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
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KXB_2016-03-07_final.stac-item
2016-05-05 12:03:52	ga_s2am_ard_3-2-1_50KLA_2016-05-05_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KMB_2016-06-04_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQM_2016-06-05_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLM_2016-07-21_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51KUS_2016-09-26_final.stac-item
2016-10-15 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-10-15_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KPC_2016-12-08_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50JQP_2016-12-12_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KYA_2017-01-01_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KXT_2017-01-18_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JGK_2017-01-30_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2017-02-09_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KTT_2017-02-13_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HPK_2017-08-12_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JUL_2017-09-08_final
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50JMM_2017-09-24_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HUC_2017-12-04_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JXK_2018-01-13_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51JYM_2018-02-02_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JNR_2018-04-22_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JPT_2018-04-22_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HTD_2018-05-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KWU_2018-05-26_final
2018-07-12 11:25:39	ga_s2am_ard_3-2-1_51HUD_2018-07-12_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQK_2018-08-14_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HLH_2018-08-27_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HNJ_2018-09-26_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JNQ_2018-09-26_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JWN_2018-09-30_final
2018-11-26 11:16:29	ga_s2am_ard_3-2-1_51HYD_2018-11-26_final
2019-02-10 11:34:34	ga_s2am_ard_3-2-1_50JRT_2019-02-10_final
2019-04-04 11:46:31	ga_s2am_ard_3-2-1_50HQK_2019-04-04_final
2019-04-05 11:16:38	ga_s2am_ard_3-2-1_51HYD_2019-04-05_final
2019-04-14 11:45:56	ga_s2am_ard_3-2-1_50JNN_2019-04-14_final
2019-05-11 11:37:07	ga_s2am_ard_3-2-1_50HQH_2019-05-11_final
2019-05-30 12:04:16	ga_s2am_ard_3-2-1_50KKV_2019-05-30_final
2019-06-07 11:26:28	ga_s2am_ard_3-2-1_51HWE_2019-06-07_final
2019-06-10 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-06-10_final
2019-06-27 11:25:50	ga_s2am_ard_3-2-1_51JVH_2019-06-27_final
2019-08-12 11:43:08	ga_s2am_ard_3-2-1_51KTU_2019-08-12_final
2019-09-08 11:34:13	ga_s2am_ard_3-2-1_51KVP_2019-09-08_final
2019-10-05 11:26:49	ga_s2am_ard_3-2-1_51HUD_2019-10-05_final
2019-12-24 11:25:22	ga_s2am_ard_3-2-1_51JWJ_2019-12-24_final
2020-02-05 11:32:03	ga_s2am_ard_3-2-1_51KXB_2020-02-05_final
2020-03-03 11:26:57	ga_s2am_ard_3-2-1_51HUC_2020-03-03_final
2020-05-21 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-05-21_final
2020-05-31 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-05-31_final
2020-07-17 11:45:37	ga_s2am_ard_3-2-1_50JQP_2020-07-17_final
2020-08-06 11:42:19	ga_s2am_ard_3-2-1_51KVB_2020-08-06_final
