Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2020-09-06 11:14:06	ga_s2am_ard_3-2-1_52KDU_2020-09-06_final.stac-item
2020-11-01 11:36:24	ga_s2am_ard_3-2-1_51JTF_2020-11-01_final.stac-item
2020-11-03 10:36:51	ga_s2am_ard_3-2-1_53HPB_2020-11-03_final.stac-item
2020-11-09 10:50:46	ga_s2am_ard_3-2-1_53LMG_2020-11-09_final.stac-item
2020-11-11 11:32:36	ga_s2am_ard_3-2-1_51KVA_2020-11-11_final.stac-item
2020-11-12 11:05:56	ga_s2am_ard_3-2-1_52JCM_2020-11-12_final.stac-item
2020-11-12 11:06:14	ga_s2am_ard_3-2-1_52JBL_2020-11-12_final.stac-item
2020-11-15 11:16:09	ga_s2am_ard_3-2-1_52JBL_2020-11-15_final.stac-item
2020-11-17 10:13:22	ga_s2am_ard_3-2-1_54KZV_2020-11-17_final.stac-item
2020-11-22 11:06:08	ga_s2am_ard_3-2-1_52JCL_2020-11-22_final.stac-item
2020-11-29 10:54:34	ga_s2am_ard_3-2-1_52JFS_2020-11-29_final.stac-item
2020-12-01 09:57:21	ga_s2am_ard_3-2-1_55HBU_2020-12-01_final.stac-item
2020-12-01 09:57:22	ga_s2am_ard_3-2-1_54HYD_2020-12-01_final.stac-item
2020-12-01 09:57:47	ga_s2am_ard_3-2-1_55HCS_2020-12-01_final.stac-item
2020-12-01 11:31:24	ga_s2am_ard_3-2-1_51LYE_2020-12-01_final.stac-item
2020-12-01 11:32:00	ga_s2am_ard_3-2-1_51LWC_2020-12-01_final.stac-item
2020-12-01 11:32:11	ga_s2am_ard_3-2-1_51KXB_2020-12-01_final.stac-item
2020-12-01 11:32:32	ga_s2am_ard_3-2-1_51KVA_2020-12-01_final.stac-item
2020-12-01 11:36:17	ga_s2am_ard_3-2-1_51JTF_2020-12-01_final.stac-item
2020-12-01 11:36:33	ga_s2am_ard_3-2-1_51HVD_2020-12-01_final.stac-item
2020-12-02 09:28:15	ga_s2am_ard_3-2-1_55GFQ_2020-12-01_final.stac-item
2020-12-02 11:00:39	ga_s2am_ard_3-2-1_53LLG_2020-12-02_final.stac-item
2020-12-02 11:01:23	ga_s2am_ard_3-2-1_53LLD_2020-12-02_final.stac-item
2020-12-03 10:30:17	ga_s2am_ard_3-2-1_54LXM_2020-12-03_final.stac-item
2020-12-03 12:13:53	ga_s2am_ard_3-2-1_50KKA_2020-12-03_final.stac-item
2020-12-03 12:13:57	ga_s2am_ard_3-2-1_49KGR_2020-12-03_final.stac-item
2020-12-04 10:02:53	ga_s2am_ard_3-2-1_54KZB_2020-12-04_final.stac-item
2020-12-04 10:07:39	ga_s2am_ard_3-2-1_54HWC_2020-12-04_final.stac-item
2020-12-04 11:41:54	ga_s2am_ard_3-2-1_51LWC_2020-12-04_final.stac-item
2020-12-04 11:42:26	ga_s2am_ard_3-2-1_51KVA_2020-12-04_final.stac-item
2020-12-04 11:42:41	ga_s2am_ard_3-2-1_51KVV_2020-12-04_final.stac-item
2020-12-04 11:42:44	ga_s2am_ard_3-2-1_51KUV_2020-12-04_final.stac-item
2020-12-04 11:45:59	ga_s2am_ard_3-2-1_50JQM_2020-12-04_final.stac-item
2020-12-04 11:46:39	ga_s2am_ard_3-2-1_50HMK_2020-12-04_final.stac-item
