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
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HMJ_2016-01-03_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JHN_2016-04-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JKN_2016-05-22_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JPL_2016-06-05_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51HUC_2016-07-15_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50JQL_2016-09-13_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50KMC_2016-11-21_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50JPL_2016-12-25_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KTP_2017-01-24_final.stac-item
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_51KTU_2017-03-05_final.stac-item
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JMP_2017-03-18_final.stac-item
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JLL_2017-10-04_final.stac-item
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49JGN_2017-10-10_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50KKA_2017-10-17_final.stac-item
2018-01-22 11:56:02	ga_s2am_ard_3-2-1_50HNK_2018-01-22_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JLL_2018-03-13_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JLN_2018-05-05_final.stac-item
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-05-18_final.stac-item
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KMB_2018-06-11_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50KNC_2018-07-01_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50JML_2018-07-18_final.stac-item
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_51KUU_2018-08-27_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPH_2018-09-06_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JML_2018-09-19_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51JTH_2018-09-23_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-02_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50JQL_2018-10-13_final.stac-item
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51HVE_2018-10-20_final.stac-item
2018-11-15 11:43:14	ga_s2am_ard_3-2-1_50KRC_2018-11-15_final.stac-item
2018-12-29 11:26:33	ga_s2am_ard_3-2-1_51HWD_2018-12-29_final.stac-item
2019-01-04 11:46:28	ga_s2am_ard_3-2-1_50HPK_2019-01-04_final.stac-item
2019-04-01 11:36:32	ga_s2am_ard_3-2-1_51HTE_2019-04-01_final.stac-item
2019-05-11 11:36:30	ga_s2am_ard_3-2-1_50JPL_2019-05-11_final.stac-item
2019-05-17 11:56:15	ga_s2am_ard_3-2-1_50JLM_2019-05-17_final.stac-item
2019-05-23 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-05-23_final.stac-item
2019-07-10 11:36:39	ga_s2am_ard_3-2-1_50HQK_2019-07-10_final.stac-item
2019-07-27 11:27:07	ga_s2am_ard_3-2-1_51HUC_2019-07-27_final.stac-item
2019-08-26 11:25:11	ga_s2am_ard_3-2-1_51JXK_2019-08-26_final.stac-item
2019-10-31 11:46:29	ga_s2am_ard_3-2-1_50JML_2019-10-31_final.stac-item
2019-10-31 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-31_final.stac-item
2019-11-23 11:55:03	ga_s2am_ard_3-2-1_50JPR_2019-11-23_final.stac-item
2020-02-18 11:46:37	ga_s2am_ard_3-2-1_50HNK_2020-02-18_final.stac-item
2020-02-25 11:33:17	ga_s2am_ard_3-2-1_51KUT_2020-02-25_final.stac-item
2020-04-01 11:53:31	ga_s2am_ard_3-2-1_50KPB_2020-04-01_final.stac-item
2020-05-17 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-05-17_final.stac-item
2020-05-18 11:42:33	ga_s2am_ard_3-2-1_51KVA_2020-05-18_final.stac-item
2020-06-07 11:43:25	ga_s2am_ard_3-2-1_50KRC_2020-06-07_final.stac-item
2020-06-14 11:34:54	ga_s2am_ard_3-2-1_51JVL_2020-06-14_final.stac-item
2020-07-03 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-07-03_final.stac-item
