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
2023-04-14 10:19:42	ga_s2bm_ard_3-2-1_54LYQ_2023-04-14_final.stac-item
2023-04-14 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2023-04-14_final.stac-item
2023-04-14 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2023-04-14_final.stac-item
2023-04-14 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2023-04-14_final.stac-item
2023-04-15 09:55:54	ga_s2bm_ard_3-2-1_55HBE_2023-04-15_final.stac-item
2023-04-15 09:56:06	ga_s2bm_ard_3-2-1_55HCD_2023-04-15_final.stac-item
2023-04-15 09:56:09	ga_s2bm_ard_3-2-1_55HBD_2023-04-15_final.stac-item
2023-04-15 09:56:20	ga_s2bm_ard_3-2-1_55HCC_2023-04-15_final.stac-item
2023-04-15 09:56:25	ga_s2bm_ard_3-2-1_54HYH_2023-04-15_final.stac-item
2023-04-15 09:56:32	ga_s2bm_ard_3-2-1_55HDB_2023-04-15_final.stac-item
2023-04-15 09:56:40	ga_s2bm_ard_3-2-1_54HYG_2023-04-15_final.stac-item
2023-04-15 09:56:53	ga_s2bm_ard_3-2-1_55HBA_2023-04-15_final.stac-item
2023-04-15 09:57:07	ga_s2bm_ard_3-2-1_55HBV_2023-04-15_final.stac-item
2023-04-15 09:57:12	ga_s2bm_ard_3-2-1_54HXE_2023-04-15_final.stac-item
2023-04-15 09:57:18	ga_s2bm_ard_3-2-1_55HCU_2023-04-15_final.stac-item
2023-04-15 09:57:22	ga_s2bm_ard_3-2-1_55HBU_2023-04-15_final.stac-item
2023-04-15 09:57:23	ga_s2bm_ard_3-2-1_54HYD_2023-04-15_final.stac-item
2023-04-15 09:57:27	ga_s2bm_ard_3-2-1_54HXD_2023-04-15_final.stac-item
2023-04-15 09:57:33	ga_s2bm_ard_3-2-1_55HCT_2023-04-15_final.stac-item
2023-04-15 09:57:37	ga_s2bm_ard_3-2-1_54HYC_2023-04-15_final.stac-item
2023-04-15 09:57:46	ga_s2bm_ard_3-2-1_54HWC_2023-04-15_final.stac-item
2023-04-15 09:58:02	ga_s2bm_ard_3-2-1_55GCR_2023-04-15_final.stac-item
2023-04-15 09:58:06	ga_s2bm_ard_3-2-1_55GBR_2023-04-15_final.stac-item
2023-04-15 09:58:20	ga_s2bm_ard_3-2-1_55GBQ_2023-04-15_final.stac-item
2023-04-15 09:58:20	ga_s2bm_ard_3-2-1_54GYV_2023-04-15_final.stac-item
2023-04-15 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2023-04-15_final.stac-item
2023-04-15 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2023-04-15_final.stac-item
2023-04-15 11:31:30	ga_s2bm_ard_3-2-1_52LBJ_2023-04-15_final.stac-item
2023-04-15 11:31:31	ga_s2bm_ard_3-2-1_51LWE_2023-04-15_final.stac-item
2023-04-15 11:31:36	ga_s2bm_ard_3-2-1_51LZD_2023-04-15_final.stac-item
2023-04-15 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2023-04-15_final.stac-item
2023-04-15 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2023-04-15_final.stac-item
2023-04-15 11:32:12	ga_s2bm_ard_3-2-1_51KXB_2023-04-15_final.stac-item
2023-04-15 11:32:23	ga_s2bm_ard_3-2-1_51KYA_2023-04-15_final.stac-item
2023-04-15 11:32:26	ga_s2bm_ard_3-2-1_51KXA_2023-04-15_final.stac-item
2023-04-15 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2023-04-15_final.stac-item
2023-04-15 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2023-04-15_final.stac-item
2023-04-15 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2023-04-15_final.stac-item
2023-04-15 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2023-04-15_final.stac-item
2023-04-15 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2023-04-15_final.stac-item
2023-04-15 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2023-04-15_final.stac-item
2023-04-15 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2023-04-15_final.stac-item
2023-04-15 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2023-04-15_final.stac-item
2023-04-15 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2023-04-15_final.stac-item
2023-04-15 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2023-04-15_final.stac-item
2023-04-15 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2023-04-15_final.stac-item
2023-04-15 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2023-04-15_final.stac-item
2023-04-15 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2023-04-15_final.stac-item
2023-04-15 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2023-04-15_final.stac-item
2023-04-15 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2023-04-15_final.stac-item
