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:

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First 100 results (query limit)

Time (local)	Label
2023-01-21 11:52:52	ga_s2bm_ard_3-2-1_51KTU_2023-01-21_final.stac-item
2023-01-21 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2023-01-21_final.stac-item
2023-01-21 11:53:29	ga_s2bm_ard_3-2-1_50KQB_2023-01-21_final.stac-item
2023-01-21 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2023-01-21_final.stac-item
2023-01-21 11:54:20	ga_s2bm_ard_3-2-1_50KNU_2023-01-21_final.stac-item
2023-01-21 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2023-01-21_final.stac-item
2023-01-21 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2023-01-21_final.stac-item
2023-01-21 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2023-01-21_final.stac-item
2023-01-21 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-21_final.stac-item
2023-01-21 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2023-01-21_final.stac-item
2023-01-21 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2023-01-21_final.stac-item
2023-01-21 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2023-01-21_final.stac-item
2023-01-21 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2023-01-21_final.stac-item
2023-01-22 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2023-01-22_final.stac-item
2023-01-22 11:22:05	ga_s2bm_ard_3-2-1_51KZB_2023-01-22_final.stac-item
2023-01-22 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2023-01-22_final.stac-item
2023-01-22 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2023-01-22_final.stac-item
2023-01-22 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2023-01-22_final.stac-item
2023-01-22 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2023-01-22_final.stac-item
2023-01-22 11:26:05	ga_s2bm_ard_3-2-1_51JXF_2023-01-22_final.stac-item
2023-01-22 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2023-01-22_final.stac-item
2023-01-22 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2023-01-22_final.stac-item
2023-01-22 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2023-01-22_final.stac-item
2023-01-22 11:27:05	ga_s2bm_ard_3-2-1_51HTC_2023-01-22_final.stac-item
2023-01-23 10:53:46	ga_s2bm_ard_3-2-1_52KHV_2023-01-23_final.stac-item
2023-01-23 10:55:11	ga_s2bm_ard_3-2-1_52JGP_2023-01-23_final.stac-item
2023-01-23 10:55:25	ga_s2bm_ard_3-2-1_52JGN_2023-01-23_final.stac-item
2023-01-24 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2023-01-24_final.stac-item
2023-01-24 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2023-01-24_final.stac-item
2023-01-24 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2023-01-24_final.stac-item
2023-01-24 12:04:11	ga_s2bm_ard_3-2-1_50KKV_2023-01-24_final.stac-item
2023-01-24 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2023-01-24_final.stac-item
2023-01-24 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2023-01-24_final.stac-item
2023-01-24 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2023-01-24_final.stac-item
2023-01-24 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2023-01-24_final.stac-item
2023-01-24 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-01-24_final.stac-item
2023-01-24 12:06:12	ga_s2bm_ard_3-2-1_50JLL_2023-01-24_final.stac-item
2023-01-25 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2023-01-25_final.stac-item
2023-01-25 11:31:57	ga_s2bm_ard_3-2-1_51KZB_2023-01-25_final.stac-item
2023-01-25 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2023-01-25_final.stac-item
2023-01-25 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2023-01-25_final.stac-item
2023-01-25 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2023-01-25_final.stac-item
2023-01-25 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2023-01-25_final.stac-item
2023-01-25 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2023-01-25_final.stac-item
2023-01-25 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2023-01-25_final.stac-item
2023-01-25 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2023-01-25_final.stac-item
2023-01-25 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2023-01-25_final.stac-item
2023-01-25 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2023-01-25_final.stac-item
