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
2015-11-18 11:36:00	ga_s2am_ard_3-2-1_51HUE_2015-11-18_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMK_2015-12-21_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_50KMV_2015-12-27_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50JRS_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JTM_2016-03-07_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JMS_2016-04-02_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGL_2016-05-05_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JNN_2016-05-09_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51HWC_2016-05-23_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50KQD_2016-06-11_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51HVE_2016-10-03_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_50KKA_2016-10-12_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_50KLV_2016-10-12_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_50JQM_2016-10-13_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HQG_2016-10-23_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMJ_2016-11-18_final.stac-item
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-04-13_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50KQD_2017-05-17_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51HXC_2017-06-27_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50KQD_2017-08-25_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JHM_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JLQ_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KLU_2017-10-07_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HWC_2017-12-11_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KMV_2017-12-26_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_50JLS_2017-12-26_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKQ_2017-12-26_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMH_2017-12-30_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLH_2018-01-12_final
2018-02-05 11:35:59	ga_s2am_ard_3-2-1_51JUF_2018-02-05_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HLH_2018-03-20_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50JPM_2018-04-29_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HPG_2018-05-19_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLG_2018-05-22_final.stac-item
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51JUF_2018-05-23_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKP_2018-05-25_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50JPS_2018-05-29_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JNR_2018-05-29_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JPS_2018-05-29_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51HWC_2018-06-09_final.stac-item
2018-06-22 11:26:00	ga_s2am_ard_3-2-1_51HWC_2018-06-22_final.stac-item
2018-06-24 12:02:49	ga_s2am_ard_3-2-1_50KLB_2018-06-24_final.stac-item
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HPG_2018-06-25_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-07-04_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JPT_2018-07-08_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50KPV_2018-07-08_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50KLU_2018-07-11_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50KPV_2018-08-17_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JPS_2018-08-20_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KLA_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KLB_2018-08-23_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JNQ_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JPM_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JPR_2018-08-27_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50JNN_2018-08-27_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50KMC_2018-09-19_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50KLU_2018-09-29_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_50KKA_2018-10-05_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JPT_2018-10-06_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMJ_2018-10-09_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-22_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51HUE_2018-10-23_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNR_2018-10-26_final
2018-11-12 11:36:21	ga_s2am_ard_3-2-1_50JPL_2018-11-12_final
2018-11-25 11:47:09	ga_s2am_ard_3-2-1_50HPG_2018-11-25_final.stac-item
2018-12-21 12:04:13	ga_s2am_ard_3-2-1_50KMU_2018-12-21_final
2018-12-25 11:47:20	ga_s2am_ard_3-2-1_50HLG_2018-12-25_final.stac-item
2019-01-03 12:13:49	ga_s2am_ard_3-2-1_49KHR_2019-01-03_final
2019-01-03 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2019-01-03_final
2019-01-04 11:46:46	ga_s2am_ard_3-2-1_50HMJ_2019-01-04_final
2019-01-08 11:26:10	ga_s2am_ard_3-2-1_51JVF_2019-01-08_final
2019-01-08 11:26:27	ga_s2am_ard_3-2-1_51HUE_2019-01-08_final
2019-04-10 12:05:42	ga_s2am_ard_3-2-1_50JKP_2019-04-10_final
2019-12-23 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2019-12-23_final
2020-02-08 11:47:06	ga_s2am_ard_3-2-1_50HLH_2020-02-08_final
2020-02-28 11:42:59	ga_s2am_ard_3-2-1_50KRD_2020-02-28_final
2020-04-25 11:37:19	ga_s2am_ard_3-2-1_50HQG_2020-04-25_final.stac-item
2020-05-08 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-05-08_final
2020-06-03 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-06-03_final
2020-06-13 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-06-13_final
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2020-12-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2020-12-27_final
2021-01-30 11:36:34	ga_s2am_ard_3-2-1_51HVD_2021-01-30_final
2021-04-06 11:56:53	ga_s2am_ard_3-2-1_50HMH_2021-04-06_final
2021-04-29 12:04:19	ga_s2am_ard_3-2-1_50KMU_2021-04-29_final
2021-04-29 12:04:37	ga_s2am_ard_3-2-1_50JLT_2021-04-29_final
2021-04-29 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-04-29_final
2021-04-29 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2021-04-29_final
2021-05-26 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-05-26_final.stac-item
2021-06-18 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-06-18_final
2021-06-29 11:37:23	ga_s2am_ard_3-2-1_50HPG_2021-06-29_final.stac-item
2021-07-02 11:47:30	ga_s2am_ard_3-2-1_50HLG_2021-07-02_final.stac-item
2021-07-31 12:13:43	ga_s2am_ard_3-2-1_49KHS_2021-07-31_final.stac-item
2021-08-17 12:03:47	ga_s2am_ard_3-2-1_50KKB_2021-08-17_final
2022-01-11 11:57:07	ga_s2am_ard_3-2-1_50HMH_2022-01-11_final
2022-01-31 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-01-31_final
2022-05-31 11:53:50	ga_s2am_ard_3-2-1_50KMB_2022-05-31_final
2023-04-07 11:26:29	ga_s2am_ard_3-2-1_51HVE_2023-04-07_final.stac-item
2023-09-07 11:37:03	ga_s2am_ard_3-2-1_51HUC_2023-09-07_final.stac-item
2023-10-27 11:36:10	ga_s2am_ard_3-2-1_51JVF_2023-10-27_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