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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HPH_2015-10-22_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JLP_2016-04-02_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50JQP_2016-04-06_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQG_2016-06-05_final
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPH_2016-09-06_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLN_2016-09-19_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-09-25_final.stac-item
2016-10-15 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-10-15_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50KRC_2016-10-16_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51HUC_2016-10-30_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50KKB_2017-04-20_final.stac-item
2017-07-22 12:14:43	ga_s2am_ard_3-2-1_49JGM_2017-07-22_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KNC_2017-11-26_final.stac-item
2018-02-09 11:11:58	ga_s2am_ard_3-2-1_51HXD_2018-02-09_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JKM_2018-03-13_final.stac-item
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51HUC_2018-04-23_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51HTC_2018-04-26_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPH_2018-05-26_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JTK_2018-05-26_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-24_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGM_2018-08-23_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50JQL_2018-09-06_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMJ_2018-10-26_final.stac-item
2018-11-11 12:03:39	ga_s2am_ard_3-2-1_50KKB_2018-11-11_final.stac-item
2018-11-18 11:56:05	ga_s2am_ard_3-2-1_50JLM_2018-11-18_final.stac-item
2019-01-04 11:43:13	ga_s2am_ard_3-2-1_50KRC_2019-01-04_final.stac-item
2019-02-03 11:43:15	ga_s2am_ard_3-2-1_50KRC_2019-02-03_final.stac-item
2019-03-26 11:16:11	ga_s2am_ard_3-2-1_51JXF_2019-03-26_final.stac-item
2019-04-01 11:36:43	ga_s2am_ard_3-2-1_51HUD_2019-04-01_final.stac-item
2019-04-14 11:46:10	ga_s2am_ard_3-2-1_50JNM_2019-04-14_final.stac-item
2019-04-18 11:27:01	ga_s2am_ard_3-2-1_51HVC_2019-04-18_final.stac-item
2019-07-26 11:56:13	ga_s2am_ard_3-2-1_50JMM_2019-07-26_final.stac-item
2019-08-05 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-08-05_final.stac-item
2019-09-01 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-09-01_final.stac-item
2019-10-20 12:14:04	ga_s2am_ard_3-2-1_49KGR_2019-10-20_final.stac-item
2020-02-21 11:53:12	ga_s2am_ard_3-2-1_50KQC_2020-02-21_final.stac-item
2020-03-02 11:56:06	ga_s2am_ard_3-2-1_50JLM_2020-03-02_final.stac-item
2020-03-28 12:13:50	ga_s2am_ard_3-2-1_50KKA_2020-03-28_final.stac-item
2020-04-02 11:25:01	ga_s2am_ard_3-2-1_51JYK_2020-04-02_final.stac-item
2020-04-04 12:04:21	ga_s2am_ard_3-2-1_50KLU_2020-04-04_final.stac-item
2020-04-28 11:47:09	ga_s2am_ard_3-2-1_50HNH_2020-04-28_final.stac-item
2020-08-26 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-08-26_final.stac-item
2020-09-02 11:37:11	ga_s2am_ard_3-2-1_50HPH_2020-09-02_final.stac-item
2020-09-12 11:36:30	ga_s2am_ard_3-2-1_50JPL_2020-09-12_final.stac-item
2020-09-12 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2020-09-12_final.stac-item
2020-10-11 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-10-11_final.stac-item
2020-10-16 11:14:47	ga_s2am_ard_3-2-1_51JYM_2020-10-16_final.stac-item
2020-11-18 11:25:16	ga_s2am_ard_3-2-1_51JWK_2020-11-18_final.stac-item
2020-12-10 12:03:20	ga_s2am_ard_3-2-1_50KMC_2020-12-10_final.stac-item
2021-01-06 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-01-06_final
