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 11:38:10	ga_s2am_ard_3-2-1_51KVA_2015-10-22_final.stac-item
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JXH_2015-10-23_final.stac-item
2016-03-20 11:34:13	ga_s2am_ard_3-2-1_51KWB_2016-03-20_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JHM_2016-05-05_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50KMB_2016-08-03_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HMH_2016-08-10_final.stac-item
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_50KKA_2017-02-02_final.stac-item
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_50KRV_2017-03-25_final.stac-item
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JNL_2017-05-17_final.stac-item
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JWJ_2017-09-15_final.stac-item
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGP_2017-09-30_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JKM_2018-01-12_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HPJ_2018-01-19_final.stac-item
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_51HTD_2018-01-26_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-02-17_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KWB_2018-03-10_final.stac-item
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JMM_2018-03-23_final.stac-item
2018-04-13 11:26:23	ga_s2am_ard_3-2-1_51HXE_2018-04-13_final.stac-item
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51HVC_2018-05-03_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50KMV_2018-05-22_final.stac-item
2018-06-02 11:23:55	ga_s2am_ard_3-2-1_51JXH_2018-06-02_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWB_2018-06-05_final.stac-item
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KVB_2018-06-18_final.stac-item
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KWA_2018-07-25_final.stac-item
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51JUF_2018-08-31_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGM_2018-09-05_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50KPU_2018-10-19_final.stac-item
2018-12-19 11:26:49	ga_s2am_ard_3-2-1_51HVC_2018-12-19_final.stac-item
2018-12-19 11:26:59	ga_s2am_ard_3-2-1_51HTC_2018-12-19_final.stac-item
2019-01-04 11:46:47	ga_s2am_ard_3-2-1_50HQH_2019-01-04_final.stac-item
2019-01-21 11:36:39	ga_s2am_ard_3-2-1_51HUD_2019-01-21_final.stac-item
2019-01-24 11:43:32	ga_s2am_ard_3-2-1_51KVR_2019-01-24_final.stac-item
2019-03-08 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2019-03-08_final.stac-item
2019-04-11 11:36:48	ga_s2am_ard_3-2-1_51HTD_2019-04-11_final.stac-item
2019-04-14 11:42:59	ga_s2am_ard_3-2-1_51KVU_2019-04-14_final.stac-item
2019-05-08 11:26:15	ga_s2am_ard_3-2-1_51JWF_2019-05-08_final.stac-item
2019-05-08 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-05-08_final.stac-item
2019-05-27 11:55:45	ga_s2am_ard_3-2-1_50JLP_2019-05-27_final.stac-item
2019-06-10 11:34:20	ga_s2am_ard_3-2-1_51KUP_2019-06-10_final.stac-item
2019-07-09 12:04:33	ga_s2am_ard_3-2-1_50KKU_2019-07-09_final.stac-item
2019-08-06 11:25:43	ga_s2am_ard_3-2-1_51JXH_2019-08-06_final.stac-item
2019-08-08 12:04:03	ga_s2am_ard_3-2-1_50KKA_2019-08-08_final.stac-item
2019-09-08 11:32:46	ga_s2am_ard_3-2-1_51KVV_2019-09-08_final.stac-item
2019-10-07 12:05:54	ga_s2am_ard_3-2-1_50JLN_2019-10-07_final.stac-item
2019-10-08 11:36:34	ga_s2am_ard_3-2-1_51HTE_2019-10-08_final.stac-item
2019-11-23 11:53:18	ga_s2am_ard_3-2-1_50KQC_2019-11-23_final.stac-item
2020-01-28 12:14:20	ga_s2am_ard_3-2-1_49KGP_2020-01-28_final.stac-item
2020-02-18 11:44:10	ga_s2am_ard_3-2-1_50KRU_2020-02-18_final.stac-item
2020-02-21 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-02-21_final.stac-item
