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
2021-07-16 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-16_final
2021-07-16 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2021-07-16_final
2021-07-16 12:15:05	ga_s2bm_ard_3-2-1_49JFM_2021-07-16_final
2021-07-16 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-16_final
2021-07-16 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2021-07-16_final
2021-07-17 10:01:16	ga_s2bm_ard_3-2-1_55LFC_2021-07-17_final
2021-07-17 10:01:20	ga_s2bm_ard_3-2-1_55LEC_2021-07-17_final
2021-07-17 10:01:26	ga_s2bm_ard_3-2-1_55LCC_2021-07-17_final
2021-07-17 10:01:34	ga_s2bm_ard_3-2-1_55KEB_2021-07-17_final
2021-07-17 10:01:37	ga_s2bm_ard_3-2-1_55KDB_2021-07-17_final
2021-07-17 10:01:45	ga_s2bm_ard_3-2-1_55KFA_2021-07-17_final
2021-07-17 10:01:52	ga_s2bm_ard_3-2-1_55KDA_2021-07-17_final
2021-07-17 10:01:55	ga_s2bm_ard_3-2-1_55KCA_2021-07-17_final
2021-07-17 10:02:03	ga_s2bm_ard_3-2-1_55KEV_2021-07-17_final
2021-07-17 10:02:06	ga_s2bm_ard_3-2-1_55KDV_2021-07-17_final
2021-07-17 10:02:07	ga_s2bm_ard_3-2-1_55KFU_2021-07-17_final
2021-07-17 10:02:10	ga_s2bm_ard_3-2-1_55KCV_2021-07-17_final
2021-07-17 10:02:17	ga_s2bm_ard_3-2-1_55KBV_2021-07-17_final
2021-07-17 10:02:17	ga_s2bm_ard_3-2-1_55KEU_2021-07-17_final
2021-07-17 10:02:21	ga_s2bm_ard_3-2-1_55KDU_2021-07-17_final
2021-07-17 10:02:24	ga_s2bm_ard_3-2-1_55KCU_2021-07-17_final
2021-07-17 10:02:57	ga_s2bm_ard_3-2-1_54KZB_2021-07-17_final
2021-07-17 10:03:11	ga_s2bm_ard_3-2-1_55KEQ_2021-07-17_final
2021-07-17 10:03:19	ga_s2bm_ard_3-2-1_55KDQ_2021-07-17_final
2021-07-17 10:03:26	ga_s2bm_ard_3-2-1_55KBQ_2021-07-17_final
2021-07-17 10:03:33	ga_s2bm_ard_3-2-1_55KDP_2021-07-17_final
2021-07-17 10:03:48	ga_s2bm_ard_3-2-1_55JDN_2021-07-17_final
2021-07-17 10:03:55	ga_s2bm_ard_3-2-1_55JBN_2021-07-17_final
2021-07-17 10:03:58	ga_s2bm_ard_3-2-1_54JYT_2021-07-17_final
2021-07-17 10:04:06	ga_s2bm_ard_3-2-1_55JCM_2021-07-17_final
2021-07-17 10:04:24	ga_s2bm_ard_3-2-1_55JBL_2021-07-17_final
2021-07-17 10:04:27	ga_s2bm_ard_3-2-1_54JYR_2021-07-17_final
2021-07-17 10:04:35	ga_s2bm_ard_3-2-1_55JCK_2021-07-17_final
2021-07-17 10:04:39	ga_s2bm_ard_3-2-1_55JBK_2021-07-17_final
2021-07-17 10:04:42	ga_s2bm_ard_3-2-1_54JYQ_2021-07-17_final
2021-07-17 10:04:46	ga_s2bm_ard_3-2-1_54JXQ_2021-07-17_final
2021-07-17 10:04:53	ga_s2bm_ard_3-2-1_55JBJ_2021-07-17_final
2021-07-17 10:04:56	ga_s2bm_ard_3-2-1_54JYP_2021-07-17_final
2021-07-17 10:05:04	ga_s2bm_ard_3-2-1_55JCH_2021-07-17_final
2021-07-17 10:05:14	ga_s2bm_ard_3-2-1_54JXN_2021-07-17_final
2021-07-17 10:05:18	ga_s2bm_ard_3-2-1_55JCG_2021-07-17_final
2021-07-17 10:05:22	ga_s2bm_ard_3-2-1_55JBG_2021-07-17_final
2021-07-17 10:05:25	ga_s2bm_ard_3-2-1_54JYM_2021-07-17_final
2021-07-17 10:05:29	ga_s2bm_ard_3-2-1_54JXM_2021-07-17_final
2021-07-17 10:05:37	ga_s2bm_ard_3-2-1_55JBF_2021-07-17_final
2021-07-17 10:05:39	ga_s2bm_ard_3-2-1_54JYL_2021-07-17_final
2021-07-17 10:05:41	ga_s2bm_ard_3-2-1_55HCE_2021-07-17_final
2021-07-17 10:05:58	ga_s2bm_ard_3-2-1_54HXK_2021-07-17_final
2021-07-17 10:06:12	ga_s2bm_ard_3-2-1_54HXJ_2021-07-17_final
2021-07-17 10:06:16	ga_s2bm_ard_3-2-1_54HWJ_2021-07-17_final
2021-07-17 10:06:21	ga_s2bm_ard_3-2-1_55HBC_2021-07-17_final
2021-07-17 10:06:26	ga_s2bm_ard_3-2-1_54HXH_2021-07-17_final
2021-07-17 10:07:02	ga_s2bm_ard_3-2-1_54HVF_2021-07-17_final
2021-07-17 10:07:38	ga_s2bm_ard_3-2-1_54HXC_2021-07-17_final
