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
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JMR_2016-02-02_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KTS_2016-05-09_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KXV_2016-05-16_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JXM_2016-06-12_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JMQ_2016-07-01_final.stac-item
2016-08-13 10:20:02	ga_s2am_ard_3-2-1_54JUT_2016-08-13_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JLT_2016-09-12_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JLT_2016-10-22_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JQQ_2016-12-05_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50KNA_2016-12-28_final.stac-item
2017-02-17 11:16:53	ga_s2am_ard_3-2-1_51KYT_2017-02-17_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JLT_2017-03-31_final.stac-item
2017-06-29 10:23:05	ga_s2am_ard_3-2-1_54JUS_2017-06-29_final.stac-item
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JNR_2017-08-05_final.stac-item
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50KNV_2017-08-05_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JLT_2017-08-18_final.stac-item
2017-09-03 10:37:27	ga_s2am_ard_3-2-1_53KQB_2017-09-03_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JMQ_2017-09-14_final.stac-item
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JQT_2017-09-21_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50KLU_2017-10-17_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50JQT_2018-01-19_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50KQU_2018-01-19_final.stac-item
2018-03-13 10:07:00	ga_s2am_ard_3-2-1_54HVJ_2018-03-13_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50KNV_2018-03-13_final.stac-item
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-03-19_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JLT_2018-05-05_final.stac-item
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JXK_2018-06-12_final.stac-item
2018-08-13 10:17:05	ga_s2am_ard_3-2-1_54JUS_2018-08-13_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KLU_2018-08-23_final.stac-item
2018-08-27 09:57:06	ga_s2am_ard_3-2-1_54HYJ_2018-08-27_final.stac-item
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JQR_2018-08-27_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JMR_2018-10-29_final.stac-item
2018-12-15 11:43:06	ga_s2am_ard_3-2-1_51KUT_2018-12-15_final.stac-item
2018-12-28 11:55:03	ga_s2am_ard_3-2-1_50JMR_2018-12-28_final.stac-item
2019-02-03 11:44:31	ga_s2am_ard_3-2-1_50JQT_2019-02-03_final.stac-item
2019-02-19 12:04:21	ga_s2am_ard_3-2-1_50KLU_2019-02-19_final.stac-item
2019-03-18 11:54:02	ga_s2am_ard_3-2-1_50KPV_2019-03-18_final.stac-item
2019-05-07 11:55:10	ga_s2am_ard_3-2-1_50JNR_2019-05-07_final.stac-item
2019-08-02 11:43:19	ga_s2am_ard_3-2-1_51KUT_2019-08-02_final.stac-item
2019-08-08 12:04:43	ga_s2am_ard_3-2-1_50JLT_2019-08-08_final.stac-item
2019-08-15 10:16:16	ga_s2am_ard_3-2-1_54HVJ_2019-08-15_final.stac-item
2019-08-18 12:04:13	ga_s2am_ard_3-2-1_50KLV_2019-08-18_final.stac-item
2019-08-18 12:04:42	ga_s2am_ard_3-2-1_50JLT_2019-08-18_final.stac-item
2019-08-22 11:43:35	ga_s2am_ard_3-2-1_50KRB_2019-08-22_final.stac-item
2019-09-17 12:04:24	ga_s2am_ard_3-2-1_50KLU_2019-09-17_final.stac-item
2019-10-01 11:43:16	ga_s2am_ard_3-2-1_51KUT_2019-10-01_final.stac-item
2019-10-01 11:43:34	ga_s2am_ard_3-2-1_51KTS_2019-10-01_final.stac-item
2019-10-02 11:14:39	ga_s2am_ard_3-2-1_51JZM_2019-10-02_final.stac-item
2019-10-11 11:43:17	ga_s2am_ard_3-2-1_51KUT_2019-10-11_final.stac-item
2019-10-31 11:43:18	ga_s2am_ard_3-2-1_51KUT_2019-10-31_final.stac-item
