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_51JUF_2015-09-29_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52JFQ_2016-01-15_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52JFR_2016-01-15_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KGP_2016-01-16_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JKN_2016-02-02_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KMC_2016-02-02_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50JQL_2016-02-06_final.stac-item
2016-03-11 11:07:04	ga_s2am_ard_3-2-1_52KCE_2016-03-11_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_52KGU_2016-03-15_final.stac-item
2016-03-18 11:02:07	ga_s2am_ard_3-2-1_52JET_2016-03-18_final.stac-item
2016-03-18 11:02:07	ga_s2am_ard_3-2-1_52KGF_2016-03-18_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNP_2016-03-20_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KYS_2016-03-24_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52KGE_2016-03-28_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51HXE_2016-04-10_final.stac-item
2016-04-10 11:16:26	ga_s2am_ard_3-2-1_51HWC_2016-04-10_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHQ_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JNP_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50KQA_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JVF_2016-04-23_final.stac-item
2016-04-27 10:57:17	ga_s2am_ard_3-2-1_52LGJ_2016-04-27_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52KDV_2016-04-27_final.stac-item
2016-04-29 11:38:09	ga_s2am_ard_3-2-1_51LUF_2016-04-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KQA_2016-04-29_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_51KYV_2016-05-03_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_52JEL_2016-05-04_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HLG_2016-05-09_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51HXE_2016-05-10_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51JXF_2016-05-10_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KUT_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KMU_2016-05-22_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_52LBK_2016-05-23_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51JZN_2016-05-30_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52LGJ_2016-06-06_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KZS_2016-07-02_final.stac-item
2016-09-10 11:26:07	ga_s2am_ard_3-2-1_51HUE_2016-09-10_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_51HVE_2016-10-13_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMJ_2016-11-18_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLH_2017-01-14_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HMH_2017-02-26_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51LXD_2017-05-31_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50KQG_2017-06-06_final.stac-item
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_51HTE_2017-09-18_final
2017-09-19 11:02:07	ga_s2am_ard_3-2-1_52KGF_2017-09-19_final
2017-09-19 11:02:07	ga_s2am_ard_3-2-1_52KHD_2017-09-19_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_51KTS_2017-10-11_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HLH_2018-02-08_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HNG_2018-05-09_final.stac-item
2018-11-18 11:57:03	ga_s2am_ard_3-2-1_50HLH_2018-11-18_final
2019-01-27 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-01-27_final
2019-02-06 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2019-02-06_final
2019-02-26 11:57:01	ga_s2am_ard_3-2-1_50HMH_2019-02-26_final
2019-04-02 11:02:26	ga_s2am_ard_3-2-1_52KHE_2019-04-02_final
2019-05-24 11:41:00	ga_s2am_ard_3-2-1_51LWG_2019-05-24_final.stac-item
2019-09-18 11:36:23	ga_s2am_ard_3-2-1_51HVE_2019-09-18_final
2019-09-19 11:02:25	ga_s2am_ard_3-2-1_52KHE_2019-09-19_final
2019-09-26 10:52:32	ga_s2am_ard_3-2-1_52KHE_2019-09-26_final
2019-10-08 11:36:26	ga_s2am_ard_3-2-1_51HVE_2019-10-08_final
2020-01-19 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-19_final
2020-02-01 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final
2020-02-08 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-02-08_final
2020-02-18 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-02-18_final
2020-04-08 11:40:55	ga_s2am_ard_3-2-1_51LWG_2020-04-08_final.stac-item
2020-06-21 11:23:08	ga_s2am_ard_3-2-1_51KYU_2020-06-21_final
2020-06-21 11:23:27	ga_s2am_ard_3-2-1_51KZS_2020-06-21_final
2020-09-22 11:31:40	ga_s2am_ard_3-2-1_51LZD_2020-09-22_final
2020-10-02 11:36:16	ga_s2am_ard_3-2-1_51JVF_2020-10-02_final
2020-12-07 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-07_final
2021-02-05 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-02-05_final
2021-02-19 11:36:23	ga_s2am_ard_3-2-1_51HVE_2021-02-19_final
2021-09-08 11:05:59	ga_s2am_ard_3-2-1_52JEL_2021-09-08_final
2021-09-28 11:03:37	ga_s2am_ard_3-2-1_52KHV_2021-09-28_final
2021-09-28 11:04:15	ga_s2am_ard_3-2-1_52JGT_2021-09-28_final
2021-09-28 11:05:16	ga_s2am_ard_3-2-1_52JFP_2021-09-28_final
2022-03-29 11:45:02	ga_s2am_ard_3-2-1_51JTL_2022-03-29_final
2022-04-02 11:23:23	ga_s2am_ard_3-2-1_51KZS_2022-04-02_final
2022-04-06 11:04:59	ga_s2am_ard_3-2-1_52JFQ_2022-04-06_final
2022-04-08 11:41:19	ga_s2am_ard_3-2-1_51LUF_2022-04-08_final
2022-04-18 11:41:37	ga_s2am_ard_3-2-1_51LUE_2022-04-18_final
2022-06-02 10:52:31	ga_s2am_ard_3-2-1_52KHE_2022-06-02_final
2022-06-08 11:13:37	ga_s2am_ard_3-2-1_51KZS_2022-06-08_final
2022-07-08 11:13:41	ga_s2am_ard_3-2-1_51KZS_2022-07-08_final
2022-07-18 11:13:40	ga_s2am_ard_3-2-1_51KZS_2022-07-18_final
2022-09-08 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-09-08_final.stac-item
2022-09-13 11:05:08	ga_s2am_ard_3-2-1_52JFQ_2022-09-13_final.stac-item
2022-09-29 11:26:18	ga_s2am_ard_3-2-1_51JWF_2022-09-29_final.stac-item
2022-10-03 11:02:47	ga_s2am_ard_3-2-1_52KHD_2022-10-03_final.stac-item
2022-10-09 11:26:32	ga_s2am_ard_3-2-1_51HWE_2022-10-09_final.stac-item
2022-10-18 11:57:09	ga_s2am_ard_3-2-1_50HMH_2022-10-18_final.stac-item
2023-04-09 12:06:04	ga_s2am_ard_3-2-1_50JLM_2023-04-09_final.stac-item
2023-05-27 11:23:24	ga_s2am_ard_3-2-1_52KBB_2023-05-27_final.stac-item
2023-05-31 11:02:30	ga_s2am_ard_3-2-1_52KHE_2023-05-31_final.stac-item
2023-09-08 11:05:31	ga_s2am_ard_3-2-1_52JFN_2023-09-08_final.stac-item
2023-09-08 11:05:43	ga_s2am_ard_3-2-1_52JFM_2023-09-08_final.stac-item
2023-09-08 11:06:08	ga_s2am_ard_3-2-1_52JDL_2023-09-08_final.stac-item
2023-09-11 11:14:51	ga_s2am_ard_3-2-1_52JDR_2023-09-11_final.stac-item
2023-09-18 11:02:29	ga_s2am_ard_3-2-1_52KHE_2023-09-18_final.stac-item
2023-09-21 11:14:48	ga_s2am_ard_3-2-1_52JDR_2023-09-21_final.stac-item
2023-10-03 11:57:11	ga_s2am_ard_3-2-1_50HLH_2023-10-03_final.stac-item
2023-10-04 11:26:13	ga_s2am_ard_3-2-1_51JWF_2023-10-04_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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