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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KYB_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51LWC_2016-01-07_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNL_2016-01-20_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_50KKV_2016-07-17_final.stac-item
2016-09-23 11:35:58	ga_s2am_ard_3-2-1_51HTE_2016-09-23_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50JNL_2016-09-29_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KWU_2017-01-01_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KYS_2017-01-08_final.stac-item
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVA_2017-02-13_final.stac-item
2017-04-02 11:02:44	ga_s2am_ard_3-2-1_52JCL_2017-04-02_final.stac-item
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51JYF_2017-06-14_final.stac-item
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_52JCL_2017-07-11_final.stac-item
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_51HTD_2017-09-28_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXM_2017-10-05_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_51KUS_2017-10-11_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGK_2018-01-05_final.stac-item
2018-02-05 11:35:59	ga_s2am_ard_3-2-1_51HUE_2018-02-05_final.stac-item
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_52JCL_2018-03-31_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HQK_2018-04-09_final.stac-item
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HNJ_2018-04-19_final.stac-item
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_52JBL_2018-05-10_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JLR_2018-06-04_final.stac-item
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_49JGK_2018-06-07_final.stac-item
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KVU_2018-06-18_final.stac-item
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_50KRD_2018-06-28_final.stac-item
2018-07-28 11:40:21	ga_s2am_ard_3-2-1_51KVS_2018-07-28_final.stac-item
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JNN_2018-08-07_final.stac-item
2018-11-06 11:16:32	ga_s2am_ard_3-2-1_51HYD_2018-11-06_final.stac-item
2018-11-19 11:26:19	ga_s2am_ard_3-2-1_51HWE_2018-11-19_final.stac-item
2019-01-01 11:31:54	ga_s2am_ard_3-2-1_51LWC_2019-01-01_final.stac-item
2019-05-27 11:55:16	ga_s2am_ard_3-2-1_50JLR_2019-05-27_final.stac-item
2019-06-20 11:32:44	ga_s2am_ard_3-2-1_51KXV_2019-06-20_final.stac-item
2019-08-09 11:36:47	ga_s2am_ard_3-2-1_51HUD_2019-08-09_final.stac-item
2019-09-21 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2019-09-21_final.stac-item
2019-12-26 12:06:04	ga_s2am_ard_3-2-1_50JKM_2019-12-26_final.stac-item
2020-01-02 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-01-02_final.stac-item
2020-01-06 11:32:57	ga_s2am_ard_3-2-1_51KYT_2020-01-06_final.stac-item
2020-01-16 11:36:16	ga_s2am_ard_3-2-1_51HVE_2020-01-16_final.stac-item
2020-01-26 11:33:20	ga_s2am_ard_3-2-1_51KWS_2020-01-26_final.stac-item
2020-03-23 11:24:51	ga_s2am_ard_3-2-1_51JXL_2020-03-23_final.stac-item
2020-04-05 11:32:55	ga_s2am_ard_3-2-1_51KVU_2020-04-05_final.stac-item
2020-04-05 11:35:30	ga_s2am_ard_3-2-1_51JTJ_2020-04-05_final.stac-item
2020-04-05 11:36:57	ga_s2am_ard_3-2-1_51HTC_2020-04-05_final.stac-item
2020-05-24 12:04:19	ga_s2am_ard_3-2-1_50KKV_2020-05-24_final.stac-item
2020-05-24 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-05-24_final.stac-item
2020-06-24 11:33:06	ga_s2am_ard_3-2-1_51KYT_2020-06-24_final.stac-item
2020-07-11 11:23:25	ga_s2am_ard_3-2-1_51KZS_2020-07-11_final.stac-item
2020-07-11 11:24:23	ga_s2am_ard_3-2-1_51JZN_2020-07-11_final.stac-item
2020-08-09 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-08-09_final.stac-item
