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
2015-11-18 11:36:00	ga_s2am_ard_3-2-1_51JVF_2015-11-18_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMC_2016-03-03_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HQJ_2016-03-07_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KGP_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KKA_2016-03-16_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGM_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JNR_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50KPU_2016-04-19_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_50KKA_2016-04-25_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNQ_2016-04-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KPV_2016-04-29_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JZM_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQH_2016-05-09_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHR_2016-05-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KNA_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KVU_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JQT_2016-05-22_final.stac-item
2016-06-02 11:26:14	ga_s2am_ard_3-2-1_51JVF_2016-06-02_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLN_2016-07-21_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KVT_2016-11-22_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMH_2016-12-08_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2016-12-08_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KUU_2016-12-25_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KWQ_2016-12-29_final.stac-item
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KUS_2017-01-31_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49KHR_2017-09-07_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KWR_2018-01-06_final.stac-item
2018-11-09 11:24:10	ga_s2am_ard_3-2-1_51KWP_2018-11-09_final.stac-item
2018-11-12 11:32:56	ga_s2am_ard_3-2-1_51KVU_2018-11-12_final.stac-item
2018-11-22 11:33:19	ga_s2am_ard_3-2-1_51KUS_2018-11-22_final.stac-item
2018-11-22 11:33:56	ga_s2am_ard_3-2-1_51KUQ_2018-11-22_final.stac-item
2018-11-25 11:43:07	ga_s2am_ard_3-2-1_51KUT_2018-11-25_final.stac-item
2018-12-12 11:33:37	ga_s2am_ard_3-2-1_51KVR_2018-12-12_final.stac-item
2018-12-22 11:33:33	ga_s2am_ard_3-2-1_51KWR_2018-12-22_final.stac-item
2019-01-11 11:32:57	ga_s2am_ard_3-2-1_51KVU_2019-01-11_final.stac-item
2019-01-14 11:43:28	ga_s2am_ard_3-2-1_51KTS_2019-01-14_final.stac-item
2019-01-17 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2019-01-17_final.stac-item
2019-03-25 11:43:10	ga_s2am_ard_3-2-1_51KVT_2019-03-25_final.stac-item
2019-04-14 11:43:27	ga_s2am_ard_3-2-1_51KVS_2019-04-14_final.stac-item
2019-10-31 11:43:18	ga_s2am_ard_3-2-1_51KUT_2019-10-31_final.stac-item
2019-11-13 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2019-11-13_final.stac-item
2019-12-20 11:44:25	ga_s2am_ard_3-2-1_50JRT_2019-12-20_final.stac-item
2020-01-23 11:26:52	ga_s2am_ard_3-2-1_51HVC_2020-01-23_final.stac-item
2020-01-26 11:33:23	ga_s2am_ard_3-2-1_51KVS_2020-01-26_final.stac-item
2020-01-29 11:42:53	ga_s2am_ard_3-2-1_51KUU_2020-01-29_final.stac-item
2020-02-05 11:33:33	ga_s2am_ard_3-2-1_51KWR_2020-02-05_final.stac-item
2020-02-18 11:43:19	ga_s2am_ard_3-2-1_51KVS_2020-02-18_final.stac-item
2020-03-09 11:43:11	ga_s2am_ard_3-2-1_51KUT_2020-03-09_final.stac-item
2020-03-19 11:43:11	ga_s2am_ard_3-2-1_51KUT_2020-03-19_final.stac-item
2020-04-15 11:33:12	ga_s2am_ard_3-2-1_51KWT_2020-04-15_final.stac-item
2020-04-18 11:43:15	ga_s2am_ard_3-2-1_51KUT_2020-04-18_final.stac-item