2023-04-15 11:34:37	ga_s2bm_ard_3-2-1_51JTN_2023-04-15_final.stac-item
2023-04-15 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2023-04-15_final.stac-item
2023-04-15 11:34:40	ga_s2bm_ard_3-2-1_51JWM_2023-04-15_final.stac-item
2023-04-15 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2023-04-15_final.stac-item
2023-04-15 11:34:50	ga_s2bm_ard_3-2-1_51JTM_2023-04-15_final.stac-item
2023-04-15 11:34:55	ga_s2bm_ard_3-2-1_51JWL_2023-04-15_final.stac-item
2023-04-15 11:35:16	ga_s2bm_ard_3-2-1_51JUK_2023-04-15_final.stac-item
2023-04-15 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2023-04-15_final.stac-item
2023-04-15 11:35:31	ga_s2bm_ard_3-2-1_51JUJ_2023-04-15_final.stac-item
2023-04-15 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2023-04-15_final.stac-item
2023-04-15 11:35:46	ga_s2bm_ard_3-2-1_51JUH_2023-04-15_final.stac-item
2023-04-15 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2023-04-15_final.stac-item
2023-04-15 11:36:03	ga_s2bm_ard_3-2-1_51JTG_2023-04-15_final.stac-item
2023-04-15 11:36:06	ga_s2bm_ard_3-2-1_50JQM_2023-04-15_final.stac-item
2023-04-15 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2023-04-15_final.stac-item
2023-04-15 11:36:18	ga_s2bm_ard_3-2-1_51JTF_2023-04-15_final.stac-item
2023-04-15 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2023-04-15_final.stac-item
2023-04-15 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2023-04-15_final.stac-item
2023-04-15 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2023-04-15_final.stac-item
2023-04-15 11:36:32	ga_s2bm_ard_3-2-1_51HTE_2023-04-15_final.stac-item
2023-04-15 11:36:35	ga_s2bm_ard_3-2-1_51HVD_2023-04-15_final.stac-item
2023-04-15 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2023-04-15_final.stac-item
2023-04-15 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-04-15_final.stac-item
2023-04-15 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2023-04-15_final.stac-item
2023-04-15 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2023-04-15_final.stac-item
2023-04-15 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2023-04-15_final.stac-item
2023-04-15 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-04-15_final.stac-item
2023-04-15 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-04-15_final.stac-item
2023-04-15 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2023-04-15_final.stac-item
2023-04-15 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-04-15_final.stac-item
2023-04-15 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-04-15_final.stac-item
2023-04-15 11:37:16	ga_s2bm_ard_3-2-1_51HTB_2023-04-15_final.stac-item
2023-04-15 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-04-15_final.stac-item
2023-04-15 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-04-15_final.stac-item
2023-04-15 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2023-04-15_final.stac-item
2023-04-16 09:28:36	ga_s2bm_ard_3-2-1_55GFP_2023-04-15_final.stac-item
2023-04-16 09:28:39	ga_s2bm_ard_3-2-1_55GEP_2023-04-15_final.stac-item
2023-04-25 11:30:25	ga_s2bm_ard_3-2-1_51LZJ_2023-04-25_nrt.stac-item
2023-04-25 11:30:39	ga_s2bm_ard_3-2-1_51LZH_2023-04-25_nrt.stac-item
2023-04-25 11:30:52	ga_s2bm_ard_3-2-1_52LBM_2023-04-25_nrt.stac-item
2023-04-25 11:30:54	ga_s2bm_ard_3-2-1_51LZG_2023-04-25_nrt.stac-item
2023-04-25 11:31:07	ga_s2bm_ard_3-2-1_52LBL_2023-04-25_nrt.stac-item
2023-04-25 11:31:08	ga_s2bm_ard_3-2-1_51LZF_2023-04-25_nrt.stac-item
2023-04-25 11:31:19	ga_s2bm_ard_3-2-1_51LWF_2023-04-25_nrt.stac-item
2023-04-25 11:37:26	ga_s2bm_ard_3-2-1_51HUA_2023-04-25_nrt.stac-item
2023-04-25 11:37:33	ga_s2bm_ard_3-2-1_50HNF_2023-04-25_nrt.stac-item
2023-04-26 09:27:59	ga_s2bm_ard_3-2-1_55GGR_2023-04-25_nrt.stac-item
2023-04-26 09:28:14	ga_s2bm_ard_3-2-1_55GGQ_2023-04-25_nrt.stac-item
2023-04-26 11:06:16	ga_s2bm_ard_3-2-1_52HEK_2023-04-26_nrt.stac-item
2023-04-26 11:06:30	ga_s2bm_ard_3-2-1_52HEJ_2023-04-26_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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