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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HNK_2015-11-14_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HPK_2015-11-21_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50JQL_2015-11-21_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JLR_2015-11-27_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JMR_2015-11-27_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JMS_2015-11-27_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HNK_2015-12-21_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JUG_2015-12-25_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HMH_2016-01-03_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KGQ_2016-01-16_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_51JTF_2016-01-17_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JTF_2016-02-06_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KKU_2016-03-16_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50KQU_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JWL_2016-04-23_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50KQA_2016-05-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HNG_2016-06-05_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JHN_2016-09-02_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JLS_2016-09-02_final.stac-item
2016-09-10 11:26:07	ga_s2am_ard_3-2-1_51HWE_2016-09-10_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HVE_2016-09-20_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51JUF_2016-10-10_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMJ_2016-11-15_final.stac-item
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_51JUF_2017-03-02_final
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_51HVE_2017-04-01_final
2017-05-23 12:13:46	ga_s2am_ard_3-2-1_49KGR_2017-05-23_final
2017-09-30 12:13:18	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final
2017-11-17 11:36:01	ga_s2am_ard_3-2-1_51HTE_2017-11-17_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_50KKB_2017-11-19_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMH_2017-12-30_final
2018-01-16 11:35:56	ga_s2am_ard_3-2-1_51JTF_2018-01-16_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51JVF_2018-04-06_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51JVF_2018-09-10_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPH_2018-09-26_final
2018-11-08 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2018-11-08_final
2019-01-14 11:44:55	ga_s2am_ard_3-2-1_51JTL_2019-01-14_final
2019-01-21 11:36:12	ga_s2am_ard_3-2-1_51JUF_2019-01-21_final
2019-02-06 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-02-06_final
2019-02-10 11:36:07	ga_s2am_ard_3-2-1_51JVF_2019-02-10_final
2019-02-26 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-02-26_final
2019-04-10 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-04-10_final.stac-item
2019-06-09 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-06-09_final
2019-10-05 11:26:17	ga_s2am_ard_3-2-1_51JVF_2019-10-05_final
2019-10-14 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-10-14_final
2019-10-14 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-10-14_final
2019-10-28 11:36:13	ga_s2am_ard_3-2-1_51JVF_2019-10-28_final
2019-11-30 11:47:09	ga_s2am_ard_3-2-1_50HMH_2019-11-30_final
2019-12-17 11:36:18	ga_s2am_ard_3-2-1_51HVE_2019-12-17_final
2020-01-29 11:47:07	ga_s2am_ard_3-2-1_50HLH_2020-01-29_final
