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
2023-10-22 09:57:42	ga_s2bm_ard_3-2-1_54HXC_2023-10-22_final.stac-item
2023-10-22 09:57:47	ga_s2bm_ard_3-2-1_54HWC_2023-10-22_final.stac-item
2023-10-22 11:31:20	ga_s2bm_ard_3-2-1_52LBK_2023-10-22_final.stac-item
2023-10-22 11:31:22	ga_s2bm_ard_3-2-1_51LZE_2023-10-22_final.stac-item
2023-10-22 11:31:31	ga_s2bm_ard_3-2-1_52LBJ_2023-10-22_final.stac-item
2023-10-22 11:31:32	ga_s2bm_ard_3-2-1_51LWE_2023-10-22_final.stac-item
2023-10-22 11:31:37	ga_s2bm_ard_3-2-1_51LZD_2023-10-22_final.stac-item
2023-10-22 11:31:55	ga_s2bm_ard_3-2-1_51LYC_2023-10-22_final.stac-item
2023-10-22 11:32:42	ga_s2bm_ard_3-2-1_51KXV_2023-10-22_final.stac-item
2023-10-22 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2023-10-22_final.stac-item
2023-10-22 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2023-10-22_final.stac-item
2023-10-22 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2023-10-22_final.stac-item
2023-10-22 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2023-10-22_final.stac-item
2023-10-22 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2023-10-22_final.stac-item
2023-10-22 11:34:38	ga_s2bm_ard_3-2-1_51JTN_2023-10-22_final.stac-item
2023-10-22 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2023-10-22_final.stac-item
2023-10-22 11:34:41	ga_s2bm_ard_3-2-1_51JWM_2023-10-22_final.stac-item
2023-10-22 11:34:56	ga_s2bm_ard_3-2-1_51JWL_2023-10-22_final.stac-item
2023-10-22 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2023-10-22_final.stac-item
2023-10-22 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2023-10-22_final.stac-item
2023-10-22 11:35:32	ga_s2bm_ard_3-2-1_51JUJ_2023-10-22_final.stac-item
2023-10-22 11:35:35	ga_s2bm_ard_3-2-1_51JTJ_2023-10-22_final.stac-item
2023-10-22 11:35:46	ga_s2bm_ard_3-2-1_51JUH_2023-10-22_final.stac-item
2023-10-22 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2023-10-22_final.stac-item
2023-10-22 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2023-10-22_final.stac-item
2023-10-22 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2023-10-22_final.stac-item
2023-10-22 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2023-10-22_final.stac-item
2023-10-22 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-10-22_final.stac-item
2023-10-22 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-22_final.stac-item
2023-10-22 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2023-10-22_final.stac-item
2023-10-22 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2023-10-22_final.stac-item
2023-10-23 11:00:24	ga_s2bm_ard_3-2-1_53LMH_2023-10-23_final.stac-item
2023-10-23 11:00:30	ga_s2bm_ard_3-2-1_53LKH_2023-10-23_final.stac-item
2023-10-23 11:00:45	ga_s2bm_ard_3-2-1_53LKG_2023-10-23_final.stac-item
2023-10-23 11:00:50	ga_s2bm_ard_3-2-1_52LGM_2023-10-23_final.stac-item
2023-10-23 11:00:59	ga_s2bm_ard_3-2-1_53LKF_2023-10-23_final.stac-item
2023-10-23 11:01:01	ga_s2bm_ard_3-2-1_52LHL_2023-10-23_final.stac-item
2023-10-23 11:01:04	ga_s2bm_ard_3-2-1_52LGL_2023-10-23_final.stac-item
2023-10-23 11:01:10	ga_s2bm_ard_3-2-1_53LLE_2023-10-23_final.stac-item
2023-10-23 11:01:25	ga_s2bm_ard_3-2-1_53LLD_2023-10-23_final.stac-item
2023-10-23 11:01:41	ga_s2bm_ard_3-2-1_52LFJ_2023-10-23_final.stac-item
2023-10-23 11:01:47	ga_s2bm_ard_3-2-1_52LGH_2023-10-23_final.stac-item
2023-10-23 11:01:57	ga_s2bm_ard_3-2-1_53KKB_2023-10-23_final.stac-item
2023-10-23 11:02:47	ga_s2bm_ard_3-2-1_52KFD_2023-10-23_final.stac-item
2023-10-23 11:02:57	ga_s2bm_ard_3-2-1_52KHC_2023-10-23_final.stac-item
2023-10-23 11:03:00	ga_s2bm_ard_3-2-1_52KGC_2023-10-23_final.stac-item
2023-10-23 11:03:03	ga_s2bm_ard_3-2-1_52KFC_2023-10-23_final.stac-item
2023-10-23 11:03:06	ga_s2bm_ard_3-2-1_52KEC_2023-10-23_final.stac-item
2023-10-23 11:03:09	ga_s2bm_ard_3-2-1_53KKS_2023-10-23_final.stac-item
