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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HLH_2015-12-21_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HPJ_2016-03-07_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JQM_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JVH_2016-04-23_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HNH_2016-04-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HNK_2016-04-29_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KUT_2016-05-16_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JMM_2016-05-29_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50KQD_2016-06-11_final
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KUV_2016-06-18_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HUC_2016-07-22_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JLS_2016-10-29_final.stac-item
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51JVM_2017-01-31_final.stac-item
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_50KKU_2017-02-12_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JML_2017-05-04_final.stac-item
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_51KTU_2017-07-23_final.stac-item
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_51JVH_2017-07-30_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_51KVB_2017-10-11_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_50KKA_2017-12-19_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JLN_2018-01-05_final.stac-item
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KUV_2018-05-09_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-05_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KUU_2018-10-06_final.stac-item
2018-11-18 11:53:25	ga_s2am_ard_3-2-1_50KMC_2018-11-18_final.stac-item
2018-12-21 12:03:36	ga_s2am_ard_3-2-1_50KKB_2018-12-21_final.stac-item
2018-12-25 11:42:56	ga_s2am_ard_3-2-1_51KTU_2018-12-25_final.stac-item
2019-01-04 11:43:52	ga_s2am_ard_3-2-1_51KUQ_2019-01-04_final.stac-item
2019-01-08 11:26:42	ga_s2am_ard_3-2-1_51HUD_2019-01-08_final.stac-item
2019-06-06 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-06-06_final.stac-item
2019-07-23 11:43:08	ga_s2am_ard_3-2-1_51KTU_2019-07-23_final.stac-item
2019-08-05 11:53:15	ga_s2am_ard_3-2-1_50KRC_2019-08-05_final.stac-item
2019-09-14 11:53:09	ga_s2am_ard_3-2-1_50KRC_2019-09-14_final.stac-item
2019-11-20 11:43:38	ga_s2am_ard_3-2-1_51KUR_2019-11-20_final.stac-item
2019-12-21 11:15:04	ga_s2am_ard_3-2-1_51JYK_2019-12-21_final.stac-item
2020-02-01 11:56:10	ga_s2am_ard_3-2-1_50JNL_2020-02-01_final.stac-item
2020-02-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2020-02-07_final.stac-item
2020-02-08 11:43:50	ga_s2am_ard_3-2-1_51KUQ_2020-02-08_final.stac-item
2020-02-11 11:53:17	ga_s2am_ard_3-2-1_50KNC_2020-02-11_final.stac-item
2020-02-15 11:35:28	ga_s2am_ard_3-2-1_51JVH_2020-02-15_final.stac-item
2020-02-21 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-02-21_final.stac-item
2020-02-28 11:47:05	ga_s2am_ard_3-2-1_50HMH_2020-02-28_final.stac-item
2020-03-16 11:36:39	ga_s2am_ard_3-2-1_51HUD_2020-03-16_final.stac-item
2020-04-18 11:46:19	ga_s2am_ard_3-2-1_50JPL_2020-04-18_final.stac-item
2020-04-22 11:26:37	ga_s2am_ard_3-2-1_51HXD_2020-04-22_final.stac-item
2020-07-07 11:46:30	ga_s2am_ard_3-2-1_50JML_2020-07-07_final.stac-item
2020-07-07 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-07-07_final.stac-item
2020-11-11 11:34:21	ga_s2am_ard_3-2-1_51KUP_2020-11-11_final.stac-item
2021-01-03 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-01-03_final.stac-item
2021-01-20 11:36:27	ga_s2am_ard_3-2-1_50JPL_2021-01-20_final.stac-item
2021-02-08 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-02-08_final.stac-item
