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
2017-03-15 10:01:07	ga_s2am_ard_3-2-1_55JCN_2017-03-15_final
2017-04-13 10:32:10	ga_s2am_ard_3-2-1_54KUD_2017-04-13_final
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54KYE_2017-04-17_final
2017-06-23 10:01:15	ga_s2am_ard_3-2-1_55KDR_2017-06-23_final
2017-07-06 10:11:06	ga_s2am_ard_3-2-1_54KZG_2017-07-06_final
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KWT_2017-07-30_final
2017-08-09 09:54:07	ga_s2am_ard_3-2-1_55JDG_2017-08-09_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50KPB_2017-08-25_final
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55JBM_2017-09-11_final
2017-09-23 10:43:02	ga_s2am_ard_3-2-1_53JLJ_2017-09-23_final
2017-11-03 10:13:41	ga_s2am_ard_3-2-1_54JWS_2017-11-03_final
2017-12-29 10:32:26	ga_s2am_ard_3-2-1_54KTA_2017-12-29_final
2018-01-27 11:02:54	ga_s2am_ard_3-2-1_52JEQ_2018-01-27_final
2018-02-05 09:52:53	ga_s2am_ard_3-2-1_55JEK_2018-02-05_final
2018-02-11 10:11:28	ga_s2am_ard_3-2-1_54JXR_2018-02-11_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_52KBB_2018-03-14_final
2018-03-24 09:42:28	ga_s2am_ard_3-2-1_55JFG_2018-03-24_final
2018-04-15 10:17:07	ga_s2am_ard_3-2-1_54KVV_2018-04-15_final
2018-05-08 10:27:10	ga_s2am_ard_3-2-1_54KTF_2018-05-08_final
2018-08-27 09:57:06	ga_s2am_ard_3-2-1_55JBL_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_51KUT_2018-08-27_final
2018-09-09 10:07:02	ga_s2am_ard_3-2-1_54HVK_2018-09-09_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50KNA_2018-10-19_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51JUM_2018-10-23_final
2018-11-10 10:52:22	ga_s2am_ard_3-2-1_53KLV_2018-11-10_final
2018-11-11 10:23:42	ga_s2am_ard_3-2-1_54KUU_2018-11-11_final
2018-12-28 10:13:16	ga_s2am_ard_3-2-1_54KYV_2018-12-28_final
2018-12-30 10:55:07	ga_s2am_ard_3-2-1_52JGP_2018-12-30_final
2019-02-22 10:32:11	ga_s2am_ard_3-2-1_54KUE_2019-02-22_final
2019-04-02 11:04:29	ga_s2am_ard_3-2-1_52JFS_2019-04-02_final
2019-04-28 09:45:37	ga_s2am_ard_3-2-1_55JEF_2019-04-28_final
2019-05-28 09:45:18	ga_s2am_ard_3-2-1_55JFG_2019-05-28_final
2019-08-15 10:14:17	ga_s2am_ard_3-2-1_54JWS_2019-08-15_final
2019-08-17 10:53:42	ga_s2am_ard_3-2-1_53KLQ_2019-08-17_final
2019-08-18 10:22:30	ga_s2am_ard_3-2-1_54KWD_2019-08-18_final
2019-08-19 11:36:05	ga_s2am_ard_3-2-1_51JTG_2019-08-19_final
2019-08-20 11:01:44	ga_s2am_ard_3-2-1_53LKC_2019-08-20_final
2019-08-22 10:04:10	ga_s2am_ard_3-2-1_55JBM_2019-08-22_final
2019-09-08 09:54:19	ga_s2am_ard_3-2-1_55JDL_2019-09-08_final
2019-10-01 10:02:24	ga_s2am_ard_3-2-1_55KCU_2019-10-01_final
2019-10-07 10:22:30	ga_s2am_ard_3-2-1_54KWD_2019-10-07_final
2019-12-01 11:14:19	ga_s2am_ard_3-2-1_52JCT_2019-12-01_final
2019-12-07 09:54:46	ga_s2am_ard_3-2-1_55JDJ_2019-12-07_final
2019-12-16 10:23:53	ga_s2am_ard_3-2-1_54JVT_2019-12-16_final
2020-02-11 10:12:47	ga_s2am_ard_3-2-1_54KYB_2020-02-11_final
2020-02-20 10:44:00	ga_s2am_ard_3-2-1_53JNN_2020-02-20_final
2020-02-29 11:14:01	ga_s2am_ard_3-2-1_52KCU_2020-02-29_final
2020-04-05 09:54:13	ga_s2am_ard_3-2-1_55JEL_2020-04-05_final
2020-04-12 09:44:45	ga_s2am_ard_3-2-1_55JFJ_2020-04-12_final
2020-04-24 10:21:28	ga_s2am_ard_3-2-1_54LXH_2020-04-24_final
