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
2020-11-02 11:06:42	ga_s2am_ard_3-2-1_51HYD_2020-11-02_final.stac-item
2020-11-04 11:46:27	ga_s2am_ard_3-2-1_50JNL_2020-11-04_final.stac-item
2020-11-04 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2020-11-04_final.stac-item
2020-11-04 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-11-04_final.stac-item
2020-11-05 11:16:41	ga_s2am_ard_3-2-1_51HYD_2020-11-05_final.stac-item
2020-11-07 11:56:22	ga_s2am_ard_3-2-1_50JNL_2020-11-07_final.stac-item
2020-11-07 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-11-07_final.stac-item
2020-11-11 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2020-11-11_final.stac-item
2020-11-12 11:06:41	ga_s2am_ard_3-2-1_51HYD_2020-11-12_final.stac-item
2020-11-14 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2020-11-14_final.stac-item
2020-11-15 11:16:40	ga_s2am_ard_3-2-1_51HYD_2020-11-15_final.stac-item
2020-11-17 11:57:09	ga_s2am_ard_3-2-1_50HMH_2020-11-17_final.stac-item
2020-11-22 11:06:39	ga_s2am_ard_3-2-1_51HYD_2020-11-22_final.stac-item
2020-11-24 11:46:24	ga_s2am_ard_3-2-1_50JNL_2020-11-24_final.stac-item
2020-11-24 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2020-11-24_final.stac-item
2020-11-25 11:16:24	ga_s2am_ard_3-2-1_51HYE_2020-11-25_final.stac-item
2020-11-25 11:16:38	ga_s2am_ard_3-2-1_51HYD_2020-11-25_final.stac-item
2020-12-01 11:36:33	ga_s2am_ard_3-2-1_51HVD_2020-12-01_final.stac-item
2020-12-01 11:36:42	ga_s2am_ard_3-2-1_51HUD_2020-12-01_final.stac-item
2020-12-01 11:36:46	ga_s2am_ard_3-2-1_51HTD_2020-12-01_final.stac-item
2020-12-01 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2020-12-01_final.stac-item
2020-12-01 11:37:00	ga_s2am_ard_3-2-1_51HTC_2020-12-01_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 11:46:04	ga_s2am_ard_3-2-1_50JPM_2020-12-04_final.stac-item
2020-12-04 11:46:18	ga_s2am_ard_3-2-1_50JNL_2020-12-04_final.stac-item
2020-12-04 11:46:20	ga_s2am_ard_3-2-1_50JML_2020-12-04_final.stac-item
2020-12-04 11:46:25	ga_s2am_ard_3-2-1_50JNL_2020-12-04_final.stac-item
2020-12-04 11:46:27	ga_s2am_ard_3-2-1_50JML_2020-12-04_final.stac-item
2020-12-04 11:46:36	ga_s2am_ard_3-2-1_50HNK_2020-12-04_final.stac-item
2020-12-04 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2020-12-04_final.stac-item
2020-12-04 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2020-12-04_final.stac-item
2020-12-04 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2020-12-04_final.stac-item
2020-12-04 11:47:05	ga_s2am_ard_3-2-1_50HNH_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
2020-12-07 11:56:16	ga_s2am_ard_3-2-1_50JNL_2020-12-07_final.stac-item
2020-12-07 11:56:20	ga_s2am_ard_3-2-1_50JML_2020-12-07_final.stac-item
2020-12-07 11:56:23	ga_s2am_ard_3-2-1_50JLL_2020-12-07_final.stac-item
2020-12-07 11:56:28	ga_s2am_ard_3-2-1_50HNK_2020-12-07_final.stac-item
2020-12-07 11:56:38	ga_s2am_ard_3-2-1_50HLK_2020-12-07_final.stac-item
2020-12-07 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-07_final.stac-item
2020-12-07 11:57:03	ga_s2am_ard_3-2-1_50HMH_2020-12-07_final.stac-item
2020-12-08 11:26:41	ga_s2am_ard_3-2-1_51HVD_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
2020-12-08 11:27:05	ga_s2am_ard_3-2-1_51HTC_2020-12-08_final.stac-item
2020-12-11 11:36:30	ga_s2am_ard_3-2-1_51HVD_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 11:36:45	ga_s2am_ard_3-2-1_50HQJ_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 11:06:34	ga_s2am_ard_3-2-1_51HYD_2020-12-12_final.stac-item
