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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JMQ_2015-11-14_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JKS_2015-11-27_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMJ_2015-12-21_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLM_2016-02-15_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JMQ_2016-04-02_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGN_2016-06-17_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50HMG_2016-07-21_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JLQ_2016-07-24_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JKR_2016-09-22_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50HNK_2016-10-19_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JLR_2016-10-29_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JKQ_2017-01-20_final
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_50JLR_2017-03-01_final
2017-04-30 12:03:50	ga_s2am_ard_3-2-1_49KHQ_2017-04-30_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HMJ_2017-09-14_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49KHS_2017-10-17_final.stac-item
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_50HQK_2017-10-18_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-02-14_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HMK_2018-02-28_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-04-18_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JNM_2018-05-19_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JLT_2018-06-11_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMK_2018-07-08_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JMR_2018-09-29_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JLS_2018-10-22_final
2018-11-18 11:55:43	ga_s2am_ard_3-2-1_50JNN_2018-11-18_final
2018-12-01 12:04:48	ga_s2am_ard_3-2-1_49JHM_2018-12-01_final
2018-12-01 12:05:18	ga_s2am_ard_3-2-1_50JKQ_2018-12-01_final
2018-12-08 11:56:28	ga_s2am_ard_3-2-1_50HMK_2018-12-08_final
2019-02-19 12:04:39	ga_s2am_ard_3-2-1_50JKT_2019-02-19_final
2019-03-01 12:04:52	ga_s2am_ard_3-2-1_50JKS_2019-03-01_final
2019-03-05 11:47:09	ga_s2am_ard_3-2-1_50HLH_2019-03-05_final
2019-04-10 12:04:29	ga_s2am_ard_3-2-1_49KHP_2019-04-10_final
2019-05-14 11:47:14	ga_s2am_ard_3-2-1_50HMH_2019-05-14_final
2019-05-24 11:45:57	ga_s2am_ard_3-2-1_50JNN_2019-05-24_final
2019-07-03 11:46:46	ga_s2am_ard_3-2-1_50HMK_2019-07-03_final
2019-08-15 11:56:40	ga_s2am_ard_3-2-1_50HMK_2019-08-15_final
2019-10-17 12:04:42	ga_s2am_ard_3-2-1_50JLT_2019-10-17_final
2019-11-16 12:06:09	ga_s2am_ard_3-2-1_50JLM_2019-11-16_final
2019-12-27 11:37:12	ga_s2am_ard_3-2-1_50HQG_2019-12-27_final.stac-item
2020-01-15 12:05:20	ga_s2am_ard_3-2-1_50JKQ_2020-01-15_final
2020-01-18 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2020-01-18_final
2020-01-19 11:46:47	ga_s2am_ard_3-2-1_50HQH_2020-01-19_final
2020-02-11 11:55:10	ga_s2am_ard_3-2-1_50JLR_2020-02-11_final
2020-03-08 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2020-03-08_final
2020-03-28 12:14:17	ga_s2am_ard_3-2-1_49KHP_2020-03-28_final
2020-04-08 11:47:12	ga_s2am_ard_3-2-1_50HLH_2020-04-08_final
2020-08-29 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2020-08-29_final
2020-09-15 11:46:45	ga_s2am_ard_3-2-1_50HMK_2020-09-15_final
2020-10-24 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-10-24_final
2020-11-30 12:04:57	ga_s2am_ard_3-2-1_50JKS_2020-11-30_final
2020-12-30 12:04:39	ga_s2am_ard_3-2-1_50JLT_2020-12-30_final
