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
2023-08-03 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2023-08-03_final.stac-item
2023-08-03 11:35:09	ga_s2bm_ard_3-2-1_51JTL_2023-08-03_final.stac-item
2023-08-03 11:35:23	ga_s2bm_ard_3-2-1_51JTK_2023-08-03_final.stac-item
2023-08-03 11:35:24	ga_s2bm_ard_3-2-1_51JWJ_2023-08-03_final.stac-item
2023-08-03 11:35:35	ga_s2bm_ard_3-2-1_51JUJ_2023-08-03_final.stac-item
2023-08-03 11:35:38	ga_s2bm_ard_3-2-1_51JTJ_2023-08-03_final.stac-item
2023-08-03 11:35:42	ga_s2bm_ard_3-2-1_50JQP_2023-08-03_final.stac-item
2023-08-03 11:35:46	ga_s2bm_ard_3-2-1_51JVH_2023-08-03_final.stac-item
2023-08-03 11:35:52	ga_s2bm_ard_3-2-1_51JTH_2023-08-03_final.stac-item
2023-08-03 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-08-03_final.stac-item
2023-08-03 11:36:01	ga_s2bm_ard_3-2-1_51JVG_2023-08-03_final.stac-item
2023-08-03 11:36:07	ga_s2bm_ard_3-2-1_51JTG_2023-08-03_final.stac-item
2023-08-03 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2023-08-03_final.stac-item
2023-08-03 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-08-03_final.stac-item
2023-08-03 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2023-08-03_final.stac-item
2023-08-03 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2023-08-03_final.stac-item
2023-08-03 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2023-08-03_final.stac-item
2023-08-03 11:36:38	ga_s2bm_ard_3-2-1_51HVD_2023-08-03_final.stac-item
2023-08-03 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-08-03_final.stac-item
2023-08-03 11:37:17	ga_s2bm_ard_3-2-1_51HUB_2023-08-03_final.stac-item
2023-08-03 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-08-03_final.stac-item
2023-08-03 11:37:30	ga_s2bm_ard_3-2-1_51HUA_2023-08-03_nrt.stac-item
2023-08-03 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-03_final.stac-item
2023-08-03 11:37:32	ga_s2bm_ard_3-2-1_51HTA_2023-08-03_nrt.stac-item
2023-08-03 11:37:33	ga_s2bm_ard_3-2-1_50HQF_2023-08-03_nrt.stac-item
2023-08-03 11:37:35	ga_s2bm_ard_3-2-1_50HPF_2023-08-03_nrt.stac-item
2023-08-03 11:37:37	ga_s2bm_ard_3-2-1_50HNF_2023-08-03_nrt.stac-item
2023-08-04 09:23:12	ga_s2bm_ard_3-2-1_56KPV_2023-08-03_nrt.stac-item
2023-08-04 09:24:10	ga_s2bm_ard_3-2-1_56JPR_2023-08-03_nrt.stac-item
2023-08-04 09:24:14	ga_s2bm_ard_3-2-1_56JNR_2023-08-03_final.stac-item
2023-08-04 09:24:39	ga_s2bm_ard_3-2-1_56JPP_2023-08-03_nrt.stac-item
2023-08-04 09:24:57	ga_s2bm_ard_3-2-1_56JNN_2023-08-03_final.stac-item
