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_51JVF_2015-09-19_final.stac-item
2015-12-05 11:26:08	ga_s2am_ard_3-2-1_51JUF_2015-12-05_final.stac-item
2015-12-05 11:26:08	ga_s2am_ard_3-2-1_51JWF_2015-12-05_final.stac-item
2015-12-18 11:36:25	ga_s2am_ard_3-2-1_50JPL_2015-12-18_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51HWD_2016-01-11_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KKA_2016-01-16_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JVH_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51LZE_2016-01-24_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JLS_2016-02-02_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-03-06_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_51KZQ_2016-03-11_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_52KBV_2016-03-11_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPR_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KQA_2016-03-20_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51JYK_2016-04-10_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JNN_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KYV_2016-04-23_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HMK_2016-04-29_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HUC_2016-05-03_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51HTE_2016-05-06_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50JRT_2016-05-16_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JWN_2016-05-23_final.stac-item
2016-05-24 10:55:20	ga_s2am_ard_3-2-1_52JEN_2016-05-24_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51LUF_2016-05-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPH_2016-06-05_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KWA_2016-06-05_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HPK_2016-07-28_final.stac-item
2016-09-10 11:26:07	ga_s2am_ard_3-2-1_51JUF_2016-09-10_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLH_2016-11-05_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HMH_2016-12-05_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLH_2016-12-08_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMJ_2017-01-24_final
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_51HUE_2017-03-02_final
2017-05-01 11:36:06	ga_s2am_ard_3-2-1_51JVF_2017-05-01_final
2017-05-08 11:26:12	ga_s2am_ard_3-2-1_51HUE_2017-05-08_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50JKR_2017-09-07_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMJ_2017-12-23_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMH_2018-02-08_final
2018-11-12 11:37:12	ga_s2am_ard_3-2-1_50HQG_2018-11-12_final.stac-item
2018-12-08 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2018-12-08_final
2019-01-31 11:36:20	ga_s2am_ard_3-2-1_51HVE_2019-01-31_final
2019-06-17 11:23:31	ga_s2am_ard_3-2-1_52KCA_2019-06-17_final
2019-09-08 11:36:09	ga_s2am_ard_3-2-1_51JVF_2019-09-08_final
2019-11-30 11:47:13	ga_s2am_ard_3-2-1_50HLH_2019-11-30_final
2020-01-26 11:36:03	ga_s2am_ard_3-2-1_51JVF_2020-01-26_final
2020-01-26 11:36:17	ga_s2am_ard_3-2-1_51HVE_2020-01-26_final
2020-02-11 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2020-02-11_final
2020-04-03 10:55:09	ga_s2am_ard_3-2-1_52JGP_2020-04-03_final
2020-05-25 11:33:09	ga_s2am_ard_3-2-1_51KXT_2020-05-25_final
2020-05-25 11:33:19	ga_s2am_ard_3-2-1_51KWT_2020-05-25_final
2020-06-01 11:23:27	ga_s2am_ard_3-2-1_52KBB_2020-06-01_final