2021-07-17 10:07:42	ga_s2bm_ard_3-2-1_54HWC_2021-07-17_final
2021-07-17 10:07:46	ga_s2bm_ard_3-2-1_54HVC_2021-07-17_final.stac-item
2021-07-17 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2021-07-17_final
2021-07-17 11:42:01	ga_s2bm_ard_3-2-1_51LVC_2021-07-17_final
2021-07-17 11:42:04	ga_s2bm_ard_3-2-1_51LUC_2021-07-17_final.stac-item
2021-07-17 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2021-07-17_final
2021-07-17 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2021-07-17_final
2021-07-17 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2021-07-17_final
2021-07-17 11:42:33	ga_s2bm_ard_3-2-1_51KUA_2021-07-17_final
2021-07-17 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2021-07-17_final
2021-07-17 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2021-07-17_final
2021-07-17 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2021-07-17_final
2021-07-17 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2021-07-17_final
2021-07-17 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2021-07-17_final
2021-07-17 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2021-07-17_final
2021-07-17 11:44:04	ga_s2bm_ard_3-2-1_51KTQ_2021-07-17_final
2021-07-17 11:44:04	ga_s2bm_ard_3-2-1_50KRV_2021-07-17_final
2021-07-17 11:44:33	ga_s2bm_ard_3-2-1_51JTN_2021-07-17_final
2021-07-17 11:44:36	ga_s2bm_ard_3-2-1_50JQT_2021-07-17_final
2021-07-17 11:44:42	ga_s2bm_ard_3-2-1_51JUM_2021-07-17_final
2021-07-17 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2021-07-17_final
2021-07-17 11:45:02	ga_s2bm_ard_3-2-1_51JTL_2021-07-17_final
2021-07-17 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2021-07-17_final
2021-07-17 11:45:09	ga_s2bm_ard_3-2-1_50JPR_2021-07-17_final
2021-07-17 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2021-07-17_final
2021-07-17 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2021-07-17_final
2021-07-17 11:45:31	ga_s2bm_ard_3-2-1_51JTJ_2021-07-17_final
2021-07-17 11:45:34	ga_s2bm_ard_3-2-1_50JQP_2021-07-17_final
2021-07-17 11:45:52	ga_s2bm_ard_3-2-1_50JPN_2021-07-17_final
2021-07-17 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2021-07-17_final
2021-07-17 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2021-07-17_final
2021-07-17 11:46:00	ga_s2bm_ard_3-2-1_50JQM_2021-07-17_final
2021-07-17 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2021-07-17_final
2021-07-17 11:46:03	ga_s2bm_ard_3-2-1_50JNN_2021-07-17_final
2021-07-17 11:46:04	ga_s2bm_ard_3-2-1_51JTG_2021-07-17_final
2021-07-17 11:46:06	ga_s2bm_ard_3-2-1_50JQM_2021-07-17_final
2021-07-17 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2021-07-17_final
2021-07-17 11:46:09	ga_s2bm_ard_3-2-1_51JTF_2021-07-17_final
2021-07-17 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2021-07-17_final
2021-07-17 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2021-07-17_final
2021-07-17 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2021-07-17_final
2021-07-17 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2021-07-17_final
2021-07-17 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2021-07-17_final
2021-07-17 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2021-07-17_final
2021-07-17 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-07-17_final
2021-07-17 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-17_final

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