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
2023-02-24 11:31:45	ga_s2bm_ard_3-2-1_51LWD_2023-02-24_nrt.stac-item
2023-02-24 11:32:00	ga_s2bm_ard_3-2-1_51LWC_2023-02-24_final.stac-item
2023-02-24 11:32:22	ga_s2bm_ard_3-2-1_51KYA_2023-02-24_final.stac-item
2023-02-24 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2023-02-24_final.stac-item
2023-02-24 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2023-02-24_final.stac-item
2023-02-24 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2023-02-24_final.stac-item
2023-02-24 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2023-02-24_final.stac-item
2023-02-24 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2023-02-24_final.stac-item
2023-02-24 11:35:19	ga_s2bm_ard_3-2-1_51JTK_2023-02-24_final.stac-item
2023-02-24 11:35:34	ga_s2bm_ard_3-2-1_51JTJ_2023-02-24_final.stac-item
2023-02-24 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2023-02-24_final.stac-item
2023-02-24 11:36:14	ga_s2bm_ard_3-2-1_51JUF_2023-02-24_final.stac-item
2023-02-24 11:36:17	ga_s2bm_ard_3-2-1_51JTF_2023-02-24_final.stac-item
2023-02-24 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2023-02-24_final.stac-item
2023-02-24 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2023-02-24_final.stac-item
2023-02-24 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2023-02-24_final.stac-item
2023-02-24 11:36:34	ga_s2bm_ard_3-2-1_51HVD_2023-02-24_final.stac-item
2023-02-24 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2023-02-24_final.stac-item
2023-02-24 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2023-02-24_final.stac-item
2023-02-24 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-02-24_final.stac-item
2023-02-24 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2023-02-24_final.stac-item
2023-02-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2023-02-24_final.stac-item
2023-02-24 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-02-24_final.stac-item
2023-02-24 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2023-02-24_final.stac-item
2023-02-24 11:37:26	ga_s2bm_ard_3-2-1_51HUA_2023-02-24_nrt.stac-item
2023-02-24 11:37:29	ga_s2bm_ard_3-2-1_51HTA_2023-02-24_nrt.stac-item
2023-02-24 11:37:29	ga_s2bm_ard_3-2-1_50HQF_2023-02-24_nrt.stac-item
2023-02-24 11:37:31	ga_s2bm_ard_3-2-1_50HPF_2023-02-24_nrt.stac-item
2023-02-24 11:37:33	ga_s2bm_ard_3-2-1_50HNF_2023-02-24_nrt.stac-item
2023-02-24 11:37:34	ga_s2bm_ard_3-2-1_51HUV_2023-02-24_nrt.stac-item
2023-02-24 11:37:34	ga_s2bm_ard_3-2-1_51HTV_2023-02-24_nrt.stac-item
2023-02-25 09:24:49	ga_s2bm_ard_3-2-1_56JPN_2023-02-24_nrt.stac-item
2023-02-25 09:25:18	ga_s2bm_ard_3-2-1_56JPL_2023-02-24_nrt.stac-item
2023-02-25 09:25:22	ga_s2bm_ard_3-2-1_56JNL_2023-02-24_final.stac-item
2023-02-25 09:25:25	ga_s2bm_ard_3-2-1_56JML_2023-02-24_final.stac-item
2023-02-25 09:25:30	ga_s2bm_ard_3-2-1_56JLL_2023-02-24_final.stac-item
2023-02-25 09:25:36	ga_s2bm_ard_3-2-1_56HNK_2023-02-24_nrt.stac-item
2023-02-25 09:25:40	ga_s2bm_ard_3-2-1_56HMK_2023-02-24_final.stac-item
2023-02-25 09:25:47	ga_s2bm_ard_3-2-1_56HPJ_2023-02-24_nrt.stac-item
2023-02-25 09:25:51	ga_s2bm_ard_3-2-1_56HNJ_2023-02-24_nrt.stac-item
2023-02-25 09:25:55	ga_s2bm_ard_3-2-1_56HMJ_2023-02-24_final.stac-item
2023-02-25 09:25:58	ga_s2bm_ard_3-2-1_56HLJ_2023-02-24_final.stac-item
2023-02-25 09:26:01	ga_s2bm_ard_3-2-1_56HPH_2023-02-24_nrt.stac-item
2023-02-25 09:26:12	ga_s2bm_ard_3-2-1_56HLH_2023-02-24_final.stac-item
2023-02-25 09:26:41	ga_s2bm_ard_3-2-1_56HLF_2023-02-24_nrt.stac-item
2023-02-25 09:26:45	ga_s2bm_ard_3-2-1_56HKF_2023-02-24_final.stac-item
2023-02-25 09:27:03	ga_s2bm_ard_3-2-1_56HND_2023-02-24_nrt.stac-item
2023-02-25 09:27:07	ga_s2bm_ard_3-2-1_56HMD_2023-02-24_nrt.stac-item
