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
2017-12-23 11:49:15	ga_s2am_ard_3-2-1_50KPC_2017-12-23_final.stac-item
2017-12-23 11:49:15	ga_s2am_ard_3-2-1_50KQC_2017-12-23_final.stac-item
2017-12-23 11:49:15	ga_s2am_ard_3-2-1_50KRC_2017-12-23_final.stac-item
2017-12-23 11:49:15	ga_s2am_ard_3-2-1_50KRD_2017-12-23_final.stac-item
2017-12-24 09:41:03	ga_s2am_ard_3-2-1_56KLD_2017-12-24_final.stac-item
2017-12-24 09:41:03	ga_s2am_ard_3-2-1_55KGT_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51KXT_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51KXU_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51KYT_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51KYU_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51KZT_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51KZU_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_52KBC_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_52KBD_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_52KCC_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_52KCD_2017-12-24_final.stac-item
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52KCD_2017-12-31_final.stac-item
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52KDD_2017-12-31_final.stac-item
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52KED_2017-12-31_final.stac-item
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52KFD_2017-12-31_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KWU_2018-01-06_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KXT_2018-01-06_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KXU_2018-01-06_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KYT_2018-01-06_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KYU_2018-01-06_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KVU_2018-01-06_final.stac-item
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_53KKU_2018-01-07_final.stac-item
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52KFD_2018-01-07_final.stac-item
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52KGD_2018-01-07_final.stac-item
2018-01-08 10:31:53	ga_s2am_ard_3-2-1_54KTC_2018-01-08_final.stac-item
2018-01-08 10:31:53	ga_s2am_ard_3-2-1_54KTD_2018-01-08_final.stac-item
2018-01-08 10:31:53	ga_s2am_ard_3-2-1_54KUC_2018-01-08_final.stac-item
2018-01-08 10:31:53	ga_s2am_ard_3-2-1_54KUD_2018-01-08_final.stac-item
2018-01-08 10:31:53	ga_s2am_ard_3-2-1_54KVD_2018-01-08_final.stac-item
2018-01-08 10:31:53	ga_s2am_ard_3-2-1_53KRT_2018-01-08_final.stac-item
2018-01-08 10:31:53	ga_s2am_ard_3-2-1_53KRU_2018-01-08_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KVU_2018-01-26_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KWU_2018-01-26_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KXT_2018-01-26_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KXU_2018-01-26_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KYT_2018-01-26_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KYU_2018-01-26_final.stac-item
2019-03-02 09:52:08	ga_s2am_ard_3-2-1_55KGU_2019-03-02_final.stac-item
2019-03-02 09:52:12	ga_s2am_ard_3-2-1_55KFU_2019-03-02_final.stac-item
2019-03-02 09:52:15	ga_s2am_ard_3-2-1_55KEU_2019-03-02_final.stac-item
2019-03-02 09:52:23	ga_s2am_ard_3-2-1_55KGT_2019-03-02_final.stac-item
2019-03-02 09:52:26	ga_s2am_ard_3-2-1_55KFT_2019-03-02_final.stac-item
2019-03-05 10:02:10	ga_s2am_ard_3-2-1_55KEU_2019-03-05_final.stac-item
2019-03-05 10:02:14	ga_s2am_ard_3-2-1_55KDU_2019-03-05_final.stac-item
2019-03-05 10:02:17	ga_s2am_ard_3-2-1_55KCU_2019-03-05_final.stac-item
2019-03-05 10:02:21	ga_s2am_ard_3-2-1_55KBU_2019-03-05_final.stac-item
