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
2021-06-16 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-16_final
2021-06-16 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-06-16_final
2021-06-16 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-16_final
2021-06-17 10:01:43	ga_s2bm_ard_3-2-1_55KFA_2021-06-17_final
2021-06-17 10:02:38	ga_s2bm_ard_3-2-1_55KCT_2021-06-17_final
2021-06-17 10:02:46	ga_s2bm_ard_3-2-1_55KES_2021-06-17_final
2021-06-17 10:02:49	ga_s2bm_ard_3-2-1_55KDS_2021-06-17_final
2021-06-17 10:02:52	ga_s2bm_ard_3-2-1_55KCS_2021-06-17_final
2021-06-17 10:02:59	ga_s2bm_ard_3-2-1_55KER_2021-06-17_final
2021-06-17 10:03:03	ga_s2bm_ard_3-2-1_55KDR_2021-06-17_final
2021-06-17 10:03:25	ga_s2bm_ard_3-2-1_54KZV_2021-06-17_final
2021-06-17 10:03:47	ga_s2bm_ard_3-2-1_55JDN_2021-06-17_final
2021-06-17 10:03:54	ga_s2bm_ard_3-2-1_55JBN_2021-06-17_final
2021-06-17 10:03:57	ga_s2bm_ard_3-2-1_54JYT_2021-06-17_final
2021-06-17 10:04:05	ga_s2bm_ard_3-2-1_55JCM_2021-06-17_final
2021-06-17 10:04:14	ga_s2bm_ard_3-2-1_55JDL_2021-06-17_final
2021-06-17 10:04:23	ga_s2bm_ard_3-2-1_55JBL_2021-06-17_final
2021-06-17 10:04:26	ga_s2bm_ard_3-2-1_54JYR_2021-06-17_final
2021-06-17 10:04:34	ga_s2bm_ard_3-2-1_55JCK_2021-06-17_final
2021-06-17 10:04:44	ga_s2bm_ard_3-2-1_54JXQ_2021-06-17_final
2021-06-17 10:04:49	ga_s2bm_ard_3-2-1_55JCJ_2021-06-17_final
2021-06-17 10:04:58	ga_s2bm_ard_3-2-1_54JXP_2021-06-17_final
2021-06-17 10:05:03	ga_s2bm_ard_3-2-1_55JCH_2021-06-17_final
2021-06-17 10:05:07	ga_s2bm_ard_3-2-1_55JBH_2021-06-17_final
2021-06-17 10:05:09	ga_s2bm_ard_3-2-1_54JYN_2021-06-17_final
2021-06-17 10:05:13	ga_s2bm_ard_3-2-1_54JXN_2021-06-17_final
2021-06-17 10:05:21	ga_s2bm_ard_3-2-1_55JBG_2021-06-17_final
2021-06-17 10:05:24	ga_s2bm_ard_3-2-1_54JYM_2021-06-17_final
2021-06-17 10:05:34	ga_s2bm_ard_3-2-1_54JWM_2021-06-17_final
2021-06-17 10:05:35	ga_s2bm_ard_3-2-1_55JBF_2021-06-17_final
2021-06-17 10:05:38	ga_s2bm_ard_3-2-1_54JYL_2021-06-17_final
2021-06-17 10:05:40	ga_s2bm_ard_3-2-1_55HCE_2021-06-17_final
2021-06-17 10:05:42	ga_s2bm_ard_3-2-1_54JXL_2021-06-17_final
2021-06-17 10:05:56	ga_s2bm_ard_3-2-1_54HXK_2021-06-17_final
2021-06-17 10:06:05	ga_s2bm_ard_3-2-1_55HBD_2021-06-17_final
2021-06-17 10:06:07	ga_s2bm_ard_3-2-1_54HYJ_2021-06-17_final
2021-06-17 10:06:11	ga_s2bm_ard_3-2-1_54HXJ_2021-06-17_final
2021-06-17 10:06:20	ga_s2bm_ard_3-2-1_55HBC_2021-06-17_final
2021-06-17 10:06:21	ga_s2bm_ard_3-2-1_54HYH_2021-06-17_final
2021-06-17 10:06:31	ga_s2bm_ard_3-2-1_55HBB_2021-06-17_final
2021-06-17 10:06:32	ga_s2bm_ard_3-2-1_54HYG_2021-06-17_final
2021-06-17 10:06:35	ga_s2bm_ard_3-2-1_54HXG_2021-06-17_final
2021-06-17 10:06:38	ga_s2bm_ard_3-2-1_55HBB_2021-06-17_final
2021-06-17 10:06:39	ga_s2bm_ard_3-2-1_54HYG_2021-06-17_final
2021-06-17 10:06:41	ga_s2bm_ard_3-2-1_54HXG_2021-06-17_final
2021-06-17 10:06:46	ga_s2bm_ard_3-2-1_55HBA_2021-06-17_final
2021-06-17 10:06:50	ga_s2bm_ard_3-2-1_54HYF_2021-06-17_final
2021-06-17 10:06:54	ga_s2bm_ard_3-2-1_54HXF_2021-06-17_final
2021-06-17 10:06:58	ga_s2bm_ard_3-2-1_54HWF_2021-06-17_final
2021-06-17 10:07:01	ga_s2bm_ard_3-2-1_54HVF_2021-06-17_final
2021-06-17 10:07:09	ga_s2bm_ard_3-2-1_54HXE_2021-06-17_final
2021-06-17 10:07:12	ga_s2bm_ard_3-2-1_54HWE_2021-06-17_final
2021-06-17 10:07:15	ga_s2bm_ard_3-2-1_54HYD_2021-06-17_final
2021-06-17 10:07:16	ga_s2bm_ard_3-2-1_54HVE_2021-06-17_final
