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
2022-11-08 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2022-11-08_final.stac-item
2022-11-09 08:24:20	ga_s2bm_ard_3-2-1_59JKJ_2022-11-08_interim.stac-item
2022-11-09 08:24:21	ga_s2bm_ard_3-2-1_58JGP_2022-11-08_interim.stac-item
2022-11-09 08:24:27	ga_s2bm_ard_3-2-1_58JGN_2022-11-08_final.stac-item
2022-11-09 08:31:37	ga_s2bm_ard_3-2-1_57FVA_2022-11-08_interim.stac-item
2022-11-09 08:31:43	ga_s2bm_ard_3-2-1_57FVV_2022-11-08_final.stac-item
2022-11-09 08:31:47	ga_s2bm_ard_3-2-1_57FWU_2022-11-08_interim.stac-item
2022-11-09 08:31:49	ga_s2bm_ard_3-2-1_57FVU_2022-11-08_interim.stac-item
2022-11-09 10:01:16	ga_s2bm_ard_3-2-1_55LEC_2022-11-09_final.stac-item
2022-11-09 10:01:49	ga_s2bm_ard_3-2-1_55KDA_2022-11-09_final.stac-item
2022-11-09 10:02:00	ga_s2bm_ard_3-2-1_55KEV_2022-11-09_final.stac-item
2022-11-09 10:02:03	ga_s2bm_ard_3-2-1_55KDV_2022-11-09_final.stac-item
2022-11-09 10:02:04	ga_s2bm_ard_3-2-1_55KFU_2022-11-09_final.stac-item
2022-11-09 10:02:14	ga_s2bm_ard_3-2-1_55KEU_2022-11-09_final.stac-item
2022-11-09 10:02:18	ga_s2bm_ard_3-2-1_55KDU_2022-11-09_final.stac-item
2022-11-09 10:02:25	ga_s2bm_ard_3-2-1_55KBU_2022-11-09_final.stac-item
2022-11-09 10:02:40	ga_s2bm_ard_3-2-1_54KZC_2022-11-09_final.stac-item
2022-11-09 10:02:53	ga_s2bm_ard_3-2-1_55KBS_2022-11-09_final.stac-item
2022-11-09 10:03:31	ga_s2bm_ard_3-2-1_54KYV_2022-11-09_final.stac-item
2022-11-09 10:03:51	ga_s2bm_ard_3-2-1_54JZT_2022-11-09_final.stac-item
2022-11-09 10:04:06	ga_s2bm_ard_3-2-1_54JZS_2022-11-09_final.stac-item
2022-11-09 10:04:12	ga_s2bm_ard_3-2-1_55JDL_2022-11-09_final.stac-item
2022-11-09 10:04:17	ga_s2bm_ard_3-2-1_55JCL_2022-11-09_final.stac-item
2022-11-09 10:04:21	ga_s2bm_ard_3-2-1_55JBL_2022-11-09_final.stac-item
2022-11-09 10:04:32	ga_s2bm_ard_3-2-1_55JCK_2022-11-09_final.stac-item
2022-11-09 10:04:42	ga_s2bm_ard_3-2-1_54JXQ_2022-11-09_final.stac-item
2022-11-09 10:05:01	ga_s2bm_ard_3-2-1_55JCH_2022-11-09_final.stac-item
2022-11-09 10:05:05	ga_s2bm_ard_3-2-1_55JBH_2022-11-09_final.stac-item
2022-11-09 10:05:07	ga_s2bm_ard_3-2-1_54JYN_2022-11-09_final.stac-item
2022-11-09 10:05:11	ga_s2bm_ard_3-2-1_54JXN_2022-11-09_final.stac-item
2022-11-09 10:05:15	ga_s2bm_ard_3-2-1_55JCG_2022-11-09_final.stac-item
2022-11-09 10:05:17	ga_s2bm_ard_3-2-1_55JBG_2022-11-09_final.stac-item
2022-11-09 10:05:19	ga_s2bm_ard_3-2-1_54JYM_2022-11-09_final.stac-item
2022-11-09 10:05:20	ga_s2bm_ard_3-2-1_54JXM_2022-11-09_final.stac-item
2022-11-09 10:05:22	ga_s2bm_ard_3-2-1_55JCG_2022-11-09_final.stac-item
2022-11-09 10:05:28	ga_s2bm_ard_3-2-1_55JCF_2022-11-09_final.stac-item
2022-11-09 10:05:34	ga_s2bm_ard_3-2-1_55JBF_2022-11-09_final.stac-item
2022-11-09 10:05:36	ga_s2bm_ard_3-2-1_54JYL_2022-11-09_final.stac-item
2022-11-09 10:05:38	ga_s2bm_ard_3-2-1_55HCE_2022-11-09_final.stac-item
2022-11-09 10:05:40	ga_s2bm_ard_3-2-1_54JXL_2022-11-09_final.stac-item
2022-11-09 10:06:03	ga_s2bm_ard_3-2-1_55HBD_2022-11-09_final.stac-item
2022-11-09 10:06:05	ga_s2bm_ard_3-2-1_54HYJ_2022-11-09_final.stac-item
2022-11-09 10:06:09	ga_s2bm_ard_3-2-1_54HXJ_2022-11-09_final.stac-item
2022-11-09 10:06:13	ga_s2bm_ard_3-2-1_54HWJ_2022-11-09_final.stac-item
2022-11-09 10:06:18	ga_s2bm_ard_3-2-1_55HBC_2022-11-09_final.stac-item
2022-11-09 10:06:19	ga_s2bm_ard_3-2-1_54HYH_2022-11-09_final.stac-item
2022-11-09 10:06:23	ga_s2bm_ard_3-2-1_54HXH_2022-11-09_final.stac-item
2022-11-09 10:06:34	ga_s2bm_ard_3-2-1_54HYG_2022-11-09_final.stac-item
2022-11-09 10:06:54	ga_s2bm_ard_3-2-1_55HBV_2022-11-09_final.stac-item
2022-11-09 10:06:56	ga_s2bm_ard_3-2-1_54HWF_2022-11-09_final.stac-item
2022-11-09 10:06:59	ga_s2bm_ard_3-2-1_54HVF_2022-11-09_final.stac-item
2022-11-09 10:07:02	ga_s2bm_ard_3-2-1_54HYE_2022-11-09_final.stac-item
2022-11-09 10:07:07	ga_s2bm_ard_3-2-1_54HXE_2022-11-09_final.stac-item
