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
2015-09-19 11:36:06	ga_s2am_ard_3-2-1_51JUF_2015-09-19_final.stac-item
2015-09-29 11:36:06	ga_s2am_ard_3-2-1_50HQK_2015-09-29_final.stac-item
2015-10-05 11:56:28	ga_s2am_ard_3-2-1_50HMK_2015-10-05_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMK_2015-11-14_final.stac-item
2015-11-18 11:36:00	ga_s2am_ard_3-2-1_51JTF_2015-11-18_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HQK_2015-11-21_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_51JTH_2015-11-21_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JMR_2015-11-27_final.stac-item
2015-11-28 11:36:02	ga_s2am_ard_3-2-1_51JUF_2015-11-28_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHS_2016-01-16_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_51JTG_2016-01-17_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50KPV_2016-01-20_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JLT_2016-02-02_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51JTM_2016-02-06_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLQ_2016-03-03_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KLC_2016-03-16_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KKU_2016-04-15_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_51JTF_2016-04-16_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JNM_2016-04-19_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_49JHN_2016-04-25_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHQ_2016-05-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JMT_2016-05-22_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JWM_2016-05-23_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JHM_2016-09-02_final.stac-item
2016-09-30 11:26:04	ga_s2am_ard_3-2-1_51JUF_2016-09-30_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HMJ_2017-01-07_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50KNC_2017-01-20_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLH_2017-02-26_final
2017-05-28 11:26:12	ga_s2am_ard_3-2-1_51JWF_2017-05-28_final
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_50JQL_2017-09-18_final
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_51JTG_2017-09-18_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMH_2017-12-10_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HMJ_2018-02-21_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_51JTH_2018-07-28_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51HVE_2018-09-10_final
2019-01-18 11:26:07	ga_s2am_ard_3-2-1_51JWF_2019-01-18_final
2019-01-28 11:26:22	ga_s2am_ard_3-2-1_51HVE_2019-01-28_final
2019-02-13 11:47:03	ga_s2am_ard_3-2-1_50HMH_2019-02-13_final
2019-02-20 11:36:06	ga_s2am_ard_3-2-1_51JVF_2019-02-20_final
2019-04-01 11:36:14	ga_s2am_ard_3-2-1_51JUF_2019-04-01_final
2019-06-06 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-06-06_final.stac-item
2019-09-28 11:36:11	ga_s2am_ard_3-2-1_51JVF_2019-09-28_final
2019-10-15 11:26:14	ga_s2am_ard_3-2-1_51JWF_2019-10-15_final
2019-10-18 11:36:31	ga_s2am_ard_3-2-1_51HUE_2019-10-18_final
2019-11-17 11:36:12	ga_s2am_ard_3-2-1_51JVF_2019-11-17_final
2020-02-02 11:26:21	ga_s2am_ard_3-2-1_51HVE_2020-02-02_final
2020-02-08 11:47:06	ga_s2am_ard_3-2-1_50HLH_2020-02-08_final
2020-02-28 11:47:05	ga_s2am_ard_3-2-1_50HMH_2020-02-28_final
2020-04-01 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-04-01_final
2020-04-04 12:04:55	ga_s2am_ard_3-2-1_50JMR_2020-04-04_final
2020-09-22 11:36:15	ga_s2am_ard_3-2-1_51JVF_2020-09-22_final
