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
2020-01-29 11:44:52	ga_s2am_ard_3-2-1_51JTL_2020-01-29_final.stac-item
2020-01-29 11:44:56	ga_s2am_ard_3-2-1_50JQR_2020-01-29_final.stac-item
2020-01-29 11:44:59	ga_s2am_ard_3-2-1_50JPR_2020-01-29_final.stac-item
2020-01-29 11:45:04	ga_s2am_ard_3-2-1_50JNR_2020-01-29_final.stac-item
2020-01-29 11:45:07	ga_s2am_ard_3-2-1_51JTK_2020-01-29_final.stac-item
2020-01-29 11:45:10	ga_s2am_ard_3-2-1_50JQQ_2020-01-29_final.stac-item
2020-01-29 11:45:14	ga_s2am_ard_3-2-1_50JPQ_2020-01-29_final.stac-item
2020-01-29 11:45:17	ga_s2am_ard_3-2-1_50JNQ_2020-01-29_final.stac-item
2020-01-29 11:45:22	ga_s2am_ard_3-2-1_51JTJ_2020-01-29_final.stac-item
2020-01-29 11:45:25	ga_s2am_ard_3-2-1_50JQP_2020-01-29_final.stac-item
2020-01-29 11:45:28	ga_s2am_ard_3-2-1_50JPP_2020-01-29_final.stac-item
2020-01-29 11:45:32	ga_s2am_ard_3-2-1_50JNP_2020-01-29_final.stac-item
2020-01-29 11:45:36	ga_s2am_ard_3-2-1_51JTH_2020-01-29_final.stac-item
2020-01-29 11:45:39	ga_s2am_ard_3-2-1_50JQN_2020-01-29_final.stac-item
2020-01-29 11:45:43	ga_s2am_ard_3-2-1_50JPN_2020-01-29_final.stac-item
2020-01-29 11:45:47	ga_s2am_ard_3-2-1_50JNN_2020-01-29_final.stac-item
2020-01-29 11:45:50	ga_s2am_ard_3-2-1_51JTG_2020-01-29_final.stac-item
2020-01-29 11:45:53	ga_s2am_ard_3-2-1_50JQM_2020-01-29_final.stac-item
2020-01-29 11:45:57	ga_s2am_ard_3-2-1_50JPM_2020-01-29_final.stac-item
2020-01-29 11:46:01	ga_s2am_ard_3-2-1_51JTF_2020-01-29_final.stac-item
2020-01-29 11:46:01	ga_s2am_ard_3-2-1_50JNM_2020-01-29_final.stac-item
2020-01-29 11:46:06	ga_s2am_ard_3-2-1_50JMM_2020-01-29_final.stac-item
2020-01-29 11:46:08	ga_s2am_ard_3-2-1_50JQL_2020-01-29_final.stac-item
2020-01-29 11:46:12	ga_s2am_ard_3-2-1_50JPL_2020-01-29_final.stac-item
2020-01-29 11:46:15	ga_s2am_ard_3-2-1_50JNL_2020-01-29_final.stac-item
2020-01-29 11:46:19	ga_s2am_ard_3-2-1_50JML_2020-01-29_final.stac-item
2020-01-29 11:46:23	ga_s2am_ard_3-2-1_50HQK_2020-01-29_final.stac-item
2020-01-29 11:46:26	ga_s2am_ard_3-2-1_50HPK_2020-01-29_final.stac-item
2020-01-29 11:46:30	ga_s2am_ard_3-2-1_50HNK_2020-01-29_final.stac-item
2020-01-29 11:46:33	ga_s2am_ard_3-2-1_50HMK_2020-01-29_final.stac-item
2020-01-29 11:46:36	ga_s2am_ard_3-2-1_50HQJ_2020-01-29_final.stac-item
2020-01-29 11:46:41	ga_s2am_ard_3-2-1_50HPJ_2020-01-29_final.stac-item
2020-01-29 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2020-01-29_final.stac-item
