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
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLL_2016-08-30_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KXS_2017-01-01_final.stac-item
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51HYE_2017-06-14_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KWS_2017-07-10_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KWQ_2017-11-07_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KWU_2017-11-07_final.stac-item
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_50KKB_2017-11-19_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KVS_2018-01-06_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVV_2018-02-15_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KWB_2018-02-25_final.stac-item
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KYU_2018-04-06_final.stac-item
2018-04-13 11:20:51	ga_s2am_ard_3-2-1_51KYU_2018-04-13_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_50KKA_2018-05-08_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HQK_2018-06-08_final.stac-item
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KXS_2018-07-05_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51KVS_2018-08-04_final.stac-item
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KWS_2018-08-24_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51KWS_2018-09-23_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HPK_2018-11-05_final.stac-item
2018-11-15 11:42:54	ga_s2am_ard_3-2-1_51KUU_2018-11-15_final.stac-item
2018-11-22 11:32:55	ga_s2am_ard_3-2-1_51KYT_2018-11-22_final.stac-item
2018-12-25 11:42:34	ga_s2am_ard_3-2-1_51KVV_2018-12-25_final.stac-item
2019-01-20 12:03:40	ga_s2am_ard_3-2-1_50KKB_2019-01-20_final.stac-item
2019-03-22 11:33:40	ga_s2am_ard_3-2-1_51KWR_2019-03-22_final.stac-item
2019-04-01 11:32:58	ga_s2am_ard_3-2-1_51KWU_2019-04-01_final.stac-item
2019-05-01 11:36:50	ga_s2am_ard_3-2-1_51HTD_2019-05-01_final.stac-item
2019-05-04 11:43:00	ga_s2am_ard_3-2-1_51KVU_2019-05-04_final.stac-item
2019-07-10 11:32:24	ga_s2am_ard_3-2-1_51KVB_2019-07-10_final.stac-item
2019-08-12 11:42:13	ga_s2am_ard_3-2-1_51KWB_2019-08-12_final.stac-item
2019-08-25 11:53:12	ga_s2am_ard_3-2-1_50KRC_2019-08-25_final.stac-item
2020-01-13 11:23:33	ga_s2am_ard_3-2-1_51KYR_2020-01-13_final.stac-item
2020-01-26 11:33:06	ga_s2am_ard_3-2-1_51KWT_2020-01-26_final.stac-item
2020-02-08 11:43:21	ga_s2am_ard_3-2-1_51KUS_2020-02-08_final.stac-item
2020-02-22 11:26:53	ga_s2am_ard_3-2-1_51HVC_2020-02-22_final.stac-item
2020-02-28 11:42:23	ga_s2am_ard_3-2-1_51KVA_2020-02-28_final.stac-item
2020-03-02 11:53:06	ga_s2am_ard_3-2-1_50KRC_2020-03-02_final.stac-item
2020-03-15 12:05:34	ga_s2am_ard_3-2-1_50JLP_2020-03-15_final.stac-item
2020-03-19 11:43:25	ga_s2am_ard_3-2-1_51KUS_2020-03-19_final.stac-item
2020-04-05 11:36:54	ga_s2am_ard_3-2-1_51HUC_2020-04-05_final.stac-item
2020-07-11 11:23:47	ga_s2am_ard_3-2-1_51KXR_2020-07-11_final.stac-item
2020-08-03 11:33:05	ga_s2am_ard_3-2-1_51KVU_2020-08-03_final.stac-item
2020-08-19 11:52:25	ga_s2am_ard_3-2-1_50KQG_2020-08-19_final
2020-09-02 11:35:46	ga_s2am_ard_3-2-1_51JVH_2020-09-02_final.stac-item
2020-09-12 11:33:44	ga_s2am_ard_3-2-1_51KXR_2020-09-12_final.stac-item
2020-10-19 11:23:16	ga_s2am_ard_3-2-1_51KYT_2020-10-19_final.stac-item
2020-10-22 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-10-22_final.stac-item
2020-10-29 11:23:30	ga_s2am_ard_3-2-1_51KYS_2020-10-29_final.stac-item
2021-01-12 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-01-12_final.stac-item
2021-01-13 11:43:01	ga_s2am_ard_3-2-1_51KUU_2021-01-13_final.stac-item
