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
2020-12-16 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2020-12-16_final
2020-12-16 11:37:08	ga_s2bm_ard_3-2-1_51HUB_2020-12-16_final.stac-item
2020-12-16 11:37:11	ga_s2bm_ard_3-2-1_51HTB_2020-12-16_final.stac-item
2020-12-16 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2020-12-16_final.stac-item
2020-12-16 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2020-12-16_final.stac-item
2020-12-16 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2020-12-16_final.stac-item
2020-12-17 09:23:35	ga_s2bm_ard_3-2-1_56JNT_2020-12-16_final
2020-12-17 09:24:05	ga_s2bm_ard_3-2-1_56JNR_2020-12-16_final.stac-item
2020-12-17 09:24:19	ga_s2bm_ard_3-2-1_56JNQ_2020-12-16_final.stac-item
2020-12-17 09:24:24	ga_s2bm_ard_3-2-1_56JMQ_2020-12-16_final
2020-12-17 09:24:34	ga_s2bm_ard_3-2-1_56JNP_2020-12-16_final.stac-item
2020-12-17 09:24:37	ga_s2bm_ard_3-2-1_56JMP_2020-12-16_final
2020-12-17 09:24:48	ga_s2bm_ard_3-2-1_56JNN_2020-12-16_final
2020-12-17 09:24:51	ga_s2bm_ard_3-2-1_56JMN_2020-12-16_final
2020-12-17 09:25:03	ga_s2bm_ard_3-2-1_56JNM_2020-12-16_final
2020-12-17 09:25:06	ga_s2bm_ard_3-2-1_56JMM_2020-12-16_final
2020-12-17 09:25:17	ga_s2bm_ard_3-2-1_56JNL_2020-12-16_final
2020-12-17 09:25:21	ga_s2bm_ard_3-2-1_56JML_2020-12-16_final
2020-12-17 09:25:25	ga_s2bm_ard_3-2-1_56JLL_2020-12-16_final
2020-12-17 09:25:35	ga_s2bm_ard_3-2-1_56HMK_2020-12-16_final
2020-12-17 09:25:38	ga_s2bm_ard_3-2-1_56HLK_2020-12-16_final
2020-12-17 09:25:50	ga_s2bm_ard_3-2-1_56HMJ_2020-12-16_final
2020-12-17 09:25:53	ga_s2bm_ard_3-2-1_56HLJ_2020-12-16_final
2020-12-17 09:26:08	ga_s2bm_ard_3-2-1_56HLH_2020-12-16_final.stac-item
2020-12-17 09:26:22	ga_s2bm_ard_3-2-1_56HLG_2020-12-16_final.stac-item
2020-12-17 09:26:40	ga_s2bm_ard_3-2-1_56HKF_2020-12-16_final
2020-12-17 09:26:57	ga_s2bm_ard_3-2-1_55HGV_2020-12-16_final
2020-12-17 09:27:10	ga_s2bm_ard_3-2-1_55HGU_2020-12-16_final.stac-item
2020-12-17 09:27:45	ga_s2bm_ard_3-2-1_55HFS_2020-12-16_final.stac-item
2020-12-17 09:27:57	ga_s2bm_ard_3-2-1_55GFR_2020-12-16_final
2020-12-17 09:28:12	ga_s2bm_ard_3-2-1_55GFQ_2020-12-16_final
2020-12-17 09:28:26	ga_s2bm_ard_3-2-1_55GFP_2020-12-16_final
2020-12-17 09:28:34	ga_s2bm_ard_3-2-1_55GEP_2020-12-16_final
2020-12-17 09:28:40	ga_s2bm_ard_3-2-1_55GFN_2020-12-16_final
2020-12-17 09:28:45	ga_s2bm_ard_3-2-1_55GEN_2020-12-16_final
2020-12-17 09:28:56	ga_s2bm_ard_3-2-1_55GEM_2020-12-16_final.stac-item
2020-12-17 11:00:18	ga_s2bm_ard_3-2-1_53LMH_2020-12-17_final.stac-item
2020-12-17 11:00:24	ga_s2bm_ard_3-2-1_53LKH_2020-12-17_final
2020-12-17 11:00:26	ga_s2bm_ard_3-2-1_52LHN_2020-12-17_final
2020-12-17 11:00:33	ga_s2bm_ard_3-2-1_52LGN_2020-12-17_final
2020-12-17 11:00:50	ga_s2bm_ard_3-2-1_53LLF_2020-12-17_final
2020-12-17 11:00:53	ga_s2bm_ard_3-2-1_53LKF_2020-12-17_final
2020-12-17 11:00:55	ga_s2bm_ard_3-2-1_52LHL_2020-12-17_final
2020-12-17 11:01:08	ga_s2bm_ard_3-2-1_53LKE_2020-12-17_final
2020-12-17 11:01:09	ga_s2bm_ard_3-2-1_52LHK_2020-12-17_final
2020-12-17 11:01:13	ga_s2bm_ard_3-2-1_52LGK_2020-12-17_final
2020-12-17 11:01:34	ga_s2bm_ard_3-2-1_53LLC_2020-12-17_final
2020-12-17 11:01:37	ga_s2bm_ard_3-2-1_53LKC_2020-12-17_final