2020-06-21 11:23:07	ga_s2am_ard_3-2-1_51KZT_2020-06-21_final
2020-07-26 12:13:45	ga_s2am_ard_3-2-1_50KKB_2020-07-26_final
2020-09-12 11:36:32	ga_s2am_ard_3-2-1_51HUE_2020-09-12_final
2020-12-01 11:36:10	ga_s2am_ard_3-2-1_51JVF_2020-12-01_final
2021-01-31 11:04:18	ga_s2am_ard_3-2-1_52JET_2021-01-31_final
2021-02-25 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-02-25_final
2021-05-30 11:31:36	ga_s2am_ard_3-2-1_51LZD_2021-05-30_final
2021-05-30 11:31:40	ga_s2am_ard_3-2-1_51LYD_2021-05-30_final
2021-06-06 11:23:21	ga_s2am_ard_3-2-1_52KBB_2021-06-06_final
2021-06-06 11:23:22	ga_s2am_ard_3-2-1_51KZS_2021-06-06_final
2021-07-09 11:33:05	ga_s2am_ard_3-2-1_51KYT_2021-07-09_final
2021-07-13 11:13:32	ga_s2am_ard_3-2-1_51KZS_2021-07-13_final
2021-07-16 11:23:31	ga_s2am_ard_3-2-1_52KCA_2021-07-16_final
2021-09-07 11:35:56	ga_s2am_ard_3-2-1_51JVG_2021-09-07_final
2021-09-07 11:36:14	ga_s2am_ard_3-2-1_51JUF_2021-09-07_final
2021-09-08 11:04:36	ga_s2am_ard_3-2-1_52JGR_2021-09-08_final
2021-09-20 11:46:32	ga_s2am_ard_3-2-1_50HQK_2021-09-20_final
2021-09-20 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2021-09-20_final
2021-09-27 11:36:18	ga_s2am_ard_3-2-1_51JUF_2021-09-27_final
2022-01-15 11:36:11	ga_s2am_ard_3-2-1_51JVF_2022-01-15_final
2022-06-15 11:05:49	ga_s2am_ard_3-2-1_52JFM_2022-06-15_final
2022-06-15 11:06:10	ga_s2am_ard_3-2-1_52JEL_2022-06-15_final
2022-06-15 11:06:14	ga_s2am_ard_3-2-1_52JDL_2022-06-15_final
2022-09-09 11:26:26	ga_s2am_ard_3-2-1_51JVF_2022-09-09_final.stac-item
2022-09-19 11:22:31	ga_s2am_ard_3-2-1_52KBF_2022-09-19_final.stac-item
2022-09-29 11:26:22	ga_s2am_ard_3-2-1_51JVF_2022-09-29_final.stac-item
2022-10-12 11:36:16	ga_s2am_ard_3-2-1_51JVF_2022-10-12_final.stac-item
2022-10-28 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2022-10-28_final.stac-item
2022-12-01 11:36:10	ga_s2am_ard_3-2-1_51JVF_2022-12-01_final.stac-item
2022-12-17 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-12-17_final.stac-item
2023-02-05 11:56:29	ga_s2am_ard_3-2-1_50HNK_2023-02-05_final.stac-item
2023-04-30 11:36:23	ga_s2am_ard_3-2-1_51HVE_2023-04-30_final.stac-item
2023-06-06 11:23:38	ga_s2am_ard_3-2-1_52KBA_2023-06-06_final.stac-item
2023-07-25 11:50:37	ga_s2am_ard_3-2-1_51LUJ_2023-07-25_nrt.stac-item
2023-09-04 11:25:50	ga_s2am_ard_3-2-1_51JYG_2023-09-04_final.stac-item
2023-09-04 11:26:16	ga_s2am_ard_3-2-1_51JWF_2023-09-04_final.stac-item
2023-09-08 11:04:40	ga_s2am_ard_3-2-1_52JGR_2023-09-08_final.stac-item
2023-09-10 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2023-09-10_final.stac-item
2023-09-14 11:26:15	ga_s2am_ard_3-2-1_51JWF_2023-09-14_final.stac-item
2023-09-14 11:26:26	ga_s2am_ard_3-2-1_51HXE_2023-09-14_final.stac-item
2023-09-18 11:06:02	ga_s2am_ard_3-2-1_52JEL_2023-09-18_final.stac-item
2023-09-28 11:05:00	ga_s2am_ard_3-2-1_52JFQ_2023-09-28_final.stac-item
2023-10-04 11:25:46	ga_s2am_ard_3-2-1_51JYG_2023-10-04_final.stac-item
2023-10-07 11:36:11	ga_s2am_ard_3-2-1_51JVF_2023-10-07_final.stac-item
2023-10-07 11:36:24	ga_s2am_ard_3-2-1_51HVE_2023-10-07_final.stac-item
2023-10-14 11:26:09	ga_s2am_ard_3-2-1_51JWF_2023-10-14_final.stac-item
2023-11-06 11:36:10	ga_s2am_ard_3-2-1_51JVF_2023-11-06_final.stac-item
2024-01-08 11:47:10	ga_s2am_ard_3-2-1_50HLH_2024-01-08_final.stac-item
2024-01-21 11:56:58	ga_s2am_ard_3-2-1_50HMH_2024-01-21_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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