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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HUE_2015-11-25_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KXU_2016-01-24_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JXH_2016-03-24_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_50KKB_2016-06-07_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HVC_2016-09-20_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51KYS_2016-09-20_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPH_2016-10-03_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KXS_2016-12-09_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLT_2016-12-11_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KVA_2016-12-25_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JUF_2017-01-18_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KUR_2017-01-24_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-22_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_51JTJ_2017-03-25_final
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_50JMS_2017-04-10_final.stac-item
2017-05-11 11:28:39	ga_s2am_ard_3-2-1_51KWP_2017-05-11_final
2017-08-09 11:36:05	ga_s2am_ard_3-2-1_50JQL_2017-08-09_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2017-09-27_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_51JTJ_2018-02-15_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51HXD_2018-03-11_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JGN_2018-04-15_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KVQ_2018-05-26_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JLL_2018-06-11_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50HMJ_2018-07-21_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HMH_2018-08-07_final
2018-11-11 12:06:05	ga_s2am_ard_3-2-1_50JKM_2018-11-11_final
2018-11-19 11:25:03	ga_s2am_ard_3-2-1_51JXK_2018-11-19_final
2018-12-12 11:36:40	ga_s2am_ard_3-2-1_50HQJ_2018-12-12_final
2019-01-14 11:43:17	ga_s2am_ard_3-2-1_50KQC_2019-01-14_final
2019-01-15 11:16:26	ga_s2am_ard_3-2-1_51HWE_2019-01-15_final
2019-01-24 11:46:34	ga_s2am_ard_3-2-1_50HNK_2019-01-24_final
2019-01-28 11:23:59	ga_s2am_ard_3-2-1_51KWQ_2019-01-28_final
2019-01-28 11:24:05	ga_s2am_ard_3-2-1_51KYP_2019-01-28_final
2019-02-10 11:32:16	ga_s2am_ard_3-2-1_51KVB_2019-02-10_final
2019-02-20 11:34:07	ga_s2am_ard_3-2-1_51KWP_2019-02-20_final
2019-03-01 12:05:24	ga_s2am_ard_3-2-1_49JGK_2019-03-01_final
2019-04-10 12:03:35	ga_s2am_ard_3-2-1_50KNB_2019-04-10_final
2019-04-20 12:03:18	ga_s2am_ard_3-2-1_50KNC_2019-04-20_final
2019-10-11 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2019-10-11_final
2019-11-27 11:34:25	ga_s2am_ard_3-2-1_51JWN_2019-11-27_final
2020-01-02 11:56:35	ga_s2am_ard_3-2-1_50HLK_2020-01-02_final
2020-01-13 11:24:17	ga_s2am_ard_3-2-1_51JYN_2020-01-13_final
2020-01-22 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2020-01-22_final
2020-02-21 11:53:19	ga_s2am_ard_3-2-1_50KNC_2020-02-21_final
2020-03-23 11:26:11	ga_s2am_ard_3-2-1_51JVF_2020-03-23_final
2020-04-05 11:36:43	ga_s2am_ard_3-2-1_51HTD_2020-04-05_final
2020-05-08 11:43:15	ga_s2am_ard_3-2-1_51KVT_2020-05-08_final
2020-05-12 11:23:33	ga_s2am_ard_3-2-1_51KXS_2020-05-12_final
2020-06-14 11:33:48	ga_s2am_ard_3-2-1_51KWR_2020-06-14_final
2020-06-17 11:43:31	ga_s2am_ard_3-2-1_51KVS_2020-06-17_final
2020-07-24 11:33:18	ga_s2am_ard_3-2-1_51KWT_2020-07-24_final
