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
2016-04-14 10:51:39	ga_s2am_ard_3-2-1_52JFN_2016-04-14_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKN_2016-09-12_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HUE_2016-09-13_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51KUV_2016-10-16_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HQH_2016-11-12_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HNK_2017-05-04_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52KBV_2017-06-14_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HNG_2017-07-10_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JKN_2017-08-25_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_51HUD_2017-09-28_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVS_2018-02-15_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51HUD_2018-03-14_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_50KRD_2018-03-30_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KWS_2018-07-25_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51KUT_2018-08-14_final
2018-12-22 11:33:37	ga_s2am_ard_3-2-1_51KVR_2018-12-22_final
2019-01-01 11:33:28	ga_s2am_ard_3-2-1_51KUS_2019-01-01_final
2019-01-14 11:43:25	ga_s2am_ard_3-2-1_51KUS_2019-01-14_final
2019-02-20 11:32:58	ga_s2am_ard_3-2-1_51KVU_2019-02-20_final
2019-02-23 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-02-23_final
2019-03-19 11:23:07	ga_s2am_ard_3-2-1_51KYT_2019-03-19_final
2019-04-08 11:23:15	ga_s2am_ard_3-2-1_51KXT_2019-04-08_final
2019-08-02 11:43:34	ga_s2am_ard_3-2-1_51KUS_2019-08-02_final
2019-08-29 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2019-08-29_final
2019-09-11 11:41:31	ga_s2am_ard_3-2-1_51LUE_2019-09-11_final
2019-10-11 11:42:45	ga_s2am_ard_3-2-1_51KVV_2019-10-11_final
2019-10-18 11:33:05	ga_s2am_ard_3-2-1_51KYT_2019-10-18_final
2019-11-27 11:33:22	ga_s2am_ard_3-2-1_51KUT_2019-11-27_final
2019-12-24 11:23:33	ga_s2am_ard_3-2-1_51KYR_2019-12-24_final
2020-01-19 11:43:30	ga_s2am_ard_3-2-1_51KVR_2020-01-19_final
2020-03-06 11:33:18	ga_s2am_ard_3-2-1_51KUT_2020-03-06_final
2020-04-22 11:23:11	ga_s2am_ard_3-2-1_51KYT_2020-04-22_final
2020-05-02 11:23:38	ga_s2am_ard_3-2-1_52KBA_2020-05-02_final
2020-05-05 11:32:58	ga_s2am_ard_3-2-1_51KXU_2020-05-05_final
2020-05-25 11:33:15	ga_s2am_ard_3-2-1_51KXT_2020-05-25_final
2020-06-28 11:13:45	ga_s2am_ard_3-2-1_51KZR_2020-06-28_final
2020-07-11 11:24:06	ga_s2am_ard_3-2-1_51KXQ_2020-07-11_final
2020-07-14 11:33:49	ga_s2am_ard_3-2-1_51KVR_2020-07-14_final
2020-08-30 11:23:15	ga_s2am_ard_3-2-1_51KYT_2020-08-30_final
2020-09-15 11:43:33	ga_s2am_ard_3-2-1_51KUS_2020-09-15_final
2020-11-08 11:23:00	ga_s2am_ard_3-2-1_51KYU_2020-11-08_final
2020-11-21 11:33:47	ga_s2am_ard_3-2-1_51KVR_2020-11-21_final
2020-12-01 11:34:39	ga_s2am_ard_3-2-1_51JWM_2020-12-01_final
2020-12-06 10:45:45	ga_s2am_ard_3-2-1_52JGM_2020-12-06_final
2021-02-08 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-02-08_final
2021-02-21 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-02-21_final
2021-03-31 11:33:42	ga_s2am_ard_3-2-1_51KVR_2021-03-31_final
2021-04-30 11:33:39	ga_s2am_ard_3-2-1_51KWR_2021-04-30_final
2021-05-04 11:13:31	ga_s2am_ard_3-2-1_52KDA_2021-05-04_final
2021-05-07 11:24:25	ga_s2am_ard_3-2-1_51JXN_2021-05-07_final
2021-05-23 11:41:33	ga_s2am_ard_3-2-1_51LUE_2021-05-23_final
2021-05-27 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2021-05-27_final
