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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JHM_2015-12-17_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLQ_2016-03-03_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLS_2016-03-06_final.stac-item
2016-04-22 11:56:28	ga_s2am_ard_3-2-1_50HMK_2016-04-22_final.stac-item
2016-04-22 11:56:28	ga_s2am_ard_3-2-1_50HNK_2016-04-22_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HMK_2016-07-01_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JKQ_2016-08-23_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHN_2016-09-12_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JMQ_2016-09-19_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JLS_2016-10-02_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKS_2016-10-22_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JLQ_2016-11-28_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHQ_2017-01-20_final.stac-item
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_50HQK_2017-02-20_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HMK_2017-02-26_final.stac-item
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_50JLS_2017-03-01_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_50JLQ_2017-06-09_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKS_2017-08-18_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JMS_2017-08-25_final.stac-item
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JHM_2017-09-17_final.stac-item
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_50JKT_2017-10-27_final.stac-item
2017-11-16 12:03:45	ga_s2am_ard_3-2-1_49KHQ_2017-11-16_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JLQ_2017-11-26_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JLR_2017-12-23_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKQ_2017-12-26_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KGQ_2018-01-05_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-02-14_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-03-06_final.stac-item
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_50JNL_2018-04-19_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKQ_2018-04-25_final.stac-item
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50JLR_2018-05-12_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JKR_2018-05-15_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HMH_2018-06-21_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2018-09-02_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JLQ_2018-09-02_final.stac-item
2018-11-21 12:04:45	ga_s2am_ard_3-2-1_50JLS_2018-11-21_final.stac-item
2018-12-08 11:55:16	ga_s2am_ard_3-2-1_50JMQ_2018-12-08_final.stac-item
2019-01-11 11:36:37	ga_s2am_ard_3-2-1_50HQJ_2019-01-11_final.stac-item
2019-01-14 11:45:50	ga_s2am_ard_3-2-1_50JNN_2019-01-14_final.stac-item
2019-03-11 12:05:07	ga_s2am_ard_3-2-1_50JKR_2019-03-11_final.stac-item
2019-03-18 11:55:46	ga_s2am_ard_3-2-1_50JNN_2019-03-18_final.stac-item
2019-05-04 11:46:05	ga_s2am_ard_3-2-1_50JNM_2019-05-04_final.stac-item
2019-05-10 12:05:01	ga_s2am_ard_3-2-1_50JKS_2019-05-10_final.stac-item
2019-05-27 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-05-27_final.stac-item
2019-06-12 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-06-12_final.stac-item
2019-06-19 12:05:01	ga_s2am_ard_3-2-1_50JKS_2019-06-19_final.stac-item
2019-07-03 11:47:19	ga_s2am_ard_3-2-1_50HLH_2019-07-03_final.stac-item
2019-07-16 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2019-07-16_final.stac-item
2019-07-19 12:05:17	ga_s2am_ard_3-2-1_50JKR_2019-07-19_final.stac-item
2019-08-08 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2019-08-08_final.stac-item
2019-09-11 11:45:52	ga_s2am_ard_3-2-1_50JNN_2019-09-11_final.stac-item
2019-09-27 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2019-09-27_final.stac-item
2019-11-03 11:55:01	ga_s2am_ard_3-2-1_50JLS_2019-11-03_final.stac-item
2019-12-16 12:05:06	ga_s2am_ard_3-2-1_50JKR_2019-12-16_final.stac-item
2020-04-24 12:05:13	ga_s2am_ard_3-2-1_50JKR_2020-04-24_final.stac-item
2020-06-03 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-06-03_final.stac-item
2020-06-20 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-06-20_final.stac-item
2020-06-27 11:46:06	ga_s2am_ard_3-2-1_50JNN_2020-06-27_final.stac-item
2020-08-15 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-08-15_final.stac-item
2020-08-22 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-08-22_final.stac-item
2020-10-01 12:04:45	ga_s2am_ard_3-2-1_50JLT_2020-10-01_final.stac-item
2020-10-31 12:04:44	ga_s2am_ard_3-2-1_50JLT_2020-10-31_final.stac-item
2021-01-16 11:55:39	ga_s2am_ard_3-2-1_50JMP_2021-01-16_final.stac-item
2021-02-15 11:55:08	ga_s2am_ard_3-2-1_50JMR_2021-02-15_final.stac-item
2021-03-07 11:55:12	ga_s2am_ard_3-2-1_50JLR_2021-03-07_final.stac-item
2021-05-22 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-05-22_final.stac-item
2021-07-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-11_final.stac-item
2021-08-17 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-08-17_final.stac-item
2021-08-24 11:54:57	ga_s2am_ard_3-2-1_50JMS_2021-08-24_final.stac-item
2021-09-03 11:54:41	ga_s2am_ard_3-2-1_50JMT_2021-09-03_final.stac-item
2021-11-29 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-11-29_final.stac-item
2021-12-29 11:45:55	ga_s2am_ard_3-2-1_50JNN_2021-12-29_final.stac-item
2022-01-21 11:55:49	ga_s2am_ard_3-2-1_50JNN_2022-01-21_final.stac-item
2022-02-23 12:04:59	ga_s2am_ard_3-2-1_49JHM_2022-02-23_final.stac-item
2022-03-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2022-03-05_final.stac-item
2022-05-01 11:55:54	ga_s2am_ard_3-2-1_50JNN_2022-05-01_final.stac-item
2022-06-07 11:47:18	ga_s2am_ard_3-2-1_50HMH_2022-06-07_final.stac-item
2022-06-13 12:05:07	ga_s2am_ard_3-2-1_49JHM_2022-06-13_final.stac-item
2022-07-13 12:04:47	ga_s2am_ard_3-2-1_50JKT_2022-07-13_final.stac-item
2022-07-26 12:14:31	ga_s2am_ard_3-2-1_49KHP_2022-07-26_final.stac-item
2022-08-19 11:55:51	ga_s2am_ard_3-2-1_50JMP_2022-08-19_final.stac-item
2022-08-22 12:04:52	ga_s2am_ard_3-2-1_50JLT_2022-08-22_final.stac-item
2022-09-28 11:55:35	ga_s2am_ard_3-2-1_50JLQ_2022-09-28_final.stac-item
2023-02-12 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-02-12_final
2023-02-15 11:57:20	ga_s2am_ard_3-2-1_50HLG_2023-02-15_final
2023-04-19 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-04-19_final
2023-05-09 12:04:48	ga_s2am_ard_3-2-1_50JMS_2023-05-09_final
2023-06-21 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2023-06-21_final
2023-07-22 11:46:57	ga_s2am_ard_3-2-1_50HQH_2023-07-22_final
2023-08-04 11:54:45	ga_s2am_ard_3-2-1_50JMT_2023-08-04_final
2023-09-23 11:55:51	ga_s2am_ard_3-2-1_50JLP_2023-09-23_final
2023-10-17 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-10-17_final
2023-11-29 11:47:20	ga_s2am_ard_3-2-1_50HLG_2023-11-29_final
2023-12-08 12:14:15	ga_s2am_ard_3-2-1_49KHP_2023-12-08_final
2023-12-15 12:04:53	ga_s2am_ard_3-2-1_50JKS_2023-12-15_final
2024-01-04 12:05:08	ga_s2am_ard_3-2-1_50JKR_2024-01-04_final
2024-01-17 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2024-01-17_final
2024-03-04 12:04:54	ga_s2am_ard_3-2-1_50JLS_2024-03-04_final
2024-04-16 12:13:43	ga_s2am_ard_3-2-1_49KHS_2024-04-16_final
2024-04-23 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2024-04-23_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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