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
2020-01-09 11:44:40	ga_s2am_ard_3-2-1_51JTM_2020-01-09_final.stac-item
2020-01-09 11:44:43	ga_s2am_ard_3-2-1_50JQS_2020-01-09_final.stac-item
2020-01-09 11:44:46	ga_s2am_ard_3-2-1_51JUL_2020-01-09_final.stac-item
2020-01-09 11:44:47	ga_s2am_ard_3-2-1_50JPS_2020-01-09_final.stac-item
2020-01-09 11:44:54	ga_s2am_ard_3-2-1_51JTL_2020-01-09_final.stac-item
2020-01-09 11:44:58	ga_s2am_ard_3-2-1_50JQR_2020-01-09_final.stac-item
2020-01-09 11:45:01	ga_s2am_ard_3-2-1_50JPR_2020-01-09_final.stac-item
2020-01-09 11:45:06	ga_s2am_ard_3-2-1_50JNR_2020-01-09_final.stac-item
2020-01-09 11:45:09	ga_s2am_ard_3-2-1_51JTK_2020-01-09_final.stac-item
2020-01-09 11:45:12	ga_s2am_ard_3-2-1_50JQQ_2020-01-09_final.stac-item
2020-01-09 11:45:16	ga_s2am_ard_3-2-1_50JPQ_2020-01-09_final.stac-item
2020-01-09 11:45:19	ga_s2am_ard_3-2-1_50JNQ_2020-01-09_final.stac-item
2020-01-09 11:45:23	ga_s2am_ard_3-2-1_51JTJ_2020-01-09_final.stac-item
2020-01-09 11:45:26	ga_s2am_ard_3-2-1_50JQP_2020-01-09_final.stac-item
2020-01-09 11:45:30	ga_s2am_ard_3-2-1_50JPP_2020-01-09_final.stac-item
2020-01-09 11:45:34	ga_s2am_ard_3-2-1_50JNP_2020-01-09_final.stac-item
2020-01-09 11:45:38	ga_s2am_ard_3-2-1_51JTH_2020-01-09_final.stac-item
2020-01-09 11:45:41	ga_s2am_ard_3-2-1_50JQN_2020-01-09_final.stac-item
2020-01-09 11:45:45	ga_s2am_ard_3-2-1_50JPN_2020-01-09_final.stac-item
2020-01-09 11:45:48	ga_s2am_ard_3-2-1_50JNN_2020-01-09_final.stac-item
2020-01-09 11:45:51	ga_s2am_ard_3-2-1_51JTG_2020-01-09_final.stac-item
2020-01-10 09:34:23	ga_s2am_ard_3-2-1_56JKQ_2020-01-10_final.stac-item
2020-01-10 09:34:31	ga_s2am_ard_3-2-1_56JMP_2020-01-10_final.stac-item
2020-01-10 09:34:35	ga_s2am_ard_3-2-1_56JLP_2020-01-10_final.stac-item
2020-01-10 09:34:38	ga_s2am_ard_3-2-1_56JKP_2020-01-10_final.stac-item
2020-01-10 09:34:38	ga_s2am_ard_3-2-1_56JNN_2020-01-10_final.stac-item
2020-01-10 09:34:45	ga_s2am_ard_3-2-1_55JGJ_2020-01-10_final.stac-item
2020-01-10 09:34:46	ga_s2am_ard_3-2-1_56JMN_2020-01-10_final.stac-item
2020-01-10 09:34:50	ga_s2am_ard_3-2-1_56JLN_2020-01-10_final.stac-item
2020-01-10 09:34:53	ga_s2am_ard_3-2-1_56JKN_2020-01-10_final.stac-item
2020-01-10 09:34:56	ga_s2am_ard_3-2-1_55JGH_2020-01-10_final.stac-item
2020-01-10 09:35:00	ga_s2am_ard_3-2-1_56JMM_2020-01-10_final.stac-item
2020-01-10 09:35:04	ga_s2am_ard_3-2-1_56JLM_2020-01-10_final.stac-item