2020-12-04 11:47:08	ga_s2am_ard_3-2-1_50HMH_2020-12-04_final.stac-item
2020-12-05 09:38:04	ga_s2am_ard_3-2-1_55GDR_2020-12-05_final.stac-item
2020-12-05 09:38:11	ga_s2am_ard_3-2-1_55GFQ_2020-12-05_final.stac-item
2020-12-05 09:38:18	ga_s2am_ard_3-2-1_55GDQ_2020-12-05_final.stac-item
2020-12-05 09:38:39	ga_s2am_ard_3-2-1_55GCP_2020-12-05_final.stac-item
2020-12-05 09:38:39	ga_s2am_ard_3-2-1_55GFN_2020-12-05_final.stac-item
2020-12-05 11:10:23	ga_s2am_ard_3-2-1_52LHN_2020-12-05_final.stac-item
2020-12-05 11:11:35	ga_s2am_ard_3-2-1_52LDJ_2020-12-05_final.stac-item
2020-12-05 11:16:39	ga_s2am_ard_3-2-1_51HXD_2020-12-05_final.stac-item
2020-12-08 09:48:13	ga_s2am_ard_3-2-1_55GDQ_2020-12-08_final.stac-item
2020-12-08 11:25:54	ga_s2am_ard_3-2-1_51JWG_2020-12-08_final.stac-item
2020-12-08 11:26:44	ga_s2am_ard_3-2-1_51HUD_2020-12-08_final.stac-item
2020-12-09 10:51:25	ga_s2am_ard_3-2-1_53LLD_2020-12-09_final.stac-item
2020-12-11 09:57:18	ga_s2am_ard_3-2-1_54HYD_2020-12-11_final.stac-item
2020-12-11 09:57:32	ga_s2am_ard_3-2-1_55HBT_2020-12-11_final.stac-item
2020-12-11 11:31:21	ga_s2am_ard_3-2-1_51LYE_2020-12-11_final.stac-item
2020-12-11 11:31:35	ga_s2am_ard_3-2-1_51LYD_2020-12-11_final.stac-item
2020-12-11 11:32:40	ga_s2am_ard_3-2-1_51KWV_2020-12-11_final.stac-item
2020-12-11 11:32:43	ga_s2am_ard_3-2-1_51KVV_2020-12-11_final.stac-item
2020-12-11 11:35:52	ga_s2am_ard_3-2-1_51JVG_2020-12-11_final.stac-item
2020-12-11 11:36:23	ga_s2am_ard_3-2-1_50JPL_2020-12-11_final.stac-item
2020-12-11 11:36:39	ga_s2am_ard_3-2-1_51HUD_2020-12-11_final.stac-item
2020-12-11 11:36:43	ga_s2am_ard_3-2-1_51HTD_2020-12-11_final.stac-item
2020-12-11 11:36:57	ga_s2am_ard_3-2-1_51HTC_2020-12-11_final.stac-item
2020-12-11 11:37:03	ga_s2am_ard_3-2-1_50HPH_2020-12-11_final.stac-item
2020-12-12 09:27:58	ga_s2am_ard_3-2-1_55GFR_2020-12-11_final.stac-item
2020-12-12 11:00:27	ga_s2am_ard_3-2-1_52LHN_2020-12-12_final.stac-item
2020-12-12 11:01:20	ga_s2am_ard_3-2-1_53LLD_2020-12-12_final.stac-item
2020-12-14 10:07:38	ga_s2am_ard_3-2-1_54HWC_2020-12-14_final.stac-item
2020-12-14 11:41:52	ga_s2am_ard_3-2-1_51LWC_2020-12-14_final.stac-item
2020-12-14 11:42:39	ga_s2am_ard_3-2-1_51KVV_2020-12-14_final.stac-item
2020-12-14 11:42:43	ga_s2am_ard_3-2-1_51KUV_2020-12-14_final.stac-item
2020-12-14 11:46:05	ga_s2am_ard_3-2-1_51JTF_2020-12-14_final.stac-item
2020-12-14 11:46:20	ga_s2am_ard_3-2-1_50JNL_2020-12-14_final.stac-item