2023-02-25 09:27:11	ga_s2bm_ard_3-2-1_56HLD_2023-02-24_nrt.stac-item
2023-02-25 09:27:14	ga_s2bm_ard_3-2-1_56HKD_2023-02-24_nrt.stac-item
2023-02-25 09:27:15	ga_s2bm_ard_3-2-1_55HGU_2023-02-24_final.stac-item
2023-02-25 09:27:15	ga_s2bm_ard_3-2-1_56HNC_2023-02-24_nrt.stac-item
2023-02-25 09:27:21	ga_s2bm_ard_3-2-1_56HMC_2023-02-24_nrt.stac-item
2023-02-25 09:27:25	ga_s2bm_ard_3-2-1_56HLC_2023-02-24_nrt.stac-item
2023-02-25 09:27:28	ga_s2bm_ard_3-2-1_56HKC_2023-02-24_nrt.stac-item
2023-02-25 09:27:29	ga_s2bm_ard_3-2-1_55HGT_2023-02-24_nrt.stac-item
2023-02-25 09:27:36	ga_s2bm_ard_3-2-1_56HMB_2023-02-24_nrt.stac-item
2023-02-25 09:27:40	ga_s2bm_ard_3-2-1_56HLB_2023-02-24_nrt.stac-item
2023-02-25 09:27:43	ga_s2bm_ard_3-2-1_56HKB_2023-02-24_nrt.stac-item
2023-02-25 09:27:44	ga_s2bm_ard_3-2-1_55HGS_2023-02-24_nrt.stac-item
2023-02-25 09:27:49	ga_s2bm_ard_3-2-1_55HFS_2023-02-24_final.stac-item
2023-02-25 09:28:18	ga_s2bm_ard_3-2-1_56GMU_2023-02-24_nrt.stac-item
2023-02-25 09:28:23	ga_s2bm_ard_3-2-1_56GLU_2023-02-24_nrt.stac-item
2023-02-25 09:28:26	ga_s2bm_ard_3-2-1_55GGP_2023-02-24_nrt.stac-item
2023-02-25 09:28:26	ga_s2bm_ard_3-2-1_56GKU_2023-02-24_nrt.stac-item
2023-02-25 09:28:29	ga_s2bm_ard_3-2-1_56GMT_2023-02-24_nrt.stac-item
2023-02-25 09:28:29	ga_s2bm_ard_3-2-1_55GFP_2023-02-24_final.stac-item
2023-02-25 09:28:31	ga_s2bm_ard_3-2-1_56GMT_2023-02-24_nrt.stac-item
2023-02-25 09:28:32	ga_s2bm_ard_3-2-1_56GLT_2023-02-24_nrt.stac-item
2023-02-25 09:28:34	ga_s2bm_ard_3-2-1_55GGN_2023-02-24_nrt.stac-item
2023-02-25 09:28:34	ga_s2bm_ard_3-2-1_56GKU_2023-02-24_nrt.stac-item
2023-02-25 09:28:34	ga_s2bm_ard_3-2-1_55GGP_2023-02-24_nrt.stac-item
2023-02-25 09:28:36	ga_s2bm_ard_3-2-1_55GFP_2023-02-24_final.stac-item
2023-02-25 09:28:38	ga_s2bm_ard_3-2-1_55GEP_2023-02-24_final.stac-item
2023-02-25 09:28:39	ga_s2bm_ard_3-2-1_56GLT_2023-02-24_nrt.stac-item
2023-02-25 09:28:41	ga_s2bm_ard_3-2-1_55GGN_2023-02-24_nrt.stac-item
2023-02-25 09:28:45	ga_s2bm_ard_3-2-1_55GFN_2023-02-24_final.stac-item
2023-02-25 09:28:49	ga_s2bm_ard_3-2-1_55GEN_2023-02-24_final.stac-item
2023-02-25 09:28:52	ga_s2bm_ard_3-2-1_56GLS_2023-02-24_nrt.stac-item
2023-02-25 09:28:55	ga_s2bm_ard_3-2-1_55GGM_2023-02-24_nrt.stac-item
2023-02-25 09:28:59	ga_s2bm_ard_3-2-1_55GFM_2023-02-24_nrt.stac-item
2023-02-25 09:29:01	ga_s2bm_ard_3-2-1_55GEM_2023-02-24_final.stac-item
2023-02-25 11:01:40	ga_s2bm_ard_3-2-1_52LFJ_2023-02-25_final.stac-item
2023-02-25 11:02:11	ga_s2bm_ard_3-2-1_53KKA_2023-02-25_final.stac-item
2023-02-25 11:02:12	ga_s2bm_ard_3-2-1_52KHF_2023-02-25_final.stac-item
2023-02-25 11:02:16	ga_s2bm_ard_3-2-1_52KGF_2023-02-25_final.stac-item
2023-02-25 11:02:36	ga_s2bm_ard_3-2-1_52KGE_2023-02-25_final.stac-item
2023-02-25 11:03:20	ga_s2bm_ard_3-2-1_52KEB_2023-02-25_final.stac-item
2023-02-25 11:03:42	ga_s2bm_ard_3-2-1_52KGV_2023-02-25_final.stac-item
2023-02-25 11:04:33	ga_s2bm_ard_3-2-1_52JES_2023-02-25_final.stac-item
2023-02-25 11:04:36	ga_s2bm_ard_3-2-1_52JDS_2023-02-25_final.stac-item
2023-02-25 11:05:27	ga_s2bm_ard_3-2-1_52JFN_2023-02-25_final.stac-item
2023-02-25 11:05:38	ga_s2bm_ard_3-2-1_52JCN_2023-02-25_final.stac-item
2023-02-25 11:06:07	ga_s2bm_ard_3-2-1_52JCL_2023-02-25_final.stac-item
2023-02-25 11:06:10	ga_s2bm_ard_3-2-1_52JBL_2023-02-25_final.stac-item
2023-02-25 11:06:14	ga_s2bm_ard_3-2-1_52HEK_2023-02-25_nrt.stac-item
2023-02-25 11:06:18	ga_s2bm_ard_3-2-1_52HDK_2023-02-25_final.stac-item
2023-02-25 11:06:29	ga_s2bm_ard_3-2-1_52HEJ_2023-02-25_nrt.stac-item
2023-02-25 11:06:32	ga_s2bm_ard_3-2-1_52HDJ_2023-02-25_nrt.stac-item
2023-02-25 11:06:37	ga_s2bm_ard_3-2-1_52HEH_2023-02-25_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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