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
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_52KBC_2017-03-19_final
2017-05-23 10:32:14	ga_s2am_ard_3-2-1_54KTD_2017-05-23_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52KED_2017-08-13_final
2017-08-20 10:57:17	ga_s2am_ard_3-2-1_52LHJ_2017-08-20_final
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55JDH_2017-09-18_final
2017-10-14 10:07:03	ga_s2am_ard_3-2-1_54KYE_2017-10-14_final
2018-01-22 10:11:25	ga_s2am_ard_3-2-1_54JWS_2018-01-22_final
2018-02-08 09:57:03	ga_s2am_ard_3-2-1_55JBL_2018-02-08_final
2018-02-10 10:43:02	ga_s2am_ard_3-2-1_53JMM_2018-02-10_final
2018-03-02 10:37:24	ga_s2am_ard_3-2-1_53JMM_2018-03-02_final
2018-03-19 10:27:04	ga_s2am_ard_3-2-1_53JQN_2018-03-19_final
2018-04-16 09:50:55	ga_s2am_ard_3-2-1_55KER_2018-04-16_final
2018-04-26 09:53:31	ga_s2am_ard_3-2-1_55JEL_2018-04-26_final
2018-04-29 09:57:09	ga_s2am_ard_3-2-1_55KCP_2018-04-29_final
2018-05-18 10:27:10	ga_s2am_ard_3-2-1_54KUD_2018-05-18_final
2018-05-25 10:17:08	ga_s2am_ard_3-2-1_54JVS_2018-05-25_final
2018-05-29 09:57:09	ga_s2am_ard_3-2-1_55KCP_2018-05-29_final
2018-06-04 10:17:06	ga_s2am_ard_3-2-1_54KUU_2018-06-04_final
2018-06-08 09:57:07	ga_s2am_ard_3-2-1_55KCP_2018-06-08_final
2018-06-11 10:07:04	ga_s2am_ard_3-2-1_54KYE_2018-06-11_final
2018-06-21 10:07:04	ga_s2am_ard_3-2-1_54KZF_2018-06-21_final
2018-07-14 10:17:07	ga_s2am_ard_3-2-1_54KWE_2018-07-14_final
2018-07-16 10:57:17	ga_s2am_ard_3-2-1_52JDL_2018-07-16_final
2018-08-27 09:57:06	ga_s2am_ard_3-2-1_55KCP_2018-08-27_final
2018-08-31 09:41:07	ga_s2am_ard_3-2-1_55JGK_2018-08-31_final
2018-09-05 10:27:05	ga_s2am_ard_3-2-1_53KQR_2018-09-05_final
2018-09-07 11:07:10	ga_s2am_ard_3-2-1_52KDE_2018-09-07_final
2018-09-09 10:07:02	ga_s2am_ard_3-2-1_55KBV_2018-09-09_final
2018-09-09 10:07:02	ga_s2am_ard_3-2-1_54HVJ_2018-09-09_final
2018-10-19 10:07:01	ga_s2am_ard_3-2-1_54KZC_2018-10-19_final
2018-10-26 09:57:04	ga_s2am_ard_3-2-1_55JCN_2018-10-26_final
2018-12-25 10:04:14	ga_s2am_ard_3-2-1_55JBL_2018-12-25_final
2019-01-01 09:54:10	ga_s2am_ard_3-2-1_55JEL_2019-01-01_final
2019-01-24 10:05:02	ga_s2am_ard_3-2-1_55JBH_2019-01-24_final
2019-02-20 09:54:31	ga_s2am_ard_3-2-1_55JDK_2019-02-20_final
2019-02-28 10:54:36	ga_s2am_ard_3-2-1_53JKL_2019-02-28_final
2019-04-11 09:56:07	ga_s2am_ard_3-2-1_55HCD_2019-04-11_final
2019-05-28 09:45:36	ga_s2am_ard_3-2-1_55JEF_2019-05-28_final
2019-06-02 10:33:04	ga_s2am_ard_3-2-1_54KTB_2019-06-02_final
2019-06-15 10:45:14	ga_s2am_ard_3-2-1_53JLJ_2019-06-15_final
2019-06-30 09:54:21	ga_s2am_ard_3-2-1_55JEL_2019-06-30_final
2019-07-21 11:01:33	ga_s2am_ard_3-2-1_52LHJ_2019-07-21_final
2019-08-09 09:54:20	ga_s2am_ard_3-2-1_55JEL_2019-08-09_final
2019-08-25 10:13:28	ga_s2am_ard_3-2-1_54KXV_2019-08-25_final
2019-09-04 10:14:57	ga_s2am_ard_3-2-1_54JWP_2019-09-04_final
2019-09-09 11:04:46	ga_s2am_ard_3-2-1_52JER_2019-09-09_final
2019-09-18 09:53:03	ga_s2am_ard_3-2-1_55KER_2019-09-18_final
2019-09-28 09:56:06	ga_s2am_ard_3-2-1_55HCD_2019-09-28_final
2019-10-07 10:23:31	ga_s2am_ard_3-2-1_54KVV_2019-10-07_final
2019-10-15 09:45:36	ga_s2am_ard_3-2-1_55JEF_2019-10-15_final
2019-11-12 10:42:52	ga_s2am_ard_3-2-1_53KPT_2019-11-12_final
