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
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HPK_2016-04-19_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_50JQL_2016-05-26_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KLU_2016-06-24_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51KVB_2016-08-17_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HPK_2016-10-26_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_51KVS_2016-11-05_final.stac-item
2017-03-12 11:27:30	ga_s2am_ard_3-2-1_51KVT_2017-03-12_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50KQG_2017-04-27_final.stac-item
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51KTT_2017-05-04_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_50KKB_2017-06-02_final
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HPH_2017-07-23_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JVH_2017-09-15_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_51KUB_2017-09-21_final.stac-item
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HUE_2017-11-14_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JLM_2017-12-16_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVT_2018-02-15_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50HNK_2018-04-22_final
2018-05-02 11:47:56	ga_s2am_ard_3-2-1_50KQG_2018-05-02_final.stac-item
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KXQ_2018-05-16_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGK_2018-05-25_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_51KUR_2018-07-18_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KXQ_2018-07-25_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HMG_2018-11-05_final.stac-item
2018-11-12 11:32:56	ga_s2am_ard_3-2-1_51KVU_2018-11-12_final
2019-01-01 11:32:23	ga_s2am_ard_3-2-1_51KWA_2019-01-01_final
2019-01-11 11:33:43	ga_s2am_ard_3-2-1_51KUR_2019-01-11_final
2019-01-31 11:33:19	ga_s2am_ard_3-2-1_51KUT_2019-01-31_final
2019-02-27 11:26:36	ga_s2am_ard_3-2-1_51HXD_2019-02-27_final
2019-03-15 11:43:08	ga_s2am_ard_3-2-1_51KVT_2019-03-15_final
2019-04-07 11:52:39	ga_s2am_ard_3-2-1_50KPF_2019-04-07_final.stac-item
2019-05-14 11:43:00	ga_s2am_ard_3-2-1_51KVU_2019-05-14_final
2019-05-28 11:26:47	ga_s2am_ard_3-2-1_51HVD_2019-05-28_final
2019-07-10 11:33:09	ga_s2am_ard_3-2-1_51KWT_2019-07-10_final
2019-07-17 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2019-07-17_final
2019-07-30 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2019-07-30_final
2019-08-15 11:56:11	ga_s2am_ard_3-2-1_50JMM_2019-08-15_final
2019-09-28 11:32:34	ga_s2am_ard_3-2-1_51KWA_2019-09-28_final
2019-10-04 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-10-04_final.stac-item
2019-10-28 11:33:19	ga_s2am_ard_3-2-1_51KVT_2019-10-28_final
2019-10-31 11:43:03	ga_s2am_ard_3-2-1_51KUU_2019-10-31_final
2019-11-20 11:43:38	ga_s2am_ard_3-2-1_51KUR_2019-11-20_final
2020-01-10 11:14:32	ga_s2am_ard_3-2-1_51JZM_2020-01-10_final
2020-01-15 12:03:53	ga_s2am_ard_3-2-1_50KKA_2020-01-15_final
2020-01-16 11:33:42	ga_s2am_ard_3-2-1_51KUR_2020-01-16_final
2020-02-14 12:03:34	ga_s2am_ard_3-2-1_50KLB_2020-02-14_final
2020-04-04 12:03:23	ga_s2am_ard_3-2-1_50KLC_2020-04-04_final
2020-04-18 11:47:02	ga_s2am_ard_3-2-1_50HPH_2020-04-18_final
2020-05-04 12:04:46	ga_s2am_ard_3-2-1_50JKT_2020-05-04_final
2020-05-14 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-05-14_final
2020-05-18 11:42:47	ga_s2am_ard_3-2-1_51KVV_2020-05-18_final