2020-12-14 11:46:59	ga_s2am_ard_3-2-1_50HPH_2020-12-14_final.stac-item
2020-12-14 11:47:07	ga_s2am_ard_3-2-1_50HMH_2020-12-14_final.stac-item
2020-12-15 09:38:38	ga_s2am_ard_3-2-1_55GFN_2020-12-15_final.stac-item
2020-12-18 09:47:27	ga_s2am_ard_3-2-1_55HBU_2020-12-18_final.stac-item
2020-12-18 11:21:30	ga_s2am_ard_3-2-1_52LDJ_2020-12-18_final.stac-item
2020-12-19 10:50:40	ga_s2am_ard_3-2-1_53LMG_2020-12-19_final.stac-item
2020-12-19 10:51:27	ga_s2am_ard_3-2-1_53LLD_2020-12-19_final.stac-item
2020-12-20 12:04:26	ga_s2am_ard_3-2-1_50KKU_2020-12-20_final.stac-item
2020-12-21 09:57:20	ga_s2am_ard_3-2-1_55HBU_2020-12-21_final.stac-item
2020-12-21 11:36:16	ga_s2am_ard_3-2-1_51JTF_2020-12-21_final.stac-item
2020-12-22 09:28:00	ga_s2am_ard_3-2-1_55GFR_2020-12-21_final.stac-item
2020-12-22 09:28:15	ga_s2am_ard_3-2-1_55GFQ_2020-12-21_final.stac-item
2020-12-22 09:28:43	ga_s2am_ard_3-2-1_55GFN_2020-12-21_final.stac-item
2020-12-22 11:00:35	ga_s2am_ard_3-2-1_53LMG_2020-12-22_final.stac-item
2020-12-23 10:35:08	ga_s2am_ard_3-2-1_53JNJ_2020-12-23_final.stac-item
2020-12-24 10:06:34	ga_s2am_ard_3-2-1_54HYG_2020-12-24_final.stac-item
2020-12-24 11:46:18	ga_s2am_ard_3-2-1_50JPL_2020-12-24_final.stac-item
2020-12-24 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2020-12-24_final.stac-item
2020-12-24 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2020-12-24_final.stac-item
2020-12-25 09:38:39	ga_s2am_ard_3-2-1_55GCP_2020-12-25_final.stac-item
2020-12-25 09:38:40	ga_s2am_ard_3-2-1_55GFN_2020-12-25_final.stac-item
2020-12-25 11:10:24	ga_s2am_ard_3-2-1_52LHN_2020-12-25_final.stac-item
2020-12-25 11:11:12	ga_s2am_ard_3-2-1_52LGK_2020-12-25_final.stac-item
2020-12-25 11:11:36	ga_s2am_ard_3-2-1_52LDJ_2020-12-25_final.stac-item
2020-12-25 11:16:40	ga_s2am_ard_3-2-1_51HXD_2020-12-25_final.stac-item
2020-12-27 11:56:22	ga_s2am_ard_3-2-1_50JML_2020-12-27_final.stac-item
2020-12-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2020-12-27_final.stac-item
2020-12-28 11:21:32	ga_s2am_ard_3-2-1_52LDJ_2020-12-28_final.stac-item
2020-12-28 11:26:40	ga_s2am_ard_3-2-1_51HWD_2020-12-28_final.stac-item
2020-12-28 11:27:07	ga_s2am_ard_3-2-1_51HTC_2020-12-28_final.stac-item
2020-12-31 09:56:57	ga_s2am_ard_3-2-1_54HXF_2020-12-31_final.stac-item
2020-12-31 09:57:22	ga_s2am_ard_3-2-1_54HYD_2020-12-31_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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