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_50KKB_2016-03-16_final.stac-item
2016-04-26 11:36:07	ga_s2am_ard_3-2-1_51HTE_2016-04-26_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JYM_2016-07-09_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HPH_2016-08-04_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HQJ_2016-10-03_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_51KYQ_2016-11-29_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQH_2016-12-12_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JYK_2016-12-26_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JYM_2016-12-26_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWK_2017-01-08_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51JTF_2017-05-11_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_50JKQ_2017-05-20_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50JMM_2017-07-23_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50JLR_2017-09-07_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JVG_2017-10-05_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JYH_2017-10-05_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKM_2018-03-16_final.stac-item
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51KVB_2018-03-20_final.stac-item
2018-04-03 11:16:59	ga_s2am_ard_3-2-1_51KXU_2018-04-03_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HPH_2018-06-18_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2018-07-24_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGN_2018-10-12_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51JTM_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KVV_2018-10-26_final.stac-item
2018-11-08 11:54:09	ga_s2am_ard_3-2-1_50KQU_2018-11-08_final.stac-item
2018-11-09 11:25:05	ga_s2am_ard_3-2-1_51JXK_2018-11-09_final.stac-item
2018-11-11 12:04:52	ga_s2am_ard_3-2-1_50JKS_2018-11-11_final.stac-item
2018-11-11 12:05:46	ga_s2am_ard_3-2-1_50JLN_2018-11-11_final.stac-item
2018-11-21 12:05:34	ga_s2am_ard_3-2-1_50JKP_2018-11-21_final.stac-item
2018-12-06 11:16:28	ga_s2am_ard_3-2-1_51HYD_2018-12-06_final.stac-item
2018-12-15 11:46:54	ga_s2am_ard_3-2-1_50HPH_2018-12-15_final.stac-item
2018-12-22 11:32:32	ga_s2am_ard_3-2-1_51KXV_2018-12-22_final.stac-item
2019-04-17 11:56:32	ga_s2am_ard_3-2-1_50HNK_2019-04-17_final.stac-item
2019-06-26 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-06-26_final.stac-item
2019-08-19 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-08-19_final.stac-item
2019-09-22 11:16:37	ga_s2am_ard_3-2-1_51HYD_2019-09-22_final.stac-item
2019-10-18 11:34:08	ga_s2am_ard_3-2-1_51KXP_2019-10-18_final.stac-item
2019-11-30 11:42:12	ga_s2am_ard_3-2-1_51KVB_2019-11-30_final.stac-item
2019-11-30 11:42:20	ga_s2am_ard_3-2-1_51KWA_2019-11-30_final.stac-item
2020-01-16 11:33:39	ga_s2am_ard_3-2-1_51KVR_2020-01-16_final.stac-item
2020-02-12 11:26:51	ga_s2am_ard_3-2-1_51HVC_2020-02-12_final.stac-item
2020-02-12 11:26:54	ga_s2am_ard_3-2-1_51HUC_2020-02-12_final.stac-item
2020-02-18 11:44:25	ga_s2am_ard_3-2-1_51JTN_2020-02-18_final.stac-item
2020-03-29 11:46:30	ga_s2am_ard_3-2-1_50HPK_2020-03-29_final.stac-item
2020-04-25 11:36:48	ga_s2am_ard_3-2-1_51HTD_2020-04-25_final.stac-item
2020-05-24 12:04:34	ga_s2am_ard_3-2-1_50KKU_2020-05-24_final.stac-item
2020-05-25 11:36:20	ga_s2am_ard_3-2-1_51JUF_2020-05-25_final.stac-item
2020-06-25 11:06:43	ga_s2am_ard_3-2-1_51HYD_2020-06-25_final.stac-item
2020-07-17 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2020-07-17_final.stac-item
