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
2018-12-29 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2018-12-29_final
2018-12-29 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-12-29_final
2018-12-29 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2018-12-29_final
2018-12-29 12:15:17	ga_s2bm_ard_3-2-1_49JGK_2018-12-29_final
2018-12-30 10:01:08	ga_s2bm_ard_3-2-1_55LCD_2018-12-30_final
2018-12-30 10:02:27	ga_s2bm_ard_3-2-1_55KET_2018-12-30_final
2018-12-30 10:02:31	ga_s2bm_ard_3-2-1_55KDT_2018-12-30_final
2018-12-30 10:02:34	ga_s2bm_ard_3-2-1_55KCT_2018-12-30_final
2018-12-30 10:02:42	ga_s2bm_ard_3-2-1_55KES_2018-12-30_final
2018-12-30 10:02:45	ga_s2bm_ard_3-2-1_55KDS_2018-12-30_final
2018-12-30 10:02:49	ga_s2bm_ard_3-2-1_55KCS_2018-12-30_final
2018-12-30 10:02:55	ga_s2bm_ard_3-2-1_55KER_2018-12-30_final
2018-12-30 10:03:00	ga_s2bm_ard_3-2-1_55KDR_2018-12-30_final
2018-12-30 10:03:03	ga_s2bm_ard_3-2-1_55KCR_2018-12-30_final
2018-12-30 10:03:06	ga_s2bm_ard_3-2-1_55KEQ_2018-12-30_final
2018-12-30 10:03:06	ga_s2bm_ard_3-2-1_54KZA_2018-12-30_final
2018-12-30 10:03:18	ga_s2bm_ard_3-2-1_55KCQ_2018-12-30_final
2018-12-30 10:03:29	ga_s2bm_ard_3-2-1_55KDP_2018-12-30_final
2018-12-30 10:03:29	ga_s2bm_ard_3-2-1_54KYV_2018-12-30_final
2018-12-30 10:03:32	ga_s2bm_ard_3-2-1_55KCP_2018-12-30_final
2018-12-30 10:03:50	ga_s2bm_ard_3-2-1_54JZT_2018-12-30_final
2018-12-30 10:03:50	ga_s2bm_ard_3-2-1_55JBN_2018-12-30_final
2018-12-30 10:03:53	ga_s2bm_ard_3-2-1_54JYT_2018-12-30_final
2018-12-30 10:04:04	ga_s2bm_ard_3-2-1_54JZS_2018-12-30_final
2018-12-30 10:04:10	ga_s2bm_ard_3-2-1_55JDL_2018-12-30_final
2018-12-30 10:04:16	ga_s2bm_ard_3-2-1_55JCL_2018-12-30_final
2018-12-30 10:04:19	ga_s2bm_ard_3-2-1_55JBL_2018-12-30_final
2018-12-30 10:04:22	ga_s2bm_ard_3-2-1_54JYR_2018-12-30_final
2018-12-30 10:04:29	ga_s2bm_ard_3-2-1_54JXR_2018-12-30_final
2018-12-30 10:04:34	ga_s2bm_ard_3-2-1_55JBK_2018-12-30_final
2018-12-30 10:04:37	ga_s2bm_ard_3-2-1_54JYQ_2018-12-30_final
2018-12-30 10:04:45	ga_s2bm_ard_3-2-1_55JCJ_2018-12-30_final
2018-12-30 10:04:48	ga_s2bm_ard_3-2-1_55JBJ_2018-12-30_final
2018-12-30 10:04:51	ga_s2bm_ard_3-2-1_54JYP_2018-12-30_final
2018-12-30 10:04:54	ga_s2bm_ard_3-2-1_54JXP_2018-12-30_final
2018-12-30 10:05:03	ga_s2bm_ard_3-2-1_55JBH_2018-12-30_final
2018-12-30 10:05:06	ga_s2bm_ard_3-2-1_54JYN_2018-12-30_final
2018-12-30 10:05:17	ga_s2bm_ard_3-2-1_55JBG_2018-12-30_final
2018-12-30 10:05:20	ga_s2bm_ard_3-2-1_54JYM_2018-12-30_final
2018-12-30 10:05:26	ga_s2bm_ard_3-2-1_55JCF_2018-12-30_final
2018-12-30 10:05:30	ga_s2bm_ard_3-2-1_54JWM_2018-12-30_final
2018-12-30 10:05:38	ga_s2bm_ard_3-2-1_54JXL_2018-12-30_final
2018-12-30 10:05:46	ga_s2bm_ard_3-2-1_55HBE_2018-12-30_final
2018-12-30 10:05:49	ga_s2bm_ard_3-2-1_54HYK_2018-12-30_final
2018-12-30 10:05:56	ga_s2bm_ard_3-2-1_54HWK_2018-12-30_final
2018-12-30 10:06:30	ga_s2bm_ard_3-2-1_55HBB_2018-12-30_final
2018-12-30 10:06:32	ga_s2bm_ard_3-2-1_54HYG_2018-12-30_final
2018-12-30 10:06:36	ga_s2bm_ard_3-2-1_54HXG_2018-12-30_final
2018-12-30 10:06:40	ga_s2bm_ard_3-2-1_54HWG_2018-12-30_final
2018-12-30 10:06:43	ga_s2bm_ard_3-2-1_55HBA_2018-12-30_final
2018-12-30 10:06:43	ga_s2bm_ard_3-2-1_54HVG_2018-12-30_final
2018-12-30 10:06:47	ga_s2bm_ard_3-2-1_54HYF_2018-12-30_final
2018-12-30 10:06:50	ga_s2bm_ard_3-2-1_54HXF_2018-12-30_final
2018-12-30 10:07:05	ga_s2bm_ard_3-2-1_54HXE_2018-12-30_final
