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
2021-12-23 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-12-23_final
2021-12-23 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2021-12-23_final
2021-12-23 12:14:26	ga_s2bm_ard_3-2-1_49JHN_2021-12-23_final
2021-12-23 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-23_final
2021-12-23 12:15:15	ga_s2bm_ard_3-2-1_49JGK_2021-12-23_final
2021-12-24 10:01:13	ga_s2bm_ard_3-2-1_55LEC_2021-12-24_final
2021-12-24 10:01:30	ga_s2bm_ard_3-2-1_55KDB_2021-12-24_final
2021-12-24 10:01:33	ga_s2bm_ard_3-2-1_55KCB_2021-12-24_final
2021-12-24 10:01:38	ga_s2bm_ard_3-2-1_55KFA_2021-12-24_final
2021-12-24 10:01:48	ga_s2bm_ard_3-2-1_55KCA_2021-12-24_final
2021-12-24 10:01:56	ga_s2bm_ard_3-2-1_55KEV_2021-12-24_final
2021-12-24 10:02:10	ga_s2bm_ard_3-2-1_55KBV_2021-12-24_final
2021-12-24 10:02:10	ga_s2bm_ard_3-2-1_55KEU_2021-12-24_final
2021-12-24 10:02:14	ga_s2bm_ard_3-2-1_55KDU_2021-12-24_final
2021-12-24 10:02:25	ga_s2bm_ard_3-2-1_55KET_2021-12-24_final
2021-12-24 10:02:29	ga_s2bm_ard_3-2-1_55KDT_2021-12-24_final
2021-12-24 10:02:32	ga_s2bm_ard_3-2-1_55KCT_2021-12-24_final
2021-12-24 10:02:49	ga_s2bm_ard_3-2-1_55KBS_2021-12-24_final
2021-12-24 10:02:50	ga_s2bm_ard_3-2-1_54KZB_2021-12-24_final
2021-12-24 10:03:01	ga_s2bm_ard_3-2-1_55KCR_2021-12-24_final
2021-12-24 10:03:04	ga_s2bm_ard_3-2-1_55KEQ_2021-12-24_final
2021-12-24 10:03:04	ga_s2bm_ard_3-2-1_54KZA_2021-12-24_final
2021-12-24 10:03:16	ga_s2bm_ard_3-2-1_55KCQ_2021-12-24_final
2021-12-24 10:03:27	ga_s2bm_ard_3-2-1_55KDP_2021-12-24_final
2021-12-24 10:04:17	ga_s2bm_ard_3-2-1_55JBL_2021-12-24_final
2021-12-24 10:04:20	ga_s2bm_ard_3-2-1_54JYR_2021-12-24_final
2021-12-24 10:04:27	ga_s2bm_ard_3-2-1_54JXR_2021-12-24_final
2021-12-24 10:04:28	ga_s2bm_ard_3-2-1_55JCK_2021-12-24_final
2021-12-24 10:04:35	ga_s2bm_ard_3-2-1_54JYQ_2021-12-24_final
2021-12-24 10:04:39	ga_s2bm_ard_3-2-1_54JXQ_2021-12-24_final
2021-12-24 10:04:46	ga_s2bm_ard_3-2-1_55JBJ_2021-12-24_final
2021-12-24 10:04:49	ga_s2bm_ard_3-2-1_54JYP_2021-12-24_final
2021-12-24 10:05:07	ga_s2bm_ard_3-2-1_54JXN_2021-12-24_final
2021-12-24 10:05:11	ga_s2bm_ard_3-2-1_55JCG_2021-12-24_final
2021-12-24 10:05:15	ga_s2bm_ard_3-2-1_55JBG_2021-12-24_final
2021-12-24 10:05:18	ga_s2bm_ard_3-2-1_54JYM_2021-12-24_final
2021-12-24 10:05:22	ga_s2bm_ard_3-2-1_54JXM_2021-12-24_final
2021-12-24 10:05:30	ga_s2bm_ard_3-2-1_55JBF_2021-12-24_final
2021-12-24 10:05:32	ga_s2bm_ard_3-2-1_54JYL_2021-12-24_final
2021-12-24 10:05:34	ga_s2bm_ard_3-2-1_55HCE_2021-12-24_final
2021-12-24 10:05:40	ga_s2bm_ard_3-2-1_54JWL_2021-12-24_final
2021-12-24 10:05:44	ga_s2bm_ard_3-2-1_55HBE_2021-12-24_final
2021-12-24 10:05:47	ga_s2bm_ard_3-2-1_54HYK_2021-12-24_final
2021-12-24 10:05:51	ga_s2bm_ard_3-2-1_54HXK_2021-12-24_final
2021-12-24 10:06:05	ga_s2bm_ard_3-2-1_54HXJ_2021-12-24_final
2021-12-24 10:06:09	ga_s2bm_ard_3-2-1_54HWJ_2021-12-24_final
2021-12-24 10:06:14	ga_s2bm_ard_3-2-1_54HXH_2021-12-24_final
2021-12-24 10:06:16	ga_s2bm_ard_3-2-1_54HWJ_2021-12-24_final
2021-12-24 10:06:21	ga_s2bm_ard_3-2-1_54HXH_2021-12-24_final
2021-12-24 10:06:28	ga_s2bm_ard_3-2-1_55HBB_2021-12-24_final
2021-12-24 10:06:30	ga_s2bm_ard_3-2-1_54HYG_2021-12-24_final
2021-12-24 10:06:38	ga_s2bm_ard_3-2-1_54HWG_2021-12-24_final
2021-12-24 10:07:32	ga_s2bm_ard_3-2-1_54HXC_2021-12-24_final