2020-03-15 10:24:12	ga_s2am_ard_3-2-1_54JUS_2020-03-15_final
2020-03-22 10:14:35	ga_s2am_ard_3-2-1_54JXQ_2020-03-22_final
2020-05-15 09:55:55	ga_s2am_ard_3-2-1_55HCE_2020-05-15_final
2020-07-03 10:22:47	ga_s2am_ard_3-2-1_54KWC_2020-07-03_final
2020-08-27 11:11:53	ga_s2am_ard_3-2-1_52LEH_2020-08-27_final
2020-08-29 10:14:48	ga_s2am_ard_3-2-1_54JWQ_2020-08-29_final
2020-09-05 10:05:13	ga_s2am_ard_3-2-1_54JYN_2020-09-05_final
2020-10-05 10:04:28	ga_s2am_ard_3-2-1_55JBL_2020-10-05_final
2020-10-11 10:21:46	ga_s2am_ard_3-2-1_54KXG_2020-10-11_final
2020-10-18 10:12:42	ga_s2am_ard_3-2-1_54KZC_2020-10-18_final
2020-10-30 10:55:18	ga_s2am_ard_3-2-1_52JGP_2020-10-30_final
2020-11-14 10:04:26	ga_s2am_ard_3-2-1_55JBL_2020-11-14_final
2021-01-20 09:55:19	ga_s2am_ard_3-2-1_55JDG_2021-01-20_final
2021-03-15 11:15:07	ga_s2am_ard_3-2-1_52JBQ_2021-03-15_final
2021-04-02 10:33:46	ga_s2am_ard_3-2-1_53KQP_2021-04-02_final
2021-04-09 10:22:08	ga_s2am_ard_3-2-1_54KWE_2021-04-09_final
2021-04-20 09:54:11	ga_s2am_ard_3-2-1_55JEL_2021-04-20_final
2021-05-21 11:04:29	ga_s2am_ard_3-2-1_52JFS_2021-05-21_final
2021-06-29 09:55:20	ga_s2am_ard_3-2-1_55JDG_2021-06-29_final
2021-07-22 10:03:38	ga_s2am_ard_3-2-1_55KCP_2021-07-22_final
2021-07-24 10:45:26	ga_s2am_ard_3-2-1_53JMH_2021-07-24_final
2021-08-04 10:12:10	ga_s2am_ard_3-2-1_54KZE_2021-08-04_final
2021-08-08 09:56:25	ga_s2am_ard_3-2-1_55HBC_2021-08-08_final
2021-08-24 10:12:38	ga_s2am_ard_3-2-1_54KZC_2021-08-24_final
2021-09-16 10:21:13	ga_s2am_ard_3-2-1_54LXJ_2021-09-16_final
2021-09-17 09:54:18	ga_s2am_ard_3-2-1_55JEL_2021-09-17_final
2021-10-02 10:42:40	ga_s2am_ard_3-2-1_53KPU_2021-10-02_final
2021-12-21 10:43:06	ga_s2am_ard_3-2-1_53KPS_2021-12-21_final
2022-01-07 10:32:49	ga_s2am_ard_3-2-1_54KTC_2022-01-07_final
2022-01-08 10:05:10	ga_s2am_ard_3-2-1_54JYN_2022-01-08_final
2022-03-13 11:23:10	ga_s2am_ard_3-2-1_52KBC_2022-03-13_final
2022-05-04 10:22:36	ga_s2am_ard_3-2-1_54KVD_2022-05-04_final
2022-05-16 11:01:46	ga_s2am_ard_3-2-1_53LKC_2022-05-16_final
2022-05-22 11:22:00	ga_s2am_ard_3-2-1_52LBH_2022-05-22_final
2022-06-03 10:22:39	ga_s2am_ard_3-2-1_54KVD_2022-06-03_final
2022-07-02 10:53:09	ga_s2am_ard_3-2-1_53KLT_2022-07-02_final
2022-07-11 11:22:17	ga_s2am_ard_3-2-1_52KCG_2022-07-11_final
2022-07-17 10:03:33	ga_s2am_ard_3-2-1_55KCQ_2022-07-17_final
2023-02-13 11:12:18	ga_s2am_ard_3-2-1_52KDF_2023-02-13_final.stac-item
2023-02-27 10:54:27	ga_s2am_ard_3-2-1_52JGS_2023-02-27_final.stac-item
2023-03-07 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2023-03-07_final.stac-item
2023-05-12 10:32:32	ga_s2am_ard_3-2-1_54KTD_2023-05-12_final.stac-item
2023-05-15 10:45:12	ga_s2am_ard_3-2-1_53JLJ_2023-05-15_final.stac-item
2023-05-28 10:54:44	ga_s2am_ard_3-2-1_53JKL_2023-05-28_final.stac-item
2023-05-29 10:24:16	ga_s2am_ard_3-2-1_54JVS_2023-05-29_final.stac-item
2023-10-14 09:45:31	ga_s2am_ard_3-2-1_55JEF_2023-10-14_final.stac-item
2023-10-15 10:52:36	ga_s2am_ard_3-2-1_53KMU_2023-10-15_final.stac-item
2023-10-20 10:04:22	ga_s2am_ard_3-2-1_55JBL_2023-10-20_final.stac-item
2023-11-02 11:55:08	ga_s2am_ard_3-2-1_50JMR_2023-11-02_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