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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JZN_2015-11-25_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51KUS_2016-07-08_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNH_2016-07-28_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JGN_2016-09-22_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWN_2017-01-08_final.stac-item
2017-03-04 12:14:35	ga_s2am_ard_3-2-1_49JFN_2017-03-04_final.stac-item
2017-05-28 11:26:12	ga_s2am_ard_3-2-1_51HVE_2017-05-28_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KWP_2017-07-10_final.stac-item
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50KNC_2017-07-16_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HMK_2017-08-12_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JPQ_2017-08-25_final.stac-item
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HPK_2017-09-21_final.stac-item
2017-09-25 11:26:05	ga_s2am_ard_3-2-1_51JUF_2017-09-25_final.stac-item
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HPK_2017-09-28_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXK_2017-10-05_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KTQ_2017-12-30_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JYK_2018-02-02_final.stac-item
2018-02-05 11:35:59	ga_s2am_ard_3-2-1_51HVE_2018-02-05_final.stac-item
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KTS_2018-02-18_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50JQM_2018-02-25_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KVS_2018-02-25_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HLK_2018-05-02_final.stac-item
2018-05-16 11:26:23	ga_s2am_ard_3-2-1_51KYT_2018-05-16_final.stac-item
2018-05-25 12:02:51	ga_s2am_ard_3-2-1_50KLB_2018-05-25_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPS_2018-06-18_final.stac-item
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50HLH_2018-07-21_final.stac-item
2018-07-31 11:48:16	ga_s2am_ard_3-2-1_50KNC_2018-07-31_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50HMH_2018-08-30_final.stac-item
2019-02-13 11:42:57	ga_s2am_ard_3-2-1_51KUU_2019-02-13_final.stac-item
2019-02-20 11:34:02	ga_s2am_ard_3-2-1_51KXP_2019-02-20_final.stac-item
2019-03-02 11:33:04	ga_s2am_ard_3-2-1_51KXT_2019-03-02_final.stac-item
2019-05-04 11:46:41	ga_s2am_ard_3-2-1_50HNK_2019-05-04_final.stac-item
2019-06-27 11:26:22	ga_s2am_ard_3-2-1_51JUF_2019-06-27_final.stac-item
2019-07-13 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2019-07-13_final.stac-item
2019-11-20 11:44:32	ga_s2am_ard_3-2-1_50JRT_2019-11-20_final.stac-item
2019-12-14 11:24:22	ga_s2am_ard_3-2-1_51JXN_2019-12-14_final.stac-item
2019-12-20 11:44:10	ga_s2am_ard_3-2-1_51KTP_2019-12-20_final.stac-item
2019-12-21 11:14:35	ga_s2am_ard_3-2-1_51JYM_2019-12-21_final.stac-item
2020-01-06 11:32:56	ga_s2am_ard_3-2-1_51KVU_2020-01-06_final.stac-item
2020-01-29 11:43:36	ga_s2am_ard_3-2-1_51KUR_2020-01-29_final.stac-item
2020-03-19 11:45:21	ga_s2am_ard_3-2-1_50JNQ_2020-03-19_final.stac-item
2020-03-25 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-03-25_final.stac-item
2020-04-25 11:33:04	ga_s2am_ard_3-2-1_51KXT_2020-04-25_final.stac-item
2020-05-09 11:16:27	ga_s2am_ard_3-2-1_51HYE_2020-05-09_final.stac-item
2020-05-31 11:56:20	ga_s2am_ard_3-2-1_50JKM_2020-05-31_final.stac-item
2020-07-21 11:24:13	ga_s2am_ard_3-2-1_51KYP_2020-07-21_final.stac-item
2020-08-06 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-08-06_final.stac-item
2020-08-09 11:56:14	ga_s2am_ard_3-2-1_50JMM_2020-08-09_final.stac-item
2020-08-13 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-08-13_final.stac-item
