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_50JQL_2015-09-29_final.stac-item
2015-09-29 11:36:06	ga_s2am_ard_3-2-1_51JTG_2015-09-29_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_51JTF_2015-11-21_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JML_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JNM_2015-12-04_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JML_2015-12-21_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51HVE_2015-12-25_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HPK_2016-01-07_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHQ_2016-01-16_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JML_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50KQC_2016-01-20_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KLU_2016-02-02_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JTL_2016-02-06_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLP_2016-03-03_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KQV_2016-03-20_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KNA_2016-04-02_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JUG_2016-04-06_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JWM_2016-04-23_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNL_2016-04-29_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51HWC_2016-04-30_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KKA_2016-05-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KKB_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JTJ_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JTL_2016-05-16_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNQ_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50KRC_2016-05-29_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JKR_2016-09-02_final.stac-item
2016-09-10 11:26:07	ga_s2am_ard_3-2-1_51JWF_2016-09-10_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51JVF_2016-10-10_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_51HUE_2016-10-13_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_51JUG_2016-10-13_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_50KKB_2016-11-14_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLH_2016-11-18_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLJ_2016-12-08_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMH_2016-12-25_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HMJ_2017-04-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JVF_2017-11-07_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLH_2017-12-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HMH_2018-03-03_final
2018-11-15 11:47:04	ga_s2am_ard_3-2-1_50HMH_2018-11-15_final
2019-01-07 11:57:01	ga_s2am_ard_3-2-1_50HMH_2019-01-07_final
2019-01-21 11:36:04	ga_s2am_ard_3-2-1_51JVF_2019-01-21_final
2019-04-07 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-04-07_final
2019-04-08 11:26:16	ga_s2am_ard_3-2-1_51JVF_2019-04-08_final
2019-04-10 12:05:57	ga_s2am_ard_3-2-1_50JKN_2019-04-10_final
2019-04-17 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-04-17_final.stac-item
2019-05-13 12:13:43	ga_s2am_ard_3-2-1_50KKB_2019-05-13_final
2019-09-28 11:36:25	ga_s2am_ard_3-2-1_51HVE_2019-09-28_final
2019-10-11 11:46:10	ga_s2am_ard_3-2-1_51JTF_2019-10-11_final
2019-10-15 11:26:18	ga_s2am_ard_3-2-1_51JVF_2019-10-15_final
2019-10-24 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-10-24_final
2019-11-13 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-11-13_final
2019-12-03 11:57:08	ga_s2am_ard_3-2-1_50HLH_2019-12-03_final
2020-02-01 11:56:41	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final
2020-02-15 11:36:17	ga_s2am_ard_3-2-1_51HVE_2020-02-15_final
2020-04-05 11:36:10	ga_s2am_ard_3-2-1_51JUF_2020-04-05_final
2020-04-15 11:36:10	ga_s2am_ard_3-2-1_51JVF_2020-04-15_final
2020-09-02 11:36:15	ga_s2am_ard_3-2-1_51JVF_2020-09-02_final
2020-10-25 11:47:19	ga_s2am_ard_3-2-1_50HLH_2020-10-25_final
2020-11-04 11:46:12	ga_s2am_ard_3-2-1_51JTF_2020-11-04_final
2020-11-11 11:36:27	ga_s2am_ard_3-2-1_51HVE_2020-11-11_final
2020-12-04 11:47:08	ga_s2am_ard_3-2-1_50HMH_2020-12-04_final
2021-01-26 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-26_final
2021-02-05 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-05_final
2021-02-18 12:05:28	ga_s2am_ard_3-2-1_49JGK_2021-02-18_final
2021-02-25 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-25_final
2021-04-06 11:55:52	ga_s2am_ard_3-2-1_50JLN_2021-04-06_final
2021-05-10 11:36:42	ga_s2am_ard_3-2-1_51HUD_2021-05-10_final
2021-09-07 11:35:41	ga_s2am_ard_3-2-1_51JVH_2021-09-07_final
2021-09-16 12:05:53	ga_s2am_ard_3-2-1_50JLN_2021-09-16_final
2021-09-27 11:35:45	ga_s2am_ard_3-2-1_51JVH_2021-09-27_final
2021-10-07 11:36:28	ga_s2am_ard_3-2-1_51HVE_2021-10-07_final
2021-12-22 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-12-22_final
2022-01-08 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-01-08_final
2022-02-01 11:26:11	ga_s2am_ard_3-2-1_51JWF_2022-02-01_final
2022-02-04 11:36:10	ga_s2am_ard_3-2-1_51JVF_2022-02-04_final
2022-02-10 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-02-10_final
2022-03-06 11:36:37	ga_s2am_ard_3-2-1_51HVD_2022-03-06_final
2022-03-15 12:05:59	ga_s2am_ard_3-2-1_50JKN_2022-03-15_final
2022-04-01 11:56:39	ga_s2am_ard_3-2-1_50HMK_2022-04-01_final
2022-06-11 11:26:35	ga_s2am_ard_3-2-1_51HWE_2022-06-11_final
2022-09-02 11:36:35	ga_s2am_ard_3-2-1_51HVE_2022-09-02_final.stac-item
2022-09-09 11:26:37	ga_s2am_ard_3-2-1_51HWE_2022-09-09_final.stac-item
2022-09-15 11:45:53	ga_s2am_ard_3-2-1_51JTH_2022-09-15_final.stac-item
2022-09-24 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-09-24_final.stac-item
2022-09-28 11:56:58	ga_s2am_ard_3-2-1_50HMJ_2022-09-28_final.stac-item
2022-09-29 11:26:29	ga_s2am_ard_3-2-1_51HXE_2022-09-29_final.stac-item
2022-09-29 11:26:45	ga_s2am_ard_3-2-1_51HWD_2022-09-29_final.stac-item
2023-04-06 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-04-06_final.stac-item
2023-04-06 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-06_final.stac-item
2023-06-01 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-01_final.stac-item
2023-09-04 11:26:13	ga_s2am_ard_3-2-1_51JXF_2023-09-04_final.stac-item
2023-09-07 11:36:08	ga_s2am_ard_3-2-1_51JTG_2023-09-07_final.stac-item
2023-09-07 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-09-07_final.stac-item
2023-09-14 11:26:33	ga_s2am_ard_3-2-1_51HVE_2023-09-14_final.stac-item
2023-09-20 11:46:17	ga_s2am_ard_3-2-1_50JQL_2023-09-20_final.stac-item
2023-10-03 11:55:57	ga_s2am_ard_3-2-1_50JMN_2023-10-03_final.stac-item
2023-10-13 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-10-13_final.stac-item
2023-10-27 11:36:10	ga_s2am_ard_3-2-1_51JVF_2023-10-27_final.stac-item
2024-02-10 11:57:02	ga_s2am_ard_3-2-1_50HMH_2024-02-10_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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