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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JLN_2015-10-08_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50KMC_2015-12-17_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HQJ_2016-02-06_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_50KKA_2016-04-18_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGM_2016-05-15_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50KRA_2017-01-24_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HQK_2017-05-11_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50JQN_2017-07-10_final
2017-07-22 12:14:43	ga_s2am_ard_3-2-1_49JGM_2017-07-22_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50JML_2017-08-15_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKN_2017-08-18_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50KPC_2018-02-01_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50JNQ_2018-02-08_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMJ_2018-02-08_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2018-02-11_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HQH_2018-02-15_final
2018-04-02 11:48:25	ga_s2am_ard_3-2-1_50KPC_2018-04-02_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_50KNC_2018-06-14_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQG_2018-08-14_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMG_2018-08-17_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKN_2018-08-23_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JMM_2018-09-29_final
2018-11-08 11:53:06	ga_s2am_ard_3-2-1_50KRC_2018-11-08_final
2018-11-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2018-11-11_final
2018-12-28 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2018-12-28_final
2019-01-30 12:04:25	ga_s2am_ard_3-2-1_50KKU_2019-01-30_final
2019-01-30 12:04:39	ga_s2am_ard_3-2-1_50JKT_2019-01-30_final
2019-02-23 11:47:13	ga_s2am_ard_3-2-1_50HPG_2019-02-23_final.stac-item
2019-04-10 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-04-10_final
2019-04-17 11:56:10	ga_s2am_ard_3-2-1_50JMM_2019-04-17_final
2019-06-26 11:54:45	ga_s2am_ard_3-2-1_50JMT_2019-06-26_final
2019-08-18 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-08-18_final.stac-item
2019-08-21 12:13:56	ga_s2am_ard_3-2-1_50KKA_2019-08-21_final
2019-09-08 11:37:25	ga_s2am_ard_3-2-1_50HNG_2019-09-08_final.stac-item
2019-10-01 11:45:34	ga_s2am_ard_3-2-1_50JQP_2019-10-01_final
2019-10-17 12:03:23	ga_s2am_ard_3-2-1_50KNC_2019-10-17_final
2019-10-31 11:43:07	ga_s2am_ard_3-2-1_50KRD_2019-10-31_final
2019-10-31 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-31_final
2019-11-23 11:55:54	ga_s2am_ard_3-2-1_50JMN_2019-11-23_final
2019-12-16 12:03:18	ga_s2am_ard_3-2-1_50KMC_2019-12-16_final
2020-01-19 11:43:27	ga_s2am_ard_3-2-1_50KRB_2020-01-19_final
2020-02-11 11:53:24	ga_s2am_ard_3-2-1_50KQB_2020-02-11_final
2020-02-21 11:52:28	ga_s2am_ard_3-2-1_50KQF_2020-02-21_final.stac-item
2020-02-21 11:55:29	ga_s2am_ard_3-2-1_50JNP_2020-02-21_final
2020-04-08 11:47:14	ga_s2am_ard_3-2-1_50HPG_2020-04-08_final.stac-item
2020-05-08 11:44:57	ga_s2am_ard_3-2-1_50JPS_2020-05-08_final
2020-05-11 11:56:27	ga_s2am_ard_3-2-1_50JML_2020-05-11_final
2020-06-04 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-06-04_final
2020-07-13 12:04:32	ga_s2am_ard_3-2-1_49KHP_2020-07-13_final
2020-08-19 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-08-19_final
2020-09-24 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-09-24_final
