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
2023-08-08 10:41:43	ga_s2bm_ard_3-2-1_53LPC_2023-08-08_final.stac-item
2023-08-08 10:41:50	ga_s2bm_ard_3-2-1_53KRB_2023-08-08_final.stac-item
2023-08-08 10:41:54	ga_s2bm_ard_3-2-1_53KQB_2023-08-08_final.stac-item
2023-08-08 10:42:05	ga_s2bm_ard_3-2-1_53KRA_2023-08-08_final.stac-item
2023-08-08 10:42:09	ga_s2bm_ard_3-2-1_53KQA_2023-08-08_final.stac-item
2023-08-08 10:42:17	ga_s2bm_ard_3-2-1_53KRV_2023-08-08_final.stac-item
2023-08-08 10:42:27	ga_s2bm_ard_3-2-1_53KRU_2023-08-08_final.stac-item
2023-08-08 10:42:30	ga_s2bm_ard_3-2-1_53KNV_2023-08-08_final.stac-item
2023-08-08 10:42:44	ga_s2bm_ard_3-2-1_53KNU_2023-08-08_final.stac-item
2023-08-08 10:42:49	ga_s2bm_ard_3-2-1_53KMU_2023-08-08_final.stac-item
2023-08-08 10:42:52	ga_s2bm_ard_3-2-1_53KQT_2023-08-08_final.stac-item
2023-08-08 10:43:00	ga_s2bm_ard_3-2-1_53KQS_2023-08-08_final.stac-item
2023-08-08 10:43:01	ga_s2bm_ard_3-2-1_53KPS_2023-08-08_final.stac-item
2023-09-01 12:05:13	ga_s2bm_ard_3-2-1_49JFM_2023-09-01_final.stac-item
2023-09-02 11:31:25	ga_s2bm_ard_3-2-1_51LZE_2023-09-02_final.stac-item
2023-09-02 11:31:35	ga_s2bm_ard_3-2-1_51LWE_2023-09-02_final.stac-item
2023-09-02 11:31:40	ga_s2bm_ard_3-2-1_51LZD_2023-09-02_final.stac-item
2023-09-02 11:31:58	ga_s2bm_ard_3-2-1_51LYC_2023-09-02_final.stac-item
2023-09-02 11:32:16	ga_s2bm_ard_3-2-1_51KXB_2023-09-02_final.stac-item
2023-09-02 11:32:27	ga_s2bm_ard_3-2-1_51KYA_2023-09-02_final.stac-item
2023-09-02 11:32:30	ga_s2bm_ard_3-2-1_51KXA_2023-09-02_final.stac-item
2023-09-02 11:32:41	ga_s2bm_ard_3-2-1_51KYV_2023-09-02_final.stac-item
2023-09-02 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2023-09-02_final.stac-item
2023-09-02 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2023-09-02_final.stac-item
2023-09-02 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-09-02_final.stac-item
2023-09-02 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2023-09-02_final.stac-item
2023-09-02 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-09-02_final.stac-item
2023-09-02 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2023-09-02_final.stac-item
2023-09-02 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2023-09-02_final.stac-item
2023-09-02 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-09-02_final.stac-item
2023-09-02 11:33:53	ga_s2bm_ard_3-2-1_51KUR_2023-09-02_final.stac-item
2023-09-02 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2023-09-02_final.stac-item
2023-09-02 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-09-02_final.stac-item
2023-09-02 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2023-09-02_final.stac-item
2023-09-02 11:34:19	ga_s2bm_ard_3-2-1_51KVP_2023-09-02_final.stac-item
2023-09-02 11:34:37	ga_s2bm_ard_3-2-1_51JUN_2023-09-02_final.stac-item
2023-09-02 11:34:41	ga_s2bm_ard_3-2-1_51JTN_2023-09-02_final.stac-item
2023-09-02 11:34:41	ga_s2bm_ard_3-2-1_50JRT_2023-09-02_final.stac-item
2023-09-02 11:34:44	ga_s2bm_ard_3-2-1_51JWM_2023-09-02_final.stac-item
2023-09-02 11:34:54	ga_s2bm_ard_3-2-1_50JRS_2023-09-02_final.stac-item
2023-09-02 11:34:54	ga_s2bm_ard_3-2-1_51JTM_2023-09-02_final.stac-item
2023-09-02 11:34:59	ga_s2bm_ard_3-2-1_51JWL_2023-09-02_final.stac-item
2023-09-02 11:35:17	ga_s2bm_ard_3-2-1_51JVK_2023-09-02_final.stac-item
2023-09-02 11:35:20	ga_s2bm_ard_3-2-1_51JUK_2023-09-02_final.stac-item
2023-09-02 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-09-02_final.stac-item
2023-09-02 11:35:35	ga_s2bm_ard_3-2-1_51JUJ_2023-09-02_final.stac-item
2023-09-02 11:35:38	ga_s2bm_ard_3-2-1_51JTJ_2023-09-02_final.stac-item
2023-09-02 11:35:42	ga_s2bm_ard_3-2-1_50JQP_2023-09-02_final.stac-item
2023-09-02 11:35:49	ga_s2bm_ard_3-2-1_51JUH_2023-09-02_final.stac-item
2023-09-02 11:35:53	ga_s2bm_ard_3-2-1_51JTH_2023-09-02_final.stac-item
2023-09-02 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-09-02_final.stac-item