2020-08-09 11:55:48	ga_s2am_ard_3-2-1_50JLP_2020-08-09_final
2020-08-09 11:55:55	ga_s2am_ard_3-2-1_50JNN_2020-08-09_final
2021-01-07 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-01-07_final
2021-01-20 11:35:31	ga_s2am_ard_3-2-1_51JUJ_2021-01-20_final
2021-02-12 11:43:35	ga_s2am_ard_3-2-1_50KQB_2021-02-12_final
2021-03-01 11:36:28	ga_s2am_ard_3-2-1_51HUE_2021-03-01_final
2021-03-01 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-03-01_final
2021-04-07 11:26:54	ga_s2am_ard_3-2-1_51HVC_2021-04-07_final
2021-04-30 11:35:57	ga_s2am_ard_3-2-1_51JUG_2021-04-30_final
2021-05-07 11:24:21	ga_s2am_ard_3-2-1_51JYN_2021-05-07_final
2021-05-23 11:45:18	ga_s2am_ard_3-2-1_50JQQ_2021-05-23_final
2021-05-23 11:45:44	ga_s2am_ard_3-2-1_51JTH_2021-05-23_final
2021-06-02 11:43:33	ga_s2am_ard_3-2-1_51KTS_2021-06-02_final
2021-06-02 11:46:06	ga_s2am_ard_3-2-1_50JPM_2021-06-02_final
2021-06-22 11:46:01	ga_s2am_ard_3-2-1_50JQM_2021-06-22_final
2021-07-02 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2021-07-02_final
2021-07-02 11:47:08	ga_s2am_ard_3-2-1_50HNH_2021-07-02_final
2021-08-24 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-08-24_final
2021-10-27 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2021-10-27_final
2022-02-04 11:32:14	ga_s2am_ard_3-2-1_51KWB_2022-02-04_final
2022-02-04 11:33:01	ga_s2am_ard_3-2-1_51KVU_2022-02-04_final
2022-03-23 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2022-03-23_final
2022-03-30 11:15:56	ga_s2am_ard_3-2-1_51JYG_2022-03-30_final
2022-04-02 11:25:15	ga_s2am_ard_3-2-1_51JWK_2022-04-02_final
2022-04-02 11:25:47	ga_s2am_ard_3-2-1_51JXH_2022-04-02_final
2022-05-25 11:36:31	ga_s2am_ard_3-2-1_51HVE_2022-05-25_final
2022-06-24 11:34:15	ga_s2am_ard_3-2-1_51KUQ_2022-06-24_final
2022-06-27 11:47:27	ga_s2am_ard_3-2-1_50HLH_2022-06-27_final
2022-07-01 11:25:47	ga_s2am_ard_3-2-1_51JYH_2022-07-01_final
2022-07-17 11:47:00	ga_s2am_ard_3-2-1_50HPJ_2022-07-17_final
2022-08-09 11:56:26	ga_s2am_ard_3-2-1_50JKM_2022-08-09_final
2022-08-10 11:26:48	ga_s2am_ard_3-2-1_51HXD_2022-08-10_final
2022-08-16 11:47:15	ga_s2am_ard_3-2-1_50HPH_2022-08-16_final
2022-10-02 11:36:59	ga_s2am_ard_3-2-1_50HPJ_2022-10-02_final.stac-item
2022-11-11 11:36:03	ga_s2am_ard_3-2-1_51JUG_2022-11-11_final.stac-item
2022-11-28 11:22:12	ga_s2am_ard_3-2-1_51KYB_2022-11-28_final.stac-item
2023-01-14 12:50:58	ga_s2am_ard_3-2-1_48LWP_2023-01-14_final.stac-item
2023-03-24 11:46:03	ga_s2am_ard_3-2-1_50JPM_2023-03-24_final.stac-item
2023-04-03 11:45:17	ga_s2am_ard_3-2-1_50JQQ_2023-04-03_final.stac-item
2023-04-13 11:44:16	ga_s2am_ard_3-2-1_50KRU_2023-04-13_final.stac-item
2023-07-25 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-07-25_final.stac-item
2023-09-10 11:47:11	ga_s2am_ard_3-2-1_50HNH_2023-09-10_final.stac-item
2023-09-24 11:24:25	ga_s2am_ard_3-2-1_51JYN_2023-09-24_final.stac-item
2023-10-10 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-10-10_final.stac-item
2023-11-12 11:56:17	ga_s2am_ard_3-2-1_50JNL_2023-11-12_final.stac-item
2024-03-05 11:34:25	ga_s2am_ard_3-2-1_51JWN_2024-03-05_final.stac-item
2024-03-12 11:26:29	ga_s2am_ard_3-2-1_51HVE_2024-03-12_final.stac-item
2024-03-15 11:35:18	ga_s2am_ard_3-2-1_51JTK_2024-03-15_final.stac-item
2024-03-18 11:45:22	ga_s2am_ard_3-2-1_50JPQ_2024-03-18_final.stac-item
2024-04-24 11:36:34	ga_s2am_ard_3-2-1_51HTE_2024-04-24_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