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_50HMK_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JLQ_2015-11-14_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KGQ_2016-03-16_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNN_2016-05-29_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JNN_2016-07-01_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JNN_2016-08-10_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JKQ_2016-10-02_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JLQ_2016-10-29_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHS_2016-11-11_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JHN_2016-12-01_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHP_2016-12-31_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JMT_2017-01-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JHN_2017-05-30_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JLT_2017-07-16_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JNN_2017-11-13_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHQ_2017-12-26_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-03-06_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HMK_2018-03-23_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKR_2018-04-25_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMJ_2018-06-01_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-08-03_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2018-08-03_final
2018-11-08 11:54:50	ga_s2am_ard_3-2-1_50JMS_2018-11-08_final
2018-11-28 11:55:41	ga_s2am_ard_3-2-1_50JNN_2018-11-28_final
2019-02-23 11:45:07	ga_s2am_ard_3-2-1_50JNR_2019-02-23_final
2019-02-26 11:57:19	ga_s2am_ard_3-2-1_50HLG_2019-02-26_final.stac-item
2019-04-10 12:04:37	ga_s2am_ard_3-2-1_50JMT_2019-04-10_final
2019-04-27 11:55:53	ga_s2am_ard_3-2-1_50JNN_2019-04-27_final
2019-05-07 11:55:53	ga_s2am_ard_3-2-1_50JNN_2019-05-07_final
2019-06-19 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2019-06-19_final
2019-07-16 11:55:55	ga_s2am_ard_3-2-1_50JNN_2019-07-16_final
2019-09-27 12:03:45	ga_s2am_ard_3-2-1_49KHS_2019-09-27_final.stac-item
2019-09-27 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2019-09-27_final
2019-10-28 11:37:30	ga_s2am_ard_3-2-1_50HNG_2019-10-28_final.stac-item
2019-11-06 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2019-11-06_final
2019-11-20 11:45:26	ga_s2am_ard_3-2-1_50JNQ_2019-11-20_final
2020-01-12 11:54:31	ga_s2am_ard_3-2-1_50JNT_2020-01-12_final
2020-03-22 11:55:09	ga_s2am_ard_3-2-1_50JLR_2020-03-22_final
2020-04-08 11:46:38	ga_s2am_ard_3-2-1_50HMK_2020-04-08_final
2020-04-21 11:54:59	ga_s2am_ard_3-2-1_50JLS_2020-04-21_final
2020-05-14 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2020-05-14_final
2020-06-17 11:46:00	ga_s2am_ard_3-2-1_50JNN_2020-06-17_final
2020-07-13 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-07-13_final
2020-07-30 11:54:50	ga_s2am_ard_3-2-1_50JLT_2020-07-30_final
2020-08-15 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-08-15_final
2020-08-26 11:45:30	ga_s2am_ard_3-2-1_50JNQ_2020-08-26_final
2020-08-29 11:55:25	ga_s2am_ard_3-2-1_50JNQ_2020-08-29_final
2020-10-11 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-10-11_final
2020-10-25 11:46:18	ga_s2am_ard_3-2-1_50JMM_2020-10-25_final
2020-10-28 11:55:55	ga_s2am_ard_3-2-1_50JNN_2020-10-28_final
2020-11-03 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-11-03_final
