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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JKR_2015-10-08_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50JMM_2015-10-22_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HMH_2016-01-03_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHP_2016-06-07_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGQ_2016-11-04_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGR_2016-11-04_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHQ_2016-11-14_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JLM_2016-11-18_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHP_2016-12-01_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JMM_2016-12-15_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JLP_2017-01-07_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JML_2017-01-07_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HMH_2017-03-05_final.stac-item
2017-03-28 11:56:02	ga_s2am_ard_3-2-1_50HNK_2017-03-28_final.stac-item
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_50HPK_2017-04-01_final.stac-item
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JLP_2017-10-24_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMJ_2017-11-20_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMK_2017-11-20_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50JNL_2017-11-20_final.stac-item
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JLR_2017-11-26_final.stac-item
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HPK_2018-01-26_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JMS_2018-05-02_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HNH_2018-05-19_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50HMJ_2018-07-01_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JMN_2018-08-10_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGK_2018-08-23_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMH_2018-10-09_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLQ_2018-10-19_final.stac-item
2018-11-24 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2018-11-24_final.stac-item
2018-12-01 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-01_final.stac-item
2019-01-27 11:56:11	ga_s2am_ard_3-2-1_50JKM_2019-01-27_final.stac-item
2019-01-31 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2019-01-31_final.stac-item
2019-02-03 11:46:27	ga_s2am_ard_3-2-1_50HQK_2019-02-03_final.stac-item
2019-04-30 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-04-30_final.stac-item
2019-05-10 12:05:16	ga_s2am_ard_3-2-1_50JKR_2019-05-10_final.stac-item
2019-08-15 11:55:49	ga_s2am_ard_3-2-1_50JKP_2019-08-15_final.stac-item
2019-09-04 11:57:06	ga_s2am_ard_3-2-1_50HMH_2019-09-04_final.stac-item
2019-10-10 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-10-10_final.stac-item
2019-10-11 11:46:15	ga_s2am_ard_3-2-1_50JMM_2019-10-11_final.stac-item
2019-10-21 11:46:27	ga_s2am_ard_3-2-1_50JNL_2019-10-21_final.stac-item
2019-10-21 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-10-21_final.stac-item
2019-11-03 11:55:45	ga_s2am_ard_3-2-1_50JLP_2019-11-03_final.stac-item
2020-01-09 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2020-01-09_final.stac-item
2020-01-15 12:04:51	ga_s2am_ard_3-2-1_50JKS_2020-01-15_final.stac-item
2020-01-15 12:05:06	ga_s2am_ard_3-2-1_50JKR_2020-01-15_final.stac-item
2020-01-19 11:46:45	ga_s2am_ard_3-2-1_50HNJ_2020-01-19_final.stac-item
2020-01-29 11:46:23	ga_s2am_ard_3-2-1_50HQK_2020-01-29_final.stac-item
2020-01-29 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2020-01-29_final.stac-item
2020-02-01 11:54:37	ga_s2am_ard_3-2-1_50JLT_2020-02-01_final.stac-item
2020-05-01 11:55:45	ga_s2am_ard_3-2-1_50JLP_2020-05-01_final.stac-item
