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
2020-12-18 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-12-18_final
2020-12-18 12:14:36	ga_s2bm_ard_3-2-1_49JFN_2020-12-18_final
2020-12-18 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2020-12-18_final
2020-12-19 10:01:20	ga_s2bm_ard_3-2-1_55LCC_2020-12-19_final
2020-12-19 10:01:38	ga_s2bm_ard_3-2-1_55KFA_2020-12-19_final
2020-12-19 10:01:49	ga_s2bm_ard_3-2-1_55KCA_2020-12-19_final
2020-12-19 10:02:01	ga_s2bm_ard_3-2-1_55KFU_2020-12-19_final
2020-12-19 10:02:04	ga_s2bm_ard_3-2-1_55KCV_2020-12-19_final
2020-12-19 10:02:11	ga_s2bm_ard_3-2-1_55KBV_2020-12-19_final
2020-12-19 10:02:22	ga_s2bm_ard_3-2-1_55KBU_2020-12-19_final
2020-12-19 10:02:26	ga_s2bm_ard_3-2-1_55KET_2020-12-19_final
2020-12-19 10:02:29	ga_s2bm_ard_3-2-1_55KDT_2020-12-19_final
2020-12-19 10:02:35	ga_s2bm_ard_3-2-1_55KBT_2020-12-19_final
2020-12-19 10:02:37	ga_s2bm_ard_3-2-1_54KZC_2020-12-19_final
2020-12-19 10:02:50	ga_s2bm_ard_3-2-1_55KBS_2020-12-19_final
2020-12-19 10:02:50	ga_s2bm_ard_3-2-1_54KZB_2020-12-19_final
2020-12-19 10:03:05	ga_s2bm_ard_3-2-1_55KEQ_2020-12-19_final
2020-12-19 10:03:13	ga_s2bm_ard_3-2-1_55KDQ_2020-12-19_final
2020-12-19 10:03:16	ga_s2bm_ard_3-2-1_55KCQ_2020-12-19_final
2020-12-19 10:03:20	ga_s2bm_ard_3-2-1_54KZV_2020-12-19_final
2020-12-19 10:03:27	ga_s2bm_ard_3-2-1_55KDP_2020-12-19_final
2020-12-19 10:03:42	ga_s2bm_ard_3-2-1_55JDN_2020-12-19_final
2020-12-19 10:03:45	ga_s2bm_ard_3-2-1_55JCN_2020-12-19_final
2020-12-19 10:03:49	ga_s2bm_ard_3-2-1_55JBN_2020-12-19_final
2020-12-19 10:04:00	ga_s2bm_ard_3-2-1_55JCM_2020-12-19_final
2020-12-19 10:04:03	ga_s2bm_ard_3-2-1_54JZS_2020-12-19_final
2020-12-19 10:04:09	ga_s2bm_ard_3-2-1_55JDL_2020-12-19_final
2020-12-19 10:04:19	ga_s2bm_ard_3-2-1_55JDK_2020-12-19_final
2020-12-19 10:04:29	ga_s2bm_ard_3-2-1_55JCK_2020-12-19_final
2020-12-19 10:04:39	ga_s2bm_ard_3-2-1_54JXQ_2020-12-19_final
2020-12-19 10:04:58	ga_s2bm_ard_3-2-1_55JCH_2020-12-19_final
2020-12-19 10:05:01	ga_s2bm_ard_3-2-1_55JBH_2020-12-19_final
2020-12-19 10:05:04	ga_s2bm_ard_3-2-1_54JYN_2020-12-19_final
2020-12-19 10:05:08	ga_s2bm_ard_3-2-1_54JXN_2020-12-19_final
2020-12-19 10:05:12	ga_s2bm_ard_3-2-1_55JCG_2020-12-19_final
2020-12-19 10:05:22	ga_s2bm_ard_3-2-1_54JXM_2020-12-19_final
2020-12-19 10:05:29	ga_s2bm_ard_3-2-1_54JWM_2020-12-19_final
2020-12-19 10:05:30	ga_s2bm_ard_3-2-1_55JBF_2020-12-19_final
2020-12-19 10:05:33	ga_s2bm_ard_3-2-1_54JYL_2020-12-19_final
2020-12-19 10:05:51	ga_s2bm_ard_3-2-1_54HXK_2020-12-19_final
2020-12-19 10:06:06	ga_s2bm_ard_3-2-1_54HXJ_2020-12-19_final
2020-12-19 10:06:08	ga_s2bm_ard_3-2-1_54HWJ_2020-12-19_final
2020-12-19 10:06:11	ga_s2bm_ard_3-2-1_55HBC_2020-12-19_final
2020-12-19 10:06:13	ga_s2bm_ard_3-2-1_54HXJ_2020-12-19_final
2020-12-19 10:06:13	ga_s2bm_ard_3-2-1_54HXH_2020-12-19_final
2020-12-19 10:06:15	ga_s2bm_ard_3-2-1_54HWJ_2020-12-19_final
2020-12-19 10:06:17	ga_s2bm_ard_3-2-1_55HBC_2020-12-19_final
2020-12-19 10:06:20	ga_s2bm_ard_3-2-1_54HXH_2020-12-19_final
2020-12-19 10:06:28	ga_s2bm_ard_3-2-1_55HBB_2020-12-19_final
2020-12-19 10:06:30	ga_s2bm_ard_3-2-1_54HVH_2020-12-19_final
2020-12-19 10:06:35	ga_s2bm_ard_3-2-1_54HXG_2020-12-19_final
2020-12-19 10:06:45	ga_s2bm_ard_3-2-1_54HYF_2020-12-19_final
2020-12-19 10:07:32	ga_s2bm_ard_3-2-1_54HXC_2020-12-19_final