2021-01-23 11:43:19	ga_s2am_ard_3-2-1_50KRC_2021-01-23_final.stac-item
2021-02-19 11:32:54	ga_s2am_ard_3-2-1_51KXU_2021-02-19_final.stac-item
2021-03-20 12:03:43	ga_s2am_ard_3-2-1_50KKB_2021-03-20_final.stac-item
2021-03-30 12:03:17	ga_s2am_ard_3-2-1_50KNC_2021-03-30_final.stac-item
2021-04-27 11:26:15	ga_s2am_ard_3-2-1_51JUF_2021-04-27_final.stac-item
2021-04-29 12:05:53	ga_s2am_ard_3-2-1_50JKN_2021-04-29_final.stac-item
2021-05-07 11:22:54	ga_s2am_ard_3-2-1_51KYU_2021-05-07_final.stac-item
2021-06-15 11:52:34	ga_s2am_ard_3-2-1_50KQF_2021-06-15_final
2021-06-28 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-06-28_final.stac-item
2021-08-01 11:47:20	ga_s2am_ard_3-2-1_50HPG_2021-08-01_final
2021-08-18 11:36:49	ga_s2am_ard_3-2-1_51HTD_2021-08-18_final.stac-item
2021-08-28 11:33:11	ga_s2am_ard_3-2-1_51KXT_2021-08-28_final.stac-item
2021-09-13 11:53:11	ga_s2am_ard_3-2-1_50KRC_2021-09-13_final.stac-item
2021-10-14 11:24:03	ga_s2am_ard_3-2-1_51KXQ_2021-10-14_final.stac-item
2021-10-17 11:33:03	ga_s2am_ard_3-2-1_51KWU_2021-10-17_final.stac-item
2021-10-20 11:42:47	ga_s2am_ard_3-2-1_51KVV_2021-10-20_final.stac-item
2021-11-29 11:43:00	ga_s2am_ard_3-2-1_51KUU_2021-11-29_final.stac-item
2021-12-16 11:33:01	ga_s2am_ard_3-2-1_51KVU_2021-12-16_final.stac-item
2022-01-18 11:43:19	ga_s2am_ard_3-2-1_50KRC_2022-01-18_final.stac-item
2022-01-22 11:22:56	ga_s2am_ard_3-2-1_51KYU_2022-01-22_final.stac-item
2022-03-06 11:33:31	ga_s2am_ard_3-2-1_51KWS_2022-03-06_final.stac-item
2022-03-09 11:43:01	ga_s2am_ard_3-2-1_51KVU_2022-03-09_final.stac-item
2022-05-02 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2022-05-02_final.stac-item
2022-05-22 11:24:11	ga_s2am_ard_3-2-1_51KZP_2022-05-22_final.stac-item
2022-06-30 11:53:23	ga_s2am_ard_3-2-1_50KRC_2022-06-30_final.stac-item
2022-07-14 11:33:11	ga_s2am_ard_3-2-1_51KWU_2022-07-14_final.stac-item
2022-08-03 11:33:05	ga_s2am_ard_3-2-1_51KXU_2022-08-03_final.stac-item
2022-08-06 11:46:30	ga_s2am_ard_3-2-1_50JPL_2022-08-06_final.stac-item
2022-09-05 11:42:57	ga_s2am_ard_3-2-1_51KUV_2022-09-05_final.stac-item
2022-09-15 11:42:55	ga_s2am_ard_3-2-1_51KUV_2022-09-15_final.stac-item
2022-10-12 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2022-10-12_final.stac-item
2022-12-18 11:24:14	ga_s2am_ard_3-2-1_51KWP_2022-12-18_final.stac-item
2023-02-12 11:42:26	ga_s2am_ard_3-2-1_51KVA_2023-02-12_nrt.stac-item
2023-02-12 11:42:26	ga_s2am_ard_3-2-1_51KVA_2023-02-12_final
2023-03-27 11:55:48	ga_s2am_ard_3-2-1_50JNN_2023-03-27_final
2023-03-28 11:25:26	ga_s2am_ard_3-2-1_51JWJ_2023-03-28_final
2023-03-30 12:03:57	ga_s2am_ard_3-2-1_50KKA_2023-03-30_final
2023-04-19 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2023-04-19_final
2023-04-20 11:33:26	ga_s2am_ard_3-2-1_51KWS_2023-04-20_final
2023-04-27 11:24:04	ga_s2am_ard_3-2-1_51KZP_2023-04-27_final
2023-04-27 11:26:58	ga_s2am_ard_3-2-1_51HVC_2023-04-27_final
2023-05-04 11:16:37	ga_s2am_ard_3-2-1_51HYD_2023-05-04_final
2023-06-29 11:32:48	ga_s2am_ard_3-2-1_51KWV_2023-06-29_final
2023-10-13 11:53:09	ga_s2am_ard_3-2-1_50KRC_2023-10-13_final
2023-10-17 11:33:33	ga_s2am_ard_3-2-1_51KUS_2023-10-17_final
2023-10-20 11:42:42	ga_s2am_ard_3-2-1_51KVV_2023-10-20_final
2023-11-06 11:32:46	ga_s2am_ard_3-2-1_51KVV_2023-11-06_final
2023-11-06 11:33:33	ga_s2am_ard_3-2-1_51KUS_2023-11-06_final
2024-02-26 12:14:55	ga_s2am_ard_3-2-1_49JGM_2024-02-26_final
2024-03-28 11:43:03	ga_s2am_ard_3-2-1_51KTU_2024-03-28_final
2024-05-04 11:33:01	ga_s2am_ard_3-2-1_51KWU_2024-05-04_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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