2020-12-14 11:46:02	ga_s2am_ard_3-2-1_50JPM_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 11:46:23	ga_s2am_ard_3-2-1_50JML_2020-12-14_final.stac-item
2020-12-14 11:46:34	ga_s2am_ard_3-2-1_50HNK_2020-12-14_final.stac-item
2020-12-14 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2020-12-14_final.stac-item
2020-12-14 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2020-12-14_final.stac-item
2020-12-14 11:46:52	ga_s2am_ard_3-2-1_50HMJ_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 11:47:03	ga_s2am_ard_3-2-1_50HNH_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
2020-12-17 11:56:16	ga_s2am_ard_3-2-1_50JNL_2020-12-17_final.stac-item
2020-12-17 11:56:20	ga_s2am_ard_3-2-1_50JML_2020-12-17_final.stac-item
2020-12-17 11:56:23	ga_s2am_ard_3-2-1_50JLL_2020-12-17_final.stac-item
2020-12-17 11:56:28	ga_s2am_ard_3-2-1_50HNK_2020-12-17_final.stac-item
2020-12-17 11:56:38	ga_s2am_ard_3-2-1_50HLK_2020-12-17_final.stac-item
2020-12-17 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-17_final.stac-item
2020-12-17 11:57:04	ga_s2am_ard_3-2-1_50HMH_2020-12-17_final.stac-item
2020-12-18 11:26:42	ga_s2am_ard_3-2-1_51HVD_2020-12-18_final.stac-item
2020-12-18 11:26:45	ga_s2am_ard_3-2-1_51HUD_2020-12-18_final.stac-item
2020-12-18 11:27:05	ga_s2am_ard_3-2-1_51HTC_2020-12-18_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 11:36:32	ga_s2am_ard_3-2-1_51HVD_2020-12-21_final.stac-item
2020-12-21 11:36:41	ga_s2am_ard_3-2-1_51HUD_2020-12-21_final.stac-item
2020-12-21 11:36:45	ga_s2am_ard_3-2-1_51HTD_2020-12-21_final.stac-item
2020-12-21 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2020-12-21_final.stac-item
2020-12-21 11:36:59	ga_s2am_ard_3-2-1_51HTC_2020-12-21_final.stac-item
2020-12-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2020-12-21_final.stac-item
2020-12-24 11:46:04	ga_s2am_ard_3-2-1_50JPM_2020-12-24_final.stac-item
2020-12-24 11:46:22	ga_s2am_ard_3-2-1_50JNL_2020-12-24_final.stac-item
2020-12-24 11:46:25	ga_s2am_ard_3-2-1_50JML_2020-12-24_final.stac-item
2020-12-24 11:46:36	ga_s2am_ard_3-2-1_50HNK_2020-12-24_final.stac-item
2020-12-24 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2020-12-24_final.stac-item
2020-12-24 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2020-12-24_final.stac-item
2020-12-24 11:46:47	ga_s2am_ard_3-2-1_50HMJ_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
2020-12-24 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2020-12-24_final.stac-item
2020-12-24 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2020-12-24_final.stac-item
2020-12-24 11:47:05	ga_s2am_ard_3-2-1_50HNH_2020-12-24_final.stac-item
2020-12-24 11:47:09	ga_s2am_ard_3-2-1_50HMH_2020-12-24_final.stac-item
2020-12-25 11:16:36	ga_s2am_ard_3-2-1_51HYD_2020-12-25_final.stac-item
2020-12-27 11:56:17	ga_s2am_ard_3-2-1_50JNL_2020-12-27_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 11:56:25	ga_s2am_ard_3-2-1_50JLL_2020-12-27_final.stac-item
2020-12-27 11:56:29	ga_s2am_ard_3-2-1_50HNK_2020-12-27_final.stac-item
2020-12-27 11:56:40	ga_s2am_ard_3-2-1_50HLK_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
2020-12-27 11:57:05	ga_s2am_ard_3-2-1_50HMH_2020-12-27_final.stac-item
2020-12-28 11:26:43	ga_s2am_ard_3-2-1_51HVD_2020-12-28_final.stac-item
2020-12-28 11:26:47	ga_s2am_ard_3-2-1_51HUD_2020-12-28_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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