2020-05-05 11:33:20	ga_s2am_ard_3-2-1_51KVT_2020-05-05_final.stac-item
2020-05-18 11:43:17	ga_s2am_ard_3-2-1_51KVT_2020-05-18_final.stac-item
2020-07-24 11:33:18	ga_s2am_ard_3-2-1_51KWT_2020-07-24_final.stac-item
2020-08-13 11:33:36	ga_s2am_ard_3-2-1_51KVS_2020-08-13_final.stac-item
2020-10-11 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-11_final.stac-item
2020-11-11 11:33:17	ga_s2am_ard_3-2-1_51KWT_2020-11-11_final.stac-item
2020-12-14 11:43:08	ga_s2am_ard_3-2-1_51KVT_2020-12-14_final.stac-item
2021-01-10 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-01-10_final.stac-item
2021-01-10 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2021-01-10_final.stac-item
2021-03-31 11:33:13	ga_s2am_ard_3-2-1_51KVT_2021-03-31_final.stac-item
2021-06-01 12:14:19	ga_s2am_ard_3-2-1_50KKU_2021-06-01_final.stac-item
2021-06-02 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-06-02_final.stac-item
2021-07-18 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-07-18_final.stac-item
2021-08-04 11:53:06	ga_s2am_ard_3-2-1_50KQD_2021-08-04_final
2021-08-21 11:47:09	ga_s2am_ard_3-2-1_50HNH_2021-08-21_final.stac-item
2021-09-06 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-09-06_final.stac-item
2021-09-17 11:33:18	ga_s2am_ard_3-2-1_51KVT_2021-09-17_final.stac-item
2021-09-17 11:35:58	ga_s2am_ard_3-2-1_51JVG_2021-09-17_final.stac-item
2021-10-10 11:42:33	ga_s2am_ard_3-2-1_51KVA_2021-10-10_final.stac-item
2021-10-17 11:33:47	ga_s2am_ard_3-2-1_51KWR_2021-10-17_final.stac-item
2021-12-09 11:43:10	ga_s2am_ard_3-2-1_51KVT_2021-12-09_final.stac-item
2021-12-19 11:43:12	ga_s2am_ard_3-2-1_51KVT_2021-12-19_final.stac-item
2021-12-26 11:34:04	ga_s2am_ard_3-2-1_51KUQ_2021-12-26_final.stac-item
2022-01-05 11:33:32	ga_s2am_ard_3-2-1_51KVS_2022-01-05_final.stac-item
2022-01-12 11:26:53	ga_s2am_ard_3-2-1_51HVC_2022-01-12_final.stac-item
2022-04-02 11:25:36	ga_s2am_ard_3-2-1_51JYH_2022-04-02_final.stac-item
2022-04-18 11:43:19	ga_s2am_ard_3-2-1_51KUT_2022-04-18_final.stac-item
2022-05-05 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2022-05-05_final.stac-item
2022-09-19 11:26:34	ga_s2am_ard_3-2-1_51HWE_2022-09-19_final.stac-item
2022-10-22 11:33:24	ga_s2am_ard_3-2-1_51KUT_2022-10-22_final.stac-item
2022-10-22 11:33:44	ga_s2am_ard_3-2-1_51KWR_2022-10-22_final.stac-item
2022-12-01 11:33:27	ga_s2am_ard_3-2-1_51KWS_2022-12-01_final.stac-item
2022-12-11 11:33:16	ga_s2am_ard_3-2-1_51KVT_2022-12-11_final.stac-item
2022-12-21 11:33:29	ga_s2am_ard_3-2-1_51KVS_2022-12-21_final.stac-item
2022-12-31 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2022-12-31_final.stac-item
2023-01-13 11:42:58	ga_s2am_ard_3-2-1_51KUU_2023-01-13_final.stac-item
2023-02-19 11:33:42	ga_s2am_ard_3-2-1_51KVR_2023-02-19_nrt.stac-item
2023-11-06 11:33:44	ga_s2am_ard_3-2-1_51KVR_2023-11-06_final
2023-11-09 11:42:56	ga_s2am_ard_3-2-1_51KVU_2023-11-09_final
2023-11-23 11:23:57	ga_s2am_ard_3-2-1_51KWQ_2023-11-23_final
2023-11-29 11:43:21	ga_s2am_ard_3-2-1_51KUS_2023-11-29_final
2023-11-29 11:46:59	ga_s2am_ard_3-2-1_50HNH_2023-11-29_final
2023-12-13 11:23:57	ga_s2am_ard_3-2-1_51KWQ_2023-12-13_final
2023-12-26 11:34:00	ga_s2am_ard_3-2-1_51KUQ_2023-12-26_final
2024-01-05 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2024-01-05_final
2024-01-05 11:34:14	ga_s2am_ard_3-2-1_51KUP_2024-01-05_final
2024-02-04 11:33:26	ga_s2am_ard_3-2-1_51KVS_2024-02-04_final
2024-02-07 11:43:21	ga_s2am_ard_3-2-1_51KVS_2024-02-07_final
2024-03-28 11:42:28	ga_s2am_ard_3-2-1_51KVA_2024-03-28_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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