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
2022-05-10 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2022-05-10_final
2022-05-10 11:35:01	ga_s2bm_ard_3-2-1_51JTL_2022-05-10_final
2022-05-10 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2022-05-10_final
2022-05-10 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2022-05-10_final
2022-05-10 11:35:16	ga_s2bm_ard_3-2-1_51JTK_2022-05-10_final
2022-05-10 11:35:16	ga_s2bm_ard_3-2-1_51JWJ_2022-05-10_final
2022-05-10 11:35:24	ga_s2bm_ard_3-2-1_51JVJ_2022-05-10_final
2022-05-10 11:35:27	ga_s2bm_ard_3-2-1_51JUJ_2022-05-10_final
2022-05-10 11:35:31	ga_s2bm_ard_3-2-1_51JTJ_2022-05-10_final
2022-05-10 11:35:34	ga_s2bm_ard_3-2-1_50JQP_2022-05-10_final
2022-05-10 11:35:38	ga_s2bm_ard_3-2-1_51JVH_2022-05-10_final
2022-05-10 11:35:45	ga_s2bm_ard_3-2-1_51JTH_2022-05-10_final
2022-05-10 11:35:48	ga_s2bm_ard_3-2-1_50JQN_2022-05-10_final
2022-05-10 11:35:53	ga_s2bm_ard_3-2-1_51JVG_2022-05-10_final
2022-05-10 11:35:57	ga_s2bm_ard_3-2-1_51JUG_2022-05-10_final
2022-05-10 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2022-05-10_final
2022-05-10 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2022-05-10_final
2022-05-10 11:36:11	ga_s2bm_ard_3-2-1_51JUF_2022-05-10_final
2022-05-10 11:36:21	ga_s2bm_ard_3-2-1_51HVE_2022-05-10_final
2022-05-10 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2022-05-10_final
2022-05-10 11:36:26	ga_s2bm_ard_3-2-1_51HUE_2022-05-10_final
2022-05-10 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2022-05-10_final
2022-05-10 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2022-05-10_final
2022-05-10 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2022-05-10_final
2022-05-10 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2022-05-10_final
2022-05-10 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-05-10_final
2022-05-10 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2022-05-10_final.stac-item
2022-05-10 11:37:13	ga_s2bm_ard_3-2-1_51HTB_2022-05-10_final.stac-item
2022-05-10 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2022-05-10_final.stac-item
2022-05-10 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2022-05-10_final.stac-item
2022-05-10 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2022-05-10_final.stac-item
2022-05-11 09:24:07	ga_s2bm_ard_3-2-1_56JNR_2022-05-10_final.stac-item
2022-05-11 09:24:21	ga_s2bm_ard_3-2-1_56JNQ_2022-05-10_final.stac-item
2022-05-11 09:24:26	ga_s2bm_ard_3-2-1_56JMQ_2022-05-10_final
2022-05-11 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2022-05-10_final.stac-item
2022-05-11 09:24:39	ga_s2bm_ard_3-2-1_56JMP_2022-05-10_final
2022-05-11 09:24:50	ga_s2bm_ard_3-2-1_56JNN_2022-05-10_final
2022-05-11 09:24:53	ga_s2bm_ard_3-2-1_56JMN_2022-05-10_final
2022-05-11 09:25:05	ga_s2bm_ard_3-2-1_56JNM_2022-05-10_final
2022-05-11 09:25:08	ga_s2bm_ard_3-2-1_56JMM_2022-05-10_final
2022-05-11 09:25:27	ga_s2bm_ard_3-2-1_56JLL_2022-05-10_final
2022-05-11 09:25:37	ga_s2bm_ard_3-2-1_56HMK_2022-05-10_final
2022-05-11 09:25:40	ga_s2bm_ard_3-2-1_56HLK_2022-05-10_final
2022-05-11 09:26:10	ga_s2bm_ard_3-2-1_56HLH_2022-05-10_final.stac-item
2022-05-11 09:26:24	ga_s2bm_ard_3-2-1_56HLG_2022-05-10_final.stac-item
2022-05-11 09:26:42	ga_s2bm_ard_3-2-1_56HKF_2022-05-10_final
2022-05-11 09:27:12	ga_s2bm_ard_3-2-1_55HGU_2022-05-10_final.stac-item
2022-05-11 09:27:47	ga_s2bm_ard_3-2-1_55HFS_2022-05-10_final.stac-item
2022-05-11 09:27:59	ga_s2bm_ard_3-2-1_55GFR_2022-05-10_final
