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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KXQ_2015-11-25_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKM_2016-01-16_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51LVC_2016-01-20_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51HUE_2016-03-24_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JWN_2016-06-25_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49JGL_2016-08-26_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HUE_2016-12-12_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KWQ_2017-01-18_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKS_2017-01-30_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KKV_2017-01-30_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KMA_2017-02-09_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JMP_2017-02-26_final.stac-item
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_51HVE_2017-05-31_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JKM_2017-07-29_final.stac-item
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52JBM_2017-08-13_final.stac-item
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KXU_2017-08-26_final.stac-item
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50JKM_2017-09-24_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JWN_2018-02-02_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51KYS_2018-03-04_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51JUN_2018-03-10_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JHN_2018-03-16_final.stac-item
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51KYR_2018-05-13_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JLP_2018-06-04_final.stac-item
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KQA_2018-06-11_final.stac-item
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KZS_2018-06-22_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKM_2018-06-24_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HNH_2018-08-07_final.stac-item
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JWH_2018-09-30_final.stac-item
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JWK_2018-10-03_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51KVS_2018-10-13_final.stac-item
2018-11-19 11:26:41	ga_s2am_ard_3-2-1_51HUD_2018-11-19_final.stac-item
2019-01-15 11:16:36	ga_s2am_ard_3-2-1_51HXD_2019-01-15_final.stac-item
2019-01-28 11:23:07	ga_s2am_ard_3-2-1_51KYT_2019-01-28_final.stac-item
2019-01-31 11:31:57	ga_s2am_ard_3-2-1_51LWC_2019-01-31_final.stac-item
2019-02-04 11:15:36	ga_s2am_ard_3-2-1_51JYH_2019-02-04_final.stac-item
2019-03-02 11:33:58	ga_s2am_ard_3-2-1_51KUQ_2019-03-02_final.stac-item
2019-03-11 12:03:18	ga_s2am_ard_3-2-1_50KMC_2019-03-11_final.stac-item
2019-08-26 11:25:47	ga_s2am_ard_3-2-1_51JVH_2019-08-26_final.stac-item
2019-09-08 11:32:18	ga_s2am_ard_3-2-1_51KVB_2019-09-08_final.stac-item
2019-11-27 11:31:20	ga_s2am_ard_3-2-1_51LZE_2019-11-27_final.stac-item
2020-01-03 11:24:24	ga_s2am_ard_3-2-1_51JWN_2020-01-03_final.stac-item
2020-02-08 11:43:25	ga_s2am_ard_3-2-1_50KRB_2020-02-08_final.stac-item
2020-02-18 11:43:55	ga_s2am_ard_3-2-1_51KTQ_2020-02-18_final.stac-item
2020-02-19 11:14:03	ga_s2am_ard_3-2-1_51KZP_2020-02-19_final.stac-item
2020-03-28 12:13:50	ga_s2am_ard_3-2-1_50KKA_2020-03-28_final.stac-item
2020-04-22 11:26:33	ga_s2am_ard_3-2-1_51HUE_2020-04-22_final.stac-item
2020-05-22 11:23:01	ga_s2am_ard_3-2-1_51KYU_2020-05-22_final.stac-item
2020-05-28 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-05-28_final.stac-item