2020-08-16 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-08-16_final.stac-item
2020-08-19 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-08-19_final.stac-item
2020-09-15 11:44:02	ga_s2am_ard_3-2-1_51KUQ_2020-09-15_final.stac-item
2020-10-11 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-10-11_final.stac-item
2020-11-08 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2020-11-08_final.stac-item
2020-11-21 11:36:38	ga_s2am_ard_3-2-1_50HPK_2020-11-21_final.stac-item
2021-01-29 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-01-29_final.stac-item
2021-02-08 12:05:07	ga_s2am_ard_3-2-1_50JLR_2021-02-08_final.stac-item
2021-02-19 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-02-19_final.stac-item
2021-04-16 11:53:15	ga_s2am_ard_3-2-1_50KPC_2021-04-16_final.stac-item
2021-04-23 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2021-04-23_final.stac-item
2021-05-24 11:14:24	ga_s2am_ard_3-2-1_51JZN_2021-05-24_final.stac-item
2021-07-22 11:43:03	ga_s2am_ard_3-2-1_51KUU_2021-07-22_final.stac-item
2021-08-02 11:16:11	ga_s2am_ard_3-2-1_51JYF_2021-08-02_final.stac-item
2021-09-27 11:36:18	ga_s2am_ard_3-2-1_51JUF_2021-09-27_final.stac-item
2021-10-16 12:05:46	ga_s2am_ard_3-2-1_50JKP_2021-10-16_final.stac-item
2021-11-03 11:26:40	ga_s2am_ard_3-2-1_51HXD_2021-11-03_final.stac-item
2021-12-12 11:53:24	ga_s2am_ard_3-2-1_50KNC_2021-12-12_final.stac-item
2021-12-16 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2021-12-16_final.stac-item
2022-01-08 11:46:24	ga_s2am_ard_3-2-1_50JNL_2022-01-08_final.stac-item
2022-01-14 12:04:00	ga_s2am_ard_3-2-1_50KKA_2022-01-14_final.stac-item
2022-02-11 11:25:02	ga_s2am_ard_3-2-1_51JVL_2022-02-11_final.stac-item
2022-03-22 11:53:20	ga_s2am_ard_3-2-1_50KQC_2022-03-22_final.stac-item
2022-04-11 11:55:48	ga_s2am_ard_3-2-1_50JKP_2022-04-11_final.stac-item
2022-05-25 11:37:05	ga_s2am_ard_3-2-1_51HUC_2022-05-25_final.stac-item
2022-06-17 11:44:13	ga_s2am_ard_3-2-1_51KTQ_2022-06-17_final.stac-item
2022-06-24 11:36:55	ga_s2am_ard_3-2-1_51HUD_2022-06-24_final.stac-item
2022-07-06 12:14:07	ga_s2am_ard_3-2-1_50KKA_2022-07-06_final.stac-item
2022-07-17 11:43:30	ga_s2am_ard_3-2-1_50KRC_2022-07-17_final.stac-item
2022-11-05 11:14:27	ga_s2am_ard_3-2-1_51JZN_2022-11-05_final.stac-item
2022-11-10 12:05:15	ga_s2am_ard_3-2-1_50JKR_2022-11-10_final.stac-item
2022-11-24 11:43:18	ga_s2am_ard_3-2-1_50KRC_2022-11-24_final.stac-item
2022-12-11 11:34:25	ga_s2am_ard_3-2-1_51JWN_2022-12-11_final.stac-item
2023-02-08 12:05:40	ga_s2am_ard_3-2-1_50JKP_2023-02-08_final
2023-02-13 11:16:20	ga_s2am_ard_3-2-1_51HYE_2023-02-13_final
2023-02-15 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-02-15_nrt.stac-item
2023-02-15 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-02-15_final
2023-03-04 11:45:00	ga_s2am_ard_3-2-1_51JTL_2023-03-04_final
2023-04-13 11:46:19	ga_s2am_ard_3-2-1_50JPL_2023-04-13_final
2023-05-07 11:24:29	ga_s2am_ard_3-2-1_51JWN_2023-05-07_final
2023-05-20 11:34:51	ga_s2am_ard_3-2-1_50JRS_2023-05-20_final
2023-07-05 11:55:25	ga_s2am_ard_3-2-1_50JNQ_2023-07-05_final
2023-08-11 11:43:08	ga_s2am_ard_3-2-1_51KTU_2023-08-11_final
2023-11-10 11:14:28	ga_s2am_ard_3-2-1_51JYN_2023-11-10_final
2023-11-23 11:26:54	ga_s2am_ard_3-2-1_51HVC_2023-11-23_final
2023-12-06 11:35:12	ga_s2am_ard_3-2-1_51JTK_2023-12-06_final
2023-12-12 11:53:20	ga_s2am_ard_3-2-1_50KNC_2023-12-12_final
2023-12-22 11:52:24	ga_s2am_ard_3-2-1_50KQF_2023-12-22_final
2024-02-03 12:03:19	ga_s2am_ard_3-2-1_50KMC_2024-02-03_final
2024-03-05 11:36:14	ga_s2am_ard_3-2-1_51JUF_2024-03-05_final
2024-03-18 11:45:40	ga_s2am_ard_3-2-1_50JNP_2024-03-18_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

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