2020-05-01 11:56:33	ga_s2am_ard_3-2-1_50HNK_2020-05-01_final.stac-item
2020-06-17 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-06-17_final.stac-item
2020-07-10 11:57:13	ga_s2am_ard_3-2-1_50HLH_2020-07-10_final.stac-item
2020-07-20 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2020-07-20_final.stac-item
2020-07-27 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-07-27_final.stac-item
2020-08-12 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-08-12_final.stac-item
2020-09-18 11:55:46	ga_s2am_ard_3-2-1_50JLP_2020-09-18_final.stac-item
2020-10-15 11:46:18	ga_s2am_ard_3-2-1_50JMM_2020-10-15_final.stac-item
2020-11-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2020-11-30_final.stac-item
2020-12-07 11:56:02	ga_s2am_ard_3-2-1_50JNM_2020-12-07_final.stac-item
2021-01-26 11:56:05	ga_s2am_ard_3-2-1_50JNM_2021-01-26_final.stac-item
2021-02-18 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-02-18_final.stac-item
2021-03-14 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2021-03-14_final.stac-item
2021-04-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2021-04-19_final.stac-item
2021-04-26 11:55:38	ga_s2am_ard_3-2-1_50JLP_2021-04-26_final.stac-item
2021-05-16 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-05-16_final.stac-item
2021-05-19 12:04:39	ga_s2am_ard_3-2-1_50JLT_2021-05-19_final.stac-item
2021-07-28 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2021-07-28_final.stac-item
2021-08-07 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-08-07_final.stac-item
2021-08-24 11:55:41	ga_s2am_ard_3-2-1_50JMP_2021-08-24_final.stac-item
2021-09-23 11:55:01	ga_s2am_ard_3-2-1_50JLS_2021-09-23_final.stac-item
2021-10-06 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2021-10-06_final.stac-item
2021-10-13 11:55:58	ga_s2am_ard_3-2-1_50JMN_2021-10-13_final.stac-item
2021-10-16 12:05:02	ga_s2am_ard_3-2-1_49JHM_2021-10-16_final.stac-item
2021-10-23 11:56:42	ga_s2am_ard_3-2-1_50HMK_2021-10-23_final.stac-item
2021-10-30 11:46:13	ga_s2am_ard_3-2-1_50JNM_2021-10-30_final.stac-item
2021-12-12 11:55:41	ga_s2am_ard_3-2-1_50JLP_2021-12-12_final.stac-item
2022-01-28 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2022-01-28_final.stac-item
2022-04-11 11:57:16	ga_s2am_ard_3-2-1_50HMH_2022-04-11_final.stac-item
2022-04-25 11:36:35	ga_s2am_ard_3-2-1_50HQK_2022-04-25_final.stac-item
2022-06-13 12:04:50	ga_s2am_ard_3-2-1_50JLT_2022-06-13_final.stac-item
2022-09-28 11:56:33	ga_s2am_ard_3-2-1_50JLL_2022-09-28_final.stac-item
2022-10-08 11:55:59	ga_s2am_ard_3-2-1_50JMN_2022-10-08_final.stac-item
2022-11-04 11:46:17	ga_s2am_ard_3-2-1_50JMM_2022-11-04_final.stac-item
2023-05-03 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-05-03_final
2023-05-26 11:56:40	ga_s2am_ard_3-2-1_50HMK_2023-05-26_final
2023-07-05 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-07-05_final
2023-07-18 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2023-07-18_final
2023-08-14 11:55:47	ga_s2am_ard_3-2-1_50JLP_2023-08-14_final
2023-08-17 12:04:34	ga_s2am_ard_3-2-1_49KHP_2023-08-17_final
2023-08-28 11:36:43	ga_s2am_ard_3-2-1_50HPK_2023-08-28_final
2023-08-31 11:47:26	ga_s2am_ard_3-2-1_50HNG_2023-08-31_final
2023-10-20 11:46:30	ga_s2am_ard_3-2-1_50HQK_2023-10-20_final
2023-12-15 12:04:49	ga_s2am_ard_3-2-1_50JLS_2023-12-15_final
2023-12-19 11:46:37	ga_s2am_ard_3-2-1_50HMK_2023-12-19_final
2024-01-04 12:03:41	ga_s2am_ard_3-2-1_49KHS_2024-01-04_final
2024-01-08 11:46:26	ga_s2am_ard_3-2-1_50HQK_2024-01-08_final
2024-01-14 12:04:51	ga_s2am_ard_3-2-1_50JKS_2024-01-14_final
2024-03-11 11:57:06	ga_s2am_ard_3-2-1_50HMH_2024-03-11_final
2024-03-24 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2024-03-24_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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