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
2023-01-23 10:50:25	ga_s2bm_ard_3-2-1_53LMH_2023-01-23_final.stac-item
2023-01-23 10:50:26	ga_s2bm_ard_3-2-1_53LQG_2023-01-23_final.stac-item
2023-01-23 10:50:33	ga_s2bm_ard_3-2-1_53LPG_2023-01-23_final.stac-item
2023-01-23 10:50:46	ga_s2bm_ard_3-2-1_53LLG_2023-01-23_final.stac-item
2023-01-23 10:51:02	ga_s2bm_ard_3-2-1_53LPE_2023-01-23_final.stac-item
2023-01-23 10:51:05	ga_s2bm_ard_3-2-1_53LNE_2023-01-23_final.stac-item
2023-01-23 10:51:09	ga_s2bm_ard_3-2-1_53LME_2023-01-23_final.stac-item
2023-01-23 10:51:11	ga_s2bm_ard_3-2-1_53LLE_2023-01-23_final.stac-item
2023-01-23 10:51:39	ga_s2bm_ard_3-2-1_53KPB_2023-01-23_final.stac-item
2023-01-23 10:51:52	ga_s2bm_ard_3-2-1_53KMB_2023-01-23_final.stac-item
2023-01-23 10:51:55	ga_s2bm_ard_3-2-1_53KLB_2023-01-23_final.stac-item
2023-01-23 10:52:00	ga_s2bm_ard_3-2-1_53KKB_2023-01-23_final.stac-item
2023-01-23 10:52:13	ga_s2bm_ard_3-2-1_53KKA_2023-01-23_final.stac-item
2023-01-23 10:52:27	ga_s2bm_ard_3-2-1_53KKV_2023-01-23_final.stac-item
2023-01-23 10:53:11	ga_s2bm_ard_3-2-1_53KKS_2023-01-23_final.stac-item
2023-01-23 10:53:23	ga_s2bm_ard_3-2-1_53KLR_2023-01-23_final.stac-item
2023-01-23 10:53:26	ga_s2bm_ard_3-2-1_53KKR_2023-01-23_final.stac-item
2023-01-23 10:53:30	ga_s2bm_ard_3-2-1_52KGA_2023-01-23_final.stac-item
2023-01-23 10:53:34	ga_s2bm_ard_3-2-1_53KMQ_2023-01-23_final.stac-item
2023-01-23 10:53:37	ga_s2bm_ard_3-2-1_53KLQ_2023-01-23_final.stac-item
2023-01-23 10:53:40	ga_s2bm_ard_3-2-1_52KGV_2023-01-23_final.stac-item
2023-01-23 10:53:42	ga_s2bm_ard_3-2-1_53KMQ_2023-01-23_final.stac-item
2023-01-23 10:53:45	ga_s2bm_ard_3-2-1_53KKQ_2023-01-23_final.stac-item
2023-01-23 10:53:47	ga_s2bm_ard_3-2-1_52KGV_2023-01-23_final.stac-item
2023-01-23 10:53:52	ga_s2bm_ard_3-2-1_53KLP_2023-01-23_final.stac-item
2023-01-23 10:53:59	ga_s2bm_ard_3-2-1_52KGU_2023-01-23_final.stac-item
2023-01-23 10:54:28	ga_s2bm_ard_3-2-1_52JGS_2023-01-23_final.stac-item
2023-01-23 10:54:36	ga_s2bm_ard_3-2-1_53JLL_2023-01-23_final.stac-item
2023-01-23 10:54:39	ga_s2bm_ard_3-2-1_53JKL_2023-01-23_final.stac-item
2023-01-23 10:54:42	ga_s2bm_ard_3-2-1_52JGR_2023-01-23_final.stac-item
2023-01-23 10:54:45	ga_s2bm_ard_3-2-1_52JFR_2023-01-23_final.stac-item
2023-01-23 10:55:13	ga_s2bm_ard_3-2-1_53JLH_2023-01-23_final.stac-item
2023-01-23 10:55:15	ga_s2bm_ard_3-2-1_52JFP_2023-01-23_final.stac-item
2023-01-23 10:55:20	ga_s2bm_ard_3-2-1_52JEP_2023-01-23_final.stac-item
