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
2023-06-14 09:55:59	ga_s2bm_ard_3-2-1_55HBE_2023-06-14_final.stac-item
2023-06-14 09:55:59	ga_s2bm_ard_3-2-1_55HED_2023-06-14_final.stac-item
2023-06-14 09:56:10	ga_s2bm_ard_3-2-1_55HCD_2023-06-14_final.stac-item
2023-06-14 09:56:13	ga_s2bm_ard_3-2-1_55HBD_2023-06-14_final.stac-item
2023-06-14 09:56:21	ga_s2bm_ard_3-2-1_55HDC_2023-06-14_final.stac-item
2023-06-14 09:56:25	ga_s2bm_ard_3-2-1_55HCC_2023-06-14_final.stac-item
2023-06-14 09:56:30	ga_s2bm_ard_3-2-1_54HYH_2023-06-14_final.stac-item
2023-06-14 09:56:36	ga_s2bm_ard_3-2-1_55HDB_2023-06-14_final.stac-item
2023-06-14 09:56:44	ga_s2bm_ard_3-2-1_54HYG_2023-06-14_final.stac-item
2023-06-14 09:57:11	ga_s2bm_ard_3-2-1_55HBV_2023-06-14_final.stac-item
2023-06-14 09:57:23	ga_s2bm_ard_3-2-1_55HCU_2023-06-14_final.stac-item
2023-06-14 09:57:26	ga_s2bm_ard_3-2-1_55HBU_2023-06-14_final.stac-item
2023-06-14 09:57:27	ga_s2bm_ard_3-2-1_54HYD_2023-06-14_final.stac-item
2023-06-14 09:57:37	ga_s2bm_ard_3-2-1_55HCT_2023-06-14_final.stac-item
2023-06-14 09:57:42	ga_s2bm_ard_3-2-1_54HYC_2023-06-14_final.stac-item
2023-06-14 09:57:45	ga_s2bm_ard_3-2-1_54HXC_2023-06-14_final.stac-item
2023-06-14 09:57:50	ga_s2bm_ard_3-2-1_54HWC_2023-06-14_final.stac-item
2023-06-14 11:31:40	ga_s2bm_ard_3-2-1_51LZD_2023-06-14_final.stac-item
2023-06-14 11:31:58	ga_s2bm_ard_3-2-1_51LYC_2023-06-14_final.stac-item
2023-06-14 11:32:04	ga_s2bm_ard_3-2-1_51KZB_2023-06-14_final.stac-item
2023-06-14 11:32:05	ga_s2bm_ard_3-2-1_51LWC_2023-06-14_final.stac-item
2023-06-14 11:32:16	ga_s2bm_ard_3-2-1_51KXB_2023-06-14_final.stac-item
2023-06-14 11:32:27	ga_s2bm_ard_3-2-1_51KYA_2023-06-14_final.stac-item
2023-06-14 11:32:31	ga_s2bm_ard_3-2-1_51KXA_2023-06-14_final.stac-item
2023-06-14 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2023-06-14_final.stac-item
2023-06-14 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2023-06-14_final.stac-item
2023-06-14 11:32:52	ga_s2bm_ard_3-2-1_51KVV_2023-06-14_final.stac-item
2023-06-14 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2023-06-14_final.stac-item
2023-06-14 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2023-06-14_final.stac-item
2023-06-14 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-06-14_final.stac-item
2023-06-14 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2023-06-14_final.stac-item
2023-06-14 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-06-14_final.stac-item
2023-06-14 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2023-06-14_final.stac-item
2023-06-14 11:34:05	ga_s2bm_ard_3-2-1_51KVQ_2023-06-14_final.stac-item
2023-06-14 11:34:16	ga_s2bm_ard_3-2-1_51KWP_2023-06-14_final.stac-item
2023-06-14 11:34:19	ga_s2bm_ard_3-2-1_51KVP_2023-06-14_final.stac-item
2023-06-14 11:34:37	ga_s2bm_ard_3-2-1_51JUN_2023-06-14_final.stac-item
2023-06-14 11:34:41	ga_s2bm_ard_3-2-1_51JTN_2023-06-14_final.stac-item
2023-06-14 11:34:42	ga_s2bm_ard_3-2-1_50JRT_2023-06-14_final.stac-item
2023-06-14 11:34:45	ga_s2bm_ard_3-2-1_51JWM_2023-06-14_final.stac-item
2023-06-14 11:34:51	ga_s2bm_ard_3-2-1_51JUM_2023-06-14_final.stac-item
2023-06-14 11:34:54	ga_s2bm_ard_3-2-1_50JRS_2023-06-14_final.stac-item
2023-06-14 11:34:54	ga_s2bm_ard_3-2-1_51JTM_2023-06-14_final.stac-item
2023-06-14 11:34:59	ga_s2bm_ard_3-2-1_51JWL_2023-06-14_final.stac-item
2023-06-14 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2023-06-14_final.stac-item
2023-06-14 11:35:09	ga_s2bm_ard_3-2-1_51JTL_2023-06-14_final.stac-item
2023-06-14 11:35:24	ga_s2bm_ard_3-2-1_51JTK_2023-06-14_final.stac-item
2023-06-14 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-06-14_final.stac-item
2023-06-14 11:35:35	ga_s2bm_ard_3-2-1_51JUJ_2023-06-14_final.stac-item
2023-06-14 11:35:38	ga_s2bm_ard_3-2-1_51JTJ_2023-06-14_final.stac-item
2023-06-14 11:35:50	ga_s2bm_ard_3-2-1_51JUH_2023-06-14_final.stac-item
