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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HPG_2016-01-07_final
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HPH_2016-01-07_final.stac-item
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGL_2016-01-29_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JKP_2016-02-02_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQK_2016-06-05_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKS_2016-07-14_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_50HPK_2016-07-15_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KHR_2016-07-27_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPK_2016-11-12_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KGP_2016-11-21_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JML_2016-12-15_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHP_2016-12-21_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50JKQ_2017-02-19_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49KGP_2017-06-19_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JKP_2017-08-25_final.stac-item
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JML_2017-10-04_final.stac-item
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50JKT_2017-11-06_final.stac-item
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JLM_2017-11-26_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHR_2017-12-16_final.stac-item
2018-02-07 12:13:40	ga_s2am_ard_3-2-1_49KGR_2018-02-07_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNH_2018-03-20_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HQJ_2018-03-30_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMH_2018-10-16_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMJ_2018-10-29_final.stac-item
2018-11-21 12:04:54	ga_s2am_ard_3-2-1_49JHM_2018-11-21_final.stac-item
2019-02-26 11:56:36	ga_s2am_ard_3-2-1_50HLK_2019-02-26_final.stac-item
2019-04-07 11:55:47	ga_s2am_ard_3-2-1_50JKP_2019-04-07_final.stac-item
2019-04-20 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-04-20_final.stac-item
2019-04-24 11:46:29	ga_s2am_ard_3-2-1_50JML_2019-04-24_final.stac-item
2019-05-03 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-05-03_final.stac-item
2019-05-07 11:56:26	ga_s2am_ard_3-2-1_50JML_2019-05-07_final.stac-item
2019-05-11 11:36:42	ga_s2am_ard_3-2-1_50HPK_2019-05-11_final.stac-item
2019-09-30 12:15:12	ga_s2am_ard_3-2-1_49JGL_2019-09-30_final.stac-item
2019-10-24 11:56:00	ga_s2am_ard_3-2-1_50JLN_2019-10-24_final.stac-item
2019-10-24 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-10-24_final.stac-item
2019-11-20 11:47:15	ga_s2am_ard_3-2-1_50HLH_2019-11-20_final.stac-item
2019-12-13 11:55:42	ga_s2am_ard_3-2-1_50JKP_2019-12-13_final.stac-item
2019-12-13 11:56:26	ga_s2am_ard_3-2-1_50HNK_2019-12-13_final.stac-item
2020-01-19 11:46:20	ga_s2am_ard_3-2-1_50JML_2020-01-19_final.stac-item
2020-01-19 11:46:24	ga_s2am_ard_3-2-1_50HQK_2020-01-19_final.stac-item
2020-02-01 11:56:29	ga_s2am_ard_3-2-1_50HMK_2020-02-01_final.stac-item
2020-05-27 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-05-27_final.stac-item
2020-07-03 12:05:56	ga_s2am_ard_3-2-1_50JLN_2020-07-03_final.stac-item
2020-07-03 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-07-03_final.stac-item
2020-07-10 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-07-10_final.stac-item
2020-07-30 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-07-30_final.stac-item
2020-10-01 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-10-01_final.stac-item
2020-10-31 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2020-10-31_final.stac-item
2020-11-17 11:56:14	ga_s2am_ard_3-2-1_50JLM_2020-11-17_final.stac-item
2020-12-20 12:05:36	ga_s2am_ard_3-2-1_50JLP_2020-12-20_final.stac-item