2020-02-02 11:26:10	ga_s2am_ard_3-2-1_51JUF_2020-02-02_final
2020-02-02 11:26:18	ga_s2am_ard_3-2-1_51HWE_2020-02-02_final
2020-02-11 11:56:47	ga_s2am_ard_3-2-1_50HLJ_2020-02-11_final
2020-04-05 11:35:27	ga_s2am_ard_3-2-1_51JUJ_2020-04-05_final
2020-04-08 11:47:04	ga_s2am_ard_3-2-1_50HNH_2020-04-08_final
2020-09-09 11:26:30	ga_s2am_ard_3-2-1_51HWE_2020-09-09_final
2020-09-29 11:26:35	ga_s2am_ard_3-2-1_51HVE_2020-09-29_final
2020-10-02 11:36:37	ga_s2am_ard_3-2-1_51HTE_2020-10-02_final
2020-10-04 12:14:22	ga_s2am_ard_3-2-1_50KKV_2020-10-04_final
2021-01-17 11:26:15	ga_s2am_ard_3-2-1_51JVF_2021-01-17_final
2021-01-19 12:04:59	ga_s2am_ard_3-2-1_50JMR_2021-01-19_final
2021-04-06 11:57:05	ga_s2am_ard_3-2-1_50HLH_2021-04-06_final
2021-04-07 11:26:07	ga_s2am_ard_3-2-1_51JWF_2021-04-07_final
2021-04-29 12:06:01	ga_s2am_ard_3-2-1_50JLM_2021-04-29_final
2021-04-30 11:35:48	ga_s2am_ard_3-2-1_50JQN_2021-04-30_final
2021-09-14 11:26:27	ga_s2am_ard_3-2-1_51HWE_2021-09-14_final
2021-09-20 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2021-09-20_final
2021-09-24 11:26:29	ga_s2am_ard_3-2-1_51HWE_2021-09-24_final
2021-10-03 11:57:10	ga_s2am_ard_3-2-1_50HMH_2021-10-03_final
2021-10-04 11:26:19	ga_s2am_ard_3-2-1_51JVF_2021-10-04_final
2021-10-14 11:26:17	ga_s2am_ard_3-2-1_51JWF_2021-10-14_final
2021-11-06 11:36:32	ga_s2am_ard_3-2-1_51HUE_2021-11-06_final
2021-12-06 11:36:09	ga_s2am_ard_3-2-1_51JVF_2021-12-06_final
2022-01-11 11:57:10	ga_s2am_ard_3-2-1_50HLH_2022-01-11_final
2022-04-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-04-01_final
2022-04-02 11:26:38	ga_s2am_ard_3-2-1_51HXD_2022-04-02_final
2022-04-05 11:35:28	ga_s2am_ard_3-2-1_51JVJ_2022-04-05_final
2022-04-05 11:35:42	ga_s2am_ard_3-2-1_51JVH_2022-04-05_final
2022-04-08 11:45:44	ga_s2am_ard_3-2-1_51JTH_2022-04-08_final
2022-04-15 11:36:17	ga_s2am_ard_3-2-1_51JUF_2022-04-15_final
2022-06-13 12:05:48	ga_s2am_ard_3-2-1_50JLP_2022-06-13_final
2022-09-15 11:46:25	ga_s2am_ard_3-2-1_50JQL_2022-09-15_final.stac-item
2022-09-25 11:45:50	ga_s2am_ard_3-2-1_51JTH_2022-09-25_final.stac-item
2022-10-05 11:46:14	ga_s2am_ard_3-2-1_51JTF_2022-10-05_final.stac-item
2022-10-09 11:26:21	ga_s2am_ard_3-2-1_51JVF_2022-10-09_final.stac-item
2022-10-09 11:26:41	ga_s2am_ard_3-2-1_51HXD_2022-10-09_final.stac-item
2022-10-28 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-10-28_final.stac-item
2022-11-14 11:47:13	ga_s2am_ard_3-2-1_50HMH_2022-11-14_final.stac-item
2022-12-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2022-12-27_final.stac-item
2023-04-29 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-04-29_final.stac-item
2023-06-16 11:26:15	ga_s2am_ard_3-2-1_51JWF_2023-06-16_final.stac-item
2023-06-19 11:37:05	ga_s2am_ard_3-2-1_51HTC_2023-06-19_final.stac-item
2023-09-07 11:36:25	ga_s2am_ard_3-2-1_50JQL_2023-09-07_final.stac-item
2023-09-07 11:37:08	ga_s2am_ard_3-2-1_50HQH_2023-09-07_final.stac-item
2023-09-17 11:35:59	ga_s2am_ard_3-2-1_51JVG_2023-09-17_final.stac-item
2023-09-20 11:45:31	ga_s2am_ard_3-2-1_51JTJ_2023-09-20_final.stac-item
2023-10-03 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-10-03_final.stac-item
2023-10-14 11:26:13	ga_s2am_ard_3-2-1_51JVF_2023-10-14_final.stac-item
2023-10-24 11:26:11	ga_s2am_ard_3-2-1_51JWF_2023-10-24_final.stac-item
2023-12-22 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-12-22_final.stac-item
2024-01-08 11:47:05	ga_s2am_ard_3-2-1_50HMH_2024-01-08_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