2020-08-06 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-08-06_final.stac-item
2020-08-16 11:46:00	ga_s2am_ard_3-2-1_50JNN_2020-08-16_final.stac-item
2020-09-22 11:34:16	ga_s2am_ard_3-2-1_51KWP_2020-09-22_final.stac-item
2020-10-21 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-10-21_final.stac-item
2021-01-10 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-01-10_final.stac-item
2021-01-30 11:32:44	ga_s2am_ard_3-2-1_51KWV_2021-01-30_final.stac-item
2021-02-02 11:43:22	ga_s2am_ard_3-2-1_50KQC_2021-02-02_final.stac-item
2021-02-02 11:46:15	ga_s2am_ard_3-2-1_50JQL_2021-02-02_final.stac-item
2021-02-12 11:43:50	ga_s2am_ard_3-2-1_50KQA_2021-02-12_final.stac-item
2021-03-08 11:26:29	ga_s2am_ard_3-2-1_51HVE_2021-03-08_final.stac-item
2021-04-13 11:44:05	ga_s2am_ard_3-2-1_50KPV_2021-04-13_final.stac-item
2021-05-07 11:26:34	ga_s2am_ard_3-2-1_51HXD_2021-05-07_final.stac-item
2021-07-13 11:14:44	ga_s2am_ard_3-2-1_51JYM_2021-07-13_final.stac-item
2021-09-17 11:37:05	ga_s2am_ard_3-2-1_50HQH_2021-09-17_final.stac-item
2021-09-26 12:05:33	ga_s2am_ard_3-2-1_49JGK_2021-09-26_final.stac-item
2021-10-01 11:16:41	ga_s2am_ard_3-2-1_51HYD_2021-10-01_final.stac-item
2021-10-26 12:06:00	ga_s2am_ard_3-2-1_50JKN_2021-10-26_final.stac-item
2022-02-01 11:26:29	ga_s2am_ard_3-2-1_51HVE_2022-02-01_final.stac-item
2022-02-28 11:15:33	ga_s2am_ard_3-2-1_51JXJ_2022-02-28_final.stac-item
2022-03-26 11:36:22	ga_s2am_ard_3-2-1_50JQL_2022-03-26_final.stac-item
2022-03-29 11:46:32	ga_s2am_ard_3-2-1_50HQK_2022-03-29_final.stac-item
2022-04-28 11:44:10	ga_s2am_ard_3-2-1_50KQV_2022-04-28_final.stac-item
2022-05-12 11:26:33	ga_s2am_ard_3-2-1_51HVE_2022-05-12_final.stac-item
2022-06-01 11:26:26	ga_s2am_ard_3-2-1_51JUF_2022-06-01_final.stac-item
2022-06-03 12:05:52	ga_s2am_ard_3-2-1_49JGJ_2022-06-03_final.stac-item
2022-06-18 11:15:22	ga_s2am_ard_3-2-1_51JYK_2022-06-18_final.stac-item
2022-06-18 11:16:48	ga_s2am_ard_3-2-1_51HYD_2022-06-18_final.stac-item
2022-09-05 11:45:23	ga_s2am_ard_3-2-1_50JNR_2022-09-05_final.stac-item
2022-10-25 11:46:22	ga_s2am_ard_3-2-1_50JPL_2022-10-25_final.stac-item
2022-11-07 11:56:00	ga_s2am_ard_3-2-1_50JLN_2022-11-07_final.stac-item
2023-01-26 13:31:35	ga_s2am_ard_3-2-1_47LKG_2023-01-26_interim
2023-01-27 11:25:03	ga_s2am_ard_3-2-1_51JYK_2023-01-27_final.stac-item
2023-02-28 12:05:35	ga_s2am_ard_3-2-1_50JLP_2023-02-28_final
2023-04-13 11:44:05	ga_s2am_ard_3-2-1_50KQV_2023-04-13_final
2023-06-18 12:03:56	ga_s2am_ard_3-2-1_50KMA_2023-06-18_final
2023-06-18 12:04:32	ga_s2am_ard_3-2-1_49KHP_2023-06-18_final
2023-06-26 11:24:18	ga_s2am_ard_3-2-1_51KWP_2023-06-26_final
2023-06-29 11:32:26	ga_s2am_ard_3-2-1_51KYA_2023-06-29_final
2023-07-25 11:55:47	ga_s2am_ard_3-2-1_50JLP_2023-07-25_final
2023-09-16 12:05:12	ga_s2am_ard_3-2-1_49JFM_2023-09-16_final
2023-10-20 11:43:11	ga_s2am_ard_3-2-1_51KVT_2023-10-20_final
2023-11-02 11:57:13	ga_s2am_ard_3-2-1_49HGC_2023-11-02_nrt
2023-11-26 11:36:26	ga_s2am_ard_3-2-1_51HTE_2023-11-26_final
2023-12-10 11:16:32	ga_s2am_ard_3-2-1_51HYD_2023-12-10_final
2024-01-02 11:25:57	ga_s2am_ard_3-2-1_51JVG_2024-01-02_final
2024-01-05 11:32:29	ga_s2am_ard_3-2-1_51KVA_2024-01-05_final
2024-01-05 11:36:54	ga_s2am_ard_3-2-1_51HUC_2024-01-05_final
2024-02-24 11:37:05	ga_s2am_ard_3-2-1_50HPH_2024-02-24_final
2024-03-08 11:44:31	ga_s2am_ard_3-2-1_51JTN_2024-03-08_final
2024-03-09 11:16:31	ga_s2am_ard_3-2-1_51HWE_2024-03-09_final
2024-04-18 11:16:40	ga_s2am_ard_3-2-1_51HYD_2024-04-18_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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