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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JGM_2015-09-11_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51KVR_2016-04-06_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHR_2016-05-15_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HVE_2016-09-20_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JXM_2016-10-30_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49JGL_2016-11-24_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNH_2016-12-05_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KUS_2017-01-14_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51JZM_2017-01-25_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KTT_2017-02-03_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGJ_2017-05-30_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_51KUV_2017-09-21_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HNG_2017-12-10_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HUD_2018-03-04_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_51JYN_2018-04-20_final
2018-04-20 11:15:50	ga_s2am_ard_3-2-1_51HWC_2018-04-20_final.stac-item
2018-08-01 11:23:55	ga_s2am_ard_3-2-1_51KWQ_2018-08-01_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-09-06_final
2018-09-17 11:13:02	ga_s2am_ard_3-2-1_51HXD_2018-09-17_final
2018-12-12 11:36:29	ga_s2am_ard_3-2-1_50HPK_2018-12-12_final
2019-01-14 11:44:47	ga_s2am_ard_3-2-1_51JUL_2019-01-14_final
2019-01-17 11:52:16	ga_s2am_ard_3-2-1_50KQG_2019-01-17_final.stac-item
2019-04-21 11:33:33	ga_s2am_ard_3-2-1_51KVS_2019-04-21_final
2019-05-04 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2019-05-04_final
2019-05-11 11:33:34	ga_s2am_ard_3-2-1_51KVS_2019-05-11_final
2019-06-06 11:53:13	ga_s2am_ard_3-2-1_50KRC_2019-06-06_final
2019-06-10 11:33:33	ga_s2am_ard_3-2-1_51KVS_2019-06-10_final
2019-07-20 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2019-07-20_final
2019-10-20 12:14:02	ga_s2am_ard_3-2-1_49KHR_2019-10-20_final
2020-02-25 11:33:37	ga_s2am_ard_3-2-1_51KWR_2020-02-25_final
2020-02-28 11:43:10	ga_s2am_ard_3-2-1_51KUT_2020-02-28_final
2020-04-25 11:37:19	ga_s2am_ard_3-2-1_50HQG_2020-04-25_final.stac-item
2020-05-01 11:53:06	ga_s2am_ard_3-2-1_50KQD_2020-05-01_final.stac-item
2020-05-05 11:37:06	ga_s2am_ard_3-2-1_50HQH_2020-05-05_final
2020-06-04 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-06-04_final
2020-06-14 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-06-14_final
2020-07-23 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-07-23_final
2020-07-24 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-07-24_final
2020-08-23 11:33:36	ga_s2am_ard_3-2-1_51KVS_2020-08-23_final
2020-09-08 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-09-08_final
2020-09-12 11:34:19	ga_s2am_ard_3-2-1_51JXN_2020-09-12_final
2020-09-15 11:43:04	ga_s2am_ard_3-2-1_51KUU_2020-09-15_final
2020-09-22 11:34:20	ga_s2am_ard_3-2-1_51JXN_2020-09-22_final
2020-10-08 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-10-08_final
2020-10-22 11:32:25	ga_s2am_ard_3-2-1_51KVB_2020-10-22_final
2021-01-16 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-01-16_final
2021-01-20 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-01-20_final
2021-03-23 12:13:53	ga_s2am_ard_3-2-1_50KKA_2021-03-23_final
2021-04-09 12:03:40	ga_s2am_ard_3-2-1_50KKB_2021-04-09_final
2021-04-23 11:43:07	ga_s2am_ard_3-2-1_51KVT_2021-04-23_final
2021-04-23 11:46:29	ga_s2am_ard_3-2-1_50HPK_2021-04-23_final
