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
2023-02-14 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2023-02-14_final.stac-item
2023-02-14 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2023-02-14_final.stac-item
2023-02-14 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-02-14_final.stac-item
2023-02-14 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2023-02-14_final.stac-item
2023-02-14 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2023-02-14_final.stac-item
2023-02-14 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-02-14_final.stac-item
2023-02-14 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2023-02-14_final.stac-item
2023-02-14 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2023-02-14_final.stac-item
2023-02-15 09:23:20	ga_s2bm_ard_3-2-1_56KPU_2023-02-14_nrt.stac-item
2023-02-15 09:23:35	ga_s2bm_ard_3-2-1_56JPT_2023-02-14_nrt.stac-item
2023-02-15 09:23:38	ga_s2bm_ard_3-2-1_56JNT_2023-02-14_final.stac-item
2023-02-15 09:23:49	ga_s2bm_ard_3-2-1_56JPS_2023-02-14_nrt.stac-item
2023-02-15 09:23:53	ga_s2bm_ard_3-2-1_56JNS_2023-02-14_final.stac-item
2023-02-15 09:24:04	ga_s2bm_ard_3-2-1_56JPR_2023-02-14_nrt.stac-item
2023-02-15 09:24:07	ga_s2bm_ard_3-2-1_56JNR_2023-02-14_final.stac-item
2023-02-15 09:24:18	ga_s2bm_ard_3-2-1_56JPQ_2023-02-14_nrt.stac-item
2023-02-15 09:24:33	ga_s2bm_ard_3-2-1_56JPP_2023-02-14_nrt.stac-item
2023-02-15 09:24:47	ga_s2bm_ard_3-2-1_56JPN_2023-02-14_nrt.stac-item
2023-02-15 09:24:51	ga_s2bm_ard_3-2-1_56JNN_2023-02-14_final.stac-item
2023-02-15 09:24:54	ga_s2bm_ard_3-2-1_56JMN_2023-02-14_final.stac-item
2023-02-15 09:25:02	ga_s2bm_ard_3-2-1_56JPM_2023-02-14_nrt.stac-item
2023-02-15 09:25:05	ga_s2bm_ard_3-2-1_56JNM_2023-02-14_final.stac-item
2023-02-15 09:25:09	ga_s2bm_ard_3-2-1_56JMM_2023-02-14_final.stac-item
2023-02-15 09:25:20	ga_s2bm_ard_3-2-1_56JNL_2023-02-14_final.stac-item
2023-02-15 09:25:23	ga_s2bm_ard_3-2-1_56JML_2023-02-14_final.stac-item
2023-02-15 09:25:30	ga_s2bm_ard_3-2-1_56HPK_2023-02-14_nrt.stac-item
2023-02-15 09:25:59	ga_s2bm_ard_3-2-1_56HPH_2023-02-14_nrt.stac-item
2023-02-15 09:26:03	ga_s2bm_ard_3-2-1_56HNH_2023-02-14_nrt.stac-item
2023-02-15 09:26:07	ga_s2bm_ard_3-2-1_56HMH_2023-02-14_nrt.stac-item
2023-02-15 09:26:10	ga_s2bm_ard_3-2-1_56HLH_2023-02-14_final.stac-item
2023-02-15 09:26:17	ga_s2bm_ard_3-2-1_56HNG_2023-02-14_nrt.stac-item
2023-02-15 09:26:21	ga_s2bm_ard_3-2-1_56HMG_2023-02-14_nrt.stac-item
2023-02-15 09:26:47	ga_s2bm_ard_3-2-1_56HNE_2023-02-14_nrt.stac-item
2023-02-15 09:26:50	ga_s2bm_ard_3-2-1_56HME_2023-02-14_nrt.stac-item
2023-02-15 09:26:54	ga_s2bm_ard_3-2-1_56HLE_2023-02-14_nrt.stac-item
2023-02-15 09:27:34	ga_s2bm_ard_3-2-1_56HMB_2023-02-14_nrt.stac-item
2023-02-15 09:27:38	ga_s2bm_ard_3-2-1_56HLB_2023-02-14_nrt.stac-item
2023-02-15 09:27:47	ga_s2bm_ard_3-2-1_55HFS_2023-02-14_final.stac-item
2023-02-15 09:28:16	ga_s2bm_ard_3-2-1_56GMU_2023-02-14_nrt.stac-item
2023-02-15 09:28:21	ga_s2bm_ard_3-2-1_56GLU_2023-02-14_nrt.stac-item
2023-02-15 09:28:24	ga_s2bm_ard_3-2-1_55GGP_2023-02-14_nrt.stac-item
2023-02-15 09:28:24	ga_s2bm_ard_3-2-1_56GKU_2023-02-14_nrt.stac-item
2023-02-15 09:28:27	ga_s2bm_ard_3-2-1_55GFP_2023-02-14_final.stac-item
2023-02-15 09:28:32	ga_s2bm_ard_3-2-1_56GKU_2023-02-14_nrt.stac-item
2023-02-15 09:28:32	ga_s2bm_ard_3-2-1_55GGP_2023-02-14_nrt.stac-item
2023-02-15 09:28:33	ga_s2bm_ard_3-2-1_55GFP_2023-02-14_final.stac-item
2023-02-15 09:28:36	ga_s2bm_ard_3-2-1_55GEP_2023-02-14_final.stac-item
2023-02-15 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2023-02-15_final.stac-item
2023-02-15 11:00:53	ga_s2bm_ard_3-2-1_53LLF_2023-02-15_final.stac-item
2023-02-15 11:00:56	ga_s2bm_ard_3-2-1_53LKF_2023-02-15_final.stac-item