2020-01-10 09:35:07	ga_s2am_ard_3-2-1_56JKM_2020-01-10_final.stac-item
2020-01-10 09:35:09	ga_s2am_ard_3-2-1_55JGG_2020-01-10_final.stac-item
2020-01-10 09:35:15	ga_s2am_ard_3-2-1_56JML_2020-01-10_final.stac-item
2020-01-10 09:35:19	ga_s2am_ard_3-2-1_56JLL_2020-01-10_final.stac-item
2020-01-10 09:35:22	ga_s2am_ard_3-2-1_56JKL_2020-01-10_final.stac-item
2020-01-10 09:35:24	ga_s2am_ard_3-2-1_55JGF_2020-01-10_final.stac-item
2020-01-10 09:35:30	ga_s2am_ard_3-2-1_56HMK_2020-01-10_final.stac-item
2020-01-10 09:35:33	ga_s2am_ard_3-2-1_56HLK_2020-01-10_final.stac-item
2020-01-10 09:35:36	ga_s2am_ard_3-2-1_56HKK_2020-01-10_final.stac-item
2020-01-10 09:35:39	ga_s2am_ard_3-2-1_55HGE_2020-01-10_final.stac-item
2020-01-10 09:35:43	ga_s2am_ard_3-2-1_56HMJ_2020-01-10_final.stac-item
2020-01-10 09:35:45	ga_s2am_ard_3-2-1_55HFE_2020-01-10_final.stac-item
2020-01-10 09:35:48	ga_s2am_ard_3-2-1_56HLJ_2020-01-10_final.stac-item
2020-01-10 09:35:51	ga_s2am_ard_3-2-1_56HKJ_2020-01-10_final.stac-item
2020-01-10 09:35:53	ga_s2am_ard_3-2-1_55HGD_2020-01-10_final.stac-item
2020-01-10 09:35:57	ga_s2am_ard_3-2-1_55HFD_2020-01-10_final.stac-item
2020-01-10 09:36:06	ga_s2am_ard_3-2-1_56HKH_2020-01-10_final.stac-item
2020-01-10 09:36:07	ga_s2am_ard_3-2-1_55HGC_2020-01-10_final.stac-item
2020-01-10 09:36:11	ga_s2am_ard_3-2-1_55HFC_2020-01-10_final.stac-item
2020-01-10 09:36:20	ga_s2am_ard_3-2-1_56HKG_2020-01-10_final.stac-item
2020-01-10 09:36:22	ga_s2am_ard_3-2-1_55HGB_2020-01-10_final.stac-item
2020-01-10 09:36:26	ga_s2am_ard_3-2-1_55HFB_2020-01-10_final.stac-item
2020-01-10 09:36:35	ga_s2am_ard_3-2-1_56HKF_2020-01-10_final.stac-item
2020-01-10 09:36:36	ga_s2am_ard_3-2-1_55HGA_2020-01-10_final.stac-item
2020-01-10 09:36:40	ga_s2am_ard_3-2-1_55HFA_2020-01-10_final.stac-item
2020-01-10 09:36:45	ga_s2am_ard_3-2-1_55HEA_2020-01-10_final.stac-item
2020-01-10 09:36:51	ga_s2am_ard_3-2-1_55HGV_2020-01-10_final.stac-item
2020-01-10 09:36:54	ga_s2am_ard_3-2-1_55HFV_2020-01-10_final.stac-item
2020-01-10 09:36:58	ga_s2am_ard_3-2-1_55HEV_2020-01-10_final.stac-item
2020-01-10 09:37:13	ga_s2am_ard_3-2-1_55HEU_2020-01-10_final.stac-item
2020-01-10 09:37:23	ga_s2am_ard_3-2-1_55HFT_2020-01-10_final
2020-01-10 09:37:27	ga_s2am_ard_3-2-1_55HET_2020-01-10_final.stac-item
2020-01-10 09:37:34	ga_s2am_ard_3-2-1_55HDT_2020-01-10_final.stac-item
2020-01-10 09:37:38	ga_s2am_ard_3-2-1_55HFS_2020-01-10_final
2020-01-10 09:37:42	ga_s2am_ard_3-2-1_55HES_2020-01-10_final.stac-item