2020-06-03 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-06-03_final.stac-item
2020-08-13 11:36:11	ga_s2am_ard_3-2-1_50JQM_2020-08-13_final.stac-item
2020-09-02 11:34:22	ga_s2am_ard_3-2-1_51KUP_2020-09-02_final.stac-item
2020-09-22 11:33:15	ga_s2am_ard_3-2-1_51KVT_2020-09-22_final.stac-item
2020-11-24 11:43:49	ga_s2am_ard_3-2-1_50KRA_2020-11-24_final.stac-item
2020-12-08 11:21:37	ga_s2am_ard_3-2-1_51LZD_2020-12-08_final.stac-item
2020-12-27 11:55:46	ga_s2am_ard_3-2-1_50JKP_2020-12-27_final.stac-item
2021-01-27 11:22:24	ga_s2am_ard_3-2-1_51KZA_2021-01-27_final.stac-item
2021-04-13 11:44:25	ga_s2am_ard_3-2-1_51JTN_2021-04-13_final.stac-item
2021-05-19 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2021-05-19_final.stac-item
2021-06-08 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-06-08_final.stac-item
2021-06-22 11:43:19	ga_s2am_ard_3-2-1_51KTT_2021-06-22_final.stac-item
2021-06-26 11:23:08	ga_s2am_ard_3-2-1_51KZT_2021-06-26_final.stac-item
2021-07-29 11:36:08	ga_s2am_ard_3-2-1_50JQM_2021-07-29_final.stac-item
2021-08-02 11:16:40	ga_s2am_ard_3-2-1_51HYD_2021-08-02_final.stac-item
2021-10-01 11:16:12	ga_s2am_ard_3-2-1_51JYF_2021-10-01_final.stac-item
2021-10-20 11:47:12	ga_s2am_ard_3-2-1_50HNH_2021-10-20_final.stac-item
2022-04-09 11:16:38	ga_s2am_ard_3-2-1_51HYD_2022-04-09_final.stac-item
2022-05-18 11:43:24	ga_s2am_ard_3-2-1_50KRC_2022-05-18_final.stac-item
2022-06-13 12:06:20	ga_s2am_ard_3-2-1_50JKM_2022-06-13_final.stac-item
2022-07-07 11:42:12	ga_s2am_ard_3-2-1_51LVC_2022-07-07_final.stac-item
2022-07-20 11:57:03	ga_s2am_ard_3-2-1_50HMJ_2022-07-20_final.stac-item
2022-09-05 11:47:07	ga_s2am_ard_3-2-1_50HMJ_2022-09-05_final.stac-item
2022-09-08 11:56:07	ga_s2am_ard_3-2-1_50JLN_2022-09-08_final.stac-item
2022-09-12 11:35:23	ga_s2am_ard_3-2-1_51JVK_2022-09-12_final.stac-item
2022-10-02 11:34:12	ga_s2am_ard_3-2-1_51KXP_2022-10-02_final.stac-item
2022-10-11 12:06:01	ga_s2am_ard_3-2-1_50JKN_2022-10-11_final.stac-item
2022-12-21 11:35:43	ga_s2am_ard_3-2-1_51JUH_2022-12-21_final.stac-item
2023-01-20 11:32:20	ga_s2am_ard_3-2-1_51KXA_2023-01-20_final.stac-item
2023-01-26 11:56:11	ga_s2am_ard_3-2-1_50JKM_2023-01-26_final.stac-item
2023-02-19 11:32:04	ga_s2am_ard_3-2-1_51KYB_2023-02-19_final
2023-03-05 11:16:33	ga_s2am_ard_3-2-1_51HYD_2023-03-05_final
2023-03-31 11:34:34	ga_s2am_ard_3-2-1_51JTN_2023-03-31_final
2023-04-01 11:06:33	ga_s2am_ard_3-2-1_52HBJ_2023-04-01_final
2023-05-06 11:55:42	ga_s2am_ard_3-2-1_50JLP_2023-05-06_final
2023-07-26 11:25:47	ga_s2am_ard_3-2-1_51JWH_2023-07-26_final
2023-08-07 12:05:34	ga_s2am_ard_3-2-1_49JGK_2023-08-07_final
2023-09-23 11:56:38	ga_s2am_ard_3-2-1_50HMK_2023-09-23_final
2023-09-26 12:03:25	ga_s2am_ard_3-2-1_50KMC_2023-09-26_final
2023-11-13 11:25:20	ga_s2am_ard_3-2-1_51JYJ_2023-11-13_final
2024-01-02 11:25:50	ga_s2am_ard_3-2-1_51JXG_2024-01-02_final
2024-01-05 11:36:39	ga_s2am_ard_3-2-1_51HUD_2024-01-05_final
2024-01-15 11:34:36	ga_s2am_ard_3-2-1_51JVM_2024-01-15_final
2024-01-25 11:31:29	ga_s2am_ard_3-2-1_51LZD_2024-01-25_final
2024-02-21 11:22:36	ga_s2am_ard_3-2-1_51KZV_2024-02-21_final
2024-03-25 11:33:02	ga_s2am_ard_3-2-1_51KVU_2024-03-25_final
2024-04-11 11:24:59	ga_s2am_ard_3-2-1_51JWL_2024-04-11_final
2024-04-11 11:26:26	ga_s2am_ard_3-2-1_51HWE_2024-04-11_final
2024-04-21 11:23:10	ga_s2am_ard_3-2-1_51KZT_2024-04-21_final
2024-05-04 11:37:05	ga_s2am_ard_3-2-1_50HQH_2024-05-04_final
2024-05-06 12:15:13	ga_s2am_ard_3-2-1_49JGL_2024-05-06_final
2024-05-21 11:24:19	ga_s2am_ard_3-2-1_51JZN_2024-05-21_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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