2020-08-06 11:45:20	ga_s2am_ard_3-2-1_51JTK_2020-08-06_final
2020-10-15 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-10-15_final
2020-10-19 11:26:41	ga_s2am_ard_3-2-1_51HXD_2020-10-19_final
2020-10-25 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-10-25_final
2020-11-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-11-10_final
2020-11-18 11:27:05	ga_s2am_ard_3-2-1_51HUC_2020-11-18_final
2020-12-07 11:53:19	ga_s2am_ard_3-2-1_50KPC_2020-12-07_final
2021-01-27 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2021-01-27_final
2021-02-12 11:44:36	ga_s2am_ard_3-2-1_50JPT_2021-02-12_final
2021-02-19 11:32:14	ga_s2am_ard_3-2-1_51KWB_2021-02-19_final
2021-05-30 11:32:47	ga_s2am_ard_3-2-1_51KVV_2021-05-30_final
2021-06-02 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-06-02_final
2021-06-16 11:26:33	ga_s2am_ard_3-2-1_51HUE_2021-06-16_final
2021-06-26 11:25:40	ga_s2am_ard_3-2-1_51JXH_2021-06-26_final
2021-07-22 11:47:06	ga_s2am_ard_3-2-1_50HPH_2021-07-22_final
2021-07-28 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-07-28_final
2021-08-28 11:32:45	ga_s2am_ard_3-2-1_51KWV_2021-08-28_final
2021-09-20 11:43:21	ga_s2am_ard_3-2-1_50KRC_2021-09-20_final
2021-10-20 11:43:17	ga_s2am_ard_3-2-1_51KVT_2021-10-20_final
2022-01-25 11:33:48	ga_s2am_ard_3-2-1_51KUR_2022-01-25_final
2022-02-14 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2022-02-14_final
2022-02-17 11:42:17	ga_s2am_ard_3-2-1_51KUB_2022-02-17_final.stac-item
2022-02-24 11:32:22	ga_s2am_ard_3-2-1_51KVB_2022-02-24_final
2022-03-16 11:33:26	ga_s2am_ard_3-2-1_51KUT_2022-03-16_final
2022-05-17 12:14:13	ga_s2am_ard_3-2-1_50KKV_2022-05-17_final
2022-07-11 11:27:11	ga_s2am_ard_3-2-1_51HVC_2022-07-11_final
2022-09-18 11:53:30	ga_s2am_ard_3-2-1_50KPC_2022-09-18_final.stac-item
2022-09-28 11:56:29	ga_s2am_ard_3-2-1_50JML_2022-09-28_final.stac-item
2022-10-05 11:43:04	ga_s2am_ard_3-2-1_51KVU_2022-10-05_final.stac-item
2022-10-29 11:26:00	ga_s2am_ard_3-2-1_51JWG_2022-10-29_final.stac-item
2022-11-15 11:16:29	ga_s2am_ard_3-2-1_51HXE_2022-11-15_final.stac-item
2023-02-02 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-02-02_final.stac-item
2023-02-28 12:04:58	ga_s2am_ard_3-2-1_49JGM_2023-02-28_final.stac-item
2023-04-02 12:14:30	ga_s2am_ard_3-2-1_49KFP_2023-04-02_nrt.stac-item
2023-04-09 12:04:33	ga_s2am_ard_3-2-1_50KLU_2023-04-09_final.stac-item
2023-04-19 12:06:09	ga_s2am_ard_3-2-1_50JKM_2023-04-19_final.stac-item
2023-05-27 11:24:18	ga_s2am_ard_3-2-1_51KWP_2023-05-27_final.stac-item
2023-05-30 11:32:18	ga_s2am_ard_3-2-1_51KWB_2023-05-30_final.stac-item
2023-06-15 11:52:38	ga_s2am_ard_3-2-1_50KQF_2023-06-15_final.stac-item
2023-08-18 11:37:09	ga_s2am_ard_3-2-1_50HQH_2023-08-18_final.stac-item
2023-09-17 11:34:03	ga_s2am_ard_3-2-1_51KVQ_2023-09-17_final.stac-item
2023-09-27 11:37:23	ga_s2am_ard_3-2-1_50HPG_2023-09-27_final.stac-item
2024-01-01 11:52:21	ga_s2am_ard_3-2-1_50KQG_2024-01-01_final.stac-item
2024-01-15 11:33:27	ga_s2am_ard_3-2-1_51KUS_2024-01-15_final.stac-item
2024-01-28 11:42:58	ga_s2am_ard_3-2-1_51KTU_2024-01-28_final.stac-item
2024-01-28 11:43:38	ga_s2am_ard_3-2-1_51KUR_2024-01-28_final.stac-item
2024-03-08 11:45:33	ga_s2am_ard_3-2-1_50JQP_2024-03-08_final.stac-item
2024-03-11 11:54:01	ga_s2am_ard_3-2-1_50KQV_2024-03-11_final.stac-item
2024-03-15 11:34:25	ga_s2am_ard_3-2-1_51JWN_2024-03-15_final.stac-item
2024-05-07 11:42:16	ga_s2am_ard_3-2-1_51KVB_2024-05-07_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