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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KGR_2015-10-21_final.stac-item
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHR_2015-10-21_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JLP_2016-01-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLP_2016-03-03_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JHM_2016-05-15_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKP_2016-09-12_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JLP_2016-11-21_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50JML_2016-12-25_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HQJ_2017-01-24_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JLP_2017-03-31_final.stac-item
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HMK_2017-05-24_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGL_2017-06-09_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JLN_2017-06-19_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_50HPK_2017-06-20_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLJ_2017-09-14_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JLR_2017-10-17_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49KHS_2017-11-06_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JLP_2018-01-12_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HMJ_2018-02-01_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JKP_2018-02-11_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HQK_2018-03-17_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JML_2018-03-23_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JML_2018-04-12_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLQ_2018-05-02_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KGR_2018-05-18_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JLP_2018-06-14_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JLP_2018-08-13_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HLG_2018-08-27_final.stac-item
2018-11-15 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2018-11-15_final
2018-11-15 11:47:15	ga_s2am_ard_3-2-1_50HNG_2018-11-15_final.stac-item
2018-12-24 12:14:34	ga_s2am_ard_3-2-1_49JGN_2018-12-24_final
2019-01-17 11:55:38	ga_s2am_ard_3-2-1_50JLP_2019-01-17_final
2019-01-30 12:04:36	ga_s2am_ard_3-2-1_50JLT_2019-01-30_final
2019-02-19 12:04:24	ga_s2am_ard_3-2-1_49KHP_2019-02-19_final
2019-03-11 12:04:41	ga_s2am_ard_3-2-1_49JGN_2019-03-11_final
2019-04-07 11:56:23	ga_s2am_ard_3-2-1_50JML_2019-04-07_final
2019-04-20 12:05:40	ga_s2am_ard_3-2-1_50JLP_2019-04-20_final
2019-08-15 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2019-08-15_final
2019-08-28 12:05:42	ga_s2am_ard_3-2-1_50JKP_2019-08-28_final
2019-10-04 11:55:15	ga_s2am_ard_3-2-1_50JLR_2019-10-04_final
2019-10-20 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-10-20_final
2019-12-03 11:55:40	ga_s2am_ard_3-2-1_50JLP_2019-12-03_final
2019-12-10 11:47:03	ga_s2am_ard_3-2-1_50HNH_2019-12-10_final
2020-03-05 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-05_final
2020-05-14 12:05:42	ga_s2am_ard_3-2-1_50JLP_2020-05-14_final
2020-05-21 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-05-21_final
2020-07-30 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-07-30_final
2020-08-02 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-08-02_final
2020-08-25 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-25_final
2020-09-08 11:55:17	ga_s2am_ard_3-2-1_50JLR_2020-09-08_final
2020-10-25 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-10-25_final
2020-12-24 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2020-12-24_final
2021-01-06 11:56:26	ga_s2am_ard_3-2-1_50JLL_2021-01-06_final
2021-02-28 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-02-28_final
2021-03-07 11:55:42	ga_s2am_ard_3-2-1_50JLP_2021-03-07_final
2021-03-20 12:05:34	ga_s2am_ard_3-2-1_50JLP_2021-03-20_final
2021-04-06 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2021-04-06_final
2021-07-09 11:37:24	ga_s2am_ard_3-2-1_50HPG_2021-07-09_final.stac-item
2021-09-30 11:47:28	ga_s2am_ard_3-2-1_50HMG_2021-09-30_final.stac-item
2021-10-13 11:56:27	ga_s2am_ard_3-2-1_50JML_2021-10-13_final
2021-10-23 11:56:13	ga_s2am_ard_3-2-1_50JMM_2021-10-23_final
2021-11-05 12:05:41	ga_s2am_ard_3-2-1_50JLP_2021-11-05_final
2021-11-12 11:56:27	ga_s2am_ard_3-2-1_50JLL_2021-11-12_final
2021-12-18 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-12-18_final
2022-01-11 11:55:43	ga_s2am_ard_3-2-1_50JLP_2022-01-11_final
2022-01-28 11:46:30	ga_s2am_ard_3-2-1_50HQK_2022-01-28_final
2022-04-04 12:03:46	ga_s2am_ard_3-2-1_49KHS_2022-04-04_final.stac-item
2022-04-18 11:46:16	ga_s2am_ard_3-2-1_50JMM_2022-04-18_final
2022-04-24 12:05:42	ga_s2am_ard_3-2-1_50JLP_2022-04-24_final
2022-05-01 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2022-05-01_final
2022-06-03 12:05:05	ga_s2am_ard_3-2-1_50JKS_2022-06-03_final
2022-07-03 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-07-03_final.stac-item
2022-10-14 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-10-14_final.stac-item
2022-10-18 11:57:12	ga_s2am_ard_3-2-1_50HLH_2022-10-18_final.stac-item
2022-10-28 11:56:25	ga_s2am_ard_3-2-1_50JML_2022-10-28_final.stac-item
2022-11-14 11:46:43	ga_s2am_ard_3-2-1_50HMK_2022-11-14_final.stac-item
2022-12-07 11:55:42	ga_s2am_ard_3-2-1_50JLP_2022-12-07_final.stac-item
2022-12-20 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2022-12-20_final.stac-item
2023-01-10 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-01-10_final.stac-item
2023-01-13 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-01-13_final.stac-item
2023-02-15 11:55:39	ga_s2am_ard_3-2-1_50JLP_2023-02-15_final.stac-item
2023-03-07 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-03-07_final.stac-item
2023-03-11 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2023-03-11_final.stac-item
2023-04-09 12:04:57	ga_s2am_ard_3-2-1_49JHM_2023-04-09_final.stac-item
2023-05-16 11:54:45	ga_s2am_ard_3-2-1_50JLT_2023-05-16_final.stac-item
2023-05-20 11:36:36	ga_s2am_ard_3-2-1_50HQK_2023-05-20_final.stac-item
2023-06-08 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-06-08_final.stac-item
2023-07-28 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2023-07-28_final.stac-item
2023-08-17 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2023-08-17_final.stac-item
2023-09-06 12:05:17	ga_s2am_ard_3-2-1_50JKR_2023-09-06_final.stac-item
2023-09-16 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-09-16_final.stac-item
2023-09-26 12:04:48	ga_s2am_ard_3-2-1_49JGN_2023-09-26_final.stac-item
2023-10-13 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2023-10-13_final.stac-item
2023-10-26 12:04:39	ga_s2am_ard_3-2-1_50JLT_2023-10-26_final.stac-item
2023-11-02 11:56:24	ga_s2am_ard_3-2-1_50JLL_2023-11-02_final.stac-item
2023-12-05 12:04:21	ga_s2am_ard_3-2-1_49KHP_2023-12-05_final.stac-item
2023-12-12 11:57:15	ga_s2am_ard_3-2-1_50HMG_2023-12-12_final.stac-item
2024-01-18 11:47:12	ga_s2am_ard_3-2-1_50HNG_2024-01-18_final.stac-item
2024-02-27 11:47:09	ga_s2am_ard_3-2-1_50HMH_2024-02-27_final.stac-item
2024-04-17 11:47:09	ga_s2am_ard_3-2-1_50HNH_2024-04-17_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

All years