2023-08-04 09:25:00	ga_s2bm_ard_3-2-1_56JMN_2023-08-03_final.stac-item
2023-08-04 09:25:12	ga_s2bm_ard_3-2-1_56JNM_2023-08-03_final.stac-item
2023-08-04 09:25:15	ga_s2bm_ard_3-2-1_56JMM_2023-08-03_final.stac-item
2023-08-04 09:25:41	ga_s2bm_ard_3-2-1_56HNK_2023-08-03_nrt.stac-item
2023-08-04 09:25:44	ga_s2bm_ard_3-2-1_56HMK_2023-08-03_final.stac-item
2023-08-04 09:25:55	ga_s2bm_ard_3-2-1_56HNJ_2023-08-03_nrt.stac-item
2023-08-04 09:26:16	ga_s2bm_ard_3-2-1_56HPG_2023-08-03_nrt.stac-item
2023-08-04 09:26:24	ga_s2bm_ard_3-2-1_56HNG_2023-08-03_nrt.stac-item
2023-08-04 09:26:28	ga_s2bm_ard_3-2-1_56HMG_2023-08-03_nrt.stac-item
2023-08-04 09:26:31	ga_s2bm_ard_3-2-1_56HLG_2023-08-03_final.stac-item
2023-08-04 09:26:46	ga_s2bm_ard_3-2-1_56HLF_2023-08-03_nrt.stac-item
2023-08-04 09:26:49	ga_s2bm_ard_3-2-1_56HKF_2023-08-03_final.stac-item
2023-08-04 09:27:07	ga_s2bm_ard_3-2-1_56HND_2023-08-03_nrt.stac-item
2023-08-04 09:27:11	ga_s2bm_ard_3-2-1_56HMD_2023-08-03_nrt.stac-item
2023-08-04 09:27:15	ga_s2bm_ard_3-2-1_56HLD_2023-08-03_nrt.stac-item
2023-08-04 09:27:18	ga_s2bm_ard_3-2-1_56HKD_2023-08-03_nrt.stac-item
2023-08-04 09:27:19	ga_s2bm_ard_3-2-1_55HGU_2023-08-03_final.stac-item
2023-08-04 09:27:40	ga_s2bm_ard_3-2-1_56HMB_2023-08-03_nrt.stac-item
2023-08-04 09:27:47	ga_s2bm_ard_3-2-1_56HKB_2023-08-03_nrt.stac-item
2023-08-04 09:27:48	ga_s2bm_ard_3-2-1_55HGS_2023-08-03_nrt.stac-item
2023-08-04 09:27:54	ga_s2bm_ard_3-2-1_55HFS_2023-08-03_final.stac-item
2023-08-04 09:28:23	ga_s2bm_ard_3-2-1_56GMU_2023-08-03_nrt.stac-item
2023-08-04 09:28:33	ga_s2bm_ard_3-2-1_56GMT_2023-08-03_nrt.stac-item
2023-08-04 09:28:35	ga_s2bm_ard_3-2-1_55GFP_2023-08-03_final.stac-item
2023-08-04 09:28:45	ga_s2bm_ard_3-2-1_55GGN_2023-08-03_nrt.stac-item
2023-08-04 09:28:49	ga_s2bm_ard_3-2-1_55GFN_2023-08-03_final.stac-item
2023-08-04 09:28:53	ga_s2bm_ard_3-2-1_55GEN_2023-08-03_final.stac-item
2023-08-04 09:28:59	ga_s2bm_ard_3-2-1_55GGM_2023-08-03_nrt.stac-item
2023-08-04 09:29:03	ga_s2bm_ard_3-2-1_55GEM_2023-08-03_final.stac-item
2023-08-04 11:00:12	ga_s2bm_ard_3-2-1_53LMJ_2023-08-04_nrt.stac-item
2023-08-04 11:00:15	ga_s2bm_ard_3-2-1_53LLJ_2023-08-04_nrt.stac-item
2023-08-04 11:00:19	ga_s2bm_ard_3-2-1_53LKJ_2023-08-04_final.stac-item
2023-08-04 11:00:45	ga_s2bm_ard_3-2-1_53LLG_2023-08-04_final.stac-item
2023-08-04 11:01:31	ga_s2bm_ard_3-2-1_53LKD_2023-08-04_final.stac-item
2023-08-04 11:01:33	ga_s2bm_ard_3-2-1_52LHJ_2023-08-04_final.stac-item