2023-09-02 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2023-09-02_final.stac-item
2023-09-02 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-09-02_final.stac-item
2023-09-02 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2023-09-02_final.stac-item
2023-09-02 11:36:23	ga_s2bm_ard_3-2-1_51JVF_2023-09-02_final.stac-item
2023-09-02 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2023-09-02_final.stac-item
2023-09-02 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2023-09-02_final.stac-item
2023-09-02 11:36:28	ga_s2bm_ard_3-2-1_51HVE_2023-09-02_final.stac-item
2023-09-02 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2023-09-02_final.stac-item
2023-09-02 11:36:38	ga_s2bm_ard_3-2-1_51HVD_2023-09-02_final.stac-item
2023-09-02 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-09-02_final.stac-item
2023-09-02 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-09-02_final.stac-item
2023-09-02 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2023-09-02_final.stac-item
2023-09-02 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-09-02_final.stac-item
2023-09-02 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-09-02_final.stac-item
2023-09-02 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-09-02_final.stac-item
2023-09-02 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2023-09-02_final.stac-item
2023-09-02 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-09-02_final.stac-item
2023-09-02 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-09-02_final.stac-item
2023-09-02 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2023-09-02_final.stac-item
2023-09-02 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2023-09-02_final.stac-item
2023-09-02 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-09-02_final.stac-item
2023-09-02 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-09-02_final.stac-item
2023-09-11 12:00:41	ga_s2bm_ard_3-2-1_50LPP_2023-09-11_nrt.stac-item
2023-09-11 12:00:55	ga_s2bm_ard_3-2-1_50LPN_2023-09-11_nrt.stac-item
2023-09-11 12:01:06	ga_s2bm_ard_3-2-1_50LQM_2023-09-11_nrt.stac-item
2023-09-11 12:01:09	ga_s2bm_ard_3-2-1_50LPM_2023-09-11_nrt.stac-item
2023-09-11 12:01:24	ga_s2bm_ard_3-2-1_50LPL_2023-09-11_nrt.stac-item
2023-09-11 12:01:40	ga_s2bm_ard_3-2-1_50LMK_2023-09-11_nrt.stac-item
2023-09-11 12:02:59	ga_s2bm_ard_3-2-1_50KNE_2023-09-11_nrt.stac-item
2023-09-11 12:03:00	ga_s2bm_ard_3-2-1_50KME_2023-09-11_nrt.stac-item
2023-09-11 12:03:02	ga_s2bm_ard_3-2-1_50KLE_2023-09-11_nrt.stac-item
2023-09-11 12:03:05	ga_s2bm_ard_3-2-1_50KKE_2023-09-11_nrt.stac-item
2023-09-11 12:03:09	ga_s2bm_ard_3-2-1_50KND_2023-09-11_nrt.stac-item
2023-09-11 12:03:12	ga_s2bm_ard_3-2-1_50KMD_2023-09-11_nrt.stac-item
2023-09-11 12:03:16	ga_s2bm_ard_3-2-1_50KLD_2023-09-11_nrt.stac-item
2023-09-11 12:03:18	ga_s2bm_ard_3-2-1_50KKD_2023-09-11_nrt.stac-item
2023-09-11 12:03:21	ga_s2bm_ard_3-2-1_49KHU_2023-09-11_nrt.stac-item
2023-09-11 12:03:33	ga_s2bm_ard_3-2-1_50KKC_2023-09-11_nrt.stac-item
2023-09-11 12:03:34	ga_s2bm_ard_3-2-1_49KHT_2023-09-11_nrt.stac-item
2023-09-11 12:05:26	ga_s2bm_ard_3-2-1_49JFL_2023-09-11_nrt.stac-item
2023-09-11 12:05:36	ga_s2bm_ard_3-2-1_49JFK_2023-09-11_nrt.stac-item
2023-09-11 12:05:51	ga_s2bm_ard_3-2-1_49JFJ_2023-09-11_nrt.stac-item
2023-09-11 12:06:06	ga_s2bm_ard_3-2-1_49JFH_2023-09-11_nrt.stac-item
2023-09-11 12:06:16	ga_s2bm_ard_3-2-1_49JGG_2023-09-11_nrt.stac-item
2023-09-11 12:06:20	ga_s2bm_ard_3-2-1_49JFG_2023-09-11_nrt.stac-item
2023-09-11 12:06:25	ga_s2bm_ard_3-2-1_50JKL_2023-09-11_nrt.stac-item
2023-09-11 12:06:27	ga_s2bm_ard_3-2-1_49JGF_2023-09-11_nrt.stac-item
2023-09-11 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-09-11_nrt.stac-item
2023-09-12 11:37:33	ga_s2bm_ard_3-2-1_50HPF_2023-09-12_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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