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
2017-06-03 10:01:18	ga_s2am_ard_3-2-1_55JCN_2017-06-03_final
2017-07-23 10:00:34	ga_s2am_ard_3-2-1_55KCQ_2017-07-23_final
2017-07-27 09:42:14	ga_s2am_ard_3-2-1_55JGJ_2017-07-27_final
2017-08-15 10:07:06	ga_s2am_ard_3-2-1_54KZF_2017-08-15_final
2017-08-15 10:07:06	ga_s2am_ard_3-2-1_54KZC_2017-08-15_final
2017-09-05 09:43:53	ga_s2am_ard_3-2-1_55JGJ_2017-09-05_final
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55JBL_2017-09-11_final
2018-04-13 09:41:10	ga_s2am_ard_3-2-1_55JFG_2018-04-13_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55JGJ_2018-05-23_final
2018-05-29 09:57:09	ga_s2am_ard_3-2-1_55JCN_2018-05-29_final
2018-05-29 09:57:09	ga_s2am_ard_3-2-1_55JBL_2018-05-29_final
2018-06-01 10:07:05	ga_s2am_ard_3-2-1_54KYE_2018-06-01_final
2018-06-01 10:07:05	ga_s2am_ard_3-2-1_54KYA_2018-06-01_final
2018-07-08 09:57:08	ga_s2am_ard_3-2-1_55JBL_2018-07-08_final
2018-07-15 09:50:55	ga_s2am_ard_3-2-1_55JEL_2018-07-15_final
2018-08-20 10:07:04	ga_s2am_ard_3-2-1_54KYU_2018-08-20_final
2018-08-24 09:50:53	ga_s2am_ard_3-2-1_55JEK_2018-08-24_final
2018-09-22 10:17:01	ga_s2am_ard_3-2-1_54KXG_2018-09-22_final
2018-09-26 09:57:03	ga_s2am_ard_3-2-1_55KCQ_2018-09-26_final
2019-01-17 10:13:19	ga_s2am_ard_3-2-1_54KYV_2019-01-17_final
2019-02-10 09:54:13	ga_s2am_ard_3-2-1_55JEL_2019-02-10_final
2019-03-31 10:23:00	ga_s2am_ard_3-2-1_54KVB_2019-03-31_final
2019-05-31 09:55:06	ga_s2am_ard_3-2-1_55JDH_2019-05-31_final
2019-06-03 10:03:52	ga_s2am_ard_3-2-1_55JCN_2019-06-03_final
2019-06-26 10:12:26	ga_s2am_ard_3-2-1_54KZD_2019-06-26_final
2019-07-19 10:22:47	ga_s2am_ard_3-2-1_54KWC_2019-07-19_final
2019-07-23 10:04:27	ga_s2am_ard_3-2-1_55JBL_2019-07-23_final
2019-08-19 09:54:19	ga_s2am_ard_3-2-1_55JEL_2019-08-19_final
2019-08-25 10:12:38	ga_s2am_ard_3-2-1_54KZC_2019-08-25_final
2019-08-26 09:45:17	ga_s2am_ard_3-2-1_55JFG_2019-08-26_final
2019-09-04 10:11:53	ga_s2am_ard_3-2-1_54KZF_2019-09-04_final
2019-09-05 09:44:46	ga_s2am_ard_3-2-1_55JFJ_2019-09-05_final
2019-09-11 10:04:20	ga_s2am_ard_3-2-1_55JBL_2019-09-11_final
2019-09-14 10:12:09	ga_s2am_ard_3-2-1_54KYE_2019-09-14_final
2019-09-15 09:45:32	ga_s2am_ard_3-2-1_55JEF_2019-09-15_final
2019-10-21 10:03:41	ga_s2am_ard_3-2-1_54KZU_2019-10-21_final
2019-10-28 09:55:54	ga_s2am_ard_3-2-1_55HCE_2019-10-28_final
2019-11-13 10:11:55	ga_s2am_ard_3-2-1_54KZF_2019-11-13_final
2019-11-14 09:45:03	ga_s2am_ard_3-2-1_55JFH_2019-11-14_final
2019-11-27 09:54:49	ga_s2am_ard_3-2-1_55JDJ_2019-11-27_final
2019-12-07 09:55:01	ga_s2am_ard_3-2-1_55JDH_2019-12-07_final
2019-12-13 10:13:19	ga_s2am_ard_3-2-1_54KYV_2019-12-13_final
2020-01-19 10:03:14	ga_s2am_ard_3-2-1_55KCQ_2020-01-19_final
2020-04-22 09:44:44	ga_s2am_ard_3-2-1_55JGJ_2020-04-22_final
2020-05-04 10:22:45	ga_s2am_ard_3-2-1_54KWC_2020-05-04_final
2020-05-18 10:04:27	ga_s2am_ard_3-2-1_55JBL_2020-05-18_final
2020-05-25 09:53:10	ga_s2am_ard_3-2-1_55KER_2020-05-25_final
2020-06-04 09:54:23	ga_s2am_ard_3-2-1_55JEL_2020-06-04_final
2020-06-11 09:44:52	ga_s2am_ard_3-2-1_55JFJ_2020-06-11_final
2020-06-27 10:03:40	ga_s2am_ard_3-2-1_55KCP_2020-06-27_final