2020-12-19 10:07:36	ga_s2bm_ard_3-2-1_54HWC_2020-12-19_final
2020-12-19 10:07:40	ga_s2bm_ard_3-2-1_54HVC_2020-12-19_final.stac-item
2020-12-19 11:40:53	ga_s2bm_ard_3-2-1_51LWG_2020-12-19_final.stac-item
2020-12-19 11:40:56	ga_s2bm_ard_3-2-1_51LVG_2020-12-19_final
2020-12-19 11:41:11	ga_s2bm_ard_3-2-1_51LVF_2020-12-19_final
2020-12-19 11:41:14	ga_s2bm_ard_3-2-1_51LUF_2020-12-19_final
2020-12-19 11:42:27	ga_s2bm_ard_3-2-1_51KUA_2020-12-19_final
2020-12-19 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2020-12-19_final
2020-12-19 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2020-12-19_final
2020-12-19 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2020-12-19_final
2020-12-19 11:43:05	ga_s2bm_ard_3-2-1_50KQD_2020-12-19_final.stac-item
2020-12-19 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2020-12-19_final
2020-12-19 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2020-12-19_final
2020-12-19 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2020-12-19_final
2020-12-19 11:43:17	ga_s2bm_ard_3-2-1_50KQC_2020-12-19_final
2020-12-19 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2020-12-19_final
2020-12-19 11:43:28	ga_s2bm_ard_3-2-1_51KTS_2020-12-19_final
2020-12-19 11:43:29	ga_s2bm_ard_3-2-1_50KRB_2020-12-19_final
2020-12-19 11:43:32	ga_s2bm_ard_3-2-1_50KQB_2020-12-19_final
2020-12-19 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2020-12-19_final
2020-12-19 11:43:58	ga_s2bm_ard_3-2-1_50KRV_2020-12-19_final
2020-12-19 11:44:06	ga_s2bm_ard_3-2-1_50KPV_2020-12-19_final
2020-12-19 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2020-12-19_final
2020-12-19 11:44:27	ga_s2bm_ard_3-2-1_51JTN_2020-12-19_final
2020-12-19 11:44:33	ga_s2bm_ard_3-2-1_50JPT_2020-12-19_final
2020-12-19 11:44:36	ga_s2bm_ard_3-2-1_51JUM_2020-12-19_final
2020-12-19 11:44:41	ga_s2bm_ard_3-2-1_50JRS_2020-12-19_final
2020-12-19 11:45:07	ga_s2bm_ard_3-2-1_50JNR_2020-12-19_final
2020-12-19 11:45:17	ga_s2bm_ard_3-2-1_50JPQ_2020-12-19_final
2020-12-19 11:45:20	ga_s2bm_ard_3-2-1_50JNQ_2020-12-19_final
2020-12-19 11:45:32	ga_s2bm_ard_3-2-1_50JPP_2020-12-19_final
2020-12-19 11:45:35	ga_s2bm_ard_3-2-1_50JNP_2020-12-19_final
2020-12-19 11:45:39	ga_s2bm_ard_3-2-1_51JTH_2020-12-19_final
2020-12-19 11:45:42	ga_s2bm_ard_3-2-1_50JQN_2020-12-19_final
2020-12-19 11:45:46	ga_s2bm_ard_3-2-1_50JPN_2020-12-19_final
2020-12-19 11:46:01	ga_s2bm_ard_3-2-1_50JPM_2020-12-19_final
2020-12-19 11:46:03	ga_s2bm_ard_3-2-1_51JTF_2020-12-19_final
2020-12-19 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2020-12-19_final
2020-12-19 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2020-12-19_final
2020-12-19 11:46:11	ga_s2bm_ard_3-2-1_50JQL_2020-12-19_final
2020-12-19 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2020-12-19_final
2020-12-19 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2020-12-19_final
2020-12-19 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2020-12-19_final
2020-12-19 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2020-12-19_final
2020-12-19 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2020-12-19_final
2020-12-19 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-12-19_final
2020-12-19 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2020-12-19_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