2023-01-25 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2023-01-25_final.stac-item
2023-01-25 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2023-01-25_final.stac-item
2023-01-25 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2023-01-25_final.stac-item
2023-01-25 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2023-01-25_final.stac-item
2023-01-25 11:35:02	ga_s2bm_ard_3-2-1_51JTL_2023-01-25_final.stac-item
2023-01-25 11:35:14	ga_s2bm_ard_3-2-1_51JUK_2023-01-25_final.stac-item
2023-01-25 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2023-01-25_final.stac-item
2023-01-25 11:35:28	ga_s2bm_ard_3-2-1_51JUJ_2023-01-25_final.stac-item
2023-01-25 11:35:39	ga_s2bm_ard_3-2-1_51JVH_2023-01-25_final.stac-item
2023-01-25 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2023-01-25_final.stac-item
2023-01-25 11:35:54	ga_s2bm_ard_3-2-1_51JVG_2023-01-25_final.stac-item
2023-01-25 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2023-01-25_final.stac-item
2023-01-25 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2023-01-25_final.stac-item
2023-01-25 11:36:21	ga_s2bm_ard_3-2-1_51HVE_2023-01-25_final.stac-item
2023-01-25 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2023-01-25_final.stac-item
2023-01-25 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2023-01-25_final.stac-item
2023-01-25 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2023-01-25_final.stac-item
2023-01-25 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-01-25_final.stac-item
2023-01-25 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-01-25_final.stac-item
2023-01-25 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2023-01-25_final.stac-item
2023-01-25 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-01-25_final.stac-item
2023-01-26 11:00:28	ga_s2bm_ard_3-2-1_52LHN_2023-01-26_final.stac-item
2023-01-26 11:00:35	ga_s2bm_ard_3-2-1_52LGN_2023-01-26_final.stac-item
2023-01-26 11:01:41	ga_s2bm_ard_3-2-1_52LHH_2023-01-26_final.stac-item
2023-01-26 11:01:44	ga_s2bm_ard_3-2-1_52LGH_2023-01-26_final.stac-item
2023-01-26 11:01:48	ga_s2bm_ard_3-2-1_52LFH_2023-01-26_final.stac-item
2023-01-26 11:01:53	ga_s2bm_ard_3-2-1_52KHG_2023-01-26_final.stac-item
2023-01-26 11:01:59	ga_s2bm_ard_3-2-1_52KHG_2023-01-26_final.stac-item
2023-01-26 11:02:16	ga_s2bm_ard_3-2-1_52KFF_2023-01-26_final.stac-item
2023-01-26 11:02:31	ga_s2bm_ard_3-2-1_52KFE_2023-01-26_final.stac-item
2023-01-26 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2023-01-26_final.stac-item
2023-01-26 11:02:50	ga_s2bm_ard_3-2-1_52KED_2023-01-26_final.stac-item
2023-01-26 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2023-01-26_final.stac-item
2023-01-26 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-01-26_final.stac-item
2023-01-26 11:03:11	ga_s2bm_ard_3-2-1_52KGB_2023-01-26_final.stac-item
2023-01-26 11:03:20	ga_s2bm_ard_3-2-1_52KHA_2023-01-26_final.stac-item
2023-01-26 11:03:31	ga_s2bm_ard_3-2-1_52KHV_2023-01-26_final.stac-item
2023-01-26 11:04:04	ga_s2bm_ard_3-2-1_52KDU_2023-01-26_final.stac-item
2023-01-26 11:04:34	ga_s2bm_ard_3-2-1_52JDS_2023-01-26_final.stac-item
2023-01-26 11:04:41	ga_s2bm_ard_3-2-1_52JFR_2023-01-26_final.stac-item
2023-01-26 11:04:45	ga_s2bm_ard_3-2-1_52JER_2023-01-26_final.stac-item
2023-01-26 11:04:48	ga_s2bm_ard_3-2-1_52JDR_2023-01-26_final.stac-item
2023-01-26 11:04:56	ga_s2bm_ard_3-2-1_52JFQ_2023-01-26_final.stac-item
2023-01-26 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2023-01-26_final.stac-item
2023-01-26 11:05:08	ga_s2bm_ard_3-2-1_52JEQ_2023-01-26_final.stac-item
2023-01-26 11:05:08	ga_s2bm_ard_3-2-1_52JEP_2023-01-26_final.stac-item
2023-01-26 11:05:15	ga_s2bm_ard_3-2-1_52JEP_2023-01-26_final.stac-item
2023-01-26 11:05:32	ga_s2bm_ard_3-2-1_52JDN_2023-01-26_final.stac-item
2023-01-26 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2023-01-26_final.stac-item
2023-01-26 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2023-01-26_final.stac-item
2023-01-26 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2023-01-26_final.stac-item
2023-01-26 11:06:22	ga_s2bm_ard_3-2-1_52HBK_2023-01-26_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

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