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_51JVJ_2015-11-25_final.stac-item
2016-08-14 11:36:06	ga_s2am_ard_3-2-1_51HVE_2016-08-14_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51KWR_2016-09-13_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50JKM_2016-10-19_final.stac-item
2016-12-03 11:00:41	ga_s2am_ard_3-2-1_52JET_2016-12-03_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KWA_2016-12-05_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JVK_2016-12-12_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDS_2016-12-13_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KYA_2017-01-01_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JXN_2017-01-18_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JGK_2017-01-30_final.stac-item
2017-03-16 11:12:06	ga_s2am_ard_3-2-1_52JDT_2017-03-16_final.stac-item
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_50KPU_2017-03-25_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50HMK_2017-04-07_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51HYD_2017-05-05_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50JQM_2017-05-11_final.stac-item
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52JBS_2017-05-25_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGK_2017-07-09_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JWL_2017-11-07_final.stac-item
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_51KZQ_2018-01-10_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KXT_2018-01-13_final.stac-item
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_51JYF_2018-01-20_final.stac-item
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KYT_2018-02-02_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JWK_2018-02-02_final.stac-item
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JYH_2018-02-22_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JVG_2018-02-25_final.stac-item
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51KWA_2018-03-20_final.stac-item
2018-04-10 11:09:59	ga_s2am_ard_3-2-1_52JBL_2018-04-10_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JVN_2018-05-26_final.stac-item
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JVG_2018-06-12_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HQK_2018-06-18_final.stac-item
2018-07-22 11:23:33	ga_s2am_ard_3-2-1_51KXQ_2018-07-22_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JTJ_2018-08-04_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51HUC_2018-10-23_final.stac-item
2019-01-23 12:14:56	ga_s2am_ard_3-2-1_49JFM_2019-01-23_final.stac-item
2019-03-22 11:31:32	ga_s2am_ard_3-2-1_51LYD_2019-03-22_final.stac-item
2019-04-15 11:14:40	ga_s2am_ard_3-2-1_51JZM_2019-04-15_final.stac-item
2019-08-19 11:32:57	ga_s2am_ard_3-2-1_51KXU_2019-08-19_final.stac-item
2019-09-19 11:06:24	ga_s2am_ard_3-2-1_52HBK_2019-09-19_final.stac-item
2020-01-06 11:32:41	ga_s2am_ard_3-2-1_51KVV_2020-01-06_final.stac-item
2020-01-06 11:32:49	ga_s2am_ard_3-2-1_51KXU_2020-01-06_final.stac-item
2020-01-10 11:14:03	ga_s2am_ard_3-2-1_51KZP_2020-01-10_final.stac-item
2020-02-11 11:56:00	ga_s2am_ard_3-2-1_50JMM_2020-02-11_final.stac-item
2020-02-12 11:26:29	ga_s2am_ard_3-2-1_51HXD_2020-02-12_final.stac-item
2020-02-21 11:53:19	ga_s2am_ard_3-2-1_50KNC_2020-02-21_final.stac-item
2020-05-24 12:04:31	ga_s2am_ard_3-2-1_50KLU_2020-05-24_final.stac-item
2020-05-25 11:35:07	ga_s2am_ard_3-2-1_51JUL_2020-05-25_final.stac-item
2020-07-17 11:46:35	ga_s2am_ard_3-2-1_50HQK_2020-07-17_final.stac-item
2020-07-17 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2020-07-17_final.stac-item
2020-08-03 11:36:34	ga_s2am_ard_3-2-1_51HUE_2020-08-03_final.stac-item