2019-03-05 10:02:31	ga_s2am_ard_3-2-1_55KCT_2019-03-05_final.stac-item
2019-03-05 10:02:34	ga_s2am_ard_3-2-1_55KBT_2019-03-05_final.stac-item
2019-03-05 10:02:36	ga_s2am_ard_3-2-1_54KZC_2019-03-05_final.stac-item
2019-03-10 10:52:28	ga_s2am_ard_3-2-1_53KNU_2019-03-10_final.stac-item
2019-03-10 10:52:33	ga_s2am_ard_3-2-1_53KMU_2019-03-10_final.stac-item
2019-03-10 10:52:36	ga_s2am_ard_3-2-1_53KLU_2019-03-10_final.stac-item
2019-03-10 10:52:39	ga_s2am_ard_3-2-1_53KKU_2019-03-10_final.stac-item
2019-03-10 10:52:39	ga_s2am_ard_3-2-1_52KHD_2019-03-10_final.stac-item
2019-03-10 10:52:51	ga_s2am_ard_3-2-1_53KLT_2019-03-10_final.stac-item
2019-03-10 10:52:54	ga_s2am_ard_3-2-1_53KKT_2019-03-10_final.stac-item
2019-03-10 10:52:54	ga_s2am_ard_3-2-1_52KHC_2019-03-10_final.stac-item
2019-03-15 10:02:12	ga_s2am_ard_3-2-1_55KEU_2019-03-15_final.stac-item
2019-03-15 10:02:15	ga_s2am_ard_3-2-1_55KDU_2019-03-15_final.stac-item
2019-03-15 10:02:18	ga_s2am_ard_3-2-1_55KCU_2019-03-15_final.stac-item
2019-03-15 10:02:22	ga_s2am_ard_3-2-1_55KBU_2019-03-15_final.stac-item
2019-03-15 10:02:33	ga_s2am_ard_3-2-1_55KCT_2019-03-15_final.stac-item
2019-03-15 10:02:36	ga_s2am_ard_3-2-1_55KBT_2019-03-15_final.stac-item
2019-03-15 10:02:38	ga_s2am_ard_3-2-1_54KZC_2019-03-15_final.stac-item
2019-03-16 11:12:39	ga_s2am_ard_3-2-1_52KFD_2019-03-16_final.stac-item
2019-03-16 11:12:43	ga_s2am_ard_3-2-1_52KED_2019-03-16_final.stac-item
2019-03-16 11:12:46	ga_s2am_ard_3-2-1_52KDD_2019-03-16_final.stac-item
2019-03-16 11:12:49	ga_s2am_ard_3-2-1_52KCD_2019-03-16_final.stac-item
2022-09-14 10:32:35	ga_s2am_ard_3-2-1_54KVD_2022-09-14_final.stac-item
2022-09-14 10:32:39	ga_s2am_ard_3-2-1_54KUD_2022-09-14_final.stac-item
2022-09-14 10:32:42	ga_s2am_ard_3-2-1_54KTD_2022-09-14_final.stac-item
2022-09-14 10:32:43	ga_s2am_ard_3-2-1_53KRU_2022-09-14_final.stac-item
2022-09-14 10:32:46	ga_s2am_ard_3-2-1_53KQU_2022-09-14_final.stac-item
2022-09-14 10:32:51	ga_s2am_ard_3-2-1_54KUC_2022-09-14_final.stac-item
2022-09-14 10:32:53	ga_s2am_ard_3-2-1_54KTC_2022-09-14_final.stac-item
2022-09-14 10:32:53	ga_s2am_ard_3-2-1_53KRT_2022-09-14_final.stac-item
2022-09-14 10:32:55	ga_s2am_ard_3-2-1_53KQT_2022-09-14_final.stac-item
2022-09-18 10:12:25	ga_s2am_ard_3-2-1_55KCU_2022-09-18_final.stac-item
2022-09-18 10:12:29	ga_s2am_ard_3-2-1_55KBU_2022-09-18_final.stac-item
2022-09-18 10:12:30	ga_s2am_ard_3-2-1_54KZD_2022-09-18_final.stac-item
2022-09-18 10:12:34	ga_s2am_ard_3-2-1_54KYD_2022-09-18_final.stac-item
2022-09-18 10:12:36	ga_s2am_ard_3-2-1_55KCT_2022-09-18_final.stac-item
2022-09-18 10:12:37	ga_s2am_ard_3-2-1_54KXD_2022-09-18_final.stac-item
2022-09-18 10:12:44	ga_s2am_ard_3-2-1_55KBT_2022-09-18_final.stac-item
2022-09-18 10:12:45	ga_s2am_ard_3-2-1_54KZC_2022-09-18_final.stac-item
2022-09-18 10:12:48	ga_s2am_ard_3-2-1_54KYC_2022-09-18_final.stac-item
2022-09-18 10:12:52	ga_s2am_ard_3-2-1_54KXC_2022-09-18_final.stac-item
2022-09-29 09:42:18	ga_s2am_ard_3-2-1_56KLD_2022-09-29_final.stac-item
2022-09-29 09:42:40	ga_s2am_ard_3-2-1_55KGT_2022-09-29_final.stac-item
2022-09-29 11:23:00	ga_s2am_ard_3-2-1_51KZU_2022-09-29_final.stac-item
2022-09-29 11:23:03	ga_s2am_ard_3-2-1_51KYU_2022-09-29_final.stac-item
2022-09-29 11:23:07	ga_s2am_ard_3-2-1_51KXU_2022-09-29_final.stac-item
2022-09-29 11:23:13	ga_s2am_ard_3-2-1_52KBC_2022-09-29_final.stac-item
2022-09-29 11:23:14	ga_s2am_ard_3-2-1_51KZT_2022-09-29_final.stac-item
2022-09-29 11:23:17	ga_s2am_ard_3-2-1_51KYT_2022-09-29_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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