2020-01-10 09:37:46	ga_s2am_ard_3-2-1_55HDS_2020-01-10_final.stac-item
2020-01-10 09:37:52	ga_s2am_ard_3-2-1_55GFR_2020-01-10_final.stac-item
2020-01-10 09:37:56	ga_s2am_ard_3-2-1_55GER_2020-01-10_final.stac-item
2020-01-10 09:38:00	ga_s2am_ard_3-2-1_55GDR_2020-01-10_final.stac-item
2020-01-10 09:38:07	ga_s2am_ard_3-2-1_55GFQ_2020-01-10_final.stac-item
2020-01-10 09:38:11	ga_s2am_ard_3-2-1_55GEQ_2020-01-10_final.stac-item
2020-01-10 09:38:14	ga_s2am_ard_3-2-1_55GDQ_2020-01-10_final.stac-item
2020-01-10 11:14:18	ga_s2am_ard_3-2-1_51JZN_2020-01-10_final.stac-item
2020-01-10 11:14:24	ga_s2am_ard_3-2-1_51JYN_2020-01-10_final.stac-item
2020-01-10 11:14:32	ga_s2am_ard_3-2-1_51JZM_2020-01-10_final.stac-item
2020-01-10 11:14:36	ga_s2am_ard_3-2-1_51JYM_2020-01-10_final.stac-item
2020-01-10 11:14:50	ga_s2am_ard_3-2-1_51JYL_2020-01-10_final.stac-item
2020-01-10 11:15:01	ga_s2am_ard_3-2-1_52JBQ_2020-01-10_final.stac-item
2020-01-10 11:15:05	ga_s2am_ard_3-2-1_51JYK_2020-01-10_final.stac-item
2020-01-10 11:15:16	ga_s2am_ard_3-2-1_52JBP_2020-01-10_final.stac-item
2020-01-10 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2020-01-10_final.stac-item
2020-01-10 11:15:24	ga_s2am_ard_3-2-1_51JXJ_2020-01-10_final.stac-item
2020-01-10 11:15:31	ga_s2am_ard_3-2-1_52JBN_2020-01-10_final.stac-item
2020-01-10 11:15:33	ga_s2am_ard_3-2-1_51JYH_2020-01-10_final.stac-item
2020-01-10 11:15:37	ga_s2am_ard_3-2-1_51JXH_2020-01-10_final.stac-item
2020-01-10 11:15:45	ga_s2am_ard_3-2-1_52JBM_2020-01-10_final.stac-item
2020-01-10 11:15:48	ga_s2am_ard_3-2-1_51JYG_2020-01-10_final.stac-item
2020-01-10 11:15:51	ga_s2am_ard_3-2-1_51JXG_2020-01-10_final.stac-item
2020-01-10 11:16:00	ga_s2am_ard_3-2-1_52JBL_2020-01-10_final.stac-item
2020-01-10 11:16:02	ga_s2am_ard_3-2-1_51JYF_2020-01-10_final.stac-item
2020-01-10 11:16:06	ga_s2am_ard_3-2-1_51JXF_2020-01-10_final.stac-item
2020-01-10 11:16:14	ga_s2am_ard_3-2-1_52HBK_2020-01-10_final.stac-item
2020-01-10 11:16:17	ga_s2am_ard_3-2-1_51HYE_2020-01-10_final.stac-item
2020-01-10 11:16:20	ga_s2am_ard_3-2-1_51HXE_2020-01-10_final.stac-item
2020-01-10 11:16:25	ga_s2am_ard_3-2-1_51HWE_2020-01-10_final.stac-item
2020-01-10 11:16:31	ga_s2am_ard_3-2-1_51HYD_2020-01-10_final.stac-item
2020-01-10 11:16:35	ga_s2am_ard_3-2-1_51HXD_2020-01-10_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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