2021-01-19 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-19_final.stac-item
2021-01-26 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-26_final
2021-02-11 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2021-02-11_final.stac-item
2021-03-07 11:55:56	ga_s2am_ard_3-2-1_50JLN_2021-03-07_final.stac-item
2021-03-13 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2021-03-13_final.stac-item
2021-03-13 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-13_final.stac-item
2021-04-19 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2021-04-19_final.stac-item
2021-04-26 11:55:43	ga_s2am_ard_3-2-1_50JKP_2021-04-26_final.stac-item
2021-05-19 12:05:43	ga_s2am_ard_3-2-1_50JLP_2021-05-19_final.stac-item
2021-08-04 11:55:59	ga_s2am_ard_3-2-1_50JLN_2021-08-04_final.stac-item
2021-08-14 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-08-14_final.stac-item
2021-08-24 11:55:58	ga_s2am_ard_3-2-1_50JLN_2021-08-24_final.stac-item
2021-08-31 11:47:22	ga_s2am_ard_3-2-1_50HNG_2021-08-31_final
2021-09-09 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-09-09_final.stac-item
2021-10-03 11:57:10	ga_s2am_ard_3-2-1_50HMH_2021-10-03_final.stac-item
2021-11-26 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-11-26_final.stac-item
2021-12-02 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-12-02_final.stac-item
2021-12-05 12:06:03	ga_s2am_ard_3-2-1_50JLM_2021-12-05_final.stac-item
2021-12-19 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-12-19_final
2022-01-01 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-01-01_final.stac-item
2022-01-11 11:56:41	ga_s2am_ard_3-2-1_50HLK_2022-01-11_final.stac-item
2022-01-31 11:57:09	ga_s2am_ard_3-2-1_50HLH_2022-01-31_final.stac-item
2022-02-17 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2022-02-17_final.stac-item
2022-04-11 11:57:10	ga_s2am_ard_3-2-1_50HLH_2022-04-11_final.stac-item
2022-04-18 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-04-18_final.stac-item
2022-05-21 11:56:01	ga_s2am_ard_3-2-1_50JLN_2022-05-21_final.stac-item
2022-05-28 11:47:01	ga_s2am_ard_3-2-1_50HQH_2022-05-28_final.stac-item
2022-06-06 12:15:18	ga_s2am_ard_3-2-1_49JGL_2022-06-06_final.stac-item
2022-06-10 11:55:36	ga_s2am_ard_3-2-1_50JLQ_2022-06-10_final.stac-item
2022-07-04 11:37:20	ga_s2am_ard_3-2-1_50HPH_2022-07-04_final.stac-item
2022-07-10 11:56:35	ga_s2am_ard_3-2-1_50JML_2022-07-10_final.stac-item
2022-07-26 12:15:10	ga_s2am_ard_3-2-1_49JFM_2022-07-26_final.stac-item
2022-08-25 12:15:23	ga_s2am_ard_3-2-1_49JGL_2022-08-25_final.stac-item
2022-11-03 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-11-03_final.stac-item
2022-11-27 11:54:44	ga_s2am_ard_3-2-1_50JLT_2022-11-27_final.stac-item
2022-12-20 12:04:26	ga_s2am_ard_3-2-1_49KHP_2022-12-20_final.stac-item
2022-12-20 12:04:55	ga_s2am_ard_3-2-1_49JHM_2022-12-20_final.stac-item
2023-01-26 11:57:03	ga_s2am_ard_3-2-1_50HMH_2023-01-26_final.stac-item
2023-02-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-02-02_final
2023-02-05 11:55:56	ga_s2am_ard_3-2-1_50JLN_2023-02-05_final
2023-05-26 11:56:25	ga_s2am_ard_3-2-1_50JML_2023-05-26_final
2023-07-18 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2023-07-18_final
2023-11-05 12:05:51	ga_s2am_ard_3-2-1_50JLN_2023-11-05_final
2023-11-09 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-11-09_final
2024-01-28 11:46:57	ga_s2am_ard_3-2-1_50HPH_2024-01-28_final
2024-02-10 11:56:26	ga_s2am_ard_3-2-1_50HNK_2024-02-10_final
2024-02-20 11:57:20	ga_s2am_ard_3-2-1_50HLG_2024-02-20_final
2024-02-23 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2024-02-23_final
2024-02-27 11:47:01	ga_s2am_ard_3-2-1_50HPH_2024-02-27_final
2024-04-07 11:46:57	ga_s2am_ard_3-2-1_50HNH_2024-04-07_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

All years