2020-04-25 09:54:22	ga_s2am_ard_3-2-1_55JDL_2020-04-25_final
2020-05-25 09:55:56	ga_s2am_ard_3-2-1_55HCE_2020-05-25_final
2020-06-27 11:44:07	ga_s2am_ard_3-2-1_50KRV_2020-06-27_final
2020-07-13 10:23:33	ga_s2am_ard_3-2-1_54KVV_2020-07-13_final
2020-07-24 11:36:08	ga_s2am_ard_3-2-1_51JTG_2020-07-24_final
2020-08-18 10:45:14	ga_s2am_ard_3-2-1_53JMJ_2020-08-18_final
2020-08-19 10:14:48	ga_s2am_ard_3-2-1_54JWQ_2020-08-19_final
2020-09-01 10:23:51	ga_s2am_ard_3-2-1_54KUU_2020-09-01_final
2020-09-04 10:32:34	ga_s2am_ard_3-2-1_54KUD_2020-09-04_final
2020-09-25 10:03:26	ga_s2am_ard_3-2-1_55KCQ_2020-09-25_final
2020-10-25 11:44:21	ga_s2am_ard_3-2-1_50KRU_2020-10-25_final
2020-11-06 10:42:55	ga_s2am_ard_3-2-1_53KPT_2020-11-06_final
2020-12-17 11:54:02	ga_s2am_ard_3-2-1_50KPV_2020-12-17_final
2021-03-30 10:22:39	ga_s2am_ard_3-2-1_54KWC_2021-03-30_final
2021-04-01 11:04:26	ga_s2am_ard_3-2-1_52JFS_2021-04-01_final
2021-04-11 11:03:08	ga_s2am_ard_3-2-1_52KGB_2021-04-11_final
2021-04-22 10:33:59	ga_s2am_ard_3-2-1_53JQN_2021-04-22_final
2021-04-23 10:04:18	ga_s2am_ard_3-2-1_55JBL_2021-04-23_final
2021-06-19 09:56:23	ga_s2am_ard_3-2-1_55HBC_2021-06-19_final
2021-06-19 11:36:03	ga_s2am_ard_3-2-1_51JTG_2021-06-19_final
2021-06-25 11:53:40	ga_s2am_ard_3-2-1_50KNB_2021-06-25_final
2021-07-12 10:04:25	ga_s2am_ard_3-2-1_55JBL_2021-07-12_final
2021-07-31 10:32:50	ga_s2am_ard_3-2-1_54KTC_2021-07-31_final
2021-08-27 10:22:29	ga_s2am_ard_3-2-1_54KWD_2021-08-27_final
2021-09-07 09:54:17	ga_s2am_ard_3-2-1_55JEL_2021-09-07_final
2021-09-26 10:21:15	ga_s2am_ard_3-2-1_54LXJ_2021-09-26_final
2021-09-30 11:43:19	ga_s2am_ard_3-2-1_51KUT_2021-09-30_final
2021-10-09 10:33:21	ga_s2am_ard_3-2-1_54KTA_2021-10-09_final
2021-11-13 11:24:42	ga_s2am_ard_3-2-1_51JXM_2021-11-13_final
2021-12-01 10:42:50	ga_s2am_ard_3-2-1_53KPT_2021-12-01_final
2021-12-09 10:04:03	ga_s2am_ard_3-2-1_55JCM_2021-12-09_final
2021-12-11 10:44:38	ga_s2am_ard_3-2-1_53JML_2021-12-11_final
2022-04-05 09:56:06	ga_s2am_ard_3-2-1_55HCD_2022-04-05_final
2022-05-17 10:32:34	ga_s2am_ard_3-2-1_54KUD_2022-05-17_final
2022-07-12 10:54:10	ga_s2am_ard_3-2-1_52KHU_2022-07-12_final
2022-07-17 11:44:14	ga_s2am_ard_3-2-1_51KTQ_2022-07-17_final
2022-07-20 10:13:20	ga_s2am_ard_3-2-1_54KYA_2022-07-20_final
2022-07-27 11:44:12	ga_s2am_ard_3-2-1_50KRV_2022-07-27_final
2022-08-17 11:13:02	ga_s2am_ard_3-2-1_52KDD_2022-08-17_final
2022-08-22 10:22:26	ga_s2am_ard_3-2-1_54KWE_2022-08-22_final
2022-08-26 10:04:35	ga_s2am_ard_3-2-1_55JBL_2022-08-26_final
2023-02-12 10:03:48	ga_s2am_ard_3-2-1_55JCN_2023-02-12_final.stac-item
2023-03-18 09:45:13	ga_s2am_ard_3-2-1_55JFG_2023-03-18_final.stac-item
2023-03-27 10:12:34	ga_s2am_ard_3-2-1_54KZC_2023-03-27_final.stac-item
2023-04-20 09:56:21	ga_s2am_ard_3-2-1_55HBC_2023-04-20_final.stac-item
2023-04-27 09:44:42	ga_s2am_ard_3-2-1_55JGJ_2023-04-27_final.stac-item
2023-05-02 12:13:47	ga_s2am_ard_3-2-1_49KFS_2023-05-02_nrt.stac-item
2023-05-27 09:45:04	ga_s2am_ard_3-2-1_55JFH_2023-05-27_final.stac-item
2023-05-30 09:54:38	ga_s2am_ard_3-2-1_55JDK_2023-05-30_final.stac-item
2023-06-11 10:33:06	ga_s2am_ard_3-2-1_54KTB_2023-06-11_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