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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JHM_2015-10-28_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_50HQK_2015-12-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HLH_2016-07-08_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JLQ_2016-08-03_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JHM_2016-08-23_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HQG_2016-11-02_final.stac-item
2016-12-02 11:36:01	ga_s2am_ard_3-2-1_50HQK_2016-12-02_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JKS_2016-12-31_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50JLL_2017-01-27_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KHS_2017-02-02_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HMK_2017-03-25_final
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49KGQ_2017-05-10_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2017-10-20_final
2017-11-16 12:03:45	ga_s2am_ard_3-2-1_49KHQ_2017-11-16_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JKR_2017-11-26_final.stac-item
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50HQK_2017-11-27_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JHM_2017-12-16_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHP_2017-12-16_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JLR_2018-01-05_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHS_2018-01-28_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-02-24_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JHM_2018-03-16_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JLR_2018-04-15_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMJ_2018-05-19_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JKS_2018-08-03_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HMJ_2018-08-20_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHM_2018-09-02_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-09-12_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-09-12_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMK_2018-10-09_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-10-12_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKS_2018-10-22_final
2018-11-14 12:14:15	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final
2018-11-18 11:55:21	ga_s2am_ard_3-2-1_50JLQ_2018-11-18_final
2018-11-24 12:14:14	ga_s2am_ard_3-2-1_49KHP_2018-11-24_final
2018-11-25 11:47:13	ga_s2am_ard_3-2-1_50HNG_2018-11-25_final.stac-item
2018-12-01 12:04:48	ga_s2am_ard_3-2-1_50JKS_2018-12-01_final
2018-12-11 12:04:48	ga_s2am_ard_3-2-1_49JHM_2018-12-11_final
2018-12-25 11:46:22	ga_s2am_ard_3-2-1_50HQK_2018-12-25_final
2018-12-31 12:04:51	ga_s2am_ard_3-2-1_50JKS_2018-12-31_final
2019-01-11 11:36:37	ga_s2am_ard_3-2-1_50HQJ_2019-01-11_final
2019-01-23 12:13:36	ga_s2am_ard_3-2-1_49KHS_2019-01-23_final.stac-item
2019-02-19 12:04:39	ga_s2am_ard_3-2-1_50JKT_2019-02-19_final
2019-03-11 12:04:52	ga_s2am_ard_3-2-1_49JHM_2019-03-11_final
2019-03-15 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2019-03-15_final
2019-04-24 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-04-24_final
2019-04-27 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-04-27_final
2019-05-13 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-05-13_final.stac-item
2019-07-03 11:46:46	ga_s2am_ard_3-2-1_50HMK_2019-07-03_final
2019-07-06 11:55:18	ga_s2am_ard_3-2-1_50JLR_2019-07-06_final
2019-07-16 11:56:42	ga_s2am_ard_3-2-1_50HMK_2019-07-16_final
2019-08-18 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-08-18_final
2019-08-31 12:13:40	ga_s2am_ard_3-2-1_49KHS_2019-08-31_final.stac-item
2019-09-07 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2019-09-07_final
2019-09-30 12:14:10	ga_s2am_ard_3-2-1_49KHQ_2019-09-30_final
2019-12-06 12:03:42	ga_s2am_ard_3-2-1_49KHS_2019-12-06_final.stac-item
2020-01-12 11:54:52	ga_s2am_ard_3-2-1_50JLS_2020-01-12_final
2020-02-14 12:04:50	ga_s2am_ard_3-2-1_50JKS_2020-02-14_final
2020-02-18 11:46:37	ga_s2am_ard_3-2-1_50HNJ_2020-02-18_final
2020-03-05 12:04:52	ga_s2am_ard_3-2-1_49JHM_2020-03-05_final
2020-03-22 11:55:09	ga_s2am_ard_3-2-1_50JLR_2020-03-22_final
2020-04-04 12:04:50	ga_s2am_ard_3-2-1_50JLS_2020-04-04_final
2020-08-02 12:05:03	ga_s2am_ard_3-2-1_50JKS_2020-08-02_final
2020-11-13 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-11-13_final
2020-11-17 11:55:16	ga_s2am_ard_3-2-1_50JLR_2020-11-17_final
2020-12-01 11:36:34	ga_s2am_ard_3-2-1_50HQK_2020-12-01_final
2021-01-29 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-01-29_final
2021-02-15 11:57:19	ga_s2am_ard_3-2-1_50HMG_2021-02-15_final.stac-item
2021-03-10 12:04:53	ga_s2am_ard_3-2-1_50JLS_2021-03-10_final
2021-03-23 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-03-23_final
2021-05-09 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-05-09_final
2021-07-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-11_final
2021-10-17 11:36:39	ga_s2am_ard_3-2-1_50HQK_2021-10-17_final
2021-11-05 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-11-05_final.stac-item
2021-12-02 11:56:29	ga_s2am_ard_3-2-1_50HNK_2021-12-02_final
2021-12-05 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-12-05_final
2021-12-15 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-12-15_final.stac-item
2021-12-22 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-12-22_final
2022-02-06 12:14:59	ga_s2am_ard_3-2-1_49JFM_2022-02-06_final
2022-04-07 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2022-04-07_final
2022-04-14 12:05:00	ga_s2am_ard_3-2-1_50JKS_2022-04-14_final
2022-04-14 12:05:07	ga_s2am_ard_3-2-1_50JKS_2022-04-14_final
2022-04-15 11:37:24	ga_s2am_ard_3-2-1_50HPG_2022-04-15_final.stac-item
2022-08-12 12:05:20	ga_s2am_ard_3-2-1_49JFM_2022-08-12_final
2022-11-10 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-11-10_final.stac-item
2022-11-14 11:47:20	ga_s2am_ard_3-2-1_50HPG_2022-11-14_final.stac-item
2023-01-19 12:04:52	ga_s2am_ard_3-2-1_49JHM_2023-01-19_final.stac-item
2023-02-08 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-02-08_final.stac-item
2023-04-19 12:05:11	ga_s2am_ard_3-2-1_50JKR_2023-04-19_final.stac-item
2023-05-20 11:37:19	ga_s2am_ard_3-2-1_50HQG_2023-05-20_final.stac-item
2023-05-26 11:55:16	ga_s2am_ard_3-2-1_50JLR_2023-05-26_final.stac-item
2023-11-18 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2023-11-18_final.stac-item
2023-12-08 12:14:15	ga_s2am_ard_3-2-1_49KHP_2023-12-08_final.stac-item
2023-12-15 12:04:53	ga_s2am_ard_3-2-1_50JKS_2023-12-15_final.stac-item
2023-12-18 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2023-12-18_final.stac-item
2023-12-18 12:14:17	ga_s2am_ard_3-2-1_49KHP_2023-12-18_final.stac-item
2023-12-28 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2023-12-28_final.stac-item
2024-01-07 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2024-01-07_final.stac-item
2024-02-06 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2024-02-06_final.stac-item
2024-03-04 12:04:57	ga_s2am_ard_3-2-1_50JKS_2024-03-04_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