2023-10-23 11:03:14	ga_s2bm_ard_3-2-1_52KGB_2023-10-23_final.stac-item
2023-10-23 11:03:43	ga_s2bm_ard_3-2-1_52KGV_2023-10-23_final.stac-item
2023-10-23 11:03:58	ga_s2bm_ard_3-2-1_52KGU_2023-10-23_final.stac-item
2023-10-23 11:04:05	ga_s2bm_ard_3-2-1_52KEU_2023-10-23_final.stac-item
2023-10-23 11:04:12	ga_s2bm_ard_3-2-1_52JGT_2023-10-23_final.stac-item
2023-10-23 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2023-10-23_final.stac-item
2023-10-23 11:04:19	ga_s2bm_ard_3-2-1_52JET_2023-10-23_final.stac-item
2023-10-23 11:04:30	ga_s2bm_ard_3-2-1_52JFS_2023-10-23_final.stac-item
2023-10-23 11:04:34	ga_s2bm_ard_3-2-1_52JES_2023-10-23_final.stac-item
2023-10-23 11:04:37	ga_s2bm_ard_3-2-1_52JDS_2023-10-23_final.stac-item
2023-10-23 11:05:10	ga_s2bm_ard_3-2-1_52JCQ_2023-10-23_final.stac-item
2023-10-23 11:05:14	ga_s2bm_ard_3-2-1_52JFP_2023-10-23_final.stac-item
2023-10-23 11:05:24	ga_s2bm_ard_3-2-1_52JCP_2023-10-23_final.stac-item
2023-10-23 11:05:28	ga_s2bm_ard_3-2-1_52JFN_2023-10-23_final.stac-item
2023-10-23 11:05:32	ga_s2bm_ard_3-2-1_52JEN_2023-10-23_final.stac-item
2023-10-23 11:05:46	ga_s2bm_ard_3-2-1_52JEM_2023-10-23_final.stac-item
2023-10-23 11:05:50	ga_s2bm_ard_3-2-1_52JDM_2023-10-23_final.stac-item
2023-10-23 11:06:05	ga_s2bm_ard_3-2-1_52JDL_2023-10-23_final.stac-item
2023-10-23 11:06:19	ga_s2bm_ard_3-2-1_52HDK_2023-10-23_final.stac-item
2023-10-24 10:32:24	ga_s2bm_ard_3-2-1_53KQV_2023-10-24_final.stac-item
2023-10-24 10:32:34	ga_s2bm_ard_3-2-1_53KRU_2023-10-24_final.stac-item
2023-10-24 10:32:38	ga_s2bm_ard_3-2-1_53KQU_2023-10-24_final.stac-item
2023-10-24 10:32:44	ga_s2bm_ard_3-2-1_53KQU_2023-10-24_final.stac-item
2023-10-24 10:33:13	ga_s2bm_ard_3-2-1_53KPS_2023-10-24_final.stac-item
2023-10-24 10:33:25	ga_s2bm_ard_3-2-1_53KPR_2023-10-24_final.stac-item
2023-10-24 10:33:36	ga_s2bm_ard_3-2-1_53KQQ_2023-10-24_final.stac-item
2023-10-24 10:33:47	ga_s2bm_ard_3-2-1_53KRP_2023-10-24_final.stac-item
2023-10-24 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2023-10-24_final.stac-item
2023-10-24 10:34:23	ga_s2bm_ard_3-2-1_53JPM_2023-10-24_final.stac-item
2023-10-24 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2023-10-24_final.stac-item
2023-10-24 10:34:40	ga_s2bm_ard_3-2-1_53JNL_2023-10-24_final.stac-item
2023-10-24 10:35:02	ga_s2bm_ard_3-2-1_53JQJ_2023-10-24_final.stac-item
2023-10-24 10:35:17	ga_s2bm_ard_3-2-1_53JQH_2023-10-24_final.stac-item
2023-10-24 10:35:24	ga_s2bm_ard_3-2-1_53JNH_2023-10-24_final.stac-item
2023-10-24 10:35:35	ga_s2bm_ard_3-2-1_53JPG_2023-10-24_final.stac-item
2023-10-24 10:35:39	ga_s2bm_ard_3-2-1_53JNG_2023-10-24_final.stac-item
2023-10-24 10:36:04	ga_s2bm_ard_3-2-1_53HPE_2023-10-24_final.stac-item
2023-10-24 10:36:11	ga_s2bm_ard_3-2-1_53HME_2023-10-24_final.stac-item
2023-10-24 10:36:29	ga_s2bm_ard_3-2-1_53HLD_2023-10-24_final.stac-item
2023-10-24 12:14:18	ga_s2bm_ard_3-2-1_50KKU_2023-10-24_final.stac-item
2023-10-24 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2023-10-24_final.stac-item
2023-11-02 11:00:10	ga_s2bm_ard_3-2-1_53LMJ_2023-11-02_nrt.stac-item
2023-11-02 11:06:30	ga_s2bm_ard_3-2-1_52HEJ_2023-11-02_nrt.stac-item
2023-11-03 10:31:12	ga_s2bm_ard_3-2-1_53LRE_2023-11-03_nrt.stac-item
2023-11-03 10:31:22	ga_s2bm_ard_3-2-1_53LRD_2023-11-03_nrt.stac-item
2023-11-03 10:31:28	ga_s2bm_ard_3-2-1_53LRD_2023-11-03_nrt.stac-item
2023-11-03 10:31:38	ga_s2bm_ard_3-2-1_53LRC_2023-11-03_nrt.stac-item
2023-11-03 10:36:45	ga_s2bm_ard_3-2-1_53HLC_2023-11-03_nrt.stac-item
2023-11-03 10:37:00	ga_s2bm_ard_3-2-1_53HLB_2023-11-03_nrt.stac-item
2023-11-03 10:37:08	ga_s2bm_ard_3-2-1_53HLA_2023-11-03_nrt.stac-item
2023-11-03 12:13:50	ga_s2bm_ard_3-2-1_49KFS_2023-11-03_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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