2020-11-17 11:55:52	ga_s2am_ard_3-2-1_50JNN_2020-11-17_final
2020-11-20 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2020-11-20_final
2020-11-23 12:14:10	ga_s2am_ard_3-2-1_49KHQ_2020-11-23_final
2020-12-07 11:55:47	ga_s2am_ard_3-2-1_50JNN_2020-12-07_final
2020-12-10 12:05:08	ga_s2am_ard_3-2-1_50JKR_2020-12-10_final
2021-01-23 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-01-23_final
2021-02-15 11:54:57	ga_s2am_ard_3-2-1_50JLS_2021-02-15_final
2021-03-10 12:04:53	ga_s2am_ard_3-2-1_50JLS_2021-03-10_final
2021-03-17 11:55:49	ga_s2am_ard_3-2-1_50JNN_2021-03-17_final
2021-04-06 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2021-04-06_final
2021-04-26 11:54:48	ga_s2am_ard_3-2-1_50JNS_2021-04-26_final
2021-06-02 11:45:37	ga_s2am_ard_3-2-1_50JPP_2021-06-02_final
2021-06-15 11:55:39	ga_s2am_ard_3-2-1_50JMP_2021-06-15_final
2021-06-25 11:56:38	ga_s2am_ard_3-2-1_50HMK_2021-06-25_final
2021-06-28 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2021-06-28_final
2021-07-01 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2021-07-01_final
2021-07-15 11:54:44	ga_s2am_ard_3-2-1_50JMT_2021-07-15_final
2021-09-23 11:56:39	ga_s2am_ard_3-2-1_50HMK_2021-09-23_final
2021-10-03 11:55:02	ga_s2am_ard_3-2-1_50JLS_2021-10-03_final
2021-10-06 12:05:17	ga_s2am_ard_3-2-1_50JKR_2021-10-06_final
2022-01-24 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2022-01-24_final
2022-02-17 11:47:15	ga_s2am_ard_3-2-1_50HLH_2022-02-17_final
2022-03-02 11:55:24	ga_s2am_ard_3-2-1_50JNQ_2022-03-02_final
2022-03-22 11:54:55	ga_s2am_ard_3-2-1_50JNS_2022-03-22_final
2022-03-25 12:04:42	ga_s2am_ard_3-2-1_50JLT_2022-03-25_final
2022-04-14 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2022-04-14_final
2022-05-07 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-05-07_final.stac-item
2022-05-08 11:45:29	ga_s2am_ard_3-2-1_50JNQ_2022-05-08_final
2022-05-11 11:56:34	ga_s2am_ard_3-2-1_50HNK_2022-05-11_final
2022-09-11 12:04:29	ga_s2am_ard_3-2-1_49KGQ_2022-09-11_final.stac-item
2022-09-18 11:55:33	ga_s2am_ard_3-2-1_50JMQ_2022-09-18_final.stac-item
2022-10-01 12:05:01	ga_s2am_ard_3-2-1_50JLS_2022-10-01_final.stac-item
2022-11-20 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2022-11-20_final.stac-item
2022-12-30 12:03:43	ga_s2am_ard_3-2-1_49KHS_2022-12-30_final.stac-item
2023-01-19 12:04:23	ga_s2am_ard_3-2-1_49KHP_2023-01-19_final.stac-item
2023-02-18 12:04:53	ga_s2am_ard_3-2-1_49JHM_2023-02-18_final.stac-item
2023-03-11 11:36:29	ga_s2am_ard_3-2-1_50HQK_2023-03-11_final.stac-item
2023-03-14 11:45:21	ga_s2am_ard_3-2-1_50JNQ_2023-03-14_final.stac-item
2023-04-06 11:55:06	ga_s2am_ard_3-2-1_50JNR_2023-04-06_final.stac-item
2023-04-26 11:55:35	ga_s2am_ard_3-2-1_50JNP_2023-04-26_final.stac-item
2023-05-03 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2023-05-03_final.stac-item
2023-09-26 12:04:56	ga_s2am_ard_3-2-1_50JLS_2023-09-26_final.stac-item
2023-09-27 11:37:19	ga_s2am_ard_3-2-1_50HQG_2023-09-27_final.stac-item
2023-11-08 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-11-08_final.stac-item
2023-12-05 12:04:32	ga_s2am_ard_3-2-1_50JLT_2023-12-05_final.stac-item
2024-03-18 11:46:41	ga_s2am_ard_3-2-1_50HMK_2024-03-18_final.stac-item
2024-03-24 12:04:58	ga_s2am_ard_3-2-1_49JHM_2024-03-24_final.stac-item
2024-04-03 12:04:54	ga_s2am_ard_3-2-1_49JHM_2024-04-03_final.stac-item
2024-04-13 12:04:58	ga_s2am_ard_3-2-1_49JHM_2024-04-13_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