2023-02-15 11:01:00	ga_s2bm_ard_3-2-1_52LGL_2023-02-15_final.stac-item
2023-02-15 11:01:54	ga_s2bm_ard_3-2-1_53KKB_2023-02-15_final.stac-item
2023-02-15 11:01:55	ga_s2bm_ard_3-2-1_52KHG_2023-02-15_final.stac-item
2023-02-15 11:02:08	ga_s2bm_ard_3-2-1_53KKA_2023-02-15_final.stac-item
2023-02-15 11:02:38	ga_s2bm_ard_3-2-1_53KKU_2023-02-15_final.stac-item
2023-02-15 11:02:38	ga_s2bm_ard_3-2-1_52KHD_2023-02-15_final.stac-item
2023-02-15 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2023-02-15_final.stac-item
2023-02-15 11:02:52	ga_s2bm_ard_3-2-1_53KKT_2023-02-15_final.stac-item
2023-02-15 11:02:53	ga_s2bm_ard_3-2-1_52KHC_2023-02-15_final.stac-item
2023-02-15 11:02:57	ga_s2bm_ard_3-2-1_52KGC_2023-02-15_final.stac-item
2023-02-15 11:03:05	ga_s2bm_ard_3-2-1_53KKS_2023-02-15_final.stac-item
2023-02-15 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-02-15_final.stac-item
2023-02-15 11:03:09	ga_s2bm_ard_3-2-1_52KGB_2023-02-15_final.stac-item
2023-02-15 11:03:11	ga_s2bm_ard_3-2-1_52KFB_2023-02-15_final.stac-item
2023-02-15 11:03:12	ga_s2bm_ard_3-2-1_52KEB_2023-02-15_final.stac-item
2023-02-15 11:03:14	ga_s2bm_ard_3-2-1_52KHB_2023-02-15_final.stac-item
2023-02-15 11:03:17	ga_s2bm_ard_3-2-1_52KFB_2023-02-15_final.stac-item
2023-02-15 11:03:17	ga_s2bm_ard_3-2-1_53KKR_2023-02-15_final.stac-item
2023-02-15 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2023-02-15_final.stac-item
2023-02-15 11:03:21	ga_s2bm_ard_3-2-1_52KHA_2023-02-15_final.stac-item
2023-02-15 11:03:31	ga_s2bm_ard_3-2-1_52KHV_2023-02-15_final.stac-item
2023-02-15 11:03:40	ga_s2bm_ard_3-2-1_52KGV_2023-02-15_final.stac-item
2023-02-15 11:03:54	ga_s2bm_ard_3-2-1_52KGU_2023-02-15_final.stac-item
2023-02-15 11:03:58	ga_s2bm_ard_3-2-1_52KFU_2023-02-15_final.stac-item
2023-02-15 11:04:05	ga_s2bm_ard_3-2-1_52KDU_2023-02-15_final.stac-item
2023-02-15 11:04:13	ga_s2bm_ard_3-2-1_52JFT_2023-02-15_final.stac-item
2023-02-15 11:04:19	ga_s2bm_ard_3-2-1_52JDT_2023-02-15_final.stac-item
2023-02-15 11:04:23	ga_s2bm_ard_3-2-1_52JGS_2023-02-15_final.stac-item
2023-02-15 11:04:27	ga_s2bm_ard_3-2-1_52JFS_2023-02-15_final.stac-item
2023-02-15 11:04:31	ga_s2bm_ard_3-2-1_52JES_2023-02-15_final.stac-item
2023-02-15 11:04:34	ga_s2bm_ard_3-2-1_52JGR_2023-02-15_final.stac-item
2023-02-15 11:04:34	ga_s2bm_ard_3-2-1_52JDS_2023-02-15_final.stac-item
2023-02-15 11:04:41	ga_s2bm_ard_3-2-1_52JFR_2023-02-15_final.stac-item
2023-02-15 11:04:56	ga_s2bm_ard_3-2-1_52JFQ_2023-02-15_final.stac-item
2023-02-15 11:05:06	ga_s2bm_ard_3-2-1_52JCQ_2023-02-15_final.stac-item
2023-02-15 11:05:11	ga_s2bm_ard_3-2-1_52JFP_2023-02-15_final.stac-item
2023-02-15 11:05:21	ga_s2bm_ard_3-2-1_52JCP_2023-02-15_final.stac-item
2023-02-15 11:05:25	ga_s2bm_ard_3-2-1_52JFN_2023-02-15_final.stac-item
2023-02-15 11:05:29	ga_s2bm_ard_3-2-1_52JEN_2023-02-15_final.stac-item
2023-02-15 11:05:32	ga_s2bm_ard_3-2-1_52JDN_2023-02-15_final.stac-item
2023-02-15 11:05:36	ga_s2bm_ard_3-2-1_52JCN_2023-02-15_final.stac-item
2023-02-15 11:05:37	ga_s2bm_ard_3-2-1_52JFM_2023-02-15_final.stac-item
2023-02-15 11:05:43	ga_s2bm_ard_3-2-1_52JEM_2023-02-15_final.stac-item
2023-02-15 11:05:47	ga_s2bm_ard_3-2-1_52JDM_2023-02-15_final.stac-item
2023-02-15 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2023-02-15_final.stac-item
2023-02-15 11:05:57	ga_s2bm_ard_3-2-1_52JBM_2023-02-15_final.stac-item
2023-02-15 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2023-02-15_final.stac-item
2023-02-15 11:06:19	ga_s2bm_ard_3-2-1_52HCK_2023-02-15_final.stac-item
2023-02-15 11:06:22	ga_s2bm_ard_3-2-1_52HBK_2023-02-15_final.stac-item
2023-02-15 11:06:35	ga_s2bm_ard_3-2-1_52HEH_2023-02-15_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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