2020-10-08 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-10-08_final
2020-10-21 12:03:29	ga_s2am_ard_3-2-1_50KMC_2020-10-21_final
2020-10-21 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-21_final
2020-11-03 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-11-03_final
2020-11-10 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2020-11-10_final
2020-12-14 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2020-12-14_final
2021-01-06 11:52:35	ga_s2am_ard_3-2-1_50KQF_2021-01-06_final.stac-item
2021-01-10 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-01-10_final.stac-item
2021-02-05 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-05_final
2021-02-18 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-02-18_final
2021-04-16 11:53:11	ga_s2am_ard_3-2-1_50KQC_2021-04-16_final
2021-06-22 11:46:24	ga_s2am_ard_3-2-1_50JNL_2021-06-22_final
2021-07-01 12:13:56	ga_s2am_ard_3-2-1_50KKA_2021-07-01_final
2021-07-05 11:54:21	ga_s2am_ard_3-2-1_50KPU_2021-07-05_final
2021-07-05 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-07-05_final
2021-08-11 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2021-08-11_final
2021-09-16 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-09-16_final
2021-10-30 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2021-10-30_final
2021-12-18 12:14:46	ga_s2am_ard_3-2-1_49JFN_2021-12-18_final
2022-01-08 11:46:39	ga_s2am_ard_3-2-1_50HNK_2022-01-08_final
2022-01-25 11:35:50	ga_s2am_ard_3-2-1_50JQN_2022-01-25_final
2022-01-28 11:47:24	ga_s2am_ard_3-2-1_50HMG_2022-01-28_final.stac-item
2022-02-06 12:13:54	ga_s2am_ard_3-2-1_50KKA_2022-02-06_final
2022-03-12 11:53:21	ga_s2am_ard_3-2-1_50KQC_2022-03-12_final
2022-04-01 11:57:22	ga_s2am_ard_3-2-1_50HMG_2022-04-01_final.stac-item
2022-04-24 12:03:25	ga_s2am_ard_3-2-1_50KNC_2022-04-24_final
2022-05-15 11:36:24	ga_s2am_ard_3-2-1_50JQL_2022-05-15_final
2022-05-25 11:36:45	ga_s2am_ard_3-2-1_50HPK_2022-05-25_final
2022-06-10 11:55:51	ga_s2am_ard_3-2-1_50JLP_2022-06-10_final
2022-06-20 11:53:33	ga_s2am_ard_3-2-1_50KPC_2022-06-20_final
2022-08-09 11:57:21	ga_s2am_ard_3-2-1_50HLH_2022-08-09_final
2022-09-21 12:04:50	ga_s2am_ard_3-2-1_49JHN_2022-09-21_final.stac-item
2022-09-22 11:36:27	ga_s2am_ard_3-2-1_50JQL_2022-09-22_final.stac-item
2022-10-08 11:53:27	ga_s2am_ard_3-2-1_50KPC_2022-10-08_final.stac-item
2022-10-31 12:04:32	ga_s2am_ard_3-2-1_49KHP_2022-10-31_final.stac-item
2022-10-31 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-10-31_final.stac-item
2022-11-27 11:55:56	ga_s2am_ard_3-2-1_50JLN_2022-11-27_final.stac-item
2022-12-15 12:51:00	ga_s2am_ard_3-2-1_48LWP_2022-12-15_final.stac-item
2022-12-21 11:34:35	ga_s2am_ard_3-2-1_50JRT_2022-12-21_final.stac-item
2023-01-23 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2023-01-23_final.stac-item
2023-02-12 11:46:14	ga_s2am_ard_3-2-1_50JNL_2023-02-12_final.stac-item
2023-06-29 11:36:30	ga_s2am_ard_3-2-1_50JPL_2023-06-29_final.stac-item
2023-08-21 11:46:21	ga_s2am_ard_3-2-1_50JQL_2023-08-21_final.stac-item
2023-09-06 12:04:48	ga_s2am_ard_3-2-1_50JKT_2023-09-06_final.stac-item
2023-12-05 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2023-12-05_final.stac-item
2024-01-11 11:53:37	ga_s2am_ard_3-2-1_50KMB_2024-01-11_final.stac-item
2024-01-11 11:55:48	ga_s2am_ard_3-2-1_50JMN_2024-01-11_final.stac-item
2024-01-11 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2024-01-11_final.stac-item
2024-05-23 12:03:58	ga_s2am_ard_3-2-1_49KHR_2024-05-23_nrt.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