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
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JKM_2016-03-16_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JVL_2016-04-06_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JVN_2016-04-06_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_51KYA_2016-05-23_final.stac-item
2016-06-02 11:26:14	ga_s2am_ard_3-2-1_51HUE_2016-06-02_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKN_2016-06-04_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KMA_2016-06-24_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JLM_2016-10-02_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KYS_2016-12-09_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWT_2016-12-22_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KWP_2017-01-08_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KXP_2017-01-08_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JNN_2017-02-26_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JXH_2017-03-19_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HLH_2017-05-04_final.stac-item
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KXT_2017-06-20_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HNH_2017-07-23_final.stac-item
2017-08-16 11:26:10	ga_s2am_ard_3-2-1_51JVF_2017-08-16_final.stac-item
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JVF_2017-09-15_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JVF_2017-10-05_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXN_2017-10-05_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JQL_2017-12-10_final.stac-item
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51JYL_2017-12-11_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KUQ_2017-12-30_final.stac-item
2018-01-16 11:35:56	ga_s2am_ard_3-2-1_51JVF_2018-01-16_final.stac-item
2018-02-07 12:14:38	ga_s2am_ard_3-2-1_49JGM_2018-02-07_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JZN_2018-02-19_final.stac-item
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50JQT_2018-02-28_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51JXJ_2018-03-11_final.stac-item
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_51HTC_2018-03-17_final.stac-item
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JLL_2018-04-22_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JVL_2018-05-26_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KQV_2018-06-08_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPP_2018-06-18_final.stac-item
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51HWE_2018-09-27_final.stac-item
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JFN_2018-10-25_final.stac-item
2019-01-18 11:24:28	ga_s2am_ard_3-2-1_51JZM_2019-01-18_final.stac-item
2019-03-15 11:45:21	ga_s2am_ard_3-2-1_50JNQ_2019-03-15_final.stac-item
2019-04-11 11:33:00	ga_s2am_ard_3-2-1_51KWU_2019-04-11_final.stac-item
2019-04-15 11:14:43	ga_s2am_ard_3-2-1_51JYM_2019-04-15_final.stac-item
2019-06-26 11:56:12	ga_s2am_ard_3-2-1_50JMM_2019-06-26_final.stac-item
2019-10-12 11:15:57	ga_s2am_ard_3-2-1_51JYG_2019-10-12_final.stac-item
2019-10-17 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-10-17_final.stac-item
2019-10-18 11:34:08	ga_s2am_ard_3-2-1_51KXP_2019-10-18_final.stac-item
2019-12-20 11:44:14	ga_s2am_ard_3-2-1_50KQU_2019-12-20_final.stac-item
2019-12-30 11:42:08	ga_s2am_ard_3-2-1_51KVB_2019-12-30_final.stac-item
2020-01-09 11:44:20	ga_s2am_ard_3-2-1_51JTN_2020-01-09_final.stac-item
2020-01-16 11:34:19	ga_s2am_ard_3-2-1_51JWN_2020-01-16_final.stac-item
2020-02-05 11:32:03	ga_s2am_ard_3-2-1_51KXB_2020-02-05_final.stac-item
2020-02-12 11:26:22	ga_s2am_ard_3-2-1_51HVE_2020-02-12_final.stac-item