2021-04-24 11:16:33	ga_s2am_ard_3-2-1_51HYD_2021-04-24_final
2021-08-21 11:42:38	ga_s2am_ard_3-2-1_51KVA_2021-08-21_final
2021-08-27 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-08-27_final
2021-09-27 11:34:14	ga_s2am_ard_3-2-1_51KWP_2021-09-27_final
2021-11-29 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-11-29_final
2021-12-09 11:42:59	ga_s2am_ard_3-2-1_51KUU_2021-12-09_final
2021-12-12 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-12-12_final
2021-12-29 11:43:13	ga_s2am_ard_3-2-1_51KVT_2021-12-29_final
2021-12-29 11:43:26	ga_s2am_ard_3-2-1_51KVS_2021-12-29_final
2022-01-08 11:43:19	ga_s2am_ard_3-2-1_51KTT_2022-01-08_final
2022-02-04 11:33:30	ga_s2am_ard_3-2-1_51KVS_2022-02-04_final
2022-03-15 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-15_final
2022-03-30 11:14:40	ga_s2am_ard_3-2-1_51JZM_2022-03-30_final
2022-04-21 11:53:15	ga_s2am_ard_3-2-1_50KRC_2022-04-21_final
2022-05-18 11:43:23	ga_s2am_ard_3-2-1_51KTT_2022-05-18_final
2022-06-20 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-06-20_final
2022-07-28 11:14:51	ga_s2am_ard_3-2-1_51JYM_2022-07-28_final
2022-08-03 11:32:39	ga_s2am_ard_3-2-1_51KWA_2022-08-03_final
2022-08-06 11:43:22	ga_s2am_ard_3-2-1_51KVT_2022-08-06_final
2022-08-09 11:57:03	ga_s2am_ard_3-2-1_50HMJ_2022-08-09_final
2022-09-02 11:35:53	ga_s2am_ard_3-2-1_51JVH_2022-09-02_final.stac-item
2022-09-04 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-09-04_final.stac-item
2022-09-08 11:52:31	ga_s2am_ard_3-2-1_50KQG_2022-09-08_final.stac-item
2022-10-05 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-10-05_final.stac-item
2022-10-18 11:53:24	ga_s2am_ard_3-2-1_50KPC_2022-10-18_final.stac-item
2022-10-25 11:43:14	ga_s2am_ard_3-2-1_51KVT_2022-10-25_final.stac-item
2022-11-14 11:47:27	ga_s2am_ard_3-2-1_50HMG_2022-11-14_final.stac-item
2022-12-07 11:57:21	ga_s2am_ard_3-2-1_50HMG_2022-12-07_final.stac-item
2022-12-10 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-12-10_final.stac-item
2023-01-03 11:46:18	ga_s2am_ard_3-2-1_50JPL_2023-01-03_final.stac-item
2023-01-10 11:33:29	ga_s2am_ard_3-2-1_51KVS_2023-01-10_final.stac-item
2023-03-11 11:33:37	ga_s2am_ard_3-2-1_51KWR_2023-03-11_final.stac-item
2023-03-14 11:42:24	ga_s2am_ard_3-2-1_51KVA_2023-03-14_final.stac-item
2023-07-05 11:55:47	ga_s2am_ard_3-2-1_50JLP_2023-07-05_final.stac-item
2023-07-18 12:06:08	ga_s2am_ard_3-2-1_50JLM_2023-07-18_final.stac-item
2023-08-08 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2023-08-08_final.stac-item
2023-09-10 11:44:34	ga_s2am_ard_3-2-1_50JRT_2023-09-10_final.stac-item
2023-10-13 11:52:17	ga_s2am_ard_3-2-1_50KQG_2023-10-13_final.stac-item
2023-11-12 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-12_final.stac-item
2023-12-12 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-12-12_final.stac-item
2023-12-26 11:33:19	ga_s2am_ard_3-2-1_51KUT_2023-12-26_final.stac-item
2024-01-08 11:43:05	ga_s2am_ard_3-2-1_51KVT_2024-01-08_final.stac-item
2024-01-08 11:43:20	ga_s2am_ard_3-2-1_51KVS_2024-01-08_final.stac-item
2024-02-03 12:05:37	ga_s2am_ard_3-2-1_50JKP_2024-02-03_final.stac-item
2024-02-03 12:05:51	ga_s2am_ard_3-2-1_50JKN_2024-02-03_final.stac-item
2024-02-14 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2024-02-14_final.stac-item
2024-02-17 11:43:09	ga_s2am_ard_3-2-1_51KVT_2024-02-17_final.stac-item
2024-04-07 11:43:14	ga_s2am_ard_3-2-1_50KQC_2024-04-07_final.stac-item
2024-04-17 11:42:34	ga_s2am_ard_3-2-1_51KVA_2024-04-17_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