2021-06-26 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-06-26_final
2021-07-19 11:34:35	ga_s2am_ard_3-2-1_51JUN_2021-07-19_final
2021-08-14 11:52:22	ga_s2am_ard_3-2-1_50KQG_2021-08-14_final.stac-item
2021-09-17 11:33:40	ga_s2am_ard_3-2-1_51KWR_2021-09-17_final
2021-09-24 11:23:13	ga_s2am_ard_3-2-1_51KYT_2021-09-24_final
2021-12-06 11:32:19	ga_s2am_ard_3-2-1_51KVB_2021-12-06_final
2022-01-09 11:13:35	ga_s2am_ard_3-2-1_52KDA_2022-01-09_final
2022-01-11 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2022-01-11_final
2022-02-17 11:43:26	ga_s2am_ard_3-2-1_51KVS_2022-02-17_final
2022-03-23 11:23:38	ga_s2am_ard_3-2-1_51KZR_2022-03-23_final
2022-03-26 11:33:44	ga_s2am_ard_3-2-1_51KWR_2022-03-26_final
2022-03-29 11:44:01	ga_s2am_ard_3-2-1_51KUQ_2022-03-29_final
2022-04-15 11:33:45	ga_s2am_ard_3-2-1_51KWR_2022-04-15_final
2022-06-11 11:22:36	ga_s2am_ard_3-2-1_51KYA_2022-06-11_final
2022-06-14 11:34:21	ga_s2am_ard_3-2-1_51KWP_2022-06-14_final
2022-07-14 11:33:52	ga_s2am_ard_3-2-1_51KXR_2022-07-14_final
2022-07-18 11:13:45	ga_s2am_ard_3-2-1_52KDA_2022-07-18_final
2022-08-17 11:13:46	ga_s2am_ard_3-2-1_52KDA_2022-08-17_final
2022-09-15 11:43:13	ga_s2am_ard_3-2-1_51KTU_2022-09-15_final.stac-item
2022-09-25 11:42:20	ga_s2am_ard_3-2-1_51KVB_2022-09-25_final.stac-item
2022-10-22 11:33:15	ga_s2am_ard_3-2-1_51KWT_2022-10-22_final.stac-item
2022-12-27 11:55:58	ga_s2am_ard_3-2-1_50JKN_2022-12-27_final.stac-item
2022-12-31 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2022-12-31_final.stac-item
2023-01-23 11:43:07	ga_s2am_ard_3-2-1_51KVT_2023-01-23_final.stac-item
2023-02-02 11:43:23	ga_s2am_ard_3-2-1_51KVS_2023-02-02_final.stac-item
2023-04-07 11:23:20	ga_s2am_ard_3-2-1_52KBB_2023-04-07_final.stac-item
2023-04-24 11:13:54	ga_s2am_ard_3-2-1_52KBV_2023-04-24_final.stac-item
2023-06-06 11:22:56	ga_s2am_ard_3-2-1_51KZU_2023-06-06_final.stac-item
2023-06-06 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-06-06_final.stac-item
2023-06-13 11:13:37	ga_s2am_ard_3-2-1_52KDA_2023-06-13_final.stac-item
2023-06-13 11:13:43	ga_s2am_ard_3-2-1_52KBA_2023-06-13_final.stac-item
2023-07-19 11:33:46	ga_s2am_ard_3-2-1_51KWR_2023-07-19_final.stac-item
2023-07-22 11:43:07	ga_s2am_ard_3-2-1_51KTU_2023-07-22_final.stac-item
2023-08-05 11:24:48	ga_s2am_ard_3-2-1_52JBR_2023-08-05_final.stac-item
2023-08-21 11:43:09	ga_s2am_ard_3-2-1_51KTU_2023-08-21_final.stac-item
2023-09-06 12:03:49	ga_s2am_ard_3-2-1_50KKB_2023-09-06_final.stac-item
2023-10-07 11:32:55	ga_s2am_ard_3-2-1_51KXU_2023-10-07_final.stac-item
2023-10-11 11:16:57	ga_s2am_ard_3-2-1_51HWC_2023-10-11_final.stac-item
2023-11-06 11:36:26	ga_s2am_ard_3-2-1_50JPL_2023-11-06_final.stac-item
2023-11-23 11:23:02	ga_s2am_ard_3-2-1_52KBC_2023-11-23_final.stac-item
2023-11-26 11:32:14	ga_s2am_ard_3-2-1_51KVB_2023-11-26_final.stac-item
2023-12-13 11:23:02	ga_s2am_ard_3-2-1_51KZT_2023-12-13_final.stac-item
2023-12-23 11:23:03	ga_s2am_ard_3-2-1_51KZT_2023-12-23_final.stac-item
2024-01-23 10:55:35	ga_s2am_ard_3-2-1_52JGM_2024-01-23_final.stac-item
2024-02-10 11:52:16	ga_s2am_ard_3-2-1_50KQG_2024-02-10_final.stac-item
2024-02-14 11:32:51	ga_s2am_ard_3-2-1_51KWU_2024-02-14_final.stac-item
2024-03-18 11:42:57	ga_s2am_ard_3-2-1_51KVU_2024-03-18_final.stac-item
2024-03-23 10:55:43	ga_s2am_ard_3-2-1_52JGM_2024-03-23_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