2020-12-17 11:01:38	ga_s2bm_ard_3-2-1_52LHH_2020-12-17_final
2020-12-17 11:01:42	ga_s2bm_ard_3-2-1_52LGH_2020-12-17_final
2020-12-17 11:01:46	ga_s2bm_ard_3-2-1_52LFH_2020-12-17_final
2020-12-17 11:01:47	ga_s2bm_ard_3-2-1_53KLB_2020-12-17_final
2020-12-17 11:01:51	ga_s2bm_ard_3-2-1_53KKB_2020-12-17_final
2020-12-17 11:01:53	ga_s2bm_ard_3-2-1_52KHG_2020-12-17_final
2020-12-17 11:01:56	ga_s2bm_ard_3-2-1_52KGG_2020-12-17_final
2020-12-17 11:01:59	ga_s2bm_ard_3-2-1_52KFG_2020-12-17_final
2020-12-17 11:02:06	ga_s2bm_ard_3-2-1_53KKA_2020-12-17_final
2020-12-17 11:02:07	ga_s2bm_ard_3-2-1_52KHF_2020-12-17_final
2020-12-17 11:02:11	ga_s2bm_ard_3-2-1_52KGF_2020-12-17_final
2020-12-17 11:02:14	ga_s2bm_ard_3-2-1_52KFF_2020-12-17_final
2020-12-17 11:02:36	ga_s2bm_ard_3-2-1_52KHD_2020-12-17_final
2020-12-17 11:02:43	ga_s2bm_ard_3-2-1_52KFD_2020-12-17_final
2020-12-17 11:02:47	ga_s2bm_ard_3-2-1_52KED_2020-12-17_final
2020-12-17 11:02:50	ga_s2bm_ard_3-2-1_52KHC_2020-12-17_final
2020-12-17 11:03:05	ga_s2bm_ard_3-2-1_52KHB_2020-12-17_final
2020-12-17 11:03:15	ga_s2bm_ard_3-2-1_52KEB_2020-12-17_final
2020-12-17 11:03:18	ga_s2bm_ard_3-2-1_52KHA_2020-12-17_final
2020-12-17 11:03:30	ga_s2bm_ard_3-2-1_52KEA_2020-12-17_final
2020-12-17 11:04:06	ga_s2bm_ard_3-2-1_52JGT_2020-12-17_final
2020-12-17 11:04:10	ga_s2bm_ard_3-2-1_52JFT_2020-12-17_final
2020-12-17 11:04:17	ga_s2bm_ard_3-2-1_52JDT_2020-12-17_final
2020-12-17 11:04:24	ga_s2bm_ard_3-2-1_52JFS_2020-12-17_final
2020-12-17 11:04:31	ga_s2bm_ard_3-2-1_52JGR_2020-12-17_final
2020-12-17 11:04:39	ga_s2bm_ard_3-2-1_52JFR_2020-12-17_final
2020-12-17 11:04:43	ga_s2bm_ard_3-2-1_52JER_2020-12-17_final
2020-12-17 11:04:46	ga_s2bm_ard_3-2-1_52JDR_2020-12-17_final
2020-12-17 11:04:50	ga_s2bm_ard_3-2-1_52JFQ_2020-12-17_final
2020-12-17 11:04:51	ga_s2bm_ard_3-2-1_52JCR_2020-12-17_final
2020-12-17 11:04:53	ga_s2bm_ard_3-2-1_52JEQ_2020-12-17_final
2020-12-17 11:04:54	ga_s2bm_ard_3-2-1_52JDR_2020-12-17_final
2020-12-17 11:04:54	ga_s2bm_ard_3-2-1_52JDQ_2020-12-17_final
2020-12-17 11:04:55	ga_s2bm_ard_3-2-1_52JCR_2020-12-17_final
2020-12-17 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2020-12-17_final
2020-12-17 11:05:01	ga_s2bm_ard_3-2-1_52JDQ_2020-12-17_final
2020-12-17 11:05:08	ga_s2bm_ard_3-2-1_52JFP_2020-12-17_final
2020-12-17 11:05:12	ga_s2bm_ard_3-2-1_52JEP_2020-12-17_final
2020-12-17 11:05:15	ga_s2bm_ard_3-2-1_52JDP_2020-12-17_final
2020-12-17 11:05:18	ga_s2bm_ard_3-2-1_52JCP_2020-12-17_final
2020-12-17 11:05:22	ga_s2bm_ard_3-2-1_52JFN_2020-12-17_final
2020-12-17 11:05:26	ga_s2bm_ard_3-2-1_52JEN_2020-12-17_final
2020-12-17 11:05:30	ga_s2bm_ard_3-2-1_52JDN_2020-12-17_final
2020-12-17 11:05:40	ga_s2bm_ard_3-2-1_52JEM_2020-12-17_final
2020-12-17 11:05:44	ga_s2bm_ard_3-2-1_52JDM_2020-12-17_final
2020-12-17 11:05:48	ga_s2bm_ard_3-2-1_52JCM_2020-12-17_final
2020-12-17 11:05:54	ga_s2bm_ard_3-2-1_52JBM_2020-12-17_final
2020-12-17 11:05:55	ga_s2bm_ard_3-2-1_52JEL_2020-12-17_final
2020-12-17 11:05:59	ga_s2bm_ard_3-2-1_52JDL_2020-12-17_final
2020-12-17 11:06:02	ga_s2bm_ard_3-2-1_52JCL_2020-12-17_final
2020-12-17 11:06:06	ga_s2bm_ard_3-2-1_52JBL_2020-12-17_final
2020-12-17 11:06:13	ga_s2bm_ard_3-2-1_52HDK_2020-12-17_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