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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JNL_2015-12-04_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JUG_2016-04-06_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KPA_2016-07-01_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51KVU_2016-07-28_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGN_2016-08-23_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HVD_2016-09-20_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51KWB_2016-10-03_final.stac-item
2016-11-02 11:26:18	ga_s2am_ard_3-2-1_51KWB_2016-11-02_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51JWK_2016-11-19_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51JWN_2016-12-09_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KUS_2016-12-22_final.stac-item
2017-02-17 11:16:53	ga_s2am_ard_3-2-1_51KYU_2017-02-17_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50JKS_2017-02-19_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KGP_2017-03-31_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_50KKB_2018-03-09_final.stac-item
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51HXD_2018-03-21_final.stac-item
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KWP_2018-04-06_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_51KUU_2018-04-09_final.stac-item
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51KXR_2018-06-25_final.stac-item
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_51JXJ_2018-07-09_final.stac-item
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KWR_2018-08-24_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KVU_2018-09-03_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51KXR_2018-09-23_final.stac-item
2018-09-26 11:34:41	ga_s2am_ard_3-2-1_51KVV_2018-09-26_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50KMC_2018-11-01_final.stac-item
2018-11-08 11:56:21	ga_s2am_ard_3-2-1_50JLL_2018-11-08_final.stac-item
2018-12-21 12:03:50	ga_s2am_ard_3-2-1_50KKA_2018-12-21_final.stac-item
2019-01-17 11:53:17	ga_s2am_ard_3-2-1_50KPC_2019-01-17_final.stac-item
2019-01-21 11:34:14	ga_s2am_ard_3-2-1_51KUP_2019-01-21_final.stac-item
2019-02-06 11:56:22	ga_s2am_ard_3-2-1_50JLL_2019-02-06_final.stac-item
2019-02-07 11:24:19	ga_s2am_ard_3-2-1_51JYN_2019-02-07_final.stac-item
2019-03-02 11:36:33	ga_s2am_ard_3-2-1_50HPK_2019-03-02_final.stac-item
2019-04-14 11:47:04	ga_s2am_ard_3-2-1_50HPH_2019-04-14_final.stac-item
2019-09-10 12:14:54	ga_s2am_ard_3-2-1_49JGM_2019-09-10_final.stac-item
2019-10-08 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-10-08_final.stac-item
2019-10-31 11:45:50	ga_s2am_ard_3-2-1_50JQN_2019-10-31_final.stac-item
2019-11-23 11:56:00	ga_s2am_ard_3-2-1_50JKN_2019-11-23_final.stac-item
2019-12-06 12:03:21	ga_s2am_ard_3-2-1_50KMC_2019-12-06_final.stac-item
2019-12-20 11:43:30	ga_s2am_ard_3-2-1_51KVR_2019-12-20_final.stac-item
2020-02-24 12:04:23	ga_s2am_ard_3-2-1_49KHP_2020-02-24_final.stac-item
2020-03-25 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-03-25_final.stac-item
2020-05-25 11:32:20	ga_s2am_ard_3-2-1_51KWB_2020-05-25_final.stac-item
2020-05-31 11:56:14	ga_s2am_ard_3-2-1_50JMM_2020-05-31_final.stac-item
2020-07-03 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-07-03_final.stac-item
2020-07-17 11:42:32	ga_s2am_ard_3-2-1_51KVA_2020-07-17_final.stac-item
2020-07-24 11:35:46	ga_s2am_ard_3-2-1_51JVH_2020-07-24_final.stac-item
2020-08-22 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-08-22_final.stac-item
2020-10-28 11:56:16	ga_s2am_ard_3-2-1_50JLM_2020-10-28_final.stac-item
2020-11-13 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2020-11-13_final.stac-item