2019-11-16 12:04:41	ga_s2am_ard_3-2-1_50JLT_2019-11-16_final.stac-item
2020-01-29 11:43:26	ga_s2am_ard_3-2-1_50KRB_2020-01-29_final.stac-item
2020-03-29 11:43:11	ga_s2am_ard_3-2-1_51KUT_2020-03-29_final.stac-item
2020-05-22 11:25:01	ga_s2am_ard_3-2-1_51JXL_2020-05-22_final.stac-item
2020-06-13 12:04:45	ga_s2am_ard_3-2-1_50JLT_2020-06-13_final.stac-item
2020-07-01 11:22:43	ga_s2am_ard_3-2-1_51KZV_2020-07-01_final.stac-item
2020-07-17 11:43:20	ga_s2am_ard_3-2-1_51KUT_2020-07-17_final.stac-item
2020-07-20 11:54:28	ga_s2am_ard_3-2-1_50KNU_2020-07-20_final.stac-item
2020-07-30 11:53:45	ga_s2am_ard_3-2-1_50KNB_2020-07-30_final.stac-item
2020-08-02 12:04:45	ga_s2am_ard_3-2-1_50JLT_2020-08-02_final.stac-item
2020-09-11 12:04:28	ga_s2am_ard_3-2-1_50KLU_2020-09-11_final.stac-item
2020-09-18 11:55:11	ga_s2am_ard_3-2-1_50JNR_2020-09-18_final.stac-item
2020-09-21 12:04:44	ga_s2am_ard_3-2-1_50JLT_2020-09-21_final.stac-item
2020-09-28 11:54:43	ga_s2am_ard_3-2-1_50JNT_2020-09-28_final.stac-item
2020-12-20 12:04:38	ga_s2am_ard_3-2-1_50JLT_2020-12-20_final.stac-item
2020-12-20 12:04:41	ga_s2am_ard_3-2-1_49JHN_2020-12-20_final.stac-item
2020-12-24 11:44:19	ga_s2am_ard_3-2-1_50KQU_2020-12-24_final.stac-item
2021-01-26 11:54:23	ga_s2am_ard_3-2-1_50KNU_2021-01-26_final.stac-item
2021-02-18 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-02-18_final.stac-item
2021-02-18 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-02-18_final.stac-item
2021-03-10 12:04:24	ga_s2am_ard_3-2-1_50KLU_2021-03-10_final.stac-item
2021-03-10 12:04:39	ga_s2am_ard_3-2-1_50JLT_2021-03-10_final.stac-item
2021-04-03 11:43:30	ga_s2am_ard_3-2-1_50KRB_2021-04-03_final.stac-item
2021-04-27 11:22:35	ga_s2am_ard_3-2-1_51KZV_2021-04-27_final.stac-item
2021-06-26 11:22:10	ga_s2am_ard_3-2-1_51KZB_2021-06-26_final.stac-item
2021-07-22 11:43:36	ga_s2am_ard_3-2-1_50KRB_2021-07-22_final.stac-item
2021-07-29 11:32:29	ga_s2am_ard_3-2-1_51KXA_2021-07-29_final.stac-item
2021-08-01 11:44:05	ga_s2am_ard_3-2-1_51KTQ_2021-08-01_final.stac-item
2021-09-06 12:04:40	ga_s2am_ard_3-2-1_50JLT_2021-09-06_final.stac-item
2021-11-29 11:43:33	ga_s2am_ard_3-2-1_50KRB_2021-11-29_final.stac-item
2021-12-15 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-12-15_final.stac-item
2021-12-22 11:54:24	ga_s2am_ard_3-2-1_50KNU_2021-12-22_final.stac-item
2021-12-25 12:04:41	ga_s2am_ard_3-2-1_50JLT_2021-12-25_final.stac-item
2022-01-04 12:04:26	ga_s2am_ard_3-2-1_50KLU_2022-01-04_final.stac-item
2022-03-09 11:43:36	ga_s2am_ard_3-2-1_51KTS_2022-03-09_final.stac-item
2022-03-16 11:32:47	ga_s2am_ard_3-2-1_51KWV_2022-03-16_final.stac-item
2022-05-01 11:55:15	ga_s2am_ard_3-2-1_50JMR_2022-05-01_final.stac-item
2022-06-27 11:44:32	ga_s2am_ard_3-2-1_50KQU_2022-06-27_final.stac-item
2022-08-26 11:45:48	ga_s2am_ard_3-2-1_50JPP_2022-08-26_final.stac-item
2022-09-11 12:04:50	ga_s2am_ard_3-2-1_50JLT_2022-09-11_final.stac-item
2022-12-10 12:04:25	ga_s2am_ard_3-2-1_50KLU_2022-12-10_final.stac-item
2023-02-02 11:43:31	ga_s2am_ard_3-2-1_51KTS_2023-02-02_final
2023-02-02 11:44:18	ga_s2am_ard_3-2-1_50KQU_2023-02-02_final
2023-02-05 10:14:27	ga_s2am_ard_3-2-1_54JWR_2023-02-05_final
2023-02-05 10:14:56	ga_s2am_ard_3-2-1_54JWP_2023-02-05_final
2023-02-14 10:44:04	ga_s2am_ard_3-2-1_53JNN_2023-02-14_final
2023-02-17 10:53:25	ga_s2am_ard_3-2-1_52KHA_2023-02-17_final
2023-02-22 10:06:04	ga_s2am_ard_3-2-1_54HYJ_2023-02-22_final
2023-03-13 12:14:27	ga_s2am_ard_3-2-1_49KFP_2023-03-13_nrt
2023-08-07 10:21:16	ga_s2am_ard_3-2-1_54LXJ_2023-08-07_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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