2020-08-23 11:35:07	ga_s2am_ard_3-2-1_51JUL_2020-08-23_final.stac-item
2020-11-04 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-11-04_final.stac-item
2020-11-07 11:53:47	ga_s2am_ard_3-2-1_50KMB_2020-11-07_final.stac-item
2020-11-18 11:25:41	ga_s2am_ard_3-2-1_51JXH_2020-11-18_final.stac-item
2020-12-11 11:32:22	ga_s2am_ard_3-2-1_51KXA_2020-12-11_final.stac-item
2021-01-04 11:16:26	ga_s2am_ard_3-2-1_51HXE_2021-01-04_final.stac-item
2021-01-07 11:22:57	ga_s2am_ard_3-2-1_51KYU_2021-01-07_final.stac-item
2021-01-14 11:15:11	ga_s2am_ard_3-2-1_51JYK_2021-01-14_final.stac-item
2021-01-24 11:15:37	ga_s2am_ard_3-2-1_52JBN_2021-01-24_final.stac-item
2021-01-30 11:32:15	ga_s2am_ard_3-2-1_51KWB_2021-01-30_final.stac-item
2021-05-13 11:46:08	ga_s2am_ard_3-2-1_50JNM_2021-05-13_final.stac-item
2021-06-02 11:43:19	ga_s2am_ard_3-2-1_50KRC_2021-06-02_final.stac-item
2021-07-12 11:44:19	ga_s2am_ard_3-2-1_50KRU_2021-07-12_final.stac-item
2021-08-31 11:47:08	ga_s2am_ard_3-2-1_50HNH_2021-08-31_final.stac-item
2021-10-26 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2021-10-26_final.stac-item
2021-11-29 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-11-29_final.stac-item
2022-01-25 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2022-01-25_final.stac-item
2022-01-28 11:41:59	ga_s2am_ard_3-2-1_51LVC_2022-01-28_final.stac-item
2022-02-05 11:06:37	ga_s2am_ard_3-2-1_51HYD_2022-02-05_final.stac-item
2022-03-09 11:42:50	ga_s2am_ard_3-2-1_51KUV_2022-03-09_final.stac-item
2022-03-25 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2022-03-25_final.stac-item
2022-03-26 11:34:46	ga_s2am_ard_3-2-1_51JVM_2022-03-26_final.stac-item
2022-03-26 11:36:32	ga_s2am_ard_3-2-1_50HQK_2022-03-26_final.stac-item
2022-04-12 11:26:02	ga_s2am_ard_3-2-1_51JVG_2022-04-12_final.stac-item
2022-07-13 12:04:31	ga_s2am_ard_3-2-1_49KGQ_2022-07-13_final.stac-item
2022-07-21 11:26:33	ga_s2am_ard_3-2-1_51HXE_2022-07-21_final.stac-item
2022-09-22 11:34:07	ga_s2am_ard_3-2-1_51KVQ_2022-09-22_final.stac-item
2022-10-06 11:13:47	ga_s2am_ard_3-2-1_51KZR_2022-10-06_final.stac-item
2022-10-12 11:34:23	ga_s2am_ard_3-2-1_51KUP_2022-10-12_final.stac-item
2022-10-26 11:14:12	ga_s2am_ard_3-2-1_51KZP_2022-10-26_final.stac-item
2022-10-26 11:16:20	ga_s2am_ard_3-2-1_51HYE_2022-10-26_final.stac-item
2022-11-07 11:57:10	ga_s2am_ard_3-2-1_50HMH_2022-11-07_final.stac-item
2022-11-12 11:06:27	ga_s2am_ard_3-2-1_52HBK_2022-11-12_final.stac-item
2022-12-11 11:33:02	ga_s2am_ard_3-2-1_51KVU_2022-12-11_final.stac-item
2023-02-19 11:34:11	ga_s2am_ard_3-2-1_51KVP_2023-02-19_nrt.stac-item
2023-04-07 11:25:03	ga_s2am_ard_3-2-1_51JVL_2023-04-07_final
2023-05-14 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2023-05-14_final
2023-05-27 11:27:05	ga_s2am_ard_3-2-1_51HUC_2023-05-27_final
2023-06-26 11:23:42	ga_s2am_ard_3-2-1_51KYR_2023-06-26_final
2023-07-26 11:23:40	ga_s2am_ard_3-2-1_51KZR_2023-07-26_final
2023-08-11 11:46:45	ga_s2am_ard_3-2-1_50HMK_2023-08-11_final
2023-10-13 11:55:46	ga_s2am_ard_3-2-1_50JMN_2023-10-13_final
2023-10-31 11:16:34	ga_s2am_ard_3-2-1_52HBJ_2023-10-31_nrt
2023-11-26 11:32:38	ga_s2am_ard_3-2-1_51KWV_2023-11-26_final
2023-12-03 11:22:59	ga_s2am_ard_3-2-1_51KZT_2023-12-03_final
2024-01-15 11:33:38	ga_s2am_ard_3-2-1_51KVR_2024-01-15_final
2024-02-23 12:04:26	ga_s2am_ard_3-2-1_49KHP_2024-02-23_final
2024-02-24 11:36:41	ga_s2am_ard_3-2-1_51HUD_2024-02-24_final
2024-02-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2024-02-26_final
2024-04-27 11:44:25	ga_s2am_ard_3-2-1_51JUN_2024-04-27_final
2024-05-13 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2024-05-13_nrt

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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