2020-08-16 10:02:28	ga_s2am_ard_3-2-1_55KCU_2020-08-16_final
2020-09-01 10:21:31	ga_s2am_ard_3-2-1_54LXH_2020-09-01_final
2020-09-11 10:22:46	ga_s2am_ard_3-2-1_54KWC_2020-09-11_final
2020-09-12 09:54:53	ga_s2am_ard_3-2-1_55JDJ_2020-09-12_final
2020-09-12 09:56:26	ga_s2am_ard_3-2-1_55HBC_2020-09-12_final
2020-09-25 10:04:09	ga_s2am_ard_3-2-1_55JCM_2020-09-25_final
2020-10-19 09:45:39	ga_s2am_ard_3-2-1_55JEF_2020-10-19_final
2020-10-28 10:13:43	ga_s2am_ard_3-2-1_54KYU_2020-10-28_final
2020-11-01 09:54:36	ga_s2am_ard_3-2-1_55JEK_2020-11-01_final
2021-02-22 10:03:49	ga_s2am_ard_3-2-1_55JCN_2021-02-22_final
2021-04-13 10:02:57	ga_s2am_ard_3-2-1_55KDR_2021-04-13_final
2021-04-13 10:03:44	ga_s2am_ard_3-2-1_55JCN_2021-04-13_final
2021-04-30 09:55:15	ga_s2am_ard_3-2-1_55JDG_2021-04-30_final
2021-05-09 10:21:54	ga_s2am_ard_3-2-1_54KXF_2021-05-09_final
2021-05-20 09:54:49	ga_s2am_ard_3-2-1_55JDJ_2021-05-20_final
2021-06-08 10:22:14	ga_s2am_ard_3-2-1_54KWE_2021-06-08_final
2021-06-12 10:03:50	ga_s2am_ard_3-2-1_55JCN_2021-06-12_final
2021-07-12 10:03:53	ga_s2am_ard_3-2-1_55JCN_2021-07-12_final
2021-07-15 10:11:41	ga_s2am_ard_3-2-1_54KZG_2021-07-15_final
2021-07-22 10:02:26	ga_s2am_ard_3-2-1_55KCU_2021-07-22_final
2021-08-01 10:03:24	ga_s2am_ard_3-2-1_55KCQ_2021-08-01_final
2021-08-24 10:12:24	ga_s2am_ard_3-2-1_54KZD_2021-08-24_final
2021-08-28 09:55:20	ga_s2am_ard_3-2-1_55JDG_2021-08-28_final
2021-09-07 09:55:51	ga_s2am_ard_3-2-1_55HCE_2021-09-07_final
2021-09-10 10:03:50	ga_s2am_ard_3-2-1_55JCN_2021-09-10_final
2021-10-03 10:13:13	ga_s2am_ard_3-2-1_54KYA_2021-10-03_final
2021-10-13 10:13:28	ga_s2am_ard_3-2-1_54KYV_2021-10-13_final
2021-10-20 10:03:26	ga_s2am_ard_3-2-1_55KCQ_2021-10-20_final
2022-01-08 10:03:51	ga_s2am_ard_3-2-1_55JCN_2022-01-08_final
2022-01-15 09:54:17	ga_s2am_ard_3-2-1_55JEL_2022-01-15_final
2022-02-04 09:56:22	ga_s2am_ard_3-2-1_55HBC_2022-02-04_final
2022-02-20 10:13:25	ga_s2am_ard_3-2-1_54KYV_2022-02-20_final
2022-04-05 09:56:24	ga_s2am_ard_3-2-1_55HBC_2022-04-05_final
2022-04-18 10:03:53	ga_s2am_ard_3-2-1_55JCN_2022-04-18_final
2022-05-04 10:23:01	ga_s2am_ard_3-2-1_54KWB_2022-05-04_final
2022-07-23 10:22:42	ga_s2am_ard_3-2-1_54KVD_2022-07-23_final
2022-07-27 10:02:58	ga_s2am_ard_3-2-1_55KDS_2022-07-27_final
2022-08-19 10:12:33	ga_s2am_ard_3-2-1_55KBU_2022-08-19_final
2022-08-19 10:12:49	ga_s2am_ard_3-2-1_54KZC_2022-08-19_final
2022-08-26 10:04:02	ga_s2am_ard_3-2-1_55JCN_2022-08-26_final
2023-02-12 10:02:46	ga_s2am_ard_3-2-1_55KDS_2023-02-12_final.stac-item
2023-02-19 11:32:55	ga_s2am_ard_3-2-1_51KWU_2023-02-19_final.stac-item
2023-03-12 11:04:28	ga_s2am_ard_3-2-1_52JES_2023-03-12_final.stac-item
2023-04-02 10:33:34	ga_s2am_ard_3-2-1_53KQQ_2023-04-02_final.stac-item
2023-05-10 09:54:48	ga_s2am_ard_3-2-1_55JDJ_2023-05-10_final.stac-item
2023-05-10 09:55:50	ga_s2am_ard_3-2-1_55HCE_2023-05-10_final.stac-item
2023-05-12 10:33:15	ga_s2am_ard_3-2-1_54KTA_2023-05-12_final.stac-item
2023-05-13 11:43:33	ga_s2am_ard_3-2-1_50KRB_2023-05-13_final.stac-item
2023-05-17 09:45:16	ga_s2am_ard_3-2-1_55JFG_2023-05-17_final.stac-item
2023-05-18 10:53:26	ga_s2am_ard_3-2-1_53KLR_2023-05-18_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