2023-06-14 11:35:53	ga_s2bm_ard_3-2-1_51JTH_2023-06-14_final.stac-item
2023-06-14 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-06-14_final.stac-item
2023-06-14 11:36:04	ga_s2bm_ard_3-2-1_51JUG_2023-06-14_final.stac-item
2023-06-14 11:36:07	ga_s2bm_ard_3-2-1_51JTG_2023-06-14_final.stac-item
2023-06-14 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2023-06-14_final.stac-item
2023-06-14 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-06-14_final.stac-item
2023-06-14 11:36:22	ga_s2bm_ard_3-2-1_51JTF_2023-06-14_final.stac-item
2023-06-14 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2023-06-14_final.stac-item
2023-06-14 11:36:28	ga_s2bm_ard_3-2-1_51HVE_2023-06-14_final.stac-item
2023-06-14 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2023-06-14_final.stac-item
2023-06-14 11:36:33	ga_s2bm_ard_3-2-1_51HUE_2023-06-14_final.stac-item
2023-06-14 11:36:37	ga_s2bm_ard_3-2-1_51HTE_2023-06-14_final.stac-item
2023-06-14 11:36:38	ga_s2bm_ard_3-2-1_51HVD_2023-06-14_final.stac-item
2023-06-14 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-06-14_final.stac-item
2023-06-14 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2023-06-14_final.stac-item
2023-06-14 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-06-14_final.stac-item
2023-06-14 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-06-14_final.stac-item
2023-06-14 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-06-14_final.stac-item
2023-06-14 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2023-06-14_final.stac-item
2023-06-14 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2023-06-14_final.stac-item
2023-06-14 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2023-06-14_final.stac-item
2023-06-14 11:37:17	ga_s2bm_ard_3-2-1_51HUB_2023-06-14_final.stac-item
2023-06-14 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2023-06-14_final.stac-item
2023-06-14 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2023-06-14_final.stac-item
2023-06-14 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-06-14_final.stac-item
2023-06-14 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-06-14_final.stac-item
2023-06-15 09:28:06	ga_s2bm_ard_3-2-1_55GFR_2023-06-14_final.stac-item
2023-06-15 09:28:41	ga_s2bm_ard_3-2-1_55GEP_2023-06-14_final.stac-item
2023-06-15 09:28:42	ga_s2bm_ard_3-2-1_55GFN_2023-06-14_final.stac-item
2023-06-15 09:28:44	ga_s2bm_ard_3-2-1_55GEP_2023-06-14_final.stac-item
2023-06-15 09:28:50	ga_s2bm_ard_3-2-1_55GFN_2023-06-14_final.stac-item
2023-06-24 09:58:27	ga_s2bm_ard_3-2-1_54GXV_2023-06-24_nrt.stac-item
2023-06-24 11:30:25	ga_s2bm_ard_3-2-1_52LBP_2023-06-24_nrt.stac-item
2023-06-24 11:30:27	ga_s2bm_ard_3-2-1_51LZJ_2023-06-24_nrt.stac-item
2023-06-24 11:30:33	ga_s2bm_ard_3-2-1_51LXJ_2023-06-24_nrt.stac-item
2023-06-24 11:30:39	ga_s2bm_ard_3-2-1_52LBN_2023-06-24_nrt.stac-item
2023-06-24 11:30:42	ga_s2bm_ard_3-2-1_51LZH_2023-06-24_nrt.stac-item
2023-06-24 11:30:48	ga_s2bm_ard_3-2-1_51LXH_2023-06-24_nrt.stac-item
2023-06-24 11:30:56	ga_s2bm_ard_3-2-1_51LZG_2023-06-24_nrt.stac-item
2023-06-24 11:31:10	ga_s2bm_ard_3-2-1_51LZF_2023-06-24_nrt.stac-item
2023-06-24 11:31:49	ga_s2bm_ard_3-2-1_51LWD_2023-06-24_nrt.stac-item
2023-06-24 11:37:29	ga_s2bm_ard_3-2-1_51HUA_2023-06-24_nrt.stac-item
2023-06-24 11:37:32	ga_s2bm_ard_3-2-1_51HTA_2023-06-24_nrt.stac-item
2023-06-24 11:37:32	ga_s2bm_ard_3-2-1_50HQF_2023-06-24_nrt.stac-item
2023-06-24 11:37:34	ga_s2bm_ard_3-2-1_50HPF_2023-06-24_nrt.stac-item
2023-06-24 11:37:36	ga_s2bm_ard_3-2-1_50HNF_2023-06-24_nrt.stac-item
2023-06-25 09:28:31	ga_s2bm_ard_3-2-1_55GGP_2023-06-24_nrt.stac-item
2023-06-25 09:28:39	ga_s2bm_ard_3-2-1_55GGN_2023-06-24_nrt.stac-item
2023-06-25 09:28:40	ga_s2bm_ard_3-2-1_55GGP_2023-06-24_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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