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

81 results

Time (local)	Label
2024-04-09 09:49:40	ga_s2bm_ard_3-2-1_56LLP_2024-04-09_interim.stac-item
2024-04-09 09:49:59	ga_s2bm_ard_3-2-1_55LGH_2024-04-09_interim.stac-item
2024-04-09 09:50:04	ga_s2bm_ard_3-2-1_55LHG_2024-04-09_interim.stac-item
2024-04-09 09:50:59	ga_s2bm_ard_3-2-1_56LLJ_2024-04-09_interim.stac-item
2024-04-09 09:51:01	ga_s2bm_ard_3-2-1_56LKJ_2024-04-09_interim.stac-item
2024-04-09 09:51:54	ga_s2bm_ard_3-2-1_56KKE_2024-04-09_interim.stac-item
2024-04-09 09:52:02	ga_s2bm_ard_3-2-1_55KFV_2024-04-09_interim.stac-item
2024-04-09 09:52:09	ga_s2bm_ard_3-2-1_55KHU_2024-04-09_interim.stac-item
2024-04-09 09:57:54	ga_s2bm_ard_3-2-1_54HXB_2024-04-09_interim.stac-item
2024-04-09 11:30:50	ga_s2bm_ard_3-2-1_52LBM_2024-04-09_interim.stac-item
2024-04-10 11:06:14	ga_s2bm_ard_3-2-1_52HEK_2024-04-10_nrt.stac-item
2024-04-11 12:10:27	ga_s2bm_ard_3-2-1_50LNP_2024-04-11_nrt.stac-item
2024-04-11 12:13:28	ga_s2bm_ard_3-2-1_50KKC_2024-04-11_nrt.stac-item
2024-04-11 12:13:33	ga_s2bm_ard_3-2-1_49KFT_2024-04-11_nrt.stac-item
2024-04-11 12:13:44	ga_s2bm_ard_3-2-1_49KGS_2024-04-11_nrt.stac-item
2024-04-11 12:13:47	ga_s2bm_ard_3-2-1_49KFS_2024-04-11_nrt.stac-item
2024-04-11 12:14:02	ga_s2bm_ard_3-2-1_49KFR_2024-04-11_nrt.stac-item
2024-04-11 12:14:16	ga_s2bm_ard_3-2-1_49KFQ_2024-04-11_nrt.stac-item
2024-04-11 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2024-04-11_nrt.stac-item
2024-04-12 09:59:38	ga_s2bm_ard_3-2-1_55LHJ_2024-04-12_nrt.stac-item
2024-04-12 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2024-04-12_nrt.stac-item
2024-04-12 09:59:47	ga_s2bm_ard_3-2-1_55LFJ_2024-04-12_nrt.stac-item
2024-04-12 09:59:48	ga_s2bm_ard_3-2-1_55LHH_2024-04-12_nrt.stac-item
2024-04-12 09:59:51	ga_s2bm_ard_3-2-1_55LEJ_2024-04-12_nrt.stac-item
2024-04-12 09:59:58	ga_s2bm_ard_3-2-1_55LGH_2024-04-12_nrt.stac-item
2024-04-12 10:00:02	ga_s2bm_ard_3-2-1_55LFH_2024-04-12_nrt.stac-item
2024-04-12 10:00:05	ga_s2bm_ard_3-2-1_55LEH_2024-04-12_nrt.stac-item
2024-04-12 10:00:09	ga_s2bm_ard_3-2-1_55LDH_2024-04-12_nrt.stac-item
2024-04-12 10:00:13	ga_s2bm_ard_3-2-1_55LGG_2024-04-12_nrt.stac-item
2024-04-12 10:00:16	ga_s2bm_ard_3-2-1_55LFG_2024-04-12_nrt.stac-item
2024-04-12 10:00:20	ga_s2bm_ard_3-2-1_55LEG_2024-04-12_nrt.stac-item
2024-04-12 10:00:23	ga_s2bm_ard_3-2-1_55LDG_2024-04-12_nrt.stac-item
2024-04-12 10:00:27	ga_s2bm_ard_3-2-1_55LGF_2024-04-12_nrt.stac-item
2024-04-12 10:00:31	ga_s2bm_ard_3-2-1_55LFF_2024-04-12_nrt.stac-item
2024-04-12 10:00:34	ga_s2bm_ard_3-2-1_55LEF_2024-04-12_nrt.stac-item
2024-04-12 10:00:37	ga_s2bm_ard_3-2-1_55LDF_2024-04-12_nrt.stac-item
2024-04-12 10:00:41	ga_s2bm_ard_3-2-1_55LGE_2024-04-12_nrt.stac-item
2024-04-12 10:00:45	ga_s2bm_ard_3-2-1_55LFE_2024-04-12_nrt.stac-item
2024-04-12 10:00:49	ga_s2bm_ard_3-2-1_55LEE_2024-04-12_nrt.stac-item
2024-04-12 10:00:52	ga_s2bm_ard_3-2-1_55LGD_2024-04-12_nrt.stac-item
