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
2023-09-02 09:51:53	ga_s2bm_ard_3-2-1_55KFA_2023-09-02_final.stac-item
2023-09-02 09:53:20	ga_s2bm_ard_3-2-1_55KFQ_2023-09-02_final.stac-item
2023-09-02 09:53:48	ga_s2bm_ard_3-2-1_55JFN_2023-09-02_final.stac-item
2023-09-02 09:54:24	ga_s2bm_ard_3-2-1_55JDL_2023-09-02_final.stac-item
2023-09-02 09:56:35	ga_s2bm_ard_3-2-1_55HDB_2023-09-02_final.stac-item
2023-09-02 09:58:28	ga_s2bm_ard_3-2-1_55GCP_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 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2023-09-02_final.stac-item
2023-09-02 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2023-09-02_final.stac-item
2023-09-02 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2023-09-02_final.stac-item
2023-09-02 11:33:35	ga_s2bm_ard_3-2-1_51KVS_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 11:34:51	ga_s2bm_ard_3-2-1_51JUM_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 11:35:49	ga_s2bm_ard_3-2-1_51JUH_2023-09-02_final.stac-item
2023-09-02 11:36:04	ga_s2bm_ard_3-2-1_51JUG_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
2023-09-03 09:27:06	ga_s2bm_ard_3-2-1_55HGV_2023-09-02_final.stac-item
2023-09-03 09:28:21	ga_s2bm_ard_3-2-1_55GFQ_2023-09-02_final.stac-item
2023-09-03 11:00:27	ga_s2bm_ard_3-2-1_53LMH_2023-09-03_final.stac-item
2023-09-03 11:00:30	ga_s2bm_ard_3-2-1_53LLH_2023-09-03_final.stac-item
2023-09-03 11:00:33	ga_s2bm_ard_3-2-1_53LKH_2023-09-03_final.stac-item
2023-09-03 11:00:41	ga_s2bm_ard_3-2-1_53LMG_2023-09-03_final.stac-item
2023-09-03 11:00:48	ga_s2bm_ard_3-2-1_53LKG_2023-09-03_final.stac-item
2023-09-03 11:01:03	ga_s2bm_ard_3-2-1_53LKF_2023-09-03_final.stac-item
2023-09-03 11:01:22	ga_s2bm_ard_3-2-1_52LGK_2023-09-03_final.stac-item
2023-09-03 11:01:28	ga_s2bm_ard_3-2-1_53LLD_2023-09-03_final.stac-item
2023-09-03 11:01:33	ga_s2bm_ard_3-2-1_52LHJ_2023-09-03_final.stac-item
2023-09-03 11:01:36	ga_s2bm_ard_3-2-1_52LGJ_2023-09-03_final.stac-item
2023-09-03 11:01:55	ga_s2bm_ard_3-2-1_52LFH_2023-09-03_final.stac-item
2023-09-03 11:01:56	ga_s2bm_ard_3-2-1_53KLB_2023-09-03_final.stac-item
2023-09-03 11:02:02	ga_s2bm_ard_3-2-1_52KHG_2023-09-03_final.stac-item
2023-09-03 11:02:08	ga_s2bm_ard_3-2-1_53KLA_2023-09-03_final.stac-item
2023-09-03 11:02:15	ga_s2bm_ard_3-2-1_53KKA_2023-09-03_final.stac-item
2023-09-03 11:02:23	ga_s2bm_ard_3-2-1_52KFF_2023-09-03_final.stac-item
2023-09-03 11:02:45	ga_s2bm_ard_3-2-1_52KHD_2023-09-03_final.stac-item
2023-09-03 11:02:49	ga_s2bm_ard_3-2-1_52KGD_2023-09-03_final.stac-item
2023-09-03 11:02:59	ga_s2bm_ard_3-2-1_53KKT_2023-09-03_final.stac-item
2023-09-03 11:02:59	ga_s2bm_ard_3-2-1_52KHC_2023-09-03_final.stac-item
2023-09-03 11:03:03	ga_s2bm_ard_3-2-1_52KGC_2023-09-03_final.stac-item
2023-09-03 11:03:10	ga_s2bm_ard_3-2-1_52KEC_2023-09-03_final.stac-item
2023-09-03 11:03:12	ga_s2bm_ard_3-2-1_53KKS_2023-09-03_final.stac-item
2023-09-03 11:03:18	ga_s2bm_ard_3-2-1_52KGB_2023-09-03_final.stac-item
2023-09-03 11:03:21	ga_s2bm_ard_3-2-1_52KFB_2023-09-03_final.stac-item
2023-09-03 11:03:36	ga_s2bm_ard_3-2-1_52KFA_2023-09-03_final.stac-item
2023-09-03 11:03:38	ga_s2bm_ard_3-2-1_52KHV_2023-09-03_final.stac-item
2023-09-03 11:03:46	ga_s2bm_ard_3-2-1_52KGV_2023-09-03_final.stac-item
2023-09-03 11:04:01	ga_s2bm_ard_3-2-1_52KGU_2023-09-03_final.stac-item
2023-09-03 11:04:11	ga_s2bm_ard_3-2-1_52KDU_2023-09-03_final.stac-item
2023-09-03 11:04:23	ga_s2bm_ard_3-2-1_52JET_2023-09-03_final.stac-item
2023-09-03 11:04:29	ga_s2bm_ard_3-2-1_52JGS_2023-09-03_final.stac-item
