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
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JGM_2015-10-01_final.stac-item
2015-12-05 11:26:08	ga_s2am_ard_3-2-1_51JUF_2015-12-05_final.stac-item
2015-12-05 11:26:08	ga_s2am_ard_3-2-1_51JVF_2015-12-05_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51KUP_2015-12-21_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JVF_2015-12-25_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_50JQM_2016-01-17_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KQA_2016-03-03_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHQ_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KKV_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNN_2016-03-20_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JWL_2016-03-24_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGN_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JPS_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JWN_2016-04-23_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_50KKV_2016-04-25_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNM_2016-04-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51JUM_2016-04-29_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51JXJ_2016-04-30_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HMK_2016-05-09_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51JYM_2016-05-10_final.stac-item
2016-05-13 11:26:15	ga_s2am_ard_3-2-1_51HVE_2016-05-13_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPH_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51HVD_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JTN_2016-05-16_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_50KKU_2016-05-18_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KQA_2016-05-22_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KLC_2016-06-04_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPH_2016-06-05_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHP_2016-06-07_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-06-17_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGM_2016-09-02_final.stac-item
2016-09-10 11:26:07	ga_s2am_ard_3-2-1_51JVF_2016-09-10_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HPH_2016-10-26_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KUP_2016-11-22_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKP_2016-12-21_final.stac-item
2017-08-31 12:13:43	ga_s2am_ard_3-2-1_50KKA_2017-08-31_final.stac-item
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_51JUF_2017-09-18_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMK_2017-12-03_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMJ_2017-12-23_final.stac-item
2018-01-23 11:26:03	ga_s2am_ard_3-2-1_51HWE_2018-01-23_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMH_2018-02-11_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPJ_2018-05-26_final.stac-item
2018-12-18 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-12-18_final.stac-item
2019-01-04 11:44:11	ga_s2am_ard_3-2-1_51KTP_2019-01-04_final.stac-item
2019-01-21 11:36:10	ga_s2am_ard_3-2-1_51JVF_2019-01-21_final.stac-item
2019-01-21 11:36:20	ga_s2am_ard_3-2-1_51HVE_2019-01-21_final.stac-item
2019-02-10 11:34:22	ga_s2am_ard_3-2-1_51KUP_2019-02-10_final.stac-item
2019-11-07 11:34:20	ga_s2am_ard_3-2-1_51KUP_2019-11-07_final.stac-item
2019-11-17 11:34:19	ga_s2am_ard_3-2-1_51KUP_2019-11-17_final.stac-item
2019-11-23 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-11-23_final.stac-item
2019-12-06 12:06:02	ga_s2am_ard_3-2-1_50JLM_2019-12-06_final.stac-item
2019-12-23 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2019-12-23_final.stac-item
2020-01-02 11:53:19	ga_s2am_ard_3-2-1_50KNC_2020-01-02_final.stac-item
2020-02-05 11:33:26	ga_s2am_ard_3-2-1_51KUS_2020-02-05_final.stac-item
2020-02-11 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2020-02-11_final.stac-item
2020-02-21 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-02-21_final.stac-item
2020-03-02 11:57:01	ga_s2am_ard_3-2-1_50HMH_2020-03-02_final.stac-item
2020-03-06 11:36:53	ga_s2am_ard_3-2-1_51HUC_2020-03-06_final.stac-item
2020-07-04 11:37:02	ga_s2am_ard_3-2-1_51HUC_2020-07-04_final.stac-item
2020-10-12 11:36:16	ga_s2am_ard_3-2-1_51JVF_2020-10-12_final.stac-item
2020-11-04 11:43:34	ga_s2am_ard_3-2-1_51KUS_2020-11-04_final.stac-item
2020-11-20 12:04:34	ga_s2am_ard_3-2-1_49KGP_2020-11-20_final.stac-item
2020-12-24 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2020-12-24_final.stac-item
2021-01-04 11:14:24	ga_s2am_ard_3-2-1_51JZN_2021-01-04_final.stac-item
2021-01-04 11:15:11	ga_s2am_ard_3-2-1_51JYK_2021-01-04_final.stac-item
2021-04-06 11:57:02	ga_s2am_ard_3-2-1_50HMH_2021-04-06_final.stac-item
2021-05-04 11:16:06	ga_s2am_ard_3-2-1_51JYF_2021-05-04_final.stac-item
2021-05-22 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-05-22_final.stac-item
2021-06-09 11:34:16	ga_s2am_ard_3-2-1_51JXN_2021-06-09_final.stac-item
2021-07-22 11:47:06	ga_s2am_ard_3-2-1_50HPH_2021-07-22_final.stac-item
2021-07-28 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-07-28_final.stac-item
2021-09-06 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-09-06_final.stac-item
2021-09-20 11:46:10	ga_s2am_ard_3-2-1_51JTF_2021-09-20_final.stac-item
2021-11-06 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-11-06_final.stac-item
2021-11-12 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-11-12_final.stac-item
2021-11-16 11:34:18	ga_s2am_ard_3-2-1_51KUP_2021-11-16_final.stac-item
2022-01-15 11:34:04	ga_s2am_ard_3-2-1_51KUQ_2022-01-15_final.stac-item
2022-02-04 11:34:17	ga_s2am_ard_3-2-1_51KUP_2022-02-04_final.stac-item
2022-05-05 11:36:47	ga_s2am_ard_3-2-1_51HUD_2022-05-05_final.stac-item
2022-06-06 12:14:02	ga_s2am_ard_3-2-1_50KKA_2022-06-06_final.stac-item
2022-07-01 11:26:27	ga_s2am_ard_3-2-1_51JVF_2022-07-01_final.stac-item
2022-09-19 11:26:37	ga_s2am_ard_3-2-1_51HVE_2022-09-19_final.stac-item
2022-09-25 11:46:59	ga_s2am_ard_3-2-1_50HNJ_2022-09-25_final.stac-item
2022-11-17 11:53:24	ga_s2am_ard_3-2-1_50KPC_2022-11-17_final.stac-item
2022-12-14 11:43:29	ga_s2am_ard_3-2-1_51KUS_2022-12-14_final.stac-item
2022-12-17 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2022-12-17_final.stac-item
2022-12-17 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-12-17_final.stac-item
2022-12-31 11:33:33	ga_s2am_ard_3-2-1_51KUS_2022-12-31_final.stac-item
2023-01-10 11:33:32	ga_s2am_ard_3-2-1_51KUS_2023-01-10_final.stac-item
2023-01-13 11:43:27	ga_s2am_ard_3-2-1_51KUS_2023-01-13_final.stac-item
2023-02-25 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-02-25_final
2023-02-25 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-02-25_final
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final
2023-09-03 11:55:21	ga_s2am_ard_3-2-1_50JPQ_2023-09-03_final
2023-09-03 11:57:05	ga_s2am_ard_3-2-1_50HLJ_2023-09-03_final
2023-10-14 11:26:24	ga_s2am_ard_3-2-1_51HWE_2023-10-14_final
2023-10-14 11:26:34	ga_s2am_ard_3-2-1_51HXD_2023-10-14_final
2023-11-28 12:15:03	ga_s2am_ard_3-2-1_49JGL_2023-11-28_final
2023-12-09 11:44:07	ga_s2am_ard_3-2-1_51KUP_2023-12-09_final
2024-02-07 11:47:10	ga_s2am_ard_3-2-1_50HLH_2024-02-07_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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