2020-04-25 11:36:45	ga_s2am_ard_3-2-1_51HUD_2020-04-25_final.stac-item
2020-05-24 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-05-24_final.stac-item
2020-08-09 11:56:14	ga_s2am_ard_3-2-1_50JMM_2020-08-09_final.stac-item
2020-10-05 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-10-05_final.stac-item
2020-11-01 11:35:46	ga_s2am_ard_3-2-1_51JVH_2020-11-01_final.stac-item
2020-11-14 11:47:10	ga_s2am_ard_3-2-1_50HNH_2020-11-14_final.stac-item
2020-11-18 11:24:22	ga_s2am_ard_3-2-1_51JZN_2020-11-18_final.stac-item
2020-11-20 12:04:16	ga_s2am_ard_3-2-1_50KKV_2020-11-20_final.stac-item
2021-01-27 11:22:09	ga_s2am_ard_3-2-1_51KZB_2021-01-27_final.stac-item
2021-02-13 11:16:35	ga_s2am_ard_3-2-1_51HYD_2021-02-13_final.stac-item
2021-02-16 11:22:26	ga_s2am_ard_3-2-1_51KYA_2021-02-16_final.stac-item
2021-02-23 11:16:36	ga_s2am_ard_3-2-1_51HYD_2021-02-23_final.stac-item
2021-04-20 11:36:58	ga_s2am_ard_3-2-1_50HQH_2021-04-20_final.stac-item
2021-05-03 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2021-05-03_final.stac-item
2021-05-19 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-05-19_final.stac-item
2021-05-30 11:34:59	ga_s2am_ard_3-2-1_51JVL_2021-05-30_final.stac-item
2021-06-13 11:16:12	ga_s2am_ard_3-2-1_51JXF_2021-06-13_final.stac-item
2021-07-12 11:44:48	ga_s2am_ard_3-2-1_50JRS_2021-07-12_final.stac-item
2021-07-12 11:47:09	ga_s2am_ard_3-2-1_50HNH_2021-07-12_final.stac-item
2021-09-04 11:24:20	ga_s2am_ard_3-2-1_51JZN_2021-09-04_final.stac-item
2021-11-10 11:15:45	ga_s2am_ard_3-2-1_51JXH_2021-11-10_final.stac-item
2022-02-11 11:23:12	ga_s2am_ard_3-2-1_51KXT_2022-02-11_final.stac-item
2022-02-14 11:35:30	ga_s2am_ard_3-2-1_51JUJ_2022-02-14_final.stac-item
2022-03-29 11:44:08	ga_s2am_ard_3-2-1_50KQV_2022-03-29_final.stac-item
2022-03-30 11:16:10	ga_s2am_ard_3-2-1_51JYF_2022-03-30_final.stac-item
2022-04-01 11:54:25	ga_s2am_ard_3-2-1_50KNU_2022-04-01_final.stac-item
2022-05-18 11:44:07	ga_s2am_ard_3-2-1_50KRV_2022-05-18_final.stac-item
2022-06-01 11:24:19	ga_s2am_ard_3-2-1_51KXP_2022-06-01_final.stac-item
2022-06-17 11:44:56	ga_s2am_ard_3-2-1_51JTM_2022-06-17_final.stac-item
2022-08-16 11:46:06	ga_s2am_ard_3-2-1_50JNN_2022-08-16_final.stac-item
2022-08-19 11:56:35	ga_s2am_ard_3-2-1_50JML_2022-08-19_final.stac-item
2022-09-08 11:55:03	ga_s2am_ard_3-2-1_50JNS_2022-09-08_final.stac-item
2022-09-08 11:56:33	ga_s2am_ard_3-2-1_50JML_2022-09-08_final.stac-item
2022-09-29 11:24:37	ga_s2am_ard_3-2-1_51JWN_2022-09-29_final.stac-item
2022-11-30 12:06:10	ga_s2am_ard_3-2-1_50JKM_2022-11-30_final.stac-item
2022-12-04 13:21:44	ga_s2am_ard_3-2-1_47LKG_2022-12-04_interim
2023-01-10 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-01-10_final.stac-item
2023-02-22 11:42:25	ga_s2am_ard_3-2-1_51KVA_2023-02-22_final
2023-03-25 11:16:35	ga_s2am_ard_3-2-1_51HYD_2023-03-25_final
2023-03-30 12:06:08	ga_s2am_ard_3-2-1_50JKM_2023-03-30_final
2023-05-10 11:35:36	ga_s2am_ard_3-2-1_50JQP_2023-05-10_final
2023-05-27 11:27:05	ga_s2am_ard_3-2-1_51HUC_2023-05-27_final
2023-06-19 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2023-06-19_final
2023-10-10 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-10-10_final
2023-10-17 11:33:44	ga_s2am_ard_3-2-1_51KVR_2023-10-17_final
2023-11-12 11:55:49	ga_s2am_ard_3-2-1_50JNN_2023-11-12_final
2023-12-19 11:46:11	ga_s2am_ard_3-2-1_50JQL_2023-12-19_final
2024-01-25 11:34:15	ga_s2am_ard_3-2-1_51KUP_2024-01-25_final
2024-03-19 11:16:37	ga_s2am_ard_3-2-1_51HYD_2024-03-19_final
2024-04-13 12:05:31	ga_s2am_ard_3-2-1_49JGK_2024-04-13_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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