2021-01-19 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-01-19_final
2021-01-23 11:45:55	ga_s2am_ard_3-2-1_50JNN_2021-01-23_final
2021-02-12 11:46:39	ga_s2am_ard_3-2-1_50HMK_2021-02-12_final
2021-02-15 11:56:35	ga_s2am_ard_3-2-1_50HMK_2021-02-15_final
2021-02-28 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-02-28_final
2021-04-22 12:14:17	ga_s2am_ard_3-2-1_49KHP_2021-04-22_final
2021-05-09 12:04:56	ga_s2am_ard_3-2-1_50JKS_2021-05-09_final
2021-05-26 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-05-26_final
2021-06-05 11:55:50	ga_s2am_ard_3-2-1_50JNN_2021-06-05_final
2021-06-15 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-06-15_final
2021-07-31 12:14:22	ga_s2am_ard_3-2-1_49KHP_2021-07-31_final
2021-09-06 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-09-06_final
2021-10-26 12:04:44	ga_s2am_ard_3-2-1_50JLT_2021-10-26_final
2021-11-15 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2021-11-15_final
2021-12-25 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-12-25_final
2022-01-04 12:04:58	ga_s2am_ard_3-2-1_49JHM_2022-01-04_final
2022-01-07 12:14:22	ga_s2am_ard_3-2-1_49KHP_2022-01-07_final
2022-01-14 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2022-01-14_final
2022-02-17 11:45:55	ga_s2am_ard_3-2-1_50JNN_2022-02-17_final
2022-03-05 12:05:01	ga_s2am_ard_3-2-1_50JKS_2022-03-05_final
2022-03-05 12:05:08	ga_s2am_ard_3-2-1_50JKS_2022-03-05_final
2022-04-21 11:56:41	ga_s2am_ard_3-2-1_50HMK_2022-04-21_final
2022-04-28 11:47:26	ga_s2am_ard_3-2-1_50HNG_2022-04-28_final.stac-item
2022-05-21 11:55:16	ga_s2am_ard_3-2-1_50JMR_2022-05-21_final
2022-07-13 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-07-13_final
2022-08-02 12:05:04	ga_s2am_ard_3-2-1_50JLS_2022-08-02_final
2022-08-22 12:05:10	ga_s2am_ard_3-2-1_50JKS_2022-08-22_final
2022-08-22 12:05:39	ga_s2am_ard_3-2-1_50JKQ_2022-08-22_final
2022-08-26 11:47:08	ga_s2am_ard_3-2-1_50HMJ_2022-08-26_final.stac-item
2022-10-14 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-10-14_final.stac-item
2022-11-07 11:55:43	ga_s2am_ard_3-2-1_50JMP_2022-11-07_final.stac-item
2022-11-14 11:47:20	ga_s2am_ard_3-2-1_50HPG_2022-11-14_final.stac-item
2023-04-03 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-04-03_final.stac-item
2023-04-29 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2023-04-29_final.stac-item
2023-05-19 12:05:14	ga_s2am_ard_3-2-1_50JKR_2023-05-19_final.stac-item
2023-05-23 11:45:57	ga_s2am_ard_3-2-1_50JNN_2023-05-23_final.stac-item
2023-05-26 11:54:48	ga_s2am_ard_3-2-1_50JLT_2023-05-26_final.stac-item
2023-07-08 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-07-08_final.stac-item
2023-07-31 12:13:45	ga_s2am_ard_3-2-1_49KHS_2023-07-31_final.stac-item
2023-08-10 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2023-08-10_final.stac-item
2023-09-26 12:03:47	ga_s2am_ard_3-2-1_49KHS_2023-09-26_final.stac-item
2023-10-03 11:55:51	ga_s2am_ard_3-2-1_50JLP_2023-10-03_final.stac-item
2023-10-13 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-10-13_final.stac-item
2023-11-05 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-11-05_final.stac-item
2023-11-22 11:54:54	ga_s2am_ard_3-2-1_50JLS_2023-11-22_final.stac-item
2023-12-06 11:37:11	ga_s2am_ard_3-2-1_50HQG_2023-12-06_final.stac-item
2024-02-07 11:46:38	ga_s2am_ard_3-2-1_50HMK_2024-02-07_final.stac-item
2024-03-01 11:55:39	ga_s2am_ard_3-2-1_50JMP_2024-03-01_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