2024-04-12 10:00:52	ga_s2bm_ard_3-2-1_55LDE_2024-04-12_nrt.stac-item
2024-04-12 10:01:00	ga_s2bm_ard_3-2-1_55LFD_2024-04-12_nrt.stac-item
2024-04-12 10:01:03	ga_s2bm_ard_3-2-1_55LED_2024-04-12_nrt.stac-item
2024-04-12 10:01:07	ga_s2bm_ard_3-2-1_55LDD_2024-04-12_nrt.stac-item
2024-04-12 10:01:21	ga_s2bm_ard_3-2-1_55LDC_2024-04-12_nrt.stac-item
2024-04-12 10:01:47	ga_s2bm_ard_3-2-1_55KEA_2024-04-12_nrt.stac-item
2024-04-12 10:01:55	ga_s2bm_ard_3-2-1_55KFV_2024-04-12_nrt.stac-item
2024-04-12 10:07:47	ga_s2bm_ard_3-2-1_54HUC_2024-04-12_nrt.stac-item
2024-04-12 10:07:49	ga_s2bm_ard_3-2-1_54HXB_2024-04-12_nrt.stac-item
2024-04-12 10:07:51	ga_s2bm_ard_3-2-1_54HWB_2024-04-12_nrt.stac-item
2024-04-12 10:07:52	ga_s2bm_ard_3-2-1_54HVB_2024-04-12_nrt.stac-item
2024-04-12 10:07:53	ga_s2bm_ard_3-2-1_54HUB_2024-04-12_nrt.stac-item
2024-04-12 11:40:25	ga_s2bm_ard_3-2-1_51LXJ_2024-04-12_nrt.stac-item
2024-04-12 11:40:29	ga_s2bm_ard_3-2-1_51LWJ_2024-04-12_nrt.stac-item
2024-04-12 11:40:32	ga_s2bm_ard_3-2-1_51LVJ_2024-04-12_nrt.stac-item
2024-04-12 11:40:35	ga_s2bm_ard_3-2-1_51LUJ_2024-04-12_nrt.stac-item
2024-04-12 11:40:40	ga_s2bm_ard_3-2-1_51LXH_2024-04-12_nrt.stac-item
2024-04-12 11:40:43	ga_s2bm_ard_3-2-1_51LWH_2024-04-12_nrt.stac-item
2024-04-12 11:40:46	ga_s2bm_ard_3-2-1_51LVH_2024-04-12_nrt.stac-item
2024-04-12 11:40:49	ga_s2bm_ard_3-2-1_51LUH_2024-04-12_nrt.stac-item
2024-04-12 11:40:54	ga_s2bm_ard_3-2-1_51LXG_2024-04-12_nrt.stac-item
2024-04-12 11:41:04	ga_s2bm_ard_3-2-1_51LUG_2024-04-12_nrt.stac-item
2024-04-12 11:41:07	ga_s2bm_ard_3-2-1_51LXF_2024-04-12_nrt.stac-item
2024-04-12 11:41:12	ga_s2bm_ard_3-2-1_51LWF_2024-04-12_nrt.stac-item
2024-04-12 11:41:17	ga_s2bm_ard_3-2-1_51LXE_2024-04-12_nrt.stac-item
2024-04-12 11:41:37	ga_s2bm_ard_3-2-1_51LTE_2024-04-12_nrt.stac-item
2024-04-12 11:41:41	ga_s2bm_ard_3-2-1_51LWD_2024-04-12_nrt.stac-item
2024-04-12 11:41:44	ga_s2bm_ard_3-2-1_51LVD_2024-04-12_nrt.stac-item
2024-04-12 11:41:51	ga_s2bm_ard_3-2-1_51LTD_2024-04-12_nrt.stac-item
2024-04-12 11:42:05	ga_s2bm_ard_3-2-1_51LTC_2024-04-12_nrt.stac-item
2024-04-12 11:42:08	ga_s2bm_ard_3-2-1_50LRH_2024-04-12_nrt.stac-item
2024-04-12 11:42:20	ga_s2bm_ard_3-2-1_51KTB_2024-04-12_nrt.stac-item
2024-04-12 11:42:21	ga_s2bm_ard_3-2-1_50KRG_2024-04-12_nrt.stac-item
2024-04-12 11:42:35	ga_s2bm_ard_3-2-1_51KTA_2024-04-12_nrt.stac-item
2024-04-12 11:42:35	ga_s2bm_ard_3-2-1_50KRF_2024-04-12_nrt.stac-item
2024-04-12 11:42:49	ga_s2bm_ard_3-2-1_51KTV_2024-04-12_nrt.stac-item
2024-04-12 11:42:50	ga_s2bm_ard_3-2-1_50KRE_2024-04-12_nrt.stac-item
2024-04-12 11:47:30	ga_s2bm_ard_3-2-1_50HPF_2024-04-12_nrt.stac-item
2024-04-12 11:47:32	ga_s2bm_ard_3-2-1_50HNF_2024-04-12_nrt.stac-item
2024-04-12 11:47:33	ga_s2bm_ard_3-2-1_50HMF_2024-04-12_nrt.stac-item
2024-04-12 11:47:35	ga_s2bm_ard_3-2-1_50HLF_2024-04-12_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

Other products

All years