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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMK_2015-12-21_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JHM_2016-02-05_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JMS_2016-05-15_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HMH_2016-06-11_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JKQ_2016-07-24_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNG_2016-07-28_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JLR_2016-08-03_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2016-08-26_final.stac-item
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50JNM_2016-12-18_final
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JNN_2016-12-28_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_50HQK_2017-01-01_final
2017-01-04 11:46:21	ga_s2am_ard_3-2-1_50HMK_2017-01-04_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JKS_2017-01-20_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKS_2017-03-31_final.stac-item
2017-05-07 11:56:10	ga_s2am_ard_3-2-1_50HMK_2017-05-07_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JNN_2017-05-17_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JHM_2017-07-09_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JLR_2017-08-25_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2017-10-17_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JLS_2017-10-17_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2017-12-19_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JLR_2018-01-05_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KHQ_2018-01-08_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JLR_2018-02-01_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HPG_2018-02-18_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JNN_2018-03-30_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JLT_2018-04-05_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPG_2018-04-09_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50JLQ_2018-04-15_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50JNN_2018-05-09_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50JMP_2018-05-12_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JKQ_2018-05-15_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HQH_2018-06-08_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49KGQ_2018-06-14_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JLQ_2018-06-24_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2018-08-13_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JMM_2018-09-26_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JNN_2018-09-26_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLG_2018-10-09_final.stac-item
2018-11-15 11:45:48	ga_s2am_ard_3-2-1_50JNN_2018-11-15_final
2019-01-20 12:04:53	ga_s2am_ard_3-2-1_50JKS_2019-01-20_final
2019-02-16 11:55:46	ga_s2am_ard_3-2-1_50JNN_2019-02-16_final
2019-03-18 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-03-18_final
2019-05-27 11:56:39	ga_s2am_ard_3-2-1_50HMK_2019-05-27_final
2019-06-29 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-06-29_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
2019-07-29 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2019-07-29_final
2019-08-28 12:03:46	ga_s2am_ard_3-2-1_49KHS_2019-08-28_final.stac-item
2019-08-28 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-08-28_final
2019-08-31 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-08-31_final
2019-09-04 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2019-09-04_final
2019-09-07 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2019-09-07_final
2019-10-17 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-10-17_final
2020-01-02 11:55:44	ga_s2am_ard_3-2-1_50JNN_2020-01-02_final
2020-01-28 12:14:02	ga_s2am_ard_3-2-1_49KHQ_2020-01-28_final
2020-02-04 12:05:03	ga_s2am_ard_3-2-1_50JKR_2020-02-04_final
2020-02-21 11:54:49	ga_s2am_ard_3-2-1_50JMS_2020-02-21_final
2020-02-24 12:04:48	ga_s2am_ard_3-2-1_50JLS_2020-02-24_final
2020-03-12 11:54:41	ga_s2am_ard_3-2-1_50JLT_2020-03-12_final
2020-05-18 11:46:06	ga_s2am_ard_3-2-1_50JNM_2020-05-18_final
2020-05-21 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-05-21_final
2020-07-10 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-07-10_final
2020-07-13 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-07-13_final.stac-item
2020-07-23 12:05:13	ga_s2am_ard_3-2-1_50JLR_2020-07-23_final
2020-10-01 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-10-01_final.stac-item
2020-11-17 11:55:16	ga_s2am_ard_3-2-1_50JLR_2020-11-17_final
2021-01-03 11:45:54	ga_s2am_ard_3-2-1_50JNN_2021-01-03_final
2021-01-06 11:54:41	ga_s2am_ard_3-2-1_50JMT_2021-01-06_final
2021-01-16 11:55:50	ga_s2am_ard_3-2-1_50JNN_2021-01-16_final
2021-01-29 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-01-29_final
2021-03-27 11:55:47	ga_s2am_ard_3-2-1_50JNN_2021-03-27_final
2021-05-06 11:54:43	ga_s2am_ard_3-2-1_50JLT_2021-05-06_final
2021-06-15 11:54:45	ga_s2am_ard_3-2-1_50JLT_2021-06-15_final
2021-07-05 11:55:12	ga_s2am_ard_3-2-1_50JMR_2021-07-05_final
2021-08-17 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2021-08-17_final
2021-10-10 11:45:59	ga_s2am_ard_3-2-1_50JNN_2021-10-10_final
2021-11-29 11:45:54	ga_s2am_ard_3-2-1_50JNN_2021-11-29_final
2021-12-15 12:04:57	ga_s2am_ard_3-2-1_50JKS_2021-12-15_final
2022-02-26 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2022-02-26_final
2022-08-19 11:55:40	ga_s2am_ard_3-2-1_50JLQ_2022-08-19_final.stac-item
2022-08-26 11:47:33	ga_s2am_ard_3-2-1_50HNG_2022-08-26_final.stac-item
2022-09-12 11:37:31	ga_s2am_ard_3-2-1_50HPG_2022-09-12_final.stac-item
2023-01-06 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2023-01-06_final.stac-item
2023-01-16 11:55:24	ga_s2am_ard_3-2-1_50JLQ_2023-01-16_final.stac-item
2023-01-19 12:04:52	ga_s2am_ard_3-2-1_50JKS_2023-01-19_final.stac-item
2023-03-07 11:55:45	ga_s2am_ard_3-2-1_50JNN_2023-03-07_final.stac-item
2023-03-10 12:04:52	ga_s2am_ard_3-2-1_50JKS_2023-03-10_final.stac-item
2023-03-20 12:04:31	ga_s2am_ard_3-2-1_49JHN_2023-03-20_final.stac-item
2023-05-13 11:47:20	ga_s2am_ard_3-2-1_50HNG_2023-05-13_final.stac-item
2023-05-29 12:04:43	ga_s2am_ard_3-2-1_50JLT_2023-05-29_final.stac-item
2023-06-01 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2023-06-01_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
2023-09-13 11:55:17	ga_s2am_ard_3-2-1_50JLR_2023-09-13_final.stac-item
2023-09-29 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2023-09-29_final.stac-item
2024-01-05 11:37:17	ga_s2am_ard_3-2-1_50HPG_2024-01-05_final.stac-item
2024-02-13 12:04:54	ga_s2am_ard_3-2-1_49JHM_2024-02-13_final.stac-item
2024-03-01 11:56:42	ga_s2am_ard_3-2-1_50HMK_2024-03-01_final.stac-item
2024-04-06 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2024-04-06_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