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
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JGM_2016-01-19_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HUD_2016-06-12_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51KYR_2016-09-20_final.stac-item
2016-10-03 11:26:16	ga_s2am_ard_3-2-1_51LZE_2016-10-03_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-10-25_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KXQ_2017-01-01_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51LZE_2017-01-08_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51JZM_2017-01-25_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50KRC_2017-06-13_final.stac-item
2017-07-20 11:36:04	ga_s2am_ard_3-2-1_51JTF_2017-07-20_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51HUC_2017-12-17_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKQ_2018-05-25_final.stac-item
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JXG_2018-06-12_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-24_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGP_2018-08-06_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_50KKA_2018-08-06_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HPK_2018-08-27_final.stac-item
2018-09-03 11:26:18	ga_s2am_ard_3-2-1_51KXV_2018-09-03_final.stac-item
2018-11-12 11:33:17	ga_s2am_ard_3-2-1_51KUT_2018-11-12_final.stac-item
2019-03-01 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-03-01_final.stac-item
2019-03-24 12:15:09	ga_s2am_ard_3-2-1_49JGL_2019-03-24_final.stac-item
2019-06-07 11:24:17	ga_s2am_ard_3-2-1_51KWP_2019-06-07_final.stac-item
2019-06-23 11:42:17	ga_s2am_ard_3-2-1_51KVB_2019-06-23_final.stac-item
2019-06-26 11:57:14	ga_s2am_ard_3-2-1_50HLH_2019-06-26_final.stac-item
2019-07-04 11:15:30	ga_s2am_ard_3-2-1_51JYJ_2019-07-04_final.stac-item
2019-07-13 11:42:18	ga_s2am_ard_3-2-1_51KVB_2019-07-13_final.stac-item
2019-07-23 11:42:51	ga_s2am_ard_3-2-1_51KUV_2019-07-23_final.stac-item
2019-10-04 11:53:12	ga_s2am_ard_3-2-1_50KRC_2019-10-04_final.stac-item
2019-10-18 11:36:46	ga_s2am_ard_3-2-1_51HUD_2019-10-18_final.stac-item
2019-10-21 11:42:31	ga_s2am_ard_3-2-1_51KVA_2019-10-21_final.stac-item
2019-10-31 11:43:32	ga_s2am_ard_3-2-1_51KUS_2019-10-31_final.stac-item
2019-10-31 11:45:53	ga_s2am_ard_3-2-1_50JPN_2019-10-31_final.stac-item
2019-11-17 11:36:48	ga_s2am_ard_3-2-1_51HTD_2019-11-17_final.stac-item
2019-11-27 11:34:54	ga_s2am_ard_3-2-1_51JWL_2019-11-27_final.stac-item
2020-02-19 11:16:38	ga_s2am_ard_3-2-1_51HWD_2020-02-19_final.stac-item
2020-04-02 11:23:39	ga_s2am_ard_3-2-1_51KXR_2020-04-02_final.stac-item
2020-04-05 11:35:56	ga_s2am_ard_3-2-1_51JUG_2020-04-05_final.stac-item
2020-05-01 11:56:25	ga_s2am_ard_3-2-1_50JML_2020-05-01_final.stac-item
2020-05-02 11:22:55	ga_s2am_ard_3-2-1_51KZU_2020-05-02_final.stac-item
2020-06-25 11:04:53	ga_s2am_ard_3-2-1_52JER_2020-06-25_final.stac-item
2020-07-04 11:37:05	ga_s2am_ard_3-2-1_51HTC_2020-07-04_final.stac-item
2020-08-23 11:37:06	ga_s2am_ard_3-2-1_51HTC_2020-08-23_final.stac-item
2020-10-21 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-10-21_final.stac-item
2020-10-29 11:25:29	ga_s2am_ard_3-2-1_51JXJ_2020-10-29_final.stac-item
2020-11-04 11:43:23	ga_s2am_ard_3-2-1_51KTT_2020-11-04_final.stac-item
2020-11-21 11:32:14	ga_s2am_ard_3-2-1_51KXB_2020-11-21_final.stac-item
2020-12-14 11:46:12	ga_s2am_ard_3-2-1_50JQL_2020-12-14_final.stac-item
2021-01-14 11:14:56	ga_s2am_ard_3-2-1_51JYL_2021-01-14_final.stac-item
2021-01-27 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2021-01-27_final.stac-item