2021-12-24 10:07:36	ga_s2bm_ard_3-2-1_54HWC_2021-12-24_final
2021-12-24 10:07:39	ga_s2bm_ard_3-2-1_54HVC_2021-12-24_final.stac-item
2021-12-24 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2021-12-24_final
2021-12-24 11:41:50	ga_s2bm_ard_3-2-1_51LWC_2021-12-24_final
2021-12-24 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2021-12-24_final
2021-12-24 11:41:57	ga_s2bm_ard_3-2-1_51LUC_2021-12-24_final.stac-item
2021-12-24 11:42:26	ga_s2bm_ard_3-2-1_51KUA_2021-12-24_final
2021-12-24 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2021-12-24_final
2021-12-24 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2021-12-24_final
2021-12-24 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-12-24_final
2021-12-24 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2021-12-24_final
2021-12-24 11:43:27	ga_s2bm_ard_3-2-1_51KTS_2021-12-24_final
2021-12-24 11:43:28	ga_s2bm_ard_3-2-1_50KRB_2021-12-24_final
2021-12-24 11:43:31	ga_s2bm_ard_3-2-1_50KQB_2021-12-24_final
2021-12-24 11:43:39	ga_s2bm_ard_3-2-1_51KUR_2021-12-24_final
2021-12-24 11:43:42	ga_s2bm_ard_3-2-1_50KRA_2021-12-24_final
2021-12-24 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2021-12-24_final
2021-12-24 11:43:57	ga_s2bm_ard_3-2-1_50KRV_2021-12-24_final
2021-12-24 11:44:05	ga_s2bm_ard_3-2-1_50KPV_2021-12-24_final
2021-12-24 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2021-12-24_final
2021-12-24 11:44:55	ga_s2bm_ard_3-2-1_51JTL_2021-12-24_final
2021-12-24 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2021-12-24_final
2021-12-24 11:45:04	ga_s2bm_ard_3-2-1_51JTK_2021-12-24_final
2021-12-24 11:45:06	ga_s2bm_ard_3-2-1_50JQR_2021-12-24_final
2021-12-24 11:45:06	ga_s2bm_ard_3-2-1_50JQQ_2021-12-24_final
2021-12-24 11:45:07	ga_s2bm_ard_3-2-1_50JPQ_2021-12-24_final
2021-12-24 11:45:11	ga_s2bm_ard_3-2-1_51JTK_2021-12-24_final
2021-12-24 11:45:13	ga_s2bm_ard_3-2-1_50JQQ_2021-12-24_final
2021-12-24 11:45:16	ga_s2bm_ard_3-2-1_50JPQ_2021-12-24_final
2021-12-24 11:45:24	ga_s2bm_ard_3-2-1_51JTJ_2021-12-24_final
2021-12-24 11:45:27	ga_s2bm_ard_3-2-1_50JQP_2021-12-24_final
2021-12-24 11:45:45	ga_s2bm_ard_3-2-1_50JPN_2021-12-24_final
2021-12-24 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2021-12-24_final
2021-12-24 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2021-12-24_final
2021-12-24 11:45:56	ga_s2bm_ard_3-2-1_50JQM_2021-12-24_final
2021-12-24 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2021-12-24_final
2021-12-24 11:46:03	ga_s2bm_ard_3-2-1_51JTF_2021-12-24_final
2021-12-24 11:46:10	ga_s2bm_ard_3-2-1_50JQL_2021-12-24_final
2021-12-24 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2021-12-24_final
2021-12-24 11:46:21	ga_s2bm_ard_3-2-1_50JML_2021-12-24_final
2021-12-24 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-12-24_final
2021-12-24 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-12-24_final
2021-12-24 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2021-12-24_final
2021-12-24 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-12-24_final
2021-12-24 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2021-12-24_final
2021-12-24 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2021-12-24_final
2021-12-24 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-12-24_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