2020-01-29 11:46:46	ga_s2am_ard_3-2-1_50HQH_2020-01-29_final.stac-item
2020-01-29 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2020-01-29_final.stac-item
2020-01-29 11:46:55	ga_s2am_ard_3-2-1_50HPH_2020-01-29_final.stac-item
2020-01-29 11:46:59	ga_s2am_ard_3-2-1_50HNH_2020-01-29_final.stac-item
2020-01-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-01-29_final.stac-item
2020-01-29 11:47:07	ga_s2am_ard_3-2-1_50HLH_2020-01-29_final.stac-item
2020-01-30 11:13:06	ga_s2am_ard_3-2-1_52KBC_2020-01-30_final.stac-item
2020-01-30 11:13:14	ga_s2am_ard_3-2-1_52KCB_2020-01-30_final.stac-item
2020-01-30 11:13:18	ga_s2am_ard_3-2-1_52KBB_2020-01-30_final.stac-item
2020-01-30 11:13:21	ga_s2am_ard_3-2-1_51KZS_2020-01-30_final.stac-item
2020-01-30 11:13:29	ga_s2am_ard_3-2-1_52KCA_2020-01-30_final.stac-item
2020-01-30 11:13:32	ga_s2am_ard_3-2-1_52KBA_2020-01-30_final.stac-item
2020-01-30 11:13:33	ga_s2am_ard_3-2-1_51KZR_2020-01-30_final.stac-item
2020-01-30 11:13:47	ga_s2am_ard_3-2-1_51KZQ_2020-01-30_final.stac-item
2020-01-30 11:13:47	ga_s2am_ard_3-2-1_52KBV_2020-01-30_final.stac-item
2020-01-30 11:14:00	ga_s2am_ard_3-2-1_52JET_2020-01-30_final.stac-item
2020-01-30 11:14:01	ga_s2am_ard_3-2-1_51KZP_2020-01-30_final.stac-item
2020-01-30 11:14:01	ga_s2am_ard_3-2-1_52KBU_2020-01-30_final.stac-item
2020-01-30 11:14:09	ga_s2am_ard_3-2-1_52JDT_2020-01-30_final.stac-item
2020-01-30 11:14:13	ga_s2am_ard_3-2-1_52JCT_2020-01-30_final.stac-item
2020-01-30 11:14:16	ga_s2am_ard_3-2-1_51JZN_2020-01-30_final.stac-item
2020-01-30 11:14:16	ga_s2am_ard_3-2-1_52JBT_2020-01-30_final.stac-item
2020-01-30 11:14:22	ga_s2am_ard_3-2-1_51JYN_2020-01-30_final.stac-item
2020-01-30 11:14:24	ga_s2am_ard_3-2-1_52JDS_2020-01-30_final.stac-item
2020-01-30 11:14:27	ga_s2am_ard_3-2-1_52JCS_2020-01-30_final.stac-item
2020-01-30 11:14:30	ga_s2am_ard_3-2-1_51JZM_2020-01-30_final.stac-item
2020-01-30 11:14:30	ga_s2am_ard_3-2-1_52JBS_2020-01-30_final.stac-item
2020-01-30 11:14:34	ga_s2am_ard_3-2-1_51JYM_2020-01-30_final.stac-item
2020-01-30 11:14:39	ga_s2am_ard_3-2-1_52JDR_2020-01-30_final.stac-item
2020-01-30 11:14:42	ga_s2am_ard_3-2-1_52JCR_2020-01-30_final.stac-item
2020-01-30 11:14:45	ga_s2am_ard_3-2-1_52JBR_2020-01-30_final.stac-item
2020-01-30 11:14:48	ga_s2am_ard_3-2-1_51JYL_2020-01-30_final.stac-item
2020-01-30 11:14:53	ga_s2am_ard_3-2-1_52JDQ_2020-01-30_final.stac-item
2020-01-30 11:14:56	ga_s2am_ard_3-2-1_52JCQ_2020-01-30_final.stac-item