2020-08-03 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-08-03_final.stac-item
2020-08-06 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-08-06_final.stac-item
2020-08-10 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2020-08-10_final.stac-item
2020-08-10 11:26:03	ga_s2am_ard_3-2-1_51JWG_2020-08-10_final.stac-item
2020-08-17 11:15:28	ga_s2am_ard_3-2-1_52JBP_2020-08-17_final.stac-item
2020-08-23 11:33:08	ga_s2am_ard_3-2-1_51KYT_2020-08-23_final.stac-item
2020-09-15 11:42:35	ga_s2am_ard_3-2-1_51KUA_2020-09-15_final.stac-item
2020-09-19 11:21:59	ga_s2am_ard_3-2-1_51LZC_2020-09-19_final.stac-item
2020-09-19 11:26:37	ga_s2am_ard_3-2-1_51HUE_2020-09-19_final.stac-item
2020-10-02 11:33:56	ga_s2am_ard_3-2-1_51KVR_2020-10-02_final.stac-item
2020-11-03 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-11-03_final.stac-item
2020-11-10 12:04:47	ga_s2am_ard_3-2-1_50JKT_2020-11-10_final.stac-item
2021-01-20 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-01-20_final.stac-item
2021-06-16 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2021-06-16_final.stac-item
2021-07-03 11:15:24	ga_s2am_ard_3-2-1_52JBP_2021-07-03_final.stac-item
2021-07-15 11:56:17	ga_s2am_ard_3-2-1_50JKM_2021-07-15_final.stac-item
2021-08-17 12:06:12	ga_s2am_ard_3-2-1_50JKM_2021-08-17_final.stac-item
2021-11-10 11:15:50	ga_s2am_ard_3-2-1_52JCM_2021-11-10_final.stac-item
2021-12-09 11:42:30	ga_s2am_ard_3-2-1_51KUA_2021-12-09_final.stac-item
2022-01-16 11:05:03	ga_s2am_ard_3-2-1_52JEQ_2022-01-16_final.stac-item
2022-02-04 11:34:05	ga_s2am_ard_3-2-1_51KXP_2022-02-04_final.stac-item
2022-02-07 11:42:27	ga_s2am_ard_3-2-1_51KVA_2022-02-07_final.stac-item
2022-03-15 12:05:44	ga_s2am_ard_3-2-1_50JLP_2022-03-15_final.stac-item
2022-03-20 11:16:40	ga_s2am_ard_3-2-1_51HYD_2022-03-20_final.stac-item
2022-06-20 11:57:06	ga_s2am_ard_3-2-1_50HLJ_2022-06-20_final.stac-item
2022-07-18 11:16:24	ga_s2am_ard_3-2-1_52JBL_2022-07-18_final.stac-item
2022-07-30 11:54:00	ga_s2am_ard_3-2-1_50KPA_2022-07-30_final.stac-item
2022-08-02 12:06:20	ga_s2am_ard_3-2-1_50JKM_2022-08-02_final.stac-item
2022-08-03 11:33:34	ga_s2am_ard_3-2-1_51KXS_2022-08-03_final.stac-item
2022-08-26 11:42:08	ga_s2am_ard_3-2-1_51LWC_2022-08-26_final.stac-item
2022-10-02 11:33:41	ga_s2am_ard_3-2-1_51KUS_2022-10-02_final.stac-item
2022-10-12 11:34:11	ga_s2am_ard_3-2-1_51KXP_2022-10-12_final.stac-item
2022-10-12 11:34:54	ga_s2am_ard_3-2-1_50JRS_2022-10-12_final.stac-item
2022-12-21 11:35:25	ga_s2am_ard_3-2-1_51JVJ_2022-12-21_final.stac-item
2022-12-22 11:04:16	ga_s2am_ard_3-2-1_52JET_2022-12-22_final.stac-item
2022-12-30 12:03:58	ga_s2am_ard_3-2-1_50KKA_2022-12-30_final.stac-item
2023-03-05 11:16:02	ga_s2am_ard_3-2-1_52JBL_2023-03-05_final
2023-03-31 11:35:10	ga_s2am_ard_3-2-1_51JVK_2023-03-31_final
2023-04-26 11:57:12	ga_s2am_ard_3-2-1_50HKH_2023-04-26_nrt
2023-06-05 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-06-05_final
2023-06-22 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2023-06-22_final
2023-07-09 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-07-09_final
2023-09-06 12:03:25	ga_s2am_ard_3-2-1_50KNC_2023-09-06_final
2023-10-17 11:31:05	ga_s2am_ard_3-2-1_51LZF_2023-10-17_final
2023-11-19 11:43:09	ga_s2am_ard_3-2-1_51KVT_2023-11-19_final
2024-01-11 11:57:07	ga_s2am_ard_3-2-1_50HKH_2024-01-11_final
2024-01-25 11:32:26	ga_s2am_ard_3-2-1_51KVA_2024-01-25_final
2024-03-01 11:57:12	ga_s2am_ard_3-2-1_50HKH_2024-03-01_final
2024-03-12 11:25:42	ga_s2am_ard_3-2-1_51JWH_2024-03-12_final
2024-03-19 11:16:41	ga_s2am_ard_3-2-1_51HXD_2024-03-19_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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