2021-06-17 10:07:23	ga_s2bm_ard_3-2-1_54HXD_2021-06-17_final
2021-06-17 10:07:27	ga_s2bm_ard_3-2-1_54HWD_2021-06-17_final
2021-06-17 10:07:31	ga_s2bm_ard_3-2-1_54HVD_2021-06-17_final
2021-06-17 10:07:36	ga_s2bm_ard_3-2-1_54HUD_2021-06-17_final.stac-item
2021-06-17 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2021-06-17_final
2021-06-17 11:42:32	ga_s2bm_ard_3-2-1_51KUA_2021-06-17_final
2021-06-17 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2021-06-17_final
2021-06-17 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2021-06-17_final
2021-06-17 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2021-06-17_final
2021-06-17 11:43:37	ga_s2bm_ard_3-2-1_51KVR_2021-06-17_final
2021-06-17 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2021-06-17_final
2021-06-17 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2021-06-17_final
2021-06-17 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2021-06-17_final
2021-06-17 11:44:41	ga_s2bm_ard_3-2-1_51JUM_2021-06-17_final
2021-06-17 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2021-06-17_final
2021-06-17 11:45:00	ga_s2bm_ard_3-2-1_51JTL_2021-06-17_final
2021-06-17 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2021-06-17_final
2021-06-17 11:45:12	ga_s2bm_ard_3-2-1_50JNR_2021-06-17_final
2021-06-17 11:45:22	ga_s2bm_ard_3-2-1_50JPQ_2021-06-17_final
2021-06-17 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2021-06-17_final
2021-06-17 11:45:37	ga_s2bm_ard_3-2-1_50JPP_2021-06-17_final
2021-06-17 11:45:40	ga_s2bm_ard_3-2-1_50JNP_2021-06-17_final
2021-06-17 11:45:44	ga_s2bm_ard_3-2-1_51JTH_2021-06-17_final
2021-06-17 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2021-06-17_final
2021-06-17 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2021-06-17_final
2021-06-17 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2021-06-17_final
2021-06-17 11:45:56	ga_s2bm_ard_3-2-1_51JTG_2021-06-17_final
2021-06-17 11:46:02	ga_s2bm_ard_3-2-1_50JNM_2021-06-17_final
2021-06-17 11:46:02	ga_s2bm_ard_3-2-1_50JNN_2021-06-17_final
2021-06-17 11:46:03	ga_s2bm_ard_3-2-1_51JTG_2021-06-17_final
2021-06-17 11:46:08	ga_s2bm_ard_3-2-1_51JTF_2021-06-17_final
2021-06-17 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2021-06-17_final
2021-06-17 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2021-06-17_final
2021-06-17 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2021-06-17_final
2021-06-17 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2021-06-17_final
2021-06-17 11:46:27	ga_s2bm_ard_3-2-1_50JML_2021-06-17_final
2021-06-17 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-06-17_final
2021-06-17 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-17_final
2021-06-17 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-06-17_final
2021-06-17 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-06-17_final
2021-06-17 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-17_final
2021-06-17 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-06-17_final
2021-06-17 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-06-17_final
2021-06-17 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2021-06-17_final
2021-06-17 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-06-17_final
2021-06-17 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-06-17_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