2022-05-11 09:28:42	ga_s2bm_ard_3-2-1_55GFN_2022-05-10_final
2022-05-11 09:28:58	ga_s2bm_ard_3-2-1_55GEM_2022-05-10_final.stac-item
2022-05-11 11:00:12	ga_s2bm_ard_3-2-1_53LKJ_2022-05-11_final.stac-item
2022-05-11 11:00:20	ga_s2bm_ard_3-2-1_53LMH_2022-05-11_final.stac-item
2022-05-11 11:00:23	ga_s2bm_ard_3-2-1_53LLH_2022-05-11_final.stac-item
2022-05-11 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2022-05-11_final
2022-05-11 11:01:11	ga_s2bm_ard_3-2-1_52LHK_2022-05-11_final
2022-05-11 11:01:15	ga_s2bm_ard_3-2-1_52LGK_2022-05-11_final
2022-05-11 11:01:36	ga_s2bm_ard_3-2-1_53LLC_2022-05-11_final
2022-05-11 11:01:48	ga_s2bm_ard_3-2-1_52LFH_2022-05-11_final
2022-05-11 11:01:55	ga_s2bm_ard_3-2-1_52KHG_2022-05-11_final
2022-05-11 11:02:22	ga_s2bm_ard_3-2-1_53KKV_2022-05-11_final
2022-05-11 11:02:27	ga_s2bm_ard_3-2-1_52KGE_2022-05-11_final
2022-05-11 11:02:31	ga_s2bm_ard_3-2-1_52KFE_2022-05-11_final
2022-05-11 11:02:45	ga_s2bm_ard_3-2-1_52KFD_2022-05-11_final
2022-05-11 11:02:49	ga_s2bm_ard_3-2-1_52KED_2022-05-11_final
2022-05-11 11:02:59	ga_s2bm_ard_3-2-1_52KFC_2022-05-11_final
2022-05-11 11:03:05	ga_s2bm_ard_3-2-1_53KKS_2022-05-11_final
2022-05-11 11:03:11	ga_s2bm_ard_3-2-1_52KGB_2022-05-11_final
2022-05-11 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2022-05-11_final
2022-05-11 11:03:16	ga_s2bm_ard_3-2-1_53KKR_2022-05-11_final
2022-05-11 11:03:43	ga_s2bm_ard_3-2-1_52KFV_2022-05-11_final
2022-05-11 11:03:54	ga_s2bm_ard_3-2-1_52KGU_2022-05-11_final
2022-05-11 11:03:58	ga_s2bm_ard_3-2-1_52KFU_2022-05-11_final
2022-05-11 11:04:01	ga_s2bm_ard_3-2-1_52KEU_2022-05-11_final
2022-05-11 11:04:09	ga_s2bm_ard_3-2-1_52KEU_2022-05-11_final
2022-05-11 11:04:22	ga_s2bm_ard_3-2-1_52JGS_2022-05-11_final
2022-05-11 11:04:30	ga_s2bm_ard_3-2-1_52JES_2022-05-11_final
2022-05-11 11:04:33	ga_s2bm_ard_3-2-1_52JGR_2022-05-11_final
2022-05-11 11:04:41	ga_s2bm_ard_3-2-1_52JFR_2022-05-11_final
2022-05-11 11:04:45	ga_s2bm_ard_3-2-1_52JER_2022-05-11_final
2022-05-11 11:04:48	ga_s2bm_ard_3-2-1_52JDR_2022-05-11_final
2022-05-11 11:04:53	ga_s2bm_ard_3-2-1_52JCR_2022-05-11_final
2022-05-11 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2022-05-11_final
2022-05-11 11:05:02	ga_s2bm_ard_3-2-1_52JDQ_2022-05-11_final
2022-05-11 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2022-05-11_final
2022-05-11 11:05:14	ga_s2bm_ard_3-2-1_52JEP_2022-05-11_final
2022-05-11 11:05:17	ga_s2bm_ard_3-2-1_52JDP_2022-05-11_final
2022-05-11 11:05:20	ga_s2bm_ard_3-2-1_52JCP_2022-05-11_final
2022-05-11 11:05:28	ga_s2bm_ard_3-2-1_52JEN_2022-05-11_final
2022-05-11 11:05:32	ga_s2bm_ard_3-2-1_52JDN_2022-05-11_final
2022-05-11 11:05:35	ga_s2bm_ard_3-2-1_52JCN_2022-05-11_final
2022-05-11 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2022-05-11_final
2022-05-11 11:05:42	ga_s2bm_ard_3-2-1_52JEM_2022-05-11_final
2022-05-11 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2022-05-11_final
2022-05-11 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2022-05-11_final
2022-05-11 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2022-05-11_final
2022-05-11 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2022-05-11_final
2022-05-11 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2022-05-11_final
2022-05-11 11:06:15	ga_s2bm_ard_3-2-1_52HDK_2022-05-11_final.stac-item
2022-05-11 11:06:19	ga_s2bm_ard_3-2-1_52HCK_2022-05-11_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

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