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 11:47:22	ga_s2am_ard_3-2-1_50KQG_2015-11-14_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KMC_2016-06-04_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50KKA_2017-05-10_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HPK_2017-07-30_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50KMC_2017-09-27_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMJ_2017-10-24_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMN_2017-12-03_final
2017-12-23 11:49:15	ga_s2am_ard_3-2-1_50KQC_2017-12-23_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JVG_2017-12-24_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50KMC_2018-03-06_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51JXN_2018-04-06_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JMM_2018-05-02_final
2018-06-02 11:23:55	ga_s2am_ard_3-2-1_51JWF_2018-06-02_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50KKB_2018-06-04_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_50KKA_2018-09-05_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50KNC_2018-10-22_final
2018-11-12 11:36:21	ga_s2am_ard_3-2-1_50JPL_2018-11-12_final
2018-12-09 11:24:10	ga_s2am_ard_3-2-1_51JZN_2018-12-09_final
2019-02-07 11:26:58	ga_s2am_ard_3-2-1_51HUC_2019-02-07_final
2019-02-19 12:03:55	ga_s2am_ard_3-2-1_50KKA_2019-02-19_final
2019-02-20 11:34:25	ga_s2am_ard_3-2-1_51JVN_2019-02-20_final
2019-05-27 11:53:24	ga_s2am_ard_3-2-1_50KPC_2019-05-27_final
2019-06-13 11:45:58	ga_s2am_ard_3-2-1_51JTG_2019-06-13_final
2019-06-13 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-06-13_final
2019-06-17 11:24:22	ga_s2am_ard_3-2-1_51JZN_2019-06-17_final
2019-08-16 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-08-16_final
2019-09-05 11:26:47	ga_s2am_ard_3-2-1_51HUD_2019-09-05_final
2019-09-08 11:37:00	ga_s2am_ard_3-2-1_51HTC_2019-09-08_final
2019-10-11 11:44:16	ga_s2am_ard_3-2-1_51KUP_2019-10-11_final
2019-11-03 11:55:52	ga_s2am_ard_3-2-1_50JNN_2019-11-03_final
2019-11-07 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2019-11-07_final
2019-11-19 12:13:41	ga_s2am_ard_3-2-1_50KKB_2019-11-19_final
2019-11-20 11:43:04	ga_s2am_ard_3-2-1_51KTU_2019-11-20_final
2020-01-23 11:26:40	ga_s2am_ard_3-2-1_51HUD_2020-01-23_final
2020-01-25 12:03:52	ga_s2am_ard_3-2-1_49KHR_2020-01-25_final
2020-02-02 11:26:54	ga_s2am_ard_3-2-1_51HUC_2020-02-02_final
2020-02-11 11:57:13	ga_s2am_ard_3-2-1_50HMG_2020-02-11_final.stac-item
2020-02-18 11:43:45	ga_s2am_ard_3-2-1_50KQA_2020-02-18_final
2020-03-19 11:46:34	ga_s2am_ard_3-2-1_50HNK_2020-03-19_final
2020-03-28 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2020-03-28_final
2020-04-11 11:53:19	ga_s2am_ard_3-2-1_50KPC_2020-04-11_final
2020-05-05 11:36:37	ga_s2am_ard_3-2-1_50HQK_2020-05-05_final
2020-05-12 11:26:01	ga_s2am_ard_3-2-1_51JWG_2020-05-12_final
2020-05-18 11:43:09	ga_s2am_ard_3-2-1_50KRD_2020-05-18_final
2020-06-13 12:04:49	ga_s2am_ard_3-2-1_49JHN_2020-06-13_final
2020-06-17 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-06-17_final
2020-08-07 11:16:28	ga_s2am_ard_3-2-1_51HYE_2020-08-07_final
2020-08-25 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-08-25_final
2020-09-19 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2020-09-19_final
2020-10-26 11:17:04	ga_s2am_ard_3-2-1_51HWC_2020-10-26_final.stac-item
2020-11-24 11:47:26	ga_s2am_ard_3-2-1_50HMG_2020-11-24_final.stac-item