2021-02-16 11:24:18	ga_s2am_ard_3-2-1_51JZN_2021-02-16_final.stac-item
2021-03-01 11:35:59	ga_s2am_ard_3-2-1_51JUG_2021-03-01_final.stac-item
2021-03-27 11:55:57	ga_s2am_ard_3-2-1_50JKN_2021-03-27_final.stac-item
2021-05-09 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-05-09_final.stac-item
2021-05-23 11:42:36	ga_s2am_ard_3-2-1_51KVA_2021-05-23_final.stac-item
2021-06-22 11:43:19	ga_s2am_ard_3-2-1_51KTT_2021-06-22_final.stac-item
2021-07-05 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-07-05_final.stac-item
2021-08-14 11:53:24	ga_s2am_ard_3-2-1_50KPC_2021-08-14_final.stac-item
2021-08-31 11:42:29	ga_s2am_ard_3-2-1_51KVA_2021-08-31_final.stac-item
2021-08-31 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-08-31_final.stac-item
2021-09-10 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-09-10_final.stac-item
2021-09-30 11:46:30	ga_s2am_ard_3-2-1_50JML_2021-09-30_final.stac-item
2021-10-29 12:13:59	ga_s2am_ard_3-2-1_50KKA_2021-10-29_final.stac-item
2021-11-06 11:33:26	ga_s2am_ard_3-2-1_51KUT_2021-11-06_final.stac-item
2021-11-19 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-11-19_final
2021-12-03 11:26:47	ga_s2am_ard_3-2-1_51HUD_2021-12-03_final.stac-item
2022-01-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-01-01_final.stac-item
2022-02-20 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-02-20_final.stac-item
2022-03-06 11:32:23	ga_s2am_ard_3-2-1_51KVB_2022-03-06_final.stac-item
2022-03-23 11:24:26	ga_s2am_ard_3-2-1_51JYN_2022-03-23_final.stac-item
2022-04-05 11:32:21	ga_s2am_ard_3-2-1_51KVB_2022-04-05_final.stac-item
2022-04-14 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-04-14_final.stac-item
2022-06-01 11:27:06	ga_s2am_ard_3-2-1_51HVC_2022-06-01_final.stac-item
2022-06-14 11:37:08	ga_s2am_ard_3-2-1_51HUC_2022-06-14_final.stac-item
2022-06-23 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-06-23_final.stac-item
2022-07-07 11:43:21	ga_s2am_ard_3-2-1_51KUU_2022-07-07_final.stac-item
2022-07-30 11:56:09	ga_s2am_ard_3-2-1_50JKN_2022-07-30_final.stac-item
2022-09-05 11:45:29	ga_s2am_ard_3-2-1_50JQQ_2022-09-05_final.stac-item
2022-10-01 12:06:03	ga_s2am_ard_3-2-1_50JKN_2022-10-01_final.stac-item
2022-10-24 12:14:29	ga_s2am_ard_3-2-1_49KGP_2022-10-24_final.stac-item
2022-11-17 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2022-11-17_final.stac-item
2022-12-04 11:43:01	ga_s2am_ard_3-2-1_51KUU_2022-12-04_final.stac-item
2023-01-26 11:53:16	ga_s2am_ard_3-2-1_50KPC_2023-01-26_final.stac-item
2023-03-27 11:56:02	ga_s2am_ard_3-2-1_50JNM_2023-03-27_final
2023-05-03 11:43:00	ga_s2am_ard_3-2-1_51KUU_2023-05-03_final
2023-06-01 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-01_final
2023-06-22 11:46:26	ga_s2am_ard_3-2-1_50JNL_2023-06-22_final
2023-06-25 11:53:34	ga_s2am_ard_3-2-1_50KMC_2023-06-25_final
2023-07-26 11:26:52	ga_s2am_ard_3-2-1_51HUD_2023-07-26_final
2023-08-21 11:42:34	ga_s2am_ard_3-2-1_51KVA_2023-08-21_final
2023-10-07 11:36:58	ga_s2am_ard_3-2-1_51HUC_2023-10-07_final
2023-10-13 11:55:51	ga_s2am_ard_3-2-1_50JNN_2023-10-13_final
2023-12-26 11:36:43	ga_s2am_ard_3-2-1_51HTD_2023-12-26_final
2024-01-31 11:53:06	ga_s2am_ard_3-2-1_50KRC_2024-01-31_final
2024-02-03 12:05:37	ga_s2am_ard_3-2-1_50JKP_2024-02-03_final
2024-02-07 11:42:42	ga_s2am_ard_3-2-1_51KUV_2024-02-07_final
2024-02-27 11:42:27	ga_s2am_ard_3-2-1_51KVA_2024-02-27_final
2024-03-24 12:05:42	ga_s2am_ard_3-2-1_50JKP_2024-03-24_final
2024-04-17 11:42:49	ga_s2am_ard_3-2-1_51KUV_2024-04-17_final
2024-04-27 11:42:30	ga_s2am_ard_3-2-1_51KVA_2024-04-27_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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