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
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JKR_2016-01-26_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGM_2016-03-09_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLH_2016-03-20_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JHM_2016-10-22_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPJ_2016-11-12_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMH_2016-11-15_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HPG_2016-11-15_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGL_2017-07-09_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JLT_2017-08-25_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JHM_2017-09-17_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGM_2017-09-27_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50JLP_2017-09-27_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KHR_2017-10-07_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHR_2017-12-19_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JKT_2018-01-25_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMG_2018-02-08_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-03-06_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JKT_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHR_2018-03-09_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMH_2018-03-20_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMG_2018-05-19_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JLN_2018-06-01_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JLR_2018-06-01_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHQ_2018-06-04_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGL_2018-06-14_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPK_2018-06-15_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JLQ_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JLR_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JLS_2018-06-24_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPH_2018-07-05_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPK_2018-07-05_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-07_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNG_2018-07-08_final.stac-item
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JLT_2018-07-21_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JKN_2018-08-10_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HPG_2018-08-14_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGK_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLR_2018-08-23_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JLL_2018-09-09_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JLM_2018-09-29_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JLS_2018-09-29_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-05_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-10-16_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JLT_2018-10-22_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HQK_2018-10-23_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HMK_2018-10-26_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JLN_2018-10-29_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JLQ_2018-10-29_final
2018-11-15 11:46:35	ga_s2am_ard_3-2-1_50HMK_2018-11-15_final
2018-11-18 11:57:03	ga_s2am_ard_3-2-1_50HLH_2018-11-18_final
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final
2018-12-21 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-21_final
2018-12-21 12:05:00	ga_s2am_ard_3-2-1_50JLR_2018-12-21_final
2018-12-21 12:05:18	ga_s2am_ard_3-2-1_50JKQ_2018-12-21_final
2018-12-24 12:14:48	ga_s2am_ard_3-2-1_49JGM_2018-12-24_final
2019-01-04 11:46:32	ga_s2am_ard_3-2-1_50HNK_2019-01-04_final
2019-01-07 11:55:51	ga_s2am_ard_3-2-1_50JLN_2019-01-07_final
2019-03-28 11:57:09	ga_s2am_ard_3-2-1_50HLH_2019-03-28_final
2019-05-04 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2019-05-04_final
2019-05-23 12:14:34	ga_s2am_ard_3-2-1_49JHN_2019-05-23_final
2019-06-26 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-06-26_final
2019-08-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-08-08_final.stac-item
2019-08-28 12:03:46	ga_s2am_ard_3-2-1_49KHS_2019-08-28_final.stac-item
2019-09-04 11:55:56	ga_s2am_ard_3-2-1_50JLN_2019-09-04_final
2019-09-17 12:05:55	ga_s2am_ard_3-2-1_50JKN_2019-09-17_final
2019-12-10 11:47:11	ga_s2am_ard_3-2-1_50HLH_2019-12-10_final
2020-01-05 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-01-05_final.stac-item
2020-04-01 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-04-01_final
2020-06-03 12:05:44	ga_s2am_ard_3-2-1_50JLP_2020-06-03_final
2020-06-23 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-06-23_final
2020-07-07 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-07-07_final
2020-12-07 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-07_final
2020-12-20 12:05:28	ga_s2am_ard_3-2-1_49JGK_2020-12-20_final
2020-12-24 11:47:09	ga_s2am_ard_3-2-1_50HMH_2020-12-24_final
2020-12-30 12:05:55	ga_s2am_ard_3-2-1_50JKN_2020-12-30_final
2021-01-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-01-06_final
2021-01-13 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-01-13_final
2021-02-08 12:06:03	ga_s2am_ard_3-2-1_50JLM_2021-02-08_final
2021-03-10 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-03-10_final
2021-04-13 11:46:24	ga_s2am_ard_3-2-1_50HQK_2021-04-13_final
2021-05-09 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-05-09_final
2021-05-09 12:05:54	ga_s2am_ard_3-2-1_50JKN_2021-05-09_final
2021-06-15 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-06-15_final
2021-06-18 12:05:07	ga_s2am_ard_3-2-1_50JLR_2021-06-18_final
2021-06-25 11:57:22	ga_s2am_ard_3-2-1_50HMG_2021-06-25_final.stac-item
2021-07-02 11:47:19	ga_s2am_ard_3-2-1_50HPG_2021-07-02_final.stac-item
2021-07-08 12:05:40	ga_s2am_ard_3-2-1_50JLP_2021-07-08_final
2021-07-11 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-07-11_final
2021-07-11 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-07-11_final
2021-08-17 12:04:45	ga_s2am_ard_3-2-1_50JKT_2021-08-17_final
2021-08-17 12:05:09	ga_s2am_ard_3-2-1_50JLR_2021-08-17_final
2021-10-16 12:03:50	ga_s2am_ard_3-2-1_49KHS_2021-10-16_final.stac-item
2022-03-15 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-15_final
2022-03-28 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-03-28_final
2022-08-03 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-08-03_final
2022-10-01 12:03:52	ga_s2am_ard_3-2-1_49KHS_2022-10-01_final.stac-item
2023-08-27 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-08-27_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