2023-01-23 10:55:22	ga_s2bm_ard_3-2-1_53JKH_2023-01-23_final.stac-item
2023-01-23 10:55:25	ga_s2bm_ard_3-2-1_52JGN_2023-01-23_final.stac-item
2023-01-23 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2023-01-23_final.stac-item
2023-01-23 10:55:47	ga_s2bm_ard_3-2-1_52JEM_2023-01-23_final.stac-item
2023-01-24 10:19:21	ga_s2bm_ard_3-2-1_54LZR_2023-01-24_final.stac-item
2023-01-24 10:19:36	ga_s2bm_ard_3-2-1_54LZQ_2023-01-24_final.stac-item
2023-01-24 10:19:39	ga_s2bm_ard_3-2-1_54LYQ_2023-01-24_final.stac-item
2023-01-24 10:19:42	ga_s2bm_ard_3-2-1_54LXQ_2023-01-24_final.stac-item
2023-01-24 10:19:48	ga_s2bm_ard_3-2-1_55LBJ_2023-01-24_nrt.stac-item
2023-01-24 10:19:50	ga_s2bm_ard_3-2-1_54LZP_2023-01-24_final.stac-item
2023-01-24 10:19:54	ga_s2bm_ard_3-2-1_54LYP_2023-01-24_final.stac-item
2023-01-24 10:19:57	ga_s2bm_ard_3-2-1_54LXP_2023-01-24_final.stac-item
2023-01-24 10:20:11	ga_s2bm_ard_3-2-1_54LXN_2023-01-24_final.stac-item
2023-01-24 10:20:16	ga_s2bm_ard_3-2-1_54LWN_2023-01-24_final.stac-item
2023-01-24 10:20:16	ga_s2bm_ard_3-2-1_55LBG_2023-01-24_nrt.stac-item
2023-01-24 10:20:19	ga_s2bm_ard_3-2-1_54LZM_2023-01-24_final.stac-item
2023-01-24 10:20:23	ga_s2bm_ard_3-2-1_54LYM_2023-01-24_final.stac-item
2023-01-24 10:20:26	ga_s2bm_ard_3-2-1_54LXM_2023-01-24_final.stac-item
2023-01-24 10:20:55	ga_s2bm_ard_3-2-1_54LXK_2023-01-24_final.stac-item
2023-01-24 10:20:58	ga_s2bm_ard_3-2-1_54LWK_2023-01-24_final.stac-item
2023-01-24 10:21:42	ga_s2bm_ard_3-2-1_54KWG_2023-01-24_final.stac-item
2023-01-24 10:21:45	ga_s2bm_ard_3-2-1_54KVG_2023-01-24_final.stac-item
2023-01-24 10:21:49	ga_s2bm_ard_3-2-1_54KYF_2023-01-24_final.stac-item
2023-01-24 10:22:02	ga_s2bm_ard_3-2-1_54KYE_2023-01-24_final.stac-item
2023-01-24 10:22:36	ga_s2bm_ard_3-2-1_54KXC_2023-01-24_final.stac-item
2023-01-24 10:23:04	ga_s2bm_ard_3-2-1_54KXA_2023-01-24_final.stac-item
2023-01-24 10:23:09	ga_s2bm_ard_3-2-1_54KWA_2023-01-24_final.stac-item
2023-01-24 10:23:12	ga_s2bm_ard_3-2-1_54KVA_2023-01-24_final.stac-item
2023-01-24 10:23:15	ga_s2bm_ard_3-2-1_54KXV_2023-01-24_final.stac-item
2023-01-24 10:23:16	ga_s2bm_ard_3-2-1_54KUA_2023-01-24_final.stac-item
2023-01-24 10:23:23	ga_s2bm_ard_3-2-1_54KWV_2023-01-24_final.stac-item
2023-01-24 10:23:30	ga_s2bm_ard_3-2-1_54KUV_2023-01-24_final.stac-item
2023-01-24 10:23:35	ga_s2bm_ard_3-2-1_54KTV_2023-01-24_final.stac-item
2023-01-24 10:23:45	ga_s2bm_ard_3-2-1_54KUU_2023-01-24_final.stac-item