2018-12-30 10:07:09	ga_s2bm_ard_3-2-1_54HWE_2018-12-30_final
2018-12-30 10:07:19	ga_s2bm_ard_3-2-1_54HXD_2018-12-30_final
2018-12-30 10:07:23	ga_s2bm_ard_3-2-1_54HWD_2018-12-30_final
2018-12-30 10:07:27	ga_s2bm_ard_3-2-1_54HVD_2018-12-30_final
2018-12-30 10:07:32	ga_s2bm_ard_3-2-1_54HUD_2018-12-30_final.stac-item
2018-12-30 11:41:44	ga_s2bm_ard_3-2-1_51LUD_2018-12-30_final.stac-item
2018-12-30 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2018-12-30_final
2018-12-30 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2018-12-30_final
2018-12-30 11:43:33	ga_s2bm_ard_3-2-1_51KVR_2018-12-30_final
2018-12-30 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2018-12-30_final
2018-12-30 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2018-12-30_final
2018-12-30 11:43:59	ga_s2bm_ard_3-2-1_51KTQ_2018-12-30_final
2018-12-30 11:44:02	ga_s2bm_ard_3-2-1_50KQV_2018-12-30_final
2018-12-30 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2018-12-30_final
2018-12-30 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2018-12-30_final
2018-12-30 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2018-12-30_final
2018-12-30 11:44:31	ga_s2bm_ard_3-2-1_50JQT_2018-12-30_final
2018-12-30 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2018-12-30_final
2018-12-30 11:44:48	ga_s2bm_ard_3-2-1_51JUL_2018-12-30_final
2018-12-30 11:44:49	ga_s2bm_ard_3-2-1_50JPS_2018-12-30_final
2018-12-30 11:44:57	ga_s2bm_ard_3-2-1_51JTL_2018-12-30_final
2018-12-30 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2018-12-30_final
2018-12-30 11:45:04	ga_s2bm_ard_3-2-1_50JPR_2018-12-30_final
2018-12-30 11:45:08	ga_s2bm_ard_3-2-1_50JNR_2018-12-30_final
2018-12-30 11:45:11	ga_s2bm_ard_3-2-1_51JTK_2018-12-30_final
2018-12-30 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2018-12-30_final
2018-12-30 11:45:26	ga_s2bm_ard_3-2-1_51JTJ_2018-12-30_final
2018-12-30 11:45:29	ga_s2bm_ard_3-2-1_50JQP_2018-12-30_final
2018-12-30 11:45:33	ga_s2bm_ard_3-2-1_50JPP_2018-12-30_final
2018-12-30 11:45:36	ga_s2bm_ard_3-2-1_50JNP_2018-12-30_final
2018-12-30 11:45:40	ga_s2bm_ard_3-2-1_51JTH_2018-12-30_final
2018-12-30 11:45:43	ga_s2bm_ard_3-2-1_50JQN_2018-12-30_final
2018-12-30 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2018-12-30_final
2018-12-30 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2018-12-30_final
2018-12-30 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2018-12-30_final
2018-12-30 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2018-12-30_final
2018-12-30 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2018-12-30_final
2018-12-30 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2018-12-30_final
2018-12-30 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2018-12-30_final
2018-12-30 11:46:23	ga_s2bm_ard_3-2-1_50JML_2018-12-30_final
2018-12-30 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2018-12-30_final
2018-12-30 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2018-12-30_final
2018-12-30 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2018-12-30_final
2018-12-30 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2018-12-30_final.stac-item
2018-12-30 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2018-12-30_final.stac-item
2018-12-30 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2018-12-30_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