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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JKQ_2015-12-17_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHP_2016-08-23_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHN_2016-09-12_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HNG_2016-10-03_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHS_2016-11-11_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2016-12-31_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHS_2016-12-31_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HMK_2017-01-07_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHS_2017-02-19_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HQH_2017-03-05_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KHP_2017-03-31_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KHS_2017-04-20_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HLG_2017-06-06_final.stac-item
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JLQ_2017-08-05_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2017-08-18_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KGQ_2017-10-07_final
2017-10-27 12:03:47	ga_s2am_ard_3-2-1_49KHQ_2017-10-27_final
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50HLK_2018-01-02_final
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50HMJ_2018-01-02_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMK_2018-01-12_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_49KGQ_2018-01-25_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JLQ_2018-03-03_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JLR_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2018-03-09_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JHM_2018-04-05_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HNG_2018-04-16_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMJ_2018-04-29_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMH_2018-05-22_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMH_2018-06-01_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLQ_2018-06-21_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JLR_2018-07-31_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-09-12_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JLQ_2018-10-02_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JLQ_2018-10-09_final
2018-12-11 12:04:19	ga_s2am_ard_3-2-1_49KHP_2018-12-11_final
2018-12-18 11:57:14	ga_s2am_ard_3-2-1_50HLG_2018-12-18_final.stac-item
2018-12-21 12:06:01	ga_s2am_ard_3-2-1_50JKM_2018-12-21_final
2019-01-07 11:55:08	ga_s2am_ard_3-2-1_50JLR_2019-01-07_final
2019-01-11 11:36:39	ga_s2am_ard_3-2-1_50HPJ_2019-01-11_final
2019-02-13 11:47:23	ga_s2am_ard_3-2-1_50HLG_2019-02-13_final.stac-item
2019-03-01 12:05:18	ga_s2am_ard_3-2-1_50JLQ_2019-03-01_final
2019-05-14 11:46:57	ga_s2am_ard_3-2-1_50HQH_2019-05-14_final
2019-06-19 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-06-19_final
2019-07-19 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2019-07-19_final
2019-09-27 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-09-27_final
2019-10-24 11:55:16	ga_s2am_ard_3-2-1_50JLR_2019-10-24_final
2019-11-03 11:56:08	ga_s2am_ard_3-2-1_50JLN_2019-11-03_final
2019-11-30 11:47:27	ga_s2am_ard_3-2-1_50HLG_2019-11-30_final.stac-item
2019-12-10 11:46:50	ga_s2am_ard_3-2-1_50HQH_2019-12-10_final
2020-01-19 11:46:47	ga_s2am_ard_3-2-1_50HQH_2020-01-19_final
2020-02-24 12:04:51	ga_s2am_ard_3-2-1_49JHM_2020-02-24_final
2020-03-12 11:55:09	ga_s2am_ard_3-2-1_50JLR_2020-03-12_final
2020-03-18 12:14:17	ga_s2am_ard_3-2-1_49KHP_2020-03-18_final
2020-05-14 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-05-14_final.stac-item
2020-06-03 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-06-03_final
2020-07-10 11:55:31	ga_s2am_ard_3-2-1_50JLQ_2020-07-10_final
2020-07-13 12:05:01	ga_s2am_ard_3-2-1_49JHM_2020-07-13_final
2020-07-26 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-07-26_final.stac-item
2020-10-01 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-10-01_final.stac-item
2020-10-11 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-10-11_final
2020-11-20 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2020-11-20_final
2020-12-07 11:55:25	ga_s2am_ard_3-2-1_50JLQ_2020-12-07_final
2020-12-17 11:54:56	ga_s2am_ard_3-2-1_50JLS_2020-12-17_final
2021-01-23 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-01-23_final.stac-item
2021-01-26 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2021-01-26_final
2021-04-22 12:14:17	ga_s2am_ard_3-2-1_49KHP_2021-04-22_final
2021-04-26 11:56:33	ga_s2am_ard_3-2-1_50HMK_2021-04-26_final
2021-04-29 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2021-04-29_final
2021-06-18 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-06-18_final
2021-11-02 11:55:17	ga_s2am_ard_3-2-1_50JLR_2021-11-02_final
2021-11-22 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-11-22_final
2021-12-09 11:47:25	ga_s2am_ard_3-2-1_50HLG_2021-12-09_final.stac-item
2021-12-15 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-12-15_final.stac-item
2022-01-15 11:36:28	ga_s2am_ard_3-2-1_50HQK_2022-01-15_final
2022-01-27 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2022-01-27_final
2022-02-13 12:04:53	ga_s2am_ard_3-2-1_50JLS_2022-02-13_final
2022-02-23 12:05:14	ga_s2am_ard_3-2-1_50JKR_2022-02-23_final
2022-04-07 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2022-04-07_final
2022-05-04 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2022-05-04_final
2022-05-04 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2022-05-04_final
2022-05-31 11:55:06	ga_s2am_ard_3-2-1_50JLS_2022-05-31_final
2022-06-07 11:46:49	ga_s2am_ard_3-2-1_50HMK_2022-06-07_final
2022-06-20 11:55:24	ga_s2am_ard_3-2-1_50JLR_2022-06-20_final
2022-07-06 12:14:22	ga_s2am_ard_3-2-1_49KHQ_2022-07-06_final
2022-09-21 12:04:41	ga_s2am_ard_3-2-1_49KHP_2022-09-21_final.stac-item
2022-10-21 12:03:46	ga_s2am_ard_3-2-1_49KHS_2022-10-21_final.stac-item
2022-12-20 12:05:07	ga_s2am_ard_3-2-1_50JLR_2022-12-20_final.stac-item
2022-12-30 12:03:43	ga_s2am_ard_3-2-1_49KHS_2022-12-30_final.stac-item
2023-01-03 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-01-03_final.stac-item
2023-01-19 12:05:18	ga_s2am_ard_3-2-1_50JLQ_2023-01-19_final.stac-item
2023-03-04 11:46:50	ga_s2am_ard_3-2-1_50HQH_2023-03-04_final.stac-item
2023-04-06 11:55:12	ga_s2am_ard_3-2-1_50JLR_2023-04-06_final.stac-item
2023-04-23 11:46:52	ga_s2am_ard_3-2-1_50HQH_2023-04-23_final.stac-item
2023-05-26 11:55:31	ga_s2am_ard_3-2-1_50JLQ_2023-05-26_final.stac-item
2023-06-28 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-06-28_final.stac-item
2023-12-15 12:04:53	ga_s2am_ard_3-2-1_50JKS_2023-12-15_final.stac-item
2024-01-08 11:47:16	ga_s2am_ard_3-2-1_50HNG_2024-01-08_final.stac-item
2024-01-08 11:47:22	ga_s2am_ard_3-2-1_50HLG_2024-01-08_final.stac-item
2024-01-11 11:55:07	ga_s2am_ard_3-2-1_50JLR_2024-01-11_final.stac-item
2024-03-21 11:56:43	ga_s2am_ard_3-2-1_50HMK_2024-03-21_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