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
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50JPL_2016-03-07_final.stac-item
2016-03-22 10:43:04	ga_s2am_ard_3-2-1_53JNM_2016-03-22_final.stac-item
2016-06-03 10:52:21	ga_s2am_ard_3-2-1_52KHF_2016-06-03_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_51KZP_2016-11-29_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KWT_2017-01-01_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KXA_2017-01-01_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JDT_2017-01-25_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HNH_2017-02-13_final.stac-item
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGK_2017-03-21_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGL_2017-10-07_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KWT_2017-11-07_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KWT_2018-01-26_final.stac-item
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_52KDB_2018-03-21_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KYU_2018-05-26_final.stac-item
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52KEA_2018-06-06_final.stac-item
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51KVS_2018-06-25_final.stac-item
2018-07-30 10:37:28	ga_s2am_ard_3-2-1_53JLF_2018-07-30_final.stac-item
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51KXS_2018-08-14_final.stac-item
2018-12-12 11:32:42	ga_s2am_ard_3-2-1_51KYU_2018-12-12_final.stac-item
2018-12-18 11:53:02	ga_s2am_ard_3-2-1_50KRC_2018-12-18_final.stac-item
2018-12-23 11:00:22	ga_s2am_ard_3-2-1_52LHN_2018-12-23_final.stac-item
2018-12-27 10:45:40	ga_s2am_ard_3-2-1_52JGM_2018-12-27_final.stac-item
2019-02-20 11:33:41	ga_s2am_ard_3-2-1_51KVR_2019-02-20_final.stac-item
2019-02-22 10:34:00	ga_s2am_ard_3-2-1_53JQN_2019-02-22_final.stac-item
2019-03-03 11:00:25	ga_s2am_ard_3-2-1_52LHN_2019-03-03_final.stac-item
2019-04-08 11:23:40	ga_s2am_ard_3-2-1_51KYR_2019-04-08_final.stac-item
2019-04-15 11:13:56	ga_s2am_ard_3-2-1_51KZQ_2019-04-15_final.stac-item
2019-08-08 10:24:44	ga_s2am_ard_3-2-1_53JQL_2019-08-08_final.stac-item
2019-10-08 11:33:30	ga_s2am_ard_3-2-1_51KWS_2019-10-08_final.stac-item
2019-12-07 11:36:55	ga_s2am_ard_3-2-1_51HUC_2019-12-07_final.stac-item
2019-12-11 11:13:30	ga_s2am_ard_3-2-1_52KDA_2019-12-11_final.stac-item
2020-01-13 11:22:55	ga_s2am_ard_3-2-1_51KXU_2020-01-13_final.stac-item
2020-01-15 12:03:38	ga_s2am_ard_3-2-1_50KKB_2020-01-15_final.stac-item
2020-01-21 10:44:14	ga_s2am_ard_3-2-1_53JNM_2020-01-21_final.stac-item
2020-01-30 11:13:47	ga_s2am_ard_3-2-1_51KZQ_2020-01-30_final.stac-item
2020-02-03 10:54:04	ga_s2am_ard_3-2-1_52JHT_2020-02-03_final.stac-item
2020-03-03 11:22:51	ga_s2am_ard_3-2-1_51KYU_2020-03-03_final.stac-item
2020-03-15 10:26:28	ga_s2am_ard_3-2-1_53HQC_2020-03-15_final.stac-item
2020-05-09 11:13:41	ga_s2am_ard_3-2-1_52KCA_2020-05-09_final.stac-item
2020-06-24 11:33:06	ga_s2am_ard_3-2-1_51KYT_2020-06-24_final.stac-item
2020-07-01 11:24:10	ga_s2am_ard_3-2-1_51KZP_2020-07-01_final.stac-item
2020-08-06 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-08-06_final.stac-item
2020-08-12 10:25:11	ga_s2am_ard_3-2-1_53JQJ_2020-08-12_final.stac-item
2020-08-14 11:03:40	ga_s2am_ard_3-2-1_52KEA_2020-08-14_final.stac-item
2020-09-06 11:13:39	ga_s2am_ard_3-2-1_52KDA_2020-09-06_final.stac-item
2020-09-06 11:13:58	ga_s2am_ard_3-2-1_52KBV_2020-09-06_final.stac-item
2020-10-29 11:23:55	ga_s2am_ard_3-2-1_52KBV_2020-10-29_final.stac-item
2020-12-24 11:43:10	ga_s2am_ard_3-2-1_51KVT_2020-12-24_final.stac-item
2020-12-26 10:45:43	ga_s2am_ard_3-2-1_53JKG_2020-12-26_final.stac-item