2020-12-01 11:37:26	ga_s2am_ard_3-2-1_50HNG_2020-12-01_final.stac-item
2020-12-10 12:04:24	ga_s2am_ard_3-2-1_49KHP_2020-12-10_final
2021-01-07 11:24:45	ga_s2am_ard_3-2-1_51JWM_2021-01-07_final
2021-02-16 11:26:46	ga_s2am_ard_3-2-1_51HUD_2021-02-16_final
2021-04-09 12:03:47	ga_s2am_ard_3-2-1_50KMA_2021-04-09_final
2021-04-19 12:03:18	ga_s2am_ard_3-2-1_50KMC_2021-04-19_final
2021-06-15 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-06-15_final
2021-06-19 11:34:34	ga_s2am_ard_3-2-1_51JUN_2021-06-19_final
2021-07-09 11:37:29	ga_s2am_ard_3-2-1_50HNG_2021-07-09_final.stac-item
2021-07-11 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-11_final
2021-10-23 11:54:28	ga_s2am_ard_3-2-1_50KNU_2021-10-23_final
2021-11-23 11:24:26	ga_s2am_ard_3-2-1_51JXN_2021-11-23_final
2022-01-01 11:52:21	ga_s2am_ard_3-2-1_50KQG_2022-01-01_final.stac-item
2022-02-13 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2022-02-13_final
2022-02-17 11:43:34	ga_s2am_ard_3-2-1_50KRB_2022-02-17_final
2022-02-17 11:46:20	ga_s2am_ard_3-2-1_50JPL_2022-02-17_final
2022-04-19 11:15:14	ga_s2am_ard_3-2-1_51JYK_2022-04-19_final
2022-05-18 11:46:43	ga_s2am_ard_3-2-1_50HNK_2022-05-18_final
2022-06-10 11:55:55	ga_s2am_ard_3-2-1_50JKP_2022-06-10_final
2022-06-17 11:44:13	ga_s2am_ard_3-2-1_50KRV_2022-06-17_final
2022-08-13 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-08-13_final
2022-09-25 11:45:39	ga_s2am_ard_3-2-1_50JQP_2022-09-25_final.stac-item
2022-11-14 11:44:16	ga_s2am_ard_3-2-1_51KUP_2022-11-14_final.stac-item
2022-11-20 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2022-11-20_final.stac-item
2022-12-04 11:46:38	ga_s2am_ard_3-2-1_50HNK_2022-12-04_final.stac-item
2023-02-01 12:13:52	ga_s2am_ard_3-2-1_50KKA_2023-02-01_final.stac-item
2023-02-05 11:57:08	ga_s2am_ard_3-2-1_50HLH_2023-02-05_final.stac-item
2023-02-19 11:35:38	ga_s2am_ard_3-2-1_51JVH_2023-02-19_final.stac-item
2023-02-21 12:13:51	ga_s2am_ard_3-2-1_50KKA_2023-02-21_final.stac-item
2023-02-26 11:25:03	ga_s2am_ard_3-2-1_51JYK_2023-02-26_final.stac-item
2023-03-20 12:04:32	ga_s2am_ard_3-2-1_50KKU_2023-03-20_final.stac-item
2023-03-21 11:36:59	ga_s2am_ard_3-2-1_51HTC_2023-03-21_final.stac-item
2023-04-03 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-04-03_final.stac-item
2023-05-10 11:34:43	ga_s2am_ard_3-2-1_51JVM_2023-05-10_final.stac-item
2023-06-21 12:14:31	ga_s2am_ard_3-2-1_49KGP_2023-06-21_final.stac-item
2023-06-22 11:47:06	ga_s2am_ard_3-2-1_50HPH_2023-06-22_final.stac-item
2023-06-25 11:52:23	ga_s2am_ard_3-2-1_50KQG_2023-06-25_final.stac-item
2023-06-26 11:25:45	ga_s2am_ard_3-2-1_51JWH_2023-06-26_final.stac-item
2023-08-05 11:26:34	ga_s2am_ard_3-2-1_51HVE_2023-08-05_final.stac-item
2023-10-13 11:53:19	ga_s2am_ard_3-2-1_50KPC_2023-10-13_final.stac-item
2023-10-20 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-10-20_final.stac-item
2023-11-09 11:46:15	ga_s2am_ard_3-2-1_50JQL_2023-11-09_final.stac-item
2023-12-02 11:53:16	ga_s2am_ard_3-2-1_50KNC_2023-12-02_final.stac-item
2023-12-25 12:03:38	ga_s2am_ard_3-2-1_50KLB_2023-12-25_final.stac-item
2024-02-13 12:03:38	ga_s2am_ard_3-2-1_50KLB_2024-02-13_final.stac-item
2024-02-23 12:04:40	ga_s2am_ard_3-2-1_49JGN_2024-02-23_final.stac-item
2024-03-25 11:36:58	ga_s2am_ard_3-2-1_51HTC_2024-03-25_final.stac-item
2024-04-11 11:24:33	ga_s2am_ard_3-2-1_51JZM_2024-04-11_final.stac-item
2024-04-28 11:17:01	ga_s2am_ard_3-2-1_51HWC_2024-04-28_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