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_50HPG_2016-01-07_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKQ_2016-05-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLN_2016-05-22_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLG_2016-07-01_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMK_2017-05-27_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_50JKS_2017-08-28_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGL_2017-09-17_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JLQ_2017-10-17_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HLH_2017-10-31_final
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50HMJ_2018-01-02_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMJ_2018-02-08_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGR_2018-03-09_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HMJ_2018-03-23_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNH_2018-04-29_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLM_2018-05-02_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HPG_2018-05-19_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JLQ_2018-06-01_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHR_2018-06-04_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKS_2018-06-24_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-07-04_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JLP_2018-07-04_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HQK_2018-07-05_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGN_2018-07-14_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JLP_2018-07-14_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-17_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMG_2018-07-18_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGN_2018-07-24_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-08-06_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHS_2018-08-16_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLJ_2018-08-20_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKR_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLQ_2018-08-23_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNG_2018-08-27_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLJ_2018-10-09_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMJ_2018-10-09_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMK_2018-10-16_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-10-22_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-10-22_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JLP_2018-10-22_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HPJ_2018-10-26_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-11-01_final.stac-item
2018-11-15 11:46:32	ga_s2am_ard_3-2-1_50HNK_2018-11-15_final
2018-12-21 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-12-21_final
2018-12-21 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-21_final
2018-12-21 12:05:03	ga_s2am_ard_3-2-1_50JKR_2018-12-21_final
2018-12-21 12:05:14	ga_s2am_ard_3-2-1_50JLQ_2018-12-21_final
2018-12-28 11:55:35	ga_s2am_ard_3-2-1_50JLP_2018-12-28_final
2018-12-31 12:03:38	ga_s2am_ard_3-2-1_49KHS_2018-12-31_final.stac-item
2019-01-04 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2019-01-04_final
2019-02-10 11:37:14	ga_s2am_ard_3-2-1_50HQG_2019-02-10_final.stac-item
2019-04-01 11:37:27	ga_s2am_ard_3-2-1_50HNG_2019-04-01_final.stac-item
2019-04-27 11:57:24	ga_s2am_ard_3-2-1_50HMG_2019-04-27_final.stac-item
2019-07-12 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-12_final
2019-07-22 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-22_final
2019-08-25 11:57:25	ga_s2am_ard_3-2-1_50HLG_2019-08-25_final.stac-item
2019-09-11 11:46:39	ga_s2am_ard_3-2-1_50HMK_2019-09-11_final
2019-09-27 12:03:45	ga_s2am_ard_3-2-1_49KHS_2019-09-27_final.stac-item
2019-11-20 11:46:35	ga_s2am_ard_3-2-1_50HPK_2019-11-20_final
2019-11-20 11:47:29	ga_s2am_ard_3-2-1_50HLG_2019-11-20_final.stac-item
2020-03-28 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-28_final
2020-05-28 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-05-28_final.stac-item
2020-07-13 12:06:00	ga_s2am_ard_3-2-1_50JKN_2020-07-13_final
2020-08-29 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-08-29_final.stac-item
2020-09-28 11:57:29	ga_s2am_ard_3-2-1_50HLG_2020-09-28_final.stac-item
2020-11-21 11:37:19	ga_s2am_ard_3-2-1_50HQG_2020-11-21_final.stac-item
2020-12-07 11:57:07	ga_s2am_ard_3-2-1_50HLH_2020-12-07_final
2021-01-12 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-12_final
2021-03-10 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-03-10_final
2021-03-30 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2021-03-30_final
2021-04-16 11:57:00	ga_s2am_ard_3-2-1_50HMH_2021-04-16_final
2021-04-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2021-04-19_final.stac-item
2021-04-29 12:04:40	ga_s2am_ard_3-2-1_50JKT_2021-04-29_final
2021-04-29 12:05:49	ga_s2am_ard_3-2-1_50JLN_2021-04-29_final
2021-05-02 12:14:54	ga_s2am_ard_3-2-1_49JGM_2021-05-02_final
2021-05-19 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-05-19_final
2021-05-26 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-05-26_final
2021-06-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final
2021-06-11 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-06-11_final
2021-06-15 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-06-15_final
2021-06-18 12:05:10	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final
2021-07-08 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2021-07-08_final
2021-07-11 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-11_final
2021-07-28 12:05:44	ga_s2am_ard_3-2-1_50JKP_2021-07-28_final
2021-08-11 11:47:29	ga_s2am_ard_3-2-1_50HLG_2021-08-11_final.stac-item
2021-08-17 12:05:43	ga_s2am_ard_3-2-1_50JKP_2021-08-17_final
2021-08-27 12:04:48	ga_s2am_ard_3-2-1_49JGN_2021-08-27_final
2021-08-30 12:13:41	ga_s2am_ard_3-2-1_49KHS_2021-08-30_final.stac-item
2022-02-10 11:57:22	ga_s2am_ard_3-2-1_50HLG_2022-02-10_final.stac-item
2022-02-14 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-02-14_final
2022-03-28 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-03-28_final
2022-04-07 12:13:41	ga_s2am_ard_3-2-1_49KHS_2022-04-07_final.stac-item
2022-04-11 11:57:25	ga_s2am_ard_3-2-1_50HLG_2022-04-11_final.stac-item
2022-05-14 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-05-14_final.stac-item
2022-06-23 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-06-23_final.stac-item
2022-07-23 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-07-23_final.stac-item
2022-09-22 11:37:33	ga_s2am_ard_3-2-1_50HNG_2022-09-22_final.stac-item
2022-10-04 12:14:48	ga_s2am_ard_3-2-1_49JGN_2022-10-04_final.stac-item
2023-03-31 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-03-31_final.stac-item
2023-06-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-06-08_final.stac-item
2024-01-01 11:57:06	ga_s2am_ard_3-2-1_50HLH_2024-01-01_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