2021-01-10 11:36:47	ga_s2am_ard_3-2-1_51HTD_2021-01-10_final.stac-item
2021-01-19 12:06:05	ga_s2am_ard_3-2-1_50JLM_2021-01-19_final.stac-item
2021-02-01 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-02-01_final.stac-item
2021-02-16 11:24:40	ga_s2am_ard_3-2-1_51JXM_2021-02-16_final.stac-item
2021-03-04 11:46:00	ga_s2am_ard_3-2-1_50JQM_2021-03-04_final.stac-item
2021-03-10 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-03-10_final.stac-item
2021-04-13 11:46:35	ga_s2am_ard_3-2-1_50HMK_2021-04-13_final.stac-item
2021-04-27 11:26:40	ga_s2am_ard_3-2-1_51HVD_2021-04-27_final.stac-item
2021-05-09 12:05:54	ga_s2am_ard_3-2-1_50JKN_2021-05-09_final.stac-item
2021-06-02 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-06-02_final.stac-item
2021-06-09 11:36:11	ga_s2am_ard_3-2-1_51JVF_2021-06-09_final.stac-item
2021-06-11 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-06-11_final.stac-item
2021-07-09 11:37:00	ga_s2am_ard_3-2-1_51HUC_2021-07-09_final.stac-item
2021-07-09 11:37:21	ga_s2am_ard_3-2-1_50HQG_2021-07-09_final
2021-07-19 11:35:19	ga_s2am_ard_3-2-1_51JUK_2021-07-19_final.stac-item
2021-07-19 11:36:50	ga_s2am_ard_3-2-1_51HTD_2021-07-19_final.stac-item
2021-07-28 12:03:47	ga_s2am_ard_3-2-1_50KKB_2021-07-28_final.stac-item
2021-08-01 11:43:07	ga_s2am_ard_3-2-1_50KRD_2021-08-01_final.stac-item
2021-08-21 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-08-21_final
2021-08-27 12:03:43	ga_s2am_ard_3-2-1_50KLB_2021-08-27_final.stac-item
2021-11-19 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-11-19_final
2022-02-10 11:53:23	ga_s2am_ard_3-2-1_50KNC_2022-02-10_final.stac-item
2022-03-12 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-03-12_final.stac-item
2022-03-25 12:04:01	ga_s2am_ard_3-2-1_50KKA_2022-03-25_final.stac-item
2022-05-28 11:43:26	ga_s2am_ard_3-2-1_50KRC_2022-05-28_final.stac-item
2022-06-04 11:37:00	ga_s2am_ard_3-2-1_50HPJ_2022-06-04_final.stac-item
2022-07-21 11:25:02	ga_s2am_ard_3-2-1_51JYL_2022-07-21_final.stac-item
2022-07-31 11:26:46	ga_s2am_ard_3-2-1_51HXD_2022-07-31_final.stac-item
2022-08-09 11:56:08	ga_s2am_ard_3-2-1_50JLN_2022-08-09_final.stac-item
2022-08-10 11:24:34	ga_s2am_ard_3-2-1_51JYN_2022-08-10_final.stac-item
2022-10-05 11:46:55	ga_s2am_ard_3-2-1_50HPJ_2022-10-05_final.stac-item
2022-10-11 12:03:50	ga_s2am_ard_3-2-1_50KKB_2022-10-11_final.stac-item
2022-12-28 11:24:46	ga_s2am_ard_3-2-1_51JYL_2022-12-28_final.stac-item
2023-01-04 11:16:07	ga_s2am_ard_3-2-1_51JYF_2023-01-04_final.stac-item
2023-01-27 11:24:20	ga_s2am_ard_3-2-1_51JYN_2023-01-27_final.stac-item
2023-02-02 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-02_final
2023-05-16 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-05-16_final
2023-06-02 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-02_final
2023-08-21 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-08-21_final
2023-09-09 12:13:59	ga_s2am_ard_3-2-1_50KKA_2023-09-09_final
2023-10-09 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-10-09_final
2023-11-09 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-11-09_final
2023-11-12 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-12_final
2023-12-19 11:47:13	ga_s2am_ard_3-2-1_50HPG_2023-12-19_final
2024-02-17 11:43:02	ga_s2am_ard_3-2-1_50KRD_2024-02-17_final
2024-03-15 11:34:39	ga_s2am_ard_3-2-1_51JWM_2024-03-15_final
2024-04-11 11:24:27	ga_s2am_ard_3-2-1_51JXN_2024-04-11_final
2024-04-18 11:16:26	ga_s2am_ard_3-2-1_51HYE_2024-04-18_final
2024-04-23 12:05:58	ga_s2am_ard_3-2-1_50JKN_2024-04-23_final
2024-05-06 12:13:42	ga_s2am_ard_3-2-1_50KKB_2024-05-06_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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