2023-01-24 10:23:48	ga_s2bm_ard_3-2-1_54KTU_2023-01-24_final.stac-item
2023-01-24 10:24:07	ga_s2bm_ard_3-2-1_54JWS_2023-01-24_final.stac-item
2023-01-24 10:24:11	ga_s2bm_ard_3-2-1_54JVS_2023-01-24_final.stac-item
2023-01-24 10:24:17	ga_s2bm_ard_3-2-1_54JTS_2023-01-24_final.stac-item
2023-01-24 10:24:19	ga_s2bm_ard_3-2-1_54JWR_2023-01-24_final.stac-item
2023-01-24 10:24:25	ga_s2bm_ard_3-2-1_54JVR_2023-01-24_final.stac-item
2023-01-24 10:24:28	ga_s2bm_ard_3-2-1_54JUR_2023-01-24_final.stac-item
2023-01-24 10:24:29	ga_s2bm_ard_3-2-1_54JWQ_2023-01-24_final.stac-item
2023-01-24 10:24:32	ga_s2bm_ard_3-2-1_54JTR_2023-01-24_final.stac-item
2023-01-24 10:24:38	ga_s2bm_ard_3-2-1_53JQL_2023-01-24_final.stac-item
2023-01-24 10:24:39	ga_s2bm_ard_3-2-1_54JVQ_2023-01-24_final.stac-item
2023-01-24 10:24:43	ga_s2bm_ard_3-2-1_54JUQ_2023-01-24_final.stac-item
2023-01-24 10:24:54	ga_s2bm_ard_3-2-1_54JVP_2023-01-24_final.stac-item
2023-01-24 10:24:57	ga_s2bm_ard_3-2-1_54JUP_2023-01-24_final.stac-item
2023-01-24 10:25:12	ga_s2bm_ard_3-2-1_54JUN_2023-01-24_final.stac-item
2023-01-24 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2023-01-24_final.stac-item
2023-01-24 10:25:18	ga_s2bm_ard_3-2-1_53JQH_2023-01-24_final.stac-item
2023-01-24 10:25:22	ga_s2bm_ard_3-2-1_54JVM_2023-01-24_final.stac-item
2023-01-24 10:25:34	ga_s2bm_ard_3-2-1_53JPG_2023-01-24_final.stac-item
2023-01-24 10:25:34	ga_s2bm_ard_3-2-1_54JUM_2023-01-24_final.stac-item
2023-01-24 10:25:35	ga_s2bm_ard_3-2-1_54JTM_2023-01-24_final.stac-item
2023-01-24 10:25:39	ga_s2bm_ard_3-2-1_53JPG_2023-01-24_final.stac-item
2023-01-24 10:26:25	ga_s2bm_ard_3-2-1_54HUH_2023-01-24_final.stac-item
2023-01-24 10:26:28	ga_s2bm_ard_3-2-1_54HTH_2023-01-24_final.stac-item
2023-01-24 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2023-01-24_final.stac-item
2023-01-24 10:26:34	ga_s2bm_ard_3-2-1_53HPC_2023-01-24_final.stac-item
2023-01-24 10:26:43	ga_s2bm_ard_3-2-1_54HTG_2023-01-24_final.stac-item
2023-01-24 10:26:45	ga_s2bm_ard_3-2-1_53HQB_2023-01-24_final.stac-item
2023-01-24 10:27:07	ga_s2bm_ard_3-2-1_53HNA_2023-01-24_nrt.stac-item
2023-01-24 10:27:10	ga_s2bm_ard_3-2-1_54HTE_2023-01-24_final.stac-item
2023-01-24 10:27:11	ga_s2bm_ard_3-2-1_53HQV_2023-01-24_final.stac-item
2023-01-24 10:27:13	ga_s2bm_ard_3-2-1_53HPV_2023-01-24_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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