2020-09-29 11:26:20	ga_s2am_ard_3-2-1_51JVF_2020-09-29_final
2020-10-09 11:26:26	ga_s2am_ard_3-2-1_51HVE_2020-10-09_final
2020-10-11 12:05:04	ga_s2am_ard_3-2-1_50JMR_2020-10-11_final
2020-10-11 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-11_final
2020-11-27 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2020-11-27_final
2020-12-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2020-12-27_final
2021-01-23 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-23_final
2021-02-16 11:27:06	ga_s2am_ard_3-2-1_51HTC_2021-02-16_final
2021-04-09 12:05:51	ga_s2am_ard_3-2-1_50JKN_2021-04-09_final
2021-09-06 12:04:49	ga_s2am_ard_3-2-1_50JMS_2021-09-06_final
2021-09-06 12:04:54	ga_s2am_ard_3-2-1_50JLS_2021-09-06_final
2021-09-06 12:04:58	ga_s2am_ard_3-2-1_50JKS_2021-09-06_final
2021-09-16 12:06:06	ga_s2am_ard_3-2-1_50JLM_2021-09-16_final
2021-09-17 11:36:33	ga_s2am_ard_3-2-1_51HTE_2021-09-17_final
2021-09-17 11:36:48	ga_s2am_ard_3-2-1_51HTD_2021-09-17_final
2021-09-20 11:46:36	ga_s2am_ard_3-2-1_50HPK_2021-09-20_final
2021-09-30 11:45:48	ga_s2am_ard_3-2-1_51JTH_2021-09-30_final
2021-10-03 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-10-03_final
2021-10-17 11:36:29	ga_s2am_ard_3-2-1_51HVE_2021-10-17_final
2021-12-19 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-12-19_final
2022-01-21 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-21_final
2022-01-28 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-01-28_final
2022-02-17 11:47:15	ga_s2am_ard_3-2-1_50HLH_2022-02-17_final
2022-04-05 11:35:46	ga_s2am_ard_3-2-1_51JUH_2022-04-05_final
2022-06-17 11:47:04	ga_s2am_ard_3-2-1_50HQH_2022-06-17_final
2022-09-08 11:56:15	ga_s2am_ard_3-2-1_50JNM_2022-09-08_final.stac-item
2022-09-11 12:04:59	ga_s2am_ard_3-2-1_50JMS_2022-09-11_final.stac-item
2022-09-11 12:05:22	ga_s2am_ard_3-2-1_50JKR_2022-09-11_final.stac-item
2022-09-11 12:05:33	ga_s2am_ard_3-2-1_50JLQ_2022-09-11_final.stac-item
2022-09-21 12:05:59	ga_s2am_ard_3-2-1_50JLN_2022-09-21_final.stac-item
2022-09-24 12:14:14	ga_s2am_ard_3-2-1_50KKV_2022-09-24_final.stac-item
2022-09-25 11:45:36	ga_s2am_ard_3-2-1_51JTJ_2022-09-25_final.stac-item
2022-10-09 11:26:35	ga_s2am_ard_3-2-1_51HVE_2022-10-09_final.stac-item
2022-10-15 11:46:12	ga_s2am_ard_3-2-1_51JTF_2022-10-15_final.stac-item
2023-02-02 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-02-02_final.stac-item
2023-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2023-02-12_final.stac-item
2023-04-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2023-04-06_final.stac-item
2023-04-09 12:04:58	ga_s2am_ard_3-2-1_50JMR_2023-04-09_final.stac-item
2023-04-09 12:05:38	ga_s2am_ard_3-2-1_50JLP_2023-04-09_final.stac-item
2023-06-16 11:26:30	ga_s2am_ard_3-2-1_51HWE_2023-06-16_final.stac-item
2023-06-19 11:36:22	ga_s2am_ard_3-2-1_51JUF_2023-06-19_final.stac-item
2023-09-04 11:26:27	ga_s2am_ard_3-2-1_51HXE_2023-09-04_final.stac-item
2023-09-04 11:26:41	ga_s2am_ard_3-2-1_51HXD_2023-09-04_final.stac-item
2023-09-07 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2023-09-07_final.stac-item
2023-09-10 11:45:34	ga_s2am_ard_3-2-1_51JTJ_2023-09-10_final.stac-item
2023-09-10 11:46:02	ga_s2am_ard_3-2-1_51JTG_2023-09-10_final.stac-item
2023-09-17 11:36:17	ga_s2am_ard_3-2-1_51JUF_2023-09-17_final.stac-item
2023-09-30 11:46:09	ga_s2am_ard_3-2-1_51JTF_2023-09-30_final.stac-item
2023-10-13 11:56:02	ga_s2am_ard_3-2-1_50JNM_2023-10-13_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

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