2020-09-21 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-09-21_final.stac-item
2020-09-25 11:43:49	ga_s2am_ard_3-2-1_51KUR_2020-09-25_final.stac-item
2020-10-19 11:26:11	ga_s2am_ard_3-2-1_51JUG_2020-10-19_final.stac-item
2020-11-18 11:24:11	ga_s2am_ard_3-2-1_51KYP_2020-11-18_final.stac-item
2020-11-18 11:26:10	ga_s2am_ard_3-2-1_51JXF_2020-11-18_final.stac-item
2020-12-21 11:32:53	ga_s2am_ard_3-2-1_51KXU_2020-12-21_final.stac-item
2021-02-02 11:44:16	ga_s2am_ard_3-2-1_51KTP_2021-02-02_final.stac-item
2021-02-08 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-02-08_final.stac-item
2021-03-01 11:36:23	ga_s2am_ard_3-2-1_51HVE_2021-03-01_final.stac-item
2021-03-21 11:32:45	ga_s2am_ard_3-2-1_51KVV_2021-03-21_final.stac-item
2021-03-24 11:42:55	ga_s2am_ard_3-2-1_51KVU_2021-03-24_final.stac-item
2021-06-22 11:45:51	ga_s2am_ard_3-2-1_50JPN_2021-06-22_final.stac-item
2021-07-28 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2021-07-28_final.stac-item
2021-08-01 11:46:29	ga_s2am_ard_3-2-1_50JML_2021-08-01_final.stac-item
2021-08-07 12:05:15	ga_s2am_ard_3-2-1_50JKR_2021-08-07_final.stac-item
2021-08-07 12:05:40	ga_s2am_ard_3-2-1_50JLP_2021-08-07_final.stac-item
2021-08-17 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2021-08-17_final.stac-item
2021-09-27 11:33:52	ga_s2am_ard_3-2-1_51KUR_2021-09-27_final.stac-item
2022-01-15 11:32:44	ga_s2am_ard_3-2-1_51KWV_2022-01-15_final.stac-item
2022-01-15 11:32:59	ga_s2am_ard_3-2-1_51KWU_2022-01-15_final.stac-item
2022-02-01 11:24:23	ga_s2am_ard_3-2-1_51JYN_2022-02-01_final.stac-item
2022-03-03 11:25:28	ga_s2am_ard_3-2-1_51JXJ_2022-03-03_final.stac-item
2022-03-15 12:03:37	ga_s2am_ard_3-2-1_50KNB_2022-03-15_final.stac-item
2022-04-28 11:46:46	ga_s2am_ard_3-2-1_50HMK_2022-04-28_final.stac-item
2022-05-01 11:54:18	ga_s2am_ard_3-2-1_50KQU_2022-05-01_final.stac-item
2022-05-18 11:43:35	ga_s2am_ard_3-2-1_51KUS_2022-05-18_final.stac-item
2022-05-19 11:16:28	ga_s2am_ard_3-2-1_51HYE_2022-05-19_final.stac-item
2022-05-28 11:45:19	ga_s2am_ard_3-2-1_50JNR_2022-05-28_final.stac-item
2022-07-23 12:06:02	ga_s2am_ard_3-2-1_50JLN_2022-07-23_final.stac-item
2022-07-28 11:16:21	ga_s2am_ard_3-2-1_51JXF_2022-07-28_final.stac-item
2022-08-10 11:23:08	ga_s2am_ard_3-2-1_51KYU_2022-08-10_final.stac-item
2022-09-02 11:35:13	ga_s2am_ard_3-2-1_51JUL_2022-09-02_final.stac-item
2022-10-05 11:46:26	ga_s2am_ard_3-2-1_50JPL_2022-10-05_final.stac-item
2022-10-22 11:36:59	ga_s2am_ard_3-2-1_51HUC_2022-10-22_final.stac-item
2022-12-05 11:14:29	ga_s2am_ard_3-2-1_51JZN_2022-12-05_final.stac-item
2022-12-31 11:32:13	ga_s2am_ard_3-2-1_51KWB_2022-12-31_final.stac-item
2023-01-03 11:43:35	ga_s2am_ard_3-2-1_50KQB_2023-01-03_final.stac-item
2023-01-03 11:46:12	ga_s2am_ard_3-2-1_50JMM_2023-01-03_final.stac-item
2023-03-08 11:23:20	ga_s2am_ard_3-2-1_51KYS_2023-03-08_final
2023-03-31 11:34:30	ga_s2am_ard_3-2-1_51JUN_2023-03-31_final
2023-05-03 11:43:04	ga_s2am_ard_3-2-1_51KTU_2023-05-03_final
2023-05-06 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2023-05-06_final
2023-05-30 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-05-30_final
2023-06-05 11:55:50	ga_s2am_ard_3-2-1_50JKP_2023-06-05_final
2023-07-19 11:36:42	ga_s2am_ard_3-2-1_50HPK_2023-07-19_final
2023-08-01 11:43:09	ga_s2am_ard_3-2-1_51KTU_2023-08-01_final
2023-08-11 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2023-08-11_final
2023-11-16 11:33:07	ga_s2am_ard_3-2-1_51KXT_2023-11-16_final
2023-11-16 11:36:09	ga_s2am_ard_3-2-1_51JVF_2023-11-16_final
2024-01-25 11:33:10	ga_s2am_ard_3-2-1_51KVT_2024-01-25_final
2024-04-11 11:25:25	ga_s2am_ard_3-2-1_51JXJ_2024-04-11_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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