2020-07-27 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2020-07-27_final
2020-08-13 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-08-13_final
2020-09-02 11:35:55	ga_s2am_ard_3-2-1_50JQN_2020-09-02_final
2020-09-02 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2020-09-02_final
2020-09-28 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-09-28_final
2020-10-05 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-10-05_final
2020-11-14 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-11-14_final
2020-11-20 12:05:32	ga_s2am_ard_3-2-1_49JGK_2020-11-20_final
2020-12-03 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-12-03_final
2020-12-14 11:43:26	ga_s2am_ard_3-2-1_51KUS_2020-12-14_final
2021-01-04 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-01-04_final
2021-01-14 11:16:09	ga_s2am_ard_3-2-1_51JYF_2021-01-14_final
2021-03-18 11:22:55	ga_s2am_ard_3-2-1_51KYU_2021-03-18_final
2021-04-07 11:26:42	ga_s2am_ard_3-2-1_51HVD_2021-04-07_final
2021-05-29 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-05-29_final
2021-06-08 12:04:22	ga_s2am_ard_3-2-1_50KMU_2021-06-08_final
2021-06-13 11:16:37	ga_s2am_ard_3-2-1_51HYD_2021-06-13_final
2021-08-18 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2021-08-18_final
2021-08-31 11:46:20	ga_s2am_ard_3-2-1_50JPL_2021-08-31_final
2021-09-29 12:15:24	ga_s2am_ard_3-2-1_49JGK_2021-09-29_final
2021-10-19 12:13:59	ga_s2am_ard_3-2-1_50KKA_2021-10-19_final
2021-11-23 11:26:40	ga_s2am_ard_3-2-1_51HWD_2021-11-23_final
2021-11-26 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-11-26_final
2022-01-15 11:32:55	ga_s2am_ard_3-2-1_51KXU_2022-01-15_final
2022-01-25 11:36:43	ga_s2am_ard_3-2-1_51HUD_2022-01-25_final
2022-02-11 11:26:04	ga_s2am_ard_3-2-1_51JUG_2022-02-11_final
2022-03-23 11:24:15	ga_s2am_ard_3-2-1_51KXP_2022-03-23_final
2022-03-28 12:14:01	ga_s2am_ard_3-2-1_49KGR_2022-03-28_final
2022-05-12 11:25:28	ga_s2am_ard_3-2-1_51JXJ_2022-05-12_final
2022-05-22 11:24:36	ga_s2am_ard_3-2-1_51JWN_2022-05-22_final
2022-05-31 11:54:34	ga_s2am_ard_3-2-1_50KMU_2022-05-31_final
2022-07-28 11:15:05	ga_s2am_ard_3-2-1_51JYL_2022-07-28_final
2022-07-30 11:54:14	ga_s2am_ard_3-2-1_50KPV_2022-07-30_final
2022-08-03 11:33:12	ga_s2am_ard_3-2-1_51KVU_2022-08-03_final
2022-08-03 11:36:28	ga_s2am_ard_3-2-1_51JTF_2022-08-03_final
2022-09-02 11:34:41	ga_s2am_ard_3-2-1_51JVN_2022-09-02_final.stac-item
2022-09-09 11:26:51	ga_s2am_ard_3-2-1_51HWD_2022-09-09_final.stac-item
2022-09-29 11:24:22	ga_s2am_ard_3-2-1_51KWP_2022-09-29_final.stac-item
2022-11-11 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2022-11-11_final.stac-item
2022-11-21 11:33:31	ga_s2am_ard_3-2-1_51KVS_2022-11-21_final.stac-item
2023-03-30 12:04:51	ga_s2am_ard_3-2-1_50JLS_2023-03-30_final.stac-item
2023-05-09 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2023-05-09_final.stac-item
2023-05-14 11:15:54	ga_s2am_ard_3-2-1_51JYG_2023-05-14_final.stac-item
2023-09-10 11:46:46	ga_s2am_ard_3-2-1_50HMK_2023-09-10_final.stac-item
2023-10-31 11:16:36	ga_s2am_ard_3-2-1_51HYD_2023-10-31_final.stac-item
2024-01-25 11:33:07	ga_s2am_ard_3-2-1_51KWT_2024-01-25_final.stac-item
2024-03-09 11:16:41	ga_s2am_ard_3-2-1_51HXD_2024-03-09_final.stac-item
2024-03-12 11:24:55	ga_s2am_ard_3-2-1_51JXL_2024-03-12_final.stac-item
2024-03-15 11:35:48	ga_s2am_ard_3-2-1_51JTH_2024-03-15_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