Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNK_2015-11-21_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HPK_2015-11-21_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JHN_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KGQ_2016-01-16_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JLN_2016-02-02_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGM_2016-02-05_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMB_2016-03-03_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHP_2016-03-16_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KNU_2016-04-02_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGK_2016-05-05_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JPS_2016-05-29_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JLR_2016-09-02_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGM_2016-09-05_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JLS_2017-01-20_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JMR_2017-01-20_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HNK_2017-02-16_final
2017-05-23 12:13:46	ga_s2am_ard_3-2-1_50KKA_2017-05-23_final
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_50JKR_2017-07-19_final
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_50HQK_2017-09-18_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_50KKU_2017-09-30_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-10-10_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMH_2017-11-20_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMJ_2018-01-12_final
2018-01-16 11:35:56	ga_s2am_ard_3-2-1_50JQL_2018-01-16_final
2018-01-18 12:13:37	ga_s2am_ard_3-2-1_49KHR_2018-01-18_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-24_final.stac-item
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HLJ_2018-03-03_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMJ_2018-04-12_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JLQ_2018-08-30_final
2018-12-05 11:47:01	ga_s2am_ard_3-2-1_50HMH_2018-12-05_final
2019-04-14 11:46:45	ga_s2am_ard_3-2-1_50HNK_2019-04-14_final
2019-04-30 12:05:50	ga_s2am_ard_3-2-1_50JKP_2019-04-30_final
2019-05-20 12:03:48	ga_s2am_ard_3-2-1_50KKB_2019-05-20_final
2019-05-30 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-05-30_final
2019-07-06 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-07-06_final
2019-09-10 12:13:57	ga_s2am_ard_3-2-1_49KGR_2019-09-10_final
2019-10-24 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-10-24_final
2019-11-06 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-11-06_final
2019-12-03 11:57:08	ga_s2am_ard_3-2-1_50HLH_2019-12-03_final
2020-01-12 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-01-12_final
2020-01-19 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2020-01-19_final
2020-03-12 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-03-12_final
2020-03-15 12:05:34	ga_s2am_ard_3-2-1_50JLP_2020-03-15_final
2020-04-08 11:46:13	ga_s2am_ard_3-2-1_50JQL_2020-04-08_final
2020-04-08 11:46:35	ga_s2am_ard_3-2-1_50HNK_2020-04-08_final
2020-05-01 11:56:02	ga_s2am_ard_3-2-1_50JKN_2020-05-01_final
2020-06-06 12:14:14	ga_s2am_ard_3-2-1_50KKV_2020-06-06_final
2020-06-10 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-06-10_final
2020-06-23 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-06-23_final
2020-07-03 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-07-03_final
2020-07-23 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-07-23_final
2020-10-08 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-10-08_final
2020-10-25 11:47:19	ga_s2am_ard_3-2-1_50HLH_2020-10-25_final
2020-10-31 12:05:04	ga_s2am_ard_3-2-1_50JMR_2020-10-31_final
2020-11-24 11:47:16	ga_s2am_ard_3-2-1_50HLH_2020-11-24_final
2021-06-09 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-06-09_final
2021-06-15 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-06-15_final
2021-09-26 12:04:52	ga_s2am_ard_3-2-1_50JMS_2021-09-26_final
2021-09-26 12:05:01	ga_s2am_ard_3-2-1_50JKS_2021-09-26_final
2021-09-26 12:05:15	ga_s2am_ard_3-2-1_50JKR_2021-09-26_final
2021-09-27 11:37:07	ga_s2am_ard_3-2-1_50HQH_2021-09-27_final
2021-09-30 11:46:20	ga_s2am_ard_3-2-1_50JQL_2021-09-30_final
2021-10-26 12:05:46	ga_s2am_ard_3-2-1_50JKP_2021-10-26_final
2021-12-15 12:03:44	ga_s2am_ard_3-2-1_50KKB_2021-12-15_final
2022-01-14 12:03:45	ga_s2am_ard_3-2-1_50KKB_2022-01-14_final
2022-01-21 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-21_final
2022-01-28 11:47:14	ga_s2am_ard_3-2-1_50HLH_2022-01-28_final
2022-02-13 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2022-02-13_final
2022-02-17 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-02-17_final
2022-02-23 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2022-02-23_final
2022-04-04 12:04:23	ga_s2am_ard_3-2-1_50KMU_2022-04-04_final
2022-04-11 11:57:16	ga_s2am_ard_3-2-1_50HMH_2022-04-11_final
2022-06-23 12:03:56	ga_s2am_ard_3-2-1_50KKB_2022-06-23_final
2022-07-27 11:46:58	ga_s2am_ard_3-2-1_50HPJ_2022-07-27_final
2022-08-06 11:46:49	ga_s2am_ard_3-2-1_50HNK_2022-08-06_final
2022-09-01 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-09-01_final.stac-item
2022-09-11 12:05:04	ga_s2am_ard_3-2-1_50JLS_2022-09-11_final.stac-item
2022-09-18 11:56:31	ga_s2am_ard_3-2-1_50JML_2022-09-18_final.stac-item
2022-09-18 11:57:00	ga_s2am_ard_3-2-1_50HMJ_2022-09-18_final.stac-item
2022-09-21 12:04:56	ga_s2am_ard_3-2-1_50JMS_2022-09-21_final.stac-item
2022-09-24 12:14:05	ga_s2am_ard_3-2-1_49KGR_2022-09-24_final.stac-item
2022-09-28 11:56:07	ga_s2am_ard_3-2-1_50JKN_2022-09-28_final.stac-item
2022-10-08 11:56:43	ga_s2am_ard_3-2-1_50HMK_2022-10-08_final.stac-item
2022-10-15 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-10-15_final.stac-item
2022-12-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2022-12-24_final.stac-item
2022-12-31 11:37:02	ga_s2am_ard_3-2-1_50HQH_2022-12-31_final.stac-item
2023-01-16 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-01-16_final.stac-item
2023-02-09 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-02-09_final.stac-item
2023-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2023-02-12_final.stac-item
2023-03-10 12:05:10	ga_s2am_ard_3-2-1_49JGL_2023-03-10_final.stac-item
2023-03-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-03-20_final.stac-item
2023-04-29 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-04-29_final.stac-item
2023-05-02 12:15:11	ga_s2am_ard_3-2-1_49JGL_2023-05-02_final.stac-item
2023-07-25 11:55:54	ga_s2am_ard_3-2-1_50JNN_2023-07-25_final.stac-item
2023-09-03 11:56:31	ga_s2am_ard_3-2-1_50JLL_2023-09-03_final.stac-item
2023-09-29 12:14:58	ga_s2am_ard_3-2-1_49JGM_2023-09-29_final.stac-item
2023-10-10 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-10-10_final.stac-item
2023-10-16 12:05:50	ga_s2am_ard_3-2-1_50JLN_2023-10-16_final.stac-item
2023-12-19 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-12-19_final.stac-item
2024-02-20 11:57:04	ga_s2am_ard_3-2-1_50HMH_2024-02-20_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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