2022-11-09 10:07:10	ga_s2bm_ard_3-2-1_54HWE_2022-11-09_final.stac-item
2022-11-09 10:07:14	ga_s2bm_ard_3-2-1_54HVE_2022-11-09_final.stac-item
2022-11-09 10:07:35	ga_s2bm_ard_3-2-1_54HXC_2022-11-09_final.stac-item
2022-11-09 10:07:39	ga_s2bm_ard_3-2-1_54HWC_2022-11-09_final.stac-item
2022-11-09 10:07:43	ga_s2bm_ard_3-2-1_54HVC_2022-11-09_final.stac-item
2022-11-09 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2022-11-09_final.stac-item
2022-11-09 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2022-11-09_final.stac-item
2022-11-09 11:42:20	ga_s2bm_ard_3-2-1_51KWA_2022-11-09_final.stac-item
2022-11-09 11:42:30	ga_s2bm_ard_3-2-1_51KUA_2022-11-09_final.stac-item
2022-11-09 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2022-11-09_final.stac-item
2022-11-09 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2022-11-09_final.stac-item
2022-11-09 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2022-11-09_final.stac-item
2022-11-09 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2022-11-09_final.stac-item
2022-11-09 11:43:08	ga_s2bm_ard_3-2-1_50KQD_2022-11-09_final.stac-item
2022-11-09 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2022-11-09_final.stac-item
2022-11-09 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-11-09_final.stac-item
2022-11-09 11:43:31	ga_s2bm_ard_3-2-1_51KTS_2022-11-09_final.stac-item
2022-11-09 11:43:35	ga_s2bm_ard_3-2-1_50KQB_2022-11-09_final.stac-item
2022-11-09 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-11-09_final.stac-item
2022-11-09 11:44:09	ga_s2bm_ard_3-2-1_50KPV_2022-11-09_final.stac-item
2022-11-09 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2022-11-09_final.stac-item
2022-11-09 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2022-11-09_final.stac-item
2022-11-09 11:44:51	ga_s2bm_ard_3-2-1_50JPS_2022-11-09_final.stac-item
2022-11-09 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2022-11-09_final.stac-item
2022-11-09 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2022-11-09_final.stac-item
2022-11-09 11:45:10	ga_s2bm_ard_3-2-1_50JNR_2022-11-09_final.stac-item
2022-11-09 11:45:20	ga_s2bm_ard_3-2-1_50JPQ_2022-11-09_final.stac-item
2022-11-09 11:45:23	ga_s2bm_ard_3-2-1_50JNQ_2022-11-09_final.stac-item
2022-11-09 11:45:38	ga_s2bm_ard_3-2-1_50JNP_2022-11-09_final.stac-item
2022-11-09 11:45:42	ga_s2bm_ard_3-2-1_51JTH_2022-11-09_final.stac-item
2022-11-09 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2022-11-09_final.stac-item
2022-11-09 11:45:49	ga_s2bm_ard_3-2-1_50JPN_2022-11-09_final.stac-item
2022-11-09 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2022-11-09_final.stac-item
2022-11-09 11:45:56	ga_s2bm_ard_3-2-1_51JTG_2022-11-09_final.stac-item
2022-11-09 11:46:00	ga_s2bm_ard_3-2-1_50JQM_2022-11-09_final.stac-item
2022-11-09 11:46:06	ga_s2bm_ard_3-2-1_51JTF_2022-11-09_final.stac-item
2022-11-09 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2022-11-09_final.stac-item
2022-11-09 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2022-11-09_final.stac-item
2022-11-09 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-11-09_final.stac-item
2022-11-09 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-11-09_final.stac-item
2022-11-09 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-11-09_final.stac-item
2022-11-09 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2022-11-09_final.stac-item
2022-11-09 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-11-09_final.stac-item
2022-11-09 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-11-09_final.stac-item
2022-11-09 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2022-11-09_final.stac-item
2022-11-09 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-11-09_final.stac-item
2022-11-09 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-11-09_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