2020-01-30 11:15:00	ga_s2am_ard_3-2-1_52JBQ_2020-01-30_final.stac-item
2020-01-30 11:15:03	ga_s2am_ard_3-2-1_51JYK_2020-01-30_final.stac-item
2020-01-30 11:15:05	ga_s2am_ard_3-2-1_52JDP_2020-01-30_final.stac-item
2020-01-30 11:15:11	ga_s2am_ard_3-2-1_52JCP_2020-01-30_final.stac-item
2020-01-30 11:15:14	ga_s2am_ard_3-2-1_52JBP_2020-01-30_final.stac-item
2020-01-30 11:15:15	ga_s2am_ard_3-2-1_52JDN_2020-01-30_final.stac-item
2020-01-30 11:15:17	ga_s2am_ard_3-2-1_51JYJ_2020-01-30_final.stac-item
2020-01-30 11:15:22	ga_s2am_ard_3-2-1_51JXJ_2020-01-30_final.stac-item
2020-01-30 11:15:23	ga_s2am_ard_3-2-1_52JCN_2020-01-30_final.stac-item
2020-01-30 11:15:25	ga_s2am_ard_3-2-1_52JBN_2020-01-30_final.stac-item
2020-01-30 11:15:27	ga_s2am_ard_3-2-1_51JYH_2020-01-30_final.stac-item
2020-01-30 11:15:28	ga_s2am_ard_3-2-1_51JXH_2020-01-30_final.stac-item
2020-01-30 11:15:30	ga_s2am_ard_3-2-1_52JCN_2020-01-30_final.stac-item
2020-01-30 11:15:32	ga_s2am_ard_3-2-1_52JBN_2020-01-30_final.stac-item
2020-01-30 11:15:33	ga_s2am_ard_3-2-1_51JYH_2020-01-30_final.stac-item
2020-01-30 11:15:35	ga_s2am_ard_3-2-1_51JXH_2020-01-30_final.stac-item
2020-01-30 11:15:40	ga_s2am_ard_3-2-1_52JCM_2020-01-30_final.stac-item
2020-01-30 11:15:43	ga_s2am_ard_3-2-1_52JBM_2020-01-30_final.stac-item
2020-01-30 11:15:46	ga_s2am_ard_3-2-1_51JYG_2020-01-30_final.stac-item
2020-01-30 11:15:50	ga_s2am_ard_3-2-1_51JXG_2020-01-30_final.stac-item
2020-01-30 11:15:55	ga_s2am_ard_3-2-1_52JCL_2020-01-30_final.stac-item
2020-01-30 11:15:58	ga_s2am_ard_3-2-1_52JBL_2020-01-30_final.stac-item
2020-01-30 11:16:00	ga_s2am_ard_3-2-1_51JYF_2020-01-30_final.stac-item
2020-01-30 11:16:04	ga_s2am_ard_3-2-1_51JXF_2020-01-30_final.stac-item
2020-01-30 11:16:12	ga_s2am_ard_3-2-1_52HBK_2020-01-30_final.stac-item
2020-01-30 11:16:15	ga_s2am_ard_3-2-1_51HYE_2020-01-30_final.stac-item
2020-01-30 11:16:19	ga_s2am_ard_3-2-1_51HXE_2020-01-30_final.stac-item
2020-01-30 11:16:23	ga_s2am_ard_3-2-1_51HWE_2020-01-30_final.stac-item
2020-01-30 11:16:29	ga_s2am_ard_3-2-1_51HYD_2020-01-30_final.stac-item
2020-01-30 11:16:33	ga_s2am_ard_3-2-1_51HXD_2020-01-30_final.stac-item
2020-01-30 11:16:36	ga_s2am_ard_3-2-1_51HWD_2020-01-30_final.stac-item
2020-01-30 11:16:48	ga_s2am_ard_3-2-1_51HXC_2020-01-30_final
2020-01-30 11:16:59	ga_s2am_ard_3-2-1_51HXB_2020-01-30_final

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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