2021-01-04 11:16:44	ga_s2am_ard_3-2-1_51HWD_2021-01-04_final.stac-item
2021-01-07 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2021-01-07_final.stac-item
2021-01-26 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-01-26_final
2021-02-23 11:10:43	ga_s2am_ard_3-2-1_52LGM_2021-02-23_final.stac-item
2021-03-28 11:24:13	ga_s2am_ard_3-2-1_51KWP_2021-03-28_final.stac-item
2021-04-27 11:23:17	ga_s2am_ard_3-2-1_52KBB_2021-04-27_final.stac-item
2021-05-07 11:23:52	ga_s2am_ard_3-2-1_51KYQ_2021-05-07_final.stac-item
2021-05-19 10:24:40	ga_s2am_ard_3-2-1_53JQL_2021-05-19_final.stac-item
2021-05-27 11:23:36	ga_s2am_ard_3-2-1_51KZR_2021-05-27_final.stac-item
2021-07-02 11:46:39	ga_s2am_ard_3-2-1_50HNK_2021-07-02_final.stac-item
2021-07-06 11:23:45	ga_s2am_ard_3-2-1_51KXR_2021-07-06_final.stac-item
2021-07-13 11:13:51	ga_s2am_ard_3-2-1_52KDV_2021-07-13_final.stac-item
2021-07-23 11:16:40	ga_s2am_ard_3-2-1_51HYD_2021-07-23_final.stac-item
2021-07-30 11:03:23	ga_s2am_ard_3-2-1_52KEB_2021-07-30_final.stac-item
2021-10-17 11:33:07	ga_s2am_ard_3-2-1_51KVU_2021-10-17_final.stac-item
2021-11-03 11:23:43	ga_s2am_ard_3-2-1_51KYR_2021-11-03_final.stac-item
2021-11-23 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2021-11-23_final.stac-item
2021-12-16 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-12-16_final.stac-item
2022-01-15 11:33:35	ga_s2am_ard_3-2-1_51KUS_2022-01-15_final.stac-item
2022-02-08 11:14:08	ga_s2am_ard_3-2-1_52KBU_2022-02-08_final.stac-item
2022-02-17 11:43:30	ga_s2am_ard_3-2-1_51KUS_2022-02-17_final.stac-item
2022-02-23 10:24:42	ga_s2am_ard_3-2-1_53JQL_2022-02-23_final.stac-item
2022-03-09 11:41:01	ga_s2am_ard_3-2-1_51LWG_2022-03-09_final
2022-04-17 10:34:22	ga_s2am_ard_3-2-1_53JQM_2022-04-17_final.stac-item
2022-05-15 11:33:42	ga_s2am_ard_3-2-1_51KXR_2022-05-15_final.stac-item
2022-06-08 11:13:23	ga_s2am_ard_3-2-1_52KEB_2022-06-08_final.stac-item
2022-07-03 10:24:53	ga_s2am_ard_3-2-1_53JQL_2022-07-03_final.stac-item
2022-08-05 10:34:36	ga_s2am_ard_3-2-1_53JNM_2022-08-05_final.stac-item
2022-09-09 11:23:46	ga_s2am_ard_3-2-1_52KBA_2022-09-09_final.stac-item
2022-10-29 11:23:28	ga_s2am_ard_3-2-1_51KYS_2022-10-29_final.stac-item
2022-11-11 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2022-11-11_final.stac-item
2022-11-12 11:02:43	ga_s2am_ard_3-2-1_52KHD_2022-11-12_final.stac-item
2022-11-25 11:14:28	ga_s2am_ard_3-2-1_51JYN_2022-11-25_final.stac-item
2023-01-10 11:34:16	ga_s2am_ard_3-2-1_51KUP_2023-01-10_final.stac-item
2023-01-17 11:23:17	ga_s2am_ard_3-2-1_51KZS_2023-01-17_final.stac-item
2023-01-23 11:43:18	ga_s2am_ard_3-2-1_50KQC_2023-01-23_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_50KKB_2023-04-19_final
2023-05-14 11:13:15	ga_s2am_ard_3-2-1_52KEB_2023-05-14_final
2023-05-14 11:13:19	ga_s2am_ard_3-2-1_52KDB_2023-05-14_final
2023-06-01 10:34:29	ga_s2am_ard_3-2-1_53JNM_2023-06-01_final
2023-08-30 10:35:43	ga_s2am_ard_3-2-1_53JNG_2023-08-30_final
2023-11-21 10:45:40	ga_s2am_ard_3-2-1_53JKG_2023-11-21_final
2023-12-23 11:23:46	ga_s2am_ard_3-2-1_52KBV_2023-12-23_final
2024-01-06 11:03:16	ga_s2am_ard_3-2-1_52KEB_2024-01-06_final
2024-01-09 11:13:50	ga_s2am_ard_3-2-1_52KBV_2024-01-09_final
2024-01-28 11:40:52	ga_s2am_ard_3-2-1_51LWG_2024-01-28_final
2024-02-04 11:32:15	ga_s2am_ard_3-2-1_51KVB_2024-02-04_final
2024-02-18 11:14:07	ga_s2am_ard_3-2-1_51KZP_2024-02-18_final
2024-02-24 11:33:11	ga_s2am_ard_3-2-1_51KWT_2024-02-24_final
2024-03-29 11:14:09	ga_s2am_ard_3-2-1_51KZP_2024-03-29_final
2024-05-14 11:33:25	ga_s2am_ard_3-2-1_51KUT_2024-05-14_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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