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
2015-08-30 11:36:03	ga_s2am_ard_3-2-1_51JTG_2015-08-30_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HPJ_2016-02-19_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51HTC_2016-04-06_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_50JKT_2016-05-05_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JYH_2016-12-26_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50JRS_2017-01-14_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50KQB_2017-01-24_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_50HQJ_2017-02-10_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JPS_2017-04-27_final
2017-05-11 11:28:39	ga_s2am_ard_3-2-1_51KUT_2017-05-11_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_49JGL_2017-08-08_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50JNM_2017-09-01_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KWP_2017-11-07_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KVV_2017-12-10_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KXB_2018-02-15_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JYG_2018-02-19_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXH_2018-02-22_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JTH_2018-02-25_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_51HYD_2018-03-31_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KVP_2018-06-05_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HMH_2018-09-29_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_50HPH_2018-10-03_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50KMC_2018-10-22_final
2018-11-11 12:03:18	ga_s2am_ard_3-2-1_50KMC_2018-11-11_final
2018-11-15 11:42:36	ga_s2am_ard_3-2-1_51KVV_2018-11-15_final
2018-12-09 11:24:57	ga_s2am_ard_3-2-1_51JYK_2018-12-09_final
2018-12-12 11:36:47	ga_s2am_ard_3-2-1_51HUC_2018-12-12_final
2019-02-09 12:06:07	ga_s2am_ard_3-2-1_50JKM_2019-02-09_final
2019-03-11 12:06:05	ga_s2am_ard_3-2-1_50JKM_2019-03-11_final
2019-03-22 11:32:13	ga_s2am_ard_3-2-1_51KWB_2019-03-22_final
2019-03-25 11:43:31	ga_s2am_ard_3-2-1_51KTS_2019-03-25_final
2019-06-06 11:56:42	ga_s2am_ard_3-2-1_50HLK_2019-06-06_final
2019-06-19 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2019-06-19_final
2019-06-23 11:46:34	ga_s2am_ard_3-2-1_50HQK_2019-06-23_final
2019-08-09 11:35:23	ga_s2am_ard_3-2-1_51JWJ_2019-08-09_final
2019-10-05 11:26:02	ga_s2am_ard_3-2-1_51JVG_2019-10-05_final
2019-10-11 11:43:27	ga_s2am_ard_3-2-1_51KVS_2019-10-11_final
2019-12-03 11:53:19	ga_s2am_ard_3-2-1_50KPC_2019-12-03_final
2019-12-20 11:47:00	ga_s2am_ard_3-2-1_50HNH_2019-12-20_final
2020-01-13 11:25:22	ga_s2am_ard_3-2-1_51JWJ_2020-01-13_final
2020-03-15 12:05:48	ga_s2am_ard_3-2-1_50JLN_2020-03-15_final
2020-05-25 11:34:20	ga_s2am_ard_3-2-1_51KVP_2020-05-25_final
2020-06-03 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-06-03_final
2020-08-07 11:15:48	ga_s2am_ard_3-2-1_51JXH_2020-08-07_final
2020-08-09 11:56:24	ga_s2am_ard_3-2-1_50JNL_2020-08-09_final
2020-08-12 12:04:54	ga_s2am_ard_3-2-1_50JMS_2020-08-12_final
2020-08-23 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-08-23_final
2020-09-11 12:05:33	ga_s2am_ard_3-2-1_49JGK_2020-09-11_final
2020-10-25 11:43:29	ga_s2am_ard_3-2-1_51KTS_2020-10-25_final
2021-01-14 11:15:40	ga_s2am_ard_3-2-1_51JYH_2021-01-14_final
2021-01-23 11:42:43	ga_s2am_ard_3-2-1_51KVV_2021-01-23_final
2021-06-06 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-06-06_final
