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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HPK_2016-01-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HQJ_2016-03-07_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMK_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HQJ_2016-05-29_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-07-07_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KHS_2016-08-03_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMH_2016-11-05_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2016-12-05_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMH_2016-12-25_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HMJ_2017-02-16_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMK_2017-05-27_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGL_2017-06-09_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HLG_2017-06-13_final.stac-item
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JHN_2017-07-12_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JHM_2017-08-28_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_50JKS_2017-08-28_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KGP_2017-10-07_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLH_2017-12-03_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HLH_2018-02-01_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HLJ_2018-02-01_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLJ_2018-02-11_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HQG_2018-02-15_final.stac-item
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMJ_2018-02-18_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HPG_2018-02-18_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-03-09_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNG_2018-03-30_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLJ_2018-04-02_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-04-25_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-04-25_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPK_2018-04-26_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNG_2018-04-29_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLN_2018-05-22_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JHN_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JLP_2018-06-24_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLQ_2018-07-11_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HNJ_2018-07-18_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HMG_2018-07-31_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2018-08-23_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JLN_2018-08-30_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-09-06_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMG_2018-09-19_final.stac-item
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JKP_2018-09-29_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGN_2018-10-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-10-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JLR_2018-10-12_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMH_2018-10-16_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-10-16_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLJ_2018-10-29_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JKP_2018-10-29_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JLP_2018-10-29_final
2018-11-08 11:57:05	ga_s2am_ard_3-2-1_50HLH_2018-11-08_final
2018-11-15 11:47:01	ga_s2am_ard_3-2-1_50HNH_2018-11-15_final
2018-12-21 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2018-12-21_final
2018-12-21 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-21_final
2018-12-21 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-21_final
2019-01-01 11:37:20	ga_s2am_ard_3-2-1_50HNG_2019-01-01_final.stac-item
2019-01-07 11:55:51	ga_s2am_ard_3-2-1_50JLN_2019-01-07_final
2019-02-13 11:47:12	ga_s2am_ard_3-2-1_50HLH_2019-02-13_final
2019-02-16 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-02-16_final
2019-04-04 11:47:28	ga_s2am_ard_3-2-1_50HLG_2019-04-04_final.stac-item
2019-06-10 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-06-10_final
2019-07-12 12:13:45	ga_s2am_ard_3-2-1_49KHS_2019-07-12_final.stac-item
2019-10-11 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-10-11_final
2019-10-24 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-10-24_final
2019-11-20 11:47:11	ga_s2am_ard_3-2-1_50HMH_2019-11-20_final
2020-02-08 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2020-02-08_final
2020-03-09 11:47:13	ga_s2am_ard_3-2-1_50HPG_2020-03-09_final.stac-item
2020-09-01 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-09-01_final
2020-10-25 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-10-25_final
2020-10-25 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-10-25_final
2020-11-14 11:47:28	ga_s2am_ard_3-2-1_50HMG_2020-11-14_final.stac-item
2021-01-13 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-13_final
2021-03-17 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-03-17_final
2021-03-30 12:03:42	ga_s2am_ard_3-2-1_49KHS_2021-03-30_final.stac-item
2021-03-30 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-03-30_final
2021-04-09 12:05:51	ga_s2am_ard_3-2-1_50JKN_2021-04-09_final
2021-04-29 12:04:54	ga_s2am_ard_3-2-1_50JKS_2021-04-29_final
2021-05-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-29_final
2021-06-02 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-06-02_final.stac-item
2021-06-15 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2021-06-15_final
2021-06-18 12:05:07	ga_s2am_ard_3-2-1_50JLR_2021-06-18_final
2021-07-08 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-07-08_final
2021-07-11 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-11_final
2021-08-08 11:37:29	ga_s2am_ard_3-2-1_50HNG_2021-08-08_final.stac-item
2021-08-11 11:47:29	ga_s2am_ard_3-2-1_50HLG_2021-08-11_final.stac-item
2021-08-17 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-08-17_final
2021-08-17 12:04:59	ga_s2am_ard_3-2-1_49JHM_2021-08-17_final
2021-08-17 12:05:18	ga_s2am_ard_3-2-1_50JKR_2021-08-17_final
2021-08-27 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-08-27_final
2021-09-26 12:05:55	ga_s2am_ard_3-2-1_50JLN_2021-09-26_final
2022-03-12 11:57:28	ga_s2am_ard_3-2-1_50HLG_2022-03-12_final.stac-item
2022-03-28 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-03-28_final
2022-10-08 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2022-10-08_final.stac-item
2023-03-27 11:56:28	ga_s2am_ard_3-2-1_50HNK_2023-03-27_final.stac-item
2023-07-28 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-07-28_final.stac-item
2023-08-17 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-08-17_final.stac-item
2023-08-27 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-08-27_final.stac-item
2023-10-13 11:56:28	ga_s2am_ard_3-2-1_50HNK_2023-10-13_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