2023-08-04 11:01:36	ga_s2bm_ard_3-2-1_52LGJ_2023-08-04_final.stac-item
2023-08-04 11:01:43	ga_s2bm_ard_3-2-1_53LLC_2023-08-04_final.stac-item
2023-08-04 11:01:55	ga_s2bm_ard_3-2-1_52LFH_2023-08-04_final.stac-item
2023-08-04 11:02:08	ga_s2bm_ard_3-2-1_53KLA_2023-08-04_final.stac-item
2023-08-04 11:02:15	ga_s2bm_ard_3-2-1_53KKA_2023-08-04_final.stac-item
2023-08-04 11:02:16	ga_s2bm_ard_3-2-1_52KHF_2023-08-04_final.stac-item
2023-08-04 11:02:20	ga_s2bm_ard_3-2-1_52KGF_2023-08-04_final.stac-item
2023-08-04 11:02:29	ga_s2bm_ard_3-2-1_53KKV_2023-08-04_final.stac-item
2023-08-04 11:02:30	ga_s2bm_ard_3-2-1_52KHE_2023-08-04_final.stac-item
2023-08-04 11:02:34	ga_s2bm_ard_3-2-1_52KGE_2023-08-04_final.stac-item
2023-08-04 11:03:06	ga_s2bm_ard_3-2-1_52KFC_2023-08-04_final.stac-item
2023-08-04 11:03:10	ga_s2bm_ard_3-2-1_52KEC_2023-08-04_final.stac-item
2023-08-04 11:03:12	ga_s2bm_ard_3-2-1_53KKS_2023-08-04_final.stac-item
2023-08-04 11:03:18	ga_s2bm_ard_3-2-1_52KGB_2023-08-04_final.stac-item
2023-08-04 11:03:24	ga_s2bm_ard_3-2-1_53KKR_2023-08-04_final.stac-item
2023-08-04 11:03:32	ga_s2bm_ard_3-2-1_52KGA_2023-08-04_final.stac-item
2023-08-04 11:03:50	ga_s2bm_ard_3-2-1_52KFV_2023-08-04_final.stac-item
2023-08-04 11:04:40	ga_s2bm_ard_3-2-1_52JGR_2023-08-04_final.stac-item
2023-08-04 11:04:48	ga_s2bm_ard_3-2-1_52JFR_2023-08-04_final.stac-item
2023-08-04 11:04:52	ga_s2bm_ard_3-2-1_52JER_2023-08-04_final.stac-item
2023-08-04 11:04:55	ga_s2bm_ard_3-2-1_52JDR_2023-08-04_final.stac-item
2023-08-04 11:05:00	ga_s2bm_ard_3-2-1_52JCR_2023-08-04_final.stac-item
2023-08-04 11:05:17	ga_s2bm_ard_3-2-1_52JFP_2023-08-04_final.stac-item
2023-08-04 11:05:27	ga_s2bm_ard_3-2-1_52JCP_2023-08-04_final.stac-item
2023-08-04 11:05:35	ga_s2bm_ard_3-2-1_52JEN_2023-08-04_final.stac-item
2023-08-04 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2023-08-04_final.stac-item
2023-08-04 11:05:49	ga_s2bm_ard_3-2-1_52JEM_2023-08-04_final.stac-item
2023-08-04 11:05:53	ga_s2bm_ard_3-2-1_52JDM_2023-08-04_final.stac-item
2023-08-04 11:06:03	ga_s2bm_ard_3-2-1_52JBM_2023-08-04_final.stac-item
2023-08-04 11:06:08	ga_s2bm_ard_3-2-1_52JDL_2023-08-04_final.stac-item
2023-08-04 11:06:11	ga_s2bm_ard_3-2-1_52JCL_2023-08-04_final.stac-item
2023-08-04 11:06:19	ga_s2bm_ard_3-2-1_52HEK_2023-08-04_nrt.stac-item
2023-08-04 11:06:22	ga_s2bm_ard_3-2-1_52HDK_2023-08-04_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

Other products

All years