2021-06-13 11:15:39	ga_s2am_ard_3-2-1_51JYH_2021-06-13_final
2021-07-28 12:05:55	ga_s2am_ard_3-2-1_50JLN_2021-07-28_final
2021-08-07 12:04:24	ga_s2am_ard_3-2-1_50KMU_2021-08-07_final
2021-08-07 12:04:27	ga_s2am_ard_3-2-1_50KLU_2021-08-07_final
2021-08-08 11:36:34	ga_s2am_ard_3-2-1_51HTE_2021-08-08_final
2021-09-27 11:36:23	ga_s2am_ard_3-2-1_50JQL_2021-09-27_final
2021-10-27 11:36:39	ga_s2am_ard_3-2-1_50HQK_2021-10-27_final
2021-11-06 11:34:47	ga_s2am_ard_3-2-1_51JVM_2021-11-06_final
2021-11-19 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-11-19_final
2021-12-26 11:33:00	ga_s2am_ard_3-2-1_51KWU_2021-12-26_final
2022-01-28 11:42:28	ga_s2am_ard_3-2-1_51KVA_2022-01-28_final
2022-02-24 11:36:34	ga_s2am_ard_3-2-1_51HTE_2022-02-24_final
2022-03-03 11:24:15	ga_s2am_ard_3-2-1_51KXP_2022-03-03_final
2022-05-01 11:54:24	ga_s2am_ard_3-2-1_50KPU_2022-05-01_final
2022-05-28 11:44:38	ga_s2am_ard_3-2-1_51JTN_2022-05-28_final
2022-06-01 11:24:05	ga_s2am_ard_3-2-1_51KXQ_2022-06-01_final
2022-06-01 11:24:27	ga_s2am_ard_3-2-1_51JZN_2022-06-01_final
2022-07-10 11:55:22	ga_s2am_ard_3-2-1_50JMR_2022-07-10_final
2022-07-28 11:15:20	ga_s2am_ard_3-2-1_51JYK_2022-07-28_final
2022-08-23 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-08-23_final
2022-09-05 11:46:55	ga_s2am_ard_3-2-1_50HQJ_2022-09-05_final.stac-item
2022-09-05 11:47:00	ga_s2am_ard_3-2-1_50HPJ_2022-09-05_final.stac-item
2022-09-08 11:57:06	ga_s2am_ard_3-2-1_50HLJ_2022-09-08_final.stac-item
2022-10-02 11:36:45	ga_s2am_ard_3-2-1_50HPK_2022-10-02_final.stac-item
2022-10-06 11:15:31	ga_s2am_ard_3-2-1_51JYJ_2022-10-06_final.stac-item
2022-10-22 11:36:30	ga_s2am_ard_3-2-1_51HUE_2022-10-22_final.stac-item
2022-10-25 11:46:40	ga_s2am_ard_3-2-1_50HNK_2022-10-25_final.stac-item
2022-10-26 11:16:14	ga_s2am_ard_3-2-1_51JXF_2022-10-26_final.stac-item
2022-11-14 13:21:47	ga_s2am_ard_3-2-1_47LKG_2022-11-14_interim.stac-item
2022-11-17 11:56:24	ga_s2am_ard_3-2-1_50JML_2022-11-17_final.stac-item
2022-11-28 11:27:01	ga_s2am_ard_3-2-1_51HUC_2022-11-28_final.stac-item
2022-12-07 13:31:40	ga_s2am_ard_3-2-1_46LHM_2022-12-07_interim.stac-item
2023-02-13 11:16:39	ga_s2am_ard_3-2-1_51HYD_2023-02-13_final.stac-item
2023-03-27 11:53:48	ga_s2am_ard_3-2-1_50KNA_2023-03-27_final.stac-item
2023-04-04 11:14:28	ga_s2am_ard_3-2-1_51JYN_2023-04-04_final.stac-item
2023-06-29 11:36:36	ga_s2am_ard_3-2-1_51HTE_2023-06-29_final.stac-item
2023-08-30 12:15:01	ga_s2am_ard_3-2-1_49JGM_2023-08-30_final.stac-item
2023-09-13 11:57:17	ga_s2am_ard_3-2-1_50HKH_2023-09-13_nrt.stac-item
2023-12-10 11:16:03	ga_s2am_ard_3-2-1_51JYF_2023-12-10_final.stac-item
2024-01-09 11:16:36	ga_s2am_ard_3-2-1_51HXD_2024-01-09_final.stac-item
2024-01-25 11:32:37	ga_s2am_ard_3-2-1_51KWV_2024-01-25_final.stac-item
2024-02-08 11:16:34	ga_s2am_ard_3-2-1_51HYD_2024-02-08_final.stac-item
2024-02-24 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2024-02-24_final.stac-item
2024-03-05 11:35:51	ga_s2am_ard_3-2-1_50JQN_2024-03-05_final.stac-item
2024-03-09 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2024-03-09_final.stac-item
2024-03-09 11:15:58	ga_s2am_ard_3-2-1_51JXG_2024-03-09_final.stac-item
2024-03-15 11:34:10	ga_s2am_ard_3-2-1_51KWP_2024-03-15_final.stac-item
2024-05-23 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2024-05-23_nrt.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

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