
2023-11-21 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2023-11-21_final.stac-item
2023-11-21 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2023-11-21_final.stac-item
2023-11-21 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2023-11-21_final.stac-item
2023-11-21 11:34:02	ga_s2bm_ard_3-2-1_51KXP_2023-11-21_final.stac-item
2023-11-21 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2023-11-21_final.stac-item
2023-11-21 11:34:28	ga_s2bm_ard_3-2-1_51JUN_2023-11-21_final.stac-item
2023-11-21 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2023-11-21_final.stac-item
2023-11-21 11:34:46	ga_s2bm_ard_3-2-1_51JTM_2023-11-21_final.stac-item
2023-11-21 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2023-11-21_final.stac-item
2023-11-21 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2023-11-21_final.stac-item
2023-11-21 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2023-11-21_final.stac-item
2023-11-21 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2023-11-21_final.stac-item
2023-11-21 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2023-11-21_final.stac-item
2023-11-21 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2023-11-21_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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