2020-02-22 11:26:30	ga_s2am_ard_3-2-1_51HXD_2020-02-22_final.stac-item
2020-02-24 12:04:03	ga_s2am_ard_3-2-1_49KHQ_2020-02-24_final.stac-item
2020-03-22 11:54:33	ga_s2am_ard_3-2-1_50JNT_2020-03-22_final.stac-item
2020-04-25 11:34:56	ga_s2am_ard_3-2-1_51JWL_2020-04-25_final.stac-item
2020-05-24 12:03:29	ga_s2am_ard_3-2-1_50KMC_2020-05-24_final.stac-item
2020-05-26 11:06:43	ga_s2am_ard_3-2-1_51HYD_2020-05-26_final.stac-item
2020-09-19 11:24:24	ga_s2am_ard_3-2-1_51JZN_2020-09-19_final.stac-item
2020-11-30 12:03:56	ga_s2am_ard_3-2-1_50KLA_2020-11-30_final.stac-item
2021-01-03 11:43:27	ga_s2am_ard_3-2-1_50KQB_2021-01-03_final.stac-item
2021-02-15 11:55:19	ga_s2am_ard_3-2-1_50JNQ_2021-02-15_final.stac-item
2021-02-19 11:32:46	ga_s2am_ard_3-2-1_51KVV_2021-02-19_final.stac-item
2021-03-04 11:45:39	ga_s2am_ard_3-2-1_50JNP_2021-03-04_final.stac-item
2021-03-11 11:34:28	ga_s2am_ard_3-2-1_51JVN_2021-03-11_final.stac-item
2021-03-30 12:04:11	ga_s2am_ard_3-2-1_50KKV_2021-03-30_final.stac-item
2021-04-03 11:47:11	ga_s2am_ard_3-2-1_50HLH_2021-04-03_final.stac-item
2021-04-10 11:32:15	ga_s2am_ard_3-2-1_51KVB_2021-04-10_final.stac-item
2021-05-06 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2021-05-06_final.stac-item
2021-05-13 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-05-13_final.stac-item
2021-05-22 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-05-22_final.stac-item
2021-05-24 11:16:44	ga_s2am_ard_3-2-1_51HWD_2021-05-24_final.stac-item
2021-07-13 11:16:26	ga_s2am_ard_3-2-1_51HYE_2021-07-13_final.stac-item
2021-08-24 11:53:23	ga_s2am_ard_3-2-1_50KPC_2021-08-24_final.stac-item
2021-10-07 11:37:23	ga_s2am_ard_3-2-1_50HQG_2021-10-07_final
2021-10-13 11:53:16	ga_s2am_ard_3-2-1_50KRC_2021-10-13_final.stac-item
2021-10-17 11:32:52	ga_s2am_ard_3-2-1_51KVV_2021-10-17_final.stac-item
2021-10-30 11:43:26	ga_s2am_ard_3-2-1_50KQC_2021-10-30_final.stac-item
2021-11-16 11:35:05	ga_s2am_ard_3-2-1_51JTL_2021-11-16_final.stac-item
2022-01-11 11:56:01	ga_s2am_ard_3-2-1_50JKN_2022-01-11_final.stac-item
2022-01-12 11:24:24	ga_s2am_ard_3-2-1_51JYN_2022-01-12_final.stac-item
2022-03-02 11:53:28	ga_s2am_ard_3-2-1_50KNC_2022-03-02_final.stac-item
2022-03-29 11:43:24	ga_s2am_ard_3-2-1_50KQC_2022-03-29_final.stac-item
2022-05-15 11:36:51	ga_s2am_ard_3-2-1_51HTD_2022-05-15_final.stac-item
2022-05-25 11:36:27	ga_s2am_ard_3-2-1_50JQL_2022-05-25_final.stac-item
2022-09-22 11:33:55	ga_s2am_ard_3-2-1_51KUR_2022-09-22_final.stac-item
2023-01-23 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-01-23_final
2023-02-09 11:36:45	ga_s2am_ard_3-2-1_51HTD_2023-02-09_final.stac-item
2023-03-13 12:13:50	ga_s2am_ard_3-2-1_50KKA_2023-03-13_final
2023-04-19 12:03:22	ga_s2am_ard_3-2-1_50KMC_2023-04-19_final
2023-05-03 11:46:38	ga_s2am_ard_3-2-1_50HNK_2023-05-03_final
2023-05-20 11:36:02	ga_s2am_ard_3-2-1_51JUG_2023-05-20_final
2023-05-30 11:35:45	ga_s2am_ard_3-2-1_51JVH_2023-05-30_final
2023-08-14 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-08-14_final
2023-08-17 12:05:21	ga_s2am_ard_3-2-1_49JGL_2023-08-17_final
2023-08-24 11:53:23	ga_s2am_ard_3-2-1_50KQC_2023-08-24_final
2023-09-26 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2023-09-26_final
2023-12-06 11:33:56	ga_s2am_ard_3-2-1_51KUQ_2023-12-06_final
2024-01-12 11:25:00	ga_s2am_ard_3-2-1_51JYK_2024-01-12_final
2024-02-07 11:46:58	ga_s2am_ard_3-2-1_50HPH_2024-02-07_final
2024-03-14 12:04:28	ga_s2am_ard_3-2-1_50KKU_2024-03-14_final
2024-03-18 11:43:18	ga_s2am_ard_3-2-1_51KTT_2024-03-18_final
2024-05-23 12:03:58	ga_s2am_ard_3-2-1_49KHR_2024-05-23_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

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