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
2015-09-29 11:36:06	ga_s2am_ard_3-2-1_51HVE_2015-09-29_final.stac-item
2016-01-14 11:26:24	ga_s2am_ard_3-2-1_51JVF_2016-01-14_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNQ_2016-03-20_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHS_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMJ_2016-04-19_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51JXF_2016-04-30_final.stac-item
2016-06-05 11:26:25	ga_s2am_ard_3-2-1_51KWB_2016-06-05_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HQK_2016-07-28_final.stac-item
2016-11-09 11:26:07	ga_s2am_ard_3-2-1_51HXE_2016-11-09_final.stac-item
2016-12-02 11:36:01	ga_s2am_ard_3-2-1_51HVE_2016-12-02_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HLH_2016-12-15_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHS_2016-12-31_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KVU_2017-01-01_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KUV_2017-01-14_final
2017-02-07 11:26:03	ga_s2am_ard_3-2-1_51JVF_2017-02-07_final
2017-11-24 11:26:05	ga_s2am_ard_3-2-1_51HUE_2017-11-24_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMH_2017-12-23_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51KWQ_2017-12-24_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMH_2018-01-19_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51JXN_2018-03-07_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JNR_2018-05-19_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50KLU_2018-05-22_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HQG_2018-05-26_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KWT_2018-05-26_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMG_2018-05-29_final.stac-item
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHS_2018-06-14_final.stac-item
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_51HWC_2018-06-29_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JPS_2018-07-08_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50KQD_2018-07-21_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50JPL_2018-08-04_final
2018-08-30 11:48:24	ga_s2am_ard_3-2-1_50KQD_2018-08-30_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HQG_2018-09-03_final.stac-item
2018-09-20 11:24:00	ga_s2am_ard_3-2-1_51JUF_2018-09-20_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HLG_2018-09-29_final.stac-item
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JLT_2018-09-29_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-10-05_final
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51JWF_2018-10-10_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-10-16_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51HUE_2018-10-20_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51JVF_2018-10-20_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50JPL_2018-10-23_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51JXN_2018-10-23_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMJ_2018-10-29_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KTU_2018-11-05_final
2018-11-08 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2018-11-08_final
2018-11-22 11:32:54	ga_s2am_ard_3-2-1_51KVU_2018-11-22_final
2018-11-28 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-11-28_final
2018-12-21 12:03:15	ga_s2am_ard_3-2-1_50KMC_2018-12-21_final
2018-12-25 11:43:17	ga_s2am_ard_3-2-1_51KVS_2018-12-25_final
2019-01-03 12:13:48	ga_s2am_ard_3-2-1_50KKA_2019-01-03_final
2019-01-03 12:14:13	ga_s2am_ard_3-2-1_50KKU_2019-01-03_final
2019-01-03 12:14:15	ga_s2am_ard_3-2-1_49KHP_2019-01-03_final
2019-01-04 11:44:47	ga_s2am_ard_3-2-1_50JPS_2019-01-04_final
2019-01-27 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-01-27_final
2019-04-04 11:42:17	ga_s2am_ard_3-2-1_51KUB_2019-04-04_final.stac-item
2019-04-27 11:53:06	ga_s2am_ard_3-2-1_50KQD_2019-04-27_final.stac-item
2019-07-20 11:37:31	ga_s2am_ard_3-2-1_50HNG_2019-07-20_final.stac-item
2019-07-30 11:33:08	ga_s2am_ard_3-2-1_51KWT_2019-07-30_final
2019-08-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-08-08_final.stac-item
2019-10-08 11:36:26	ga_s2am_ard_3-2-1_51HVE_2019-10-08_final
2019-10-31 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-31_final.stac-item
2019-12-27 11:33:36	ga_s2am_ard_3-2-1_51KWR_2019-12-27_final
2019-12-30 11:47:04	ga_s2am_ard_3-2-1_50HMH_2019-12-30_final
2020-01-16 11:33:16	ga_s2am_ard_3-2-1_51KUT_2020-01-16_final
2020-02-01 11:56:39	ga_s2am_ard_3-2-1_50HMJ_2020-02-01_final
2020-03-22 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-03-22_final.stac-item
2020-04-05 11:36:07	ga_s2am_ard_3-2-1_51JVF_2020-04-05_final
2020-04-21 11:56:15	ga_s2am_ard_3-2-1_50JKM_2020-04-21_final
2020-04-28 11:47:19	ga_s2am_ard_3-2-1_50HPG_2020-04-28_final.stac-item
2020-05-25 11:33:10	ga_s2am_ard_3-2-1_51KWU_2020-05-25_final
2020-07-17 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-07-17_final
2020-11-04 11:42:21	ga_s2am_ard_3-2-1_51KUB_2020-11-04_final.stac-item
2020-12-21 11:33:11	ga_s2am_ard_3-2-1_51KWT_2020-12-21_final
2021-01-03 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-01-03_final.stac-item
2021-01-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-01-06_final
2021-01-10 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2021-01-10_final
2021-03-31 11:36:21	ga_s2am_ard_3-2-1_51HVE_2021-03-31_final
2021-04-02 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2021-04-02_final
2021-04-29 12:03:20	ga_s2am_ard_3-2-1_50KMC_2021-04-29_final
2021-04-29 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-04-29_final
2021-05-04 11:16:06	ga_s2am_ard_3-2-1_51JYF_2021-05-04_final
2021-06-18 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-06-18_final
2021-06-29 11:34:17	ga_s2am_ard_3-2-1_51JXN_2021-06-29_final
2021-08-17 12:03:58	ga_s2am_ard_3-2-1_50KLA_2021-08-17_final
2021-08-21 11:43:06	ga_s2am_ard_3-2-1_50KRD_2021-08-21_final
2021-08-21 11:44:40	ga_s2am_ard_3-2-1_50JPT_2021-08-21_final
2021-08-21 11:44:55	ga_s2am_ard_3-2-1_50JPS_2021-08-21_final
2021-09-17 11:36:30	ga_s2am_ard_3-2-1_51HUE_2021-09-17_final
2021-09-27 11:34:19	ga_s2am_ard_3-2-1_51JXN_2021-09-27_final
2021-10-07 11:36:15	ga_s2am_ard_3-2-1_51JVF_2021-10-07_final
2022-07-17 11:42:29	ga_s2am_ard_3-2-1_51KUB_2022-07-17_final.stac-item
2022-07-26 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-07-26_final.stac-item
2022-09-05 11:46:31	ga_s2am_ard_3-2-1_50JPL_2022-09-05_final.stac-item
2022-09-19 11:26:43	ga_s2am_ard_3-2-1_51HXD_2022-09-19_final.stac-item
2022-09-22 11:36:55	ga_s2am_ard_3-2-1_50HQJ_2022-09-22_final.stac-item
2022-09-24 12:13:47	ga_s2am_ard_3-2-1_49KHS_2022-09-24_final.stac-item
2023-01-03 11:44:12	ga_s2am_ard_3-2-1_51KUP_2023-01-03_final.stac-item
2023-03-31 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-03-31_final.stac-item
2023-10-09 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-10-09_final.stac-item
2023-11-26 11:37:11	ga_s2am_ard_3-2-1_50HQG_2023-11-26_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