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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMJ_2015-11-21_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_50KKV_2015-12-27_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50JQP_2016-02-06_final.stac-item
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HMK_2016-02-12_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JKN_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLS_2016-03-03_final.stac-item
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_50KKA_2016-03-06_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHS_2016-03-16_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHR_2016-04-15_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HMK_2016-04-29_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHR_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50JQN_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLP_2016-05-22_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JQN_2016-06-18_final.stac-item
2016-09-03 11:36:03	ga_s2am_ard_3-2-1_50JQM_2016-09-03_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_49KHR_2016-10-12_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLG_2016-11-05_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMH_2017-01-14_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMH_2017-01-24_final
2017-04-11 11:36:02	ga_s2am_ard_3-2-1_50JPL_2017-04-11_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50KLB_2017-07-09_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JKR_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KKA_2017-10-07_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JMR_2017-10-17_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HLG_2017-11-20_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JLR_2017-12-26_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50HPK_2018-03-27_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50JNN_2018-05-19_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLP_2018-05-22_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JPS_2018-05-22_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNG_2018-05-29_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLT_2018-06-21_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50KLA_2018-06-24_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JNR_2018-07-08_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMG_2018-07-08_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLT_2018-07-11_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JPS_2018-08-17_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JPT_2018-08-17_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JLT_2018-08-20_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHN_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLT_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KKB_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KLU_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KLV_2018-08-23_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JPN_2018-08-27_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50JPM_2018-08-27_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HNG_2018-09-03_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JNR_2018-09-26_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HMG_2018-09-29_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-05_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JNR_2018-10-06_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKR_2018-10-12_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HPG_2018-10-16_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50JNN_2018-10-16_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HPK_2018-10-23_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNM_2018-10-26_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNQ_2018-10-26_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMK_2018-10-26_final
2018-11-08 11:57:19	ga_s2am_ard_3-2-1_50HLG_2018-11-08_final.stac-item
2018-11-12 11:37:01	ga_s2am_ard_3-2-1_50HPH_2018-11-12_final
2018-11-28 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-11-28_final
2018-12-21 12:04:16	ga_s2am_ard_3-2-1_50KLU_2018-12-21_final
2018-12-25 11:47:09	ga_s2am_ard_3-2-1_50HPG_2018-12-25_final.stac-item
2018-12-28 11:54:26	ga_s2am_ard_3-2-1_50KLU_2018-12-28_final
2019-01-07 11:54:28	ga_s2am_ard_3-2-1_50JPT_2019-01-07_final
2019-01-07 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-01-07_final
2019-01-14 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-01-14_final
2019-02-16 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2019-02-16_final
2019-08-19 11:37:29	ga_s2am_ard_3-2-1_50HNG_2019-08-19_final.stac-item
2019-08-29 11:37:18	ga_s2am_ard_3-2-1_50HQG_2019-08-29_final.stac-item
2019-11-23 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-11-23_final
2019-12-13 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2019-12-13_final
2020-02-18 11:47:08	ga_s2am_ard_3-2-1_50HLH_2020-02-18_final
2020-11-14 11:47:30	ga_s2am_ard_3-2-1_50HLG_2020-11-14_final.stac-item
2021-01-16 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-16_final
2021-03-10 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-03-10_final.stac-item
2021-03-27 11:57:02	ga_s2am_ard_3-2-1_50HMH_2021-03-27_final
2021-04-23 11:46:01	ga_s2am_ard_3-2-1_50JPM_2021-04-23_final
2021-04-29 12:05:05	ga_s2am_ard_3-2-1_50JLR_2021-04-29_final
2021-05-23 11:45:12	ga_s2am_ard_3-2-1_50JNR_2021-05-23_final
2021-06-01 12:14:21	ga_s2am_ard_3-2-1_50KKU_2021-06-01_final
2021-06-02 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-06-02_final
2021-06-18 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-06-18_final
2021-06-18 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-06-18_final
2021-06-18 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2021-06-18_final
2021-06-22 11:44:39	ga_s2am_ard_3-2-1_50JPT_2021-06-22_final
2021-07-05 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-07-05_final
2021-07-22 11:47:20	ga_s2am_ard_3-2-1_50HPG_2021-07-22_final.stac-item
2021-08-17 12:04:13	ga_s2am_ard_3-2-1_50KLV_2021-08-17_final
2021-08-17 12:04:42	ga_s2am_ard_3-2-1_50JLT_2021-08-17_final
2021-08-21 11:45:14	ga_s2am_ard_3-2-1_50JNR_2021-08-21_final
2021-08-21 11:46:28	ga_s2am_ard_3-2-1_50JML_2021-08-21_final
2022-02-13 12:03:44	ga_s2am_ard_3-2-1_49KHS_2022-02-13_final.stac-item
2022-03-28 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-03-28_final
2022-04-15 11:37:20	ga_s2am_ard_3-2-1_50HQG_2022-04-15_final.stac-item
2022-06-06 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-06-06_final.stac-item
2022-09-02 11:37:33	ga_s2am_ard_3-2-1_50HPG_2022-09-02_final.stac-item
2023-01-26 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2023-01-26_final.stac-item
2023-02-02 11:47:16	ga_s2am_ard_3-2-1_50HLH_2023-02-02_final.stac-item
2023-04-20 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-04-20_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