2021-02-06 11:22:55	ga_s2am_ard_3-2-1_51KYU_2021-02-06_final.stac-item
2021-02-06 11:24:18	ga_s2am_ard_3-2-1_51JZN_2021-02-06_final.stac-item
2021-02-12 11:42:26	ga_s2am_ard_3-2-1_51KVA_2021-02-12_final.stac-item
2021-03-01 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2021-03-01_final.stac-item
2021-04-10 11:36:23	ga_s2am_ard_3-2-1_51HUE_2021-04-10_final.stac-item
2021-04-23 11:46:39	ga_s2am_ard_3-2-1_50HQJ_2021-04-23_final.stac-item
2021-04-27 11:26:55	ga_s2am_ard_3-2-1_51HVC_2021-04-27_final.stac-item
2021-05-03 11:40:55	ga_s2am_ard_3-2-1_51LWG_2021-05-03_final
2021-05-10 11:34:31	ga_s2am_ard_3-2-1_51JUN_2021-05-10_final.stac-item
2021-05-13 11:46:00	ga_s2am_ard_3-2-1_50JQM_2021-05-13_final.stac-item
2021-05-23 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-05-23_final.stac-item
2021-06-21 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-21_final.stac-item
2021-07-18 12:03:44	ga_s2am_ard_3-2-1_50KLB_2021-07-18_final.stac-item
2021-08-15 11:25:06	ga_s2am_ard_3-2-1_51JVL_2021-08-15_final.stac-item
2021-09-11 11:16:59	ga_s2am_ard_3-2-1_51HWC_2021-09-11_final
2021-09-30 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2021-09-30_final.stac-item
2021-10-29 12:14:46	ga_s2am_ard_3-2-1_49JGN_2021-10-29_final.stac-item
2022-02-02 10:55:02	ga_s2am_ard_3-2-1_52JFQ_2022-02-02_final.stac-item
2022-03-03 11:21:29	ga_s2am_ard_3-2-1_51LZE_2022-03-03_final.stac-item
2022-04-12 11:24:06	ga_s2am_ard_3-2-1_51KZP_2022-04-12_final.stac-item
2022-04-28 11:44:21	ga_s2am_ard_3-2-1_51KTP_2022-04-28_final.stac-item
2022-05-18 11:42:19	ga_s2am_ard_3-2-1_51KVB_2022-05-18_final.stac-item
2022-05-25 11:33:09	ga_s2am_ard_3-2-1_51KVU_2022-05-25_final.stac-item
2022-05-25 11:36:50	ga_s2am_ard_3-2-1_51HUD_2022-05-25_final.stac-item
2022-05-27 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-05-27_final.stac-item
2022-05-31 11:56:33	ga_s2am_ard_3-2-1_50JLL_2022-05-31_final.stac-item
2022-08-03 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-08-03_final.stac-item
2022-09-02 11:33:02	ga_s2am_ard_3-2-1_51KYU_2022-09-02_final.stac-item
2022-11-04 11:42:50	ga_s2am_ard_3-2-1_51KUV_2022-11-04_final.stac-item
2022-11-14 11:43:06	ga_s2am_ard_3-2-1_51KTU_2022-11-14_final.stac-item
2022-11-28 11:23:39	ga_s2am_ard_3-2-1_51KYR_2022-11-28_final.stac-item
2023-01-13 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-01-13_final
2023-01-17 11:22:52	ga_s2am_ard_3-2-1_51KYU_2023-01-17_final.stac-item
2023-02-04 10:45:59	ga_s2am_ard_3-2-1_52JGL_2023-02-04_final.stac-item
2023-03-01 11:32:44	ga_s2am_ard_3-2-1_51KVV_2023-03-01_final
2023-04-02 12:13:53	ga_s2am_ard_3-2-1_50KKA_2023-04-02_final
2023-06-02 11:42:46	ga_s2am_ard_3-2-1_51KVV_2023-06-02_final
2023-06-16 11:25:43	ga_s2am_ard_3-2-1_51JXH_2023-06-16_final
2023-06-20 11:06:02	ga_s2am_ard_3-2-1_52JBM_2023-06-20_final
2023-06-23 11:14:12	ga_s2am_ard_3-2-1_51KZP_2023-06-23_final
2023-07-18 12:04:29	ga_s2am_ard_3-2-1_50KLU_2023-07-18_final
2023-07-23 11:13:45	ga_s2am_ard_3-2-1_51KZR_2023-07-23_final
2023-07-29 11:33:07	ga_s2am_ard_3-2-1_51KYT_2023-07-29_final
2023-08-02 11:15:16	ga_s2am_ard_3-2-1_51JYK_2023-08-02_final
2023-08-07 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2023-08-07_final
2023-08-21 11:42:15	ga_s2am_ard_3-2-1_51KWB_2023-08-21_final
2023-09-11 11:14:51	ga_s2am_ard_3-2-1_52JDR_2023-09-11_final
2024-01-28 11:43:28	ga_s2am_ard_3-2-1_50KRB_2024-01-28_final
2024-03-24 12:05:56	ga_s2am_ard_3-2-1_50JKN_2024-03-24_final
2024-03-28 11:42:57	ga_s2am_ard_3-2-1_51KVU_2024-03-28_final
2024-05-10 11:57:09	ga_s2am_ard_3-2-1_50HMH_2024-05-10_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

All years