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
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHQ_2015-12-27_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLH_2016-03-20_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHS_2016-08-23_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HPG_2016-09-26_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKS_2016-10-22_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HQG_2016-10-23_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMJ_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_49JGM_2017-07-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKT_2017-07-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JLT_2017-07-09_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JHN_2017-07-12_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_50JKS_2017-09-17_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JMR_2017-10-07_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JLT_2018-01-12_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HLG_2018-01-19_final.stac-item
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
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JKT_2018-03-06_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JKP_2018-03-23_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMH_2018-03-30_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNK_2018-03-30_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMG_2018-04-02_final.stac-item
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_50JMS_2018-05-22_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLS_2018-05-25_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNG_2018-05-29_final.stac-item
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JLP_2018-06-11_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNG_2018-06-18_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HPK_2018-06-18_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JMT_2018-06-21_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGK_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKQ_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKS_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKT_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JLR_2018-06-24_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-07-04_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLN_2018-07-11_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HPG_2018-07-15_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-07-17_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-24_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JLP_2018-07-24_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-08-06_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JLQ_2018-08-20_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JMT_2018-08-20_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGL_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHP_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLP_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLR_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLS_2018-08-23_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JLQ_2018-08-30_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JMT_2018-09-29_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLH_2018-10-09_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMG_2018-10-09_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JLS_2018-10-09_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JMR_2018-10-09_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-15_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLQ_2018-10-19_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-10-22_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JML_2018-10-26_final
2018-11-25 11:47:09	ga_s2am_ard_3-2-1_50HPG_2018-11-25_final.stac-item
2018-11-28 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-11-28_final
2018-11-28 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-11-28_final
2018-12-21 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-21_final
2018-12-21 12:04:49	ga_s2am_ard_3-2-1_50JKS_2018-12-21_final
2018-12-21 12:05:00	ga_s2am_ard_3-2-1_50JLR_2018-12-21_final
2018-12-25 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2018-12-25_final
2018-12-31 12:05:34	ga_s2am_ard_3-2-1_50JKP_2018-12-31_final
2019-01-03 12:14:36	ga_s2am_ard_3-2-1_49JGN_2019-01-03_final
2019-01-04 11:46:32	ga_s2am_ard_3-2-1_50HNK_2019-01-04_final
2019-01-07 11:55:19	ga_s2am_ard_3-2-1_50JMQ_2019-01-07_final
2019-05-23 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-23_final
2019-07-13 11:47:33	ga_s2am_ard_3-2-1_50HMG_2019-07-13_final.stac-item
2020-01-06 11:37:15	ga_s2am_ard_3-2-1_50HPG_2020-01-06_final.stac-item
2020-03-28 12:15:06	ga_s2am_ard_3-2-1_49JGL_2020-03-28_final
2021-03-10 12:04:39	ga_s2am_ard_3-2-1_50JLT_2021-03-10_final
2021-03-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-03-20_final.stac-item
2021-04-29 12:05:49	ga_s2am_ard_3-2-1_50JLN_2021-04-29_final
2021-05-26 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-05-26_final.stac-item
2021-06-15 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-06-15_final
2021-06-15 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-06-15_final
2021-06-18 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-06-18_final
2021-06-21 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-21_final
2021-07-05 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2021-07-05_final
2021-07-05 11:55:41	ga_s2am_ard_3-2-1_50JMP_2021-07-05_final
2021-07-05 11:55:59	ga_s2am_ard_3-2-1_50JLN_2021-07-05_final
2021-07-05 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-07-05_final
2021-07-08 12:05:40	ga_s2am_ard_3-2-1_50JLP_2021-07-08_final
2021-07-28 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-07-28_final
2021-07-28 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-07-28_final
2021-08-01 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-08-01_final.stac-item
2021-08-17 12:04:56	ga_s2am_ard_3-2-1_50JLS_2021-08-17_final
2021-08-17 12:05:09	ga_s2am_ard_3-2-1_50JLR_2021-08-17_final
2021-08-17 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-08-17_final
2021-10-07 11:37:26	ga_s2am_ard_3-2-1_50HPG_2021-10-07_final.stac-item
2021-10-23 11:57:28	ga_s2am_ard_3-2-1_50HLG_2021-10-23_final.stac-item
2022-03-28 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-03-28_final
2023-06-18 12:05:42	ga_s2am_ard_3-2-1_50JLP_2023-06-18_final.stac-item
2023-07-08 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-07-08_final.stac-item
2023-09-06 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-09-06_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