2023-09-03 11:04:37	ga_s2bm_ard_3-2-1_52JES_2023-09-03_final.stac-item
2023-09-03 11:04:41	ga_s2bm_ard_3-2-1_52JDS_2023-09-03_final.stac-item
2023-09-03 11:04:55	ga_s2bm_ard_3-2-1_52JDR_2023-09-03_final.stac-item
2023-09-03 11:05:12	ga_s2bm_ard_3-2-1_52JCQ_2023-09-03_final.stac-item
2023-09-03 11:05:13	ga_s2bm_ard_3-2-1_52JFP_2023-09-03_final.stac-item
2023-09-03 11:05:17	ga_s2bm_ard_3-2-1_52JCQ_2023-09-03_final.stac-item
2023-09-03 11:05:20	ga_s2bm_ard_3-2-1_52JFP_2023-09-03_final.stac-item
2023-09-03 11:05:27	ga_s2bm_ard_3-2-1_52JCP_2023-09-03_final.stac-item
2023-09-03 11:05:31	ga_s2bm_ard_3-2-1_52JFN_2023-09-03_final.stac-item
2023-09-03 11:05:35	ga_s2bm_ard_3-2-1_52JEN_2023-09-03_final.stac-item
2023-09-03 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2023-09-03_final.stac-item
2023-09-03 11:05:53	ga_s2bm_ard_3-2-1_52JDM_2023-09-03_final.stac-item
2023-09-03 11:06:08	ga_s2bm_ard_3-2-1_52JDL_2023-09-03_final.stac-item
2023-09-03 11:06:11	ga_s2bm_ard_3-2-1_52JCL_2023-09-03_final.stac-item
2023-09-12 11:30:24	ga_s2bm_ard_3-2-1_52LBP_2023-09-12_nrt.stac-item
2023-09-12 11:30:33	ga_s2bm_ard_3-2-1_51LXJ_2023-09-12_nrt.stac-item
2023-09-12 11:30:39	ga_s2bm_ard_3-2-1_52LBN_2023-09-12_nrt.stac-item
2023-09-12 11:30:44	ga_s2bm_ard_3-2-1_51LYH_2023-09-12_nrt.stac-item
2023-09-12 11:30:47	ga_s2bm_ard_3-2-1_51LXH_2023-09-12_nrt.stac-item
2023-09-12 11:30:59	ga_s2bm_ard_3-2-1_51LYG_2023-09-12_nrt.stac-item
2023-09-12 11:31:02	ga_s2bm_ard_3-2-1_51LXG_2023-09-12_nrt.stac-item
2023-09-12 11:31:13	ga_s2bm_ard_3-2-1_51LYF_2023-09-12_nrt.stac-item
2023-09-12 11:31:17	ga_s2bm_ard_3-2-1_51LXF_2023-09-12_nrt.stac-item
2023-09-12 11:31:21	ga_s2bm_ard_3-2-1_51LWF_2023-09-12_nrt.stac-item
2023-09-12 11:31:31	ga_s2bm_ard_3-2-1_51LXE_2023-09-12_nrt.stac-item
2023-09-12 11:31:49	ga_s2bm_ard_3-2-1_51LWD_2023-09-12_nrt.stac-item
2023-09-12 11:37:31	ga_s2bm_ard_3-2-1_51HTA_2023-09-12_nrt.stac-item
2023-09-12 11:37:32	ga_s2bm_ard_3-2-1_50HQF_2023-09-12_nrt.stac-item
2023-09-13 09:26:44	ga_s2bm_ard_3-2-1_56HLF_2023-09-12_nrt.stac-item
2023-09-13 09:26:52	ga_s2bm_ard_3-2-1_56HNE_2023-09-12_nrt.stac-item
2023-09-13 09:26:55	ga_s2bm_ard_3-2-1_56HME_2023-09-12_nrt.stac-item
2023-09-13 09:27:06	ga_s2bm_ard_3-2-1_56HND_2023-09-12_nrt.stac-item
2023-09-13 09:27:10	ga_s2bm_ard_3-2-1_56HMD_2023-09-12_nrt.stac-item
2023-09-13 09:27:18	ga_s2bm_ard_3-2-1_56HNC_2023-09-12_nrt.stac-item
2023-09-13 09:27:24	ga_s2bm_ard_3-2-1_56HMC_2023-09-12_nrt.stac-item
2023-09-13 09:27:31	ga_s2bm_ard_3-2-1_56HKC_2023-09-12_nrt.stac-item
2023-09-13 09:27:39	ga_s2bm_ard_3-2-1_56HMB_2023-09-12_nrt.stac-item
2023-09-13 09:27:54	ga_s2bm_ard_3-2-1_56GMA_2023-09-12_nrt.stac-item
2023-09-13 09:27:57	ga_s2bm_ard_3-2-1_56GLA_2023-09-12_nrt.stac-item
2023-09-13 09:28:01	ga_s2bm_ard_3-2-1_55GGR_2023-09-12_nrt.stac-item
2023-09-13 09:28:08	ga_s2bm_ard_3-2-1_56GMV_2023-09-12_nrt.stac-item
2023-09-13 09:28:12	ga_s2bm_ard_3-2-1_56GLV_2023-09-12_nrt.stac-item
2023-09-13 09:28:15	ga_s2bm_ard_3-2-1_56GKV_2023-09-12_nrt.stac-item
2023-09-13 09:28:15	ga_s2bm_ard_3-2-1_55GGQ_2023-09-12_nrt.stac-item
2023-09-13 09:28:21	ga_s2bm_ard_3-2-1_56GMU_2023-09-12_nrt.stac-item
2023-09-13 09:28:26	ga_s2bm_ard_3-2-1_56GLU_2023-09-12_nrt.stac-item
2023-09-13 09:28:32	ga_s2bm_ard_3-2-1_56GMT_2023-09-12_nrt.stac-item
2023-09-13 09:28:41	ga_s2bm_ard_3-2-1_56GLT_2023-09-12_nrt.stac-item
2023-09-13 09:28:55	ga_s2bm_ard_3-2-1_56GLS_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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