2020-11-20 12:05:17	ga_s2am_ard_3-2-1_49JGL_2020-11-20_final.stac-item
2020-12-18 11:24:00	ga_s2am_ard_3-2-1_51KWQ_2020-12-18_final.stac-item
2021-01-07 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2021-01-07_final.stac-item
2021-01-07 11:24:37	ga_s2am_ard_3-2-1_51JYM_2021-01-07_final.stac-item
2021-02-18 12:05:51	ga_s2am_ard_3-2-1_50JLN_2021-02-18_final.stac-item
2021-03-31 11:34:58	ga_s2am_ard_3-2-1_51JUL_2021-03-31_final.stac-item
2021-05-23 11:43:44	ga_s2am_ard_3-2-1_51KUR_2021-05-23_final.stac-item
2021-05-27 11:24:09	ga_s2am_ard_3-2-1_51KYP_2021-05-27_final.stac-item
2021-06-19 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-06-19_final.stac-item
2021-07-12 11:42:12	ga_s2am_ard_3-2-1_51KWB_2021-07-12_final.stac-item
2021-09-17 11:33:46	ga_s2am_ard_3-2-1_51KXR_2021-09-17_final.stac-item
2021-12-23 11:24:20	ga_s2am_ard_3-2-1_51JZN_2021-12-23_final.stac-item
2022-01-15 11:33:23	ga_s2am_ard_3-2-1_51KUT_2022-01-15_final.stac-item
2022-02-23 12:03:26	ga_s2am_ard_3-2-1_50KMC_2022-02-23_final.stac-item
2022-02-26 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2022-02-26_final.stac-item
2022-02-27 11:43:21	ga_s2am_ard_3-2-1_50KRC_2022-02-27_final.stac-item
2022-03-19 11:42:17	ga_s2am_ard_3-2-1_51KVB_2022-03-19_final.stac-item
2022-04-28 11:46:42	ga_s2am_ard_3-2-1_50HNK_2022-04-28_final.stac-item
2022-06-14 11:32:39	ga_s2am_ard_3-2-1_51KWA_2022-06-14_final.stac-item
2022-07-03 12:03:57	ga_s2am_ard_3-2-1_50KKB_2022-07-03_final.stac-item
2022-08-10 11:25:57	ga_s2am_ard_3-2-1_51JVH_2022-08-10_final.stac-item
2022-08-26 11:43:42	ga_s2am_ard_3-2-1_51KUS_2022-08-26_final.stac-item
2022-10-14 12:15:15	ga_s2am_ard_3-2-1_49JGL_2022-10-14_final.stac-item
2022-10-18 11:56:21	ga_s2am_ard_3-2-1_50JNL_2022-10-18_final.stac-item
2022-12-10 12:03:45	ga_s2am_ard_3-2-1_50KKB_2022-12-10_final.stac-item
2023-01-09 12:03:43	ga_s2am_ard_3-2-1_50KKB_2023-01-09_final.stac-item
2023-01-10 11:36:41	ga_s2am_ard_3-2-1_51HUD_2023-01-10_final.stac-item
2023-01-20 11:32:57	ga_s2am_ard_3-2-1_51KYT_2023-01-20_final.stac-item
2023-03-05 11:16:19	ga_s2am_ard_3-2-1_51HYE_2023-03-05_final
2023-04-26 11:53:10	ga_s2am_ard_3-2-1_50KRC_2023-04-26_final
2023-05-03 11:42:57	ga_s2am_ard_3-2-1_51KVU_2023-05-03_final
2023-05-20 11:32:17	ga_s2am_ard_3-2-1_51KWB_2023-05-20_final
2023-05-23 11:43:06	ga_s2am_ard_3-2-1_51KTU_2023-05-23_final
2023-06-01 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-01_final
2023-06-09 11:32:54	ga_s2am_ard_3-2-1_51KYU_2023-06-09_final
2023-06-15 11:57:17	ga_s2am_ard_3-2-1_50HLH_2023-06-15_final
2023-07-08 12:03:28	ga_s2am_ard_3-2-1_50KMC_2023-07-08_final
2023-10-07 11:32:26	ga_s2am_ard_3-2-1_51KXA_2023-10-07_final
2023-10-07 11:32:47	ga_s2am_ard_3-2-1_51KVV_2023-10-07_final
2023-10-26 12:04:42	ga_s2am_ard_3-2-1_49JHN_2023-10-26_final
2023-11-03 11:24:07	ga_s2am_ard_3-2-1_51KYP_2023-11-03_final
2023-11-26 11:32:41	ga_s2am_ard_3-2-1_51KVV_2023-11-26_final
2024-01-05 11:34:14	ga_s2am_ard_3-2-1_51KUP_2024-01-05_final
2024-01-08 11:43:54	ga_s2am_ard_3-2-1_51KUQ_2024-01-08_final
2024-01-28 11:47:05	ga_s2am_ard_3-2-1_50HMH_2024-01-28_final
2024-02-04 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2024-02-04_final
2024-03-05 11:36:18	ga_s2am_ard_3-2-1_51JTF_2024-03-05_final
2024-04-10 11:57:20	ga_s2am_ard_3-2-1_50HMG_2024-04-10_final
2024-04-14 11:34:02	ga_s2am_ard_3-2-1_51KVQ_2024-04-14_final
2024-04-14 11:35:58	ga_s2am_ard_3-2-1_51JVG_2024-04-14_final
2024-04-14 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2024-04-14_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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