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
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KVB_2016-05-09_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51JYM_2016-09-20_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51KYR_2016-09-20_final.stac-item
2016-10-04 10:57:51	ga_s2am_ard_3-2-1_52JES_2016-10-04_final.stac-item
2016-10-17 11:11:30	ga_s2am_ard_3-2-1_51JYH_2016-10-17_final.stac-item
2016-10-17 11:11:30	ga_s2am_ard_3-2-1_52JCR_2016-10-17_final.stac-item
2016-11-13 11:01:05	ga_s2am_ard_3-2-1_52JDN_2016-11-13_final.stac-item
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51JUF_2017-01-31_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51KYQ_2017-07-17_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_52JBS_2017-11-21_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_52HBK_2018-01-20_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_52JCT_2018-03-01_final
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51KYR_2018-04-03_final
2018-04-17 11:04:48	ga_s2am_ard_3-2-1_52JCL_2018-04-17_final
2018-06-26 11:02:55	ga_s2am_ard_3-2-1_52JCL_2018-06-26_final
2018-07-06 10:57:17	ga_s2am_ard_3-2-1_52JCL_2018-07-06_final
2018-07-06 10:57:17	ga_s2am_ard_3-2-1_52JEP_2018-07-06_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_51JYG_2018-07-09_final
2018-07-13 10:47:26	ga_s2am_ard_3-2-1_52JGN_2018-07-13_final
2018-07-16 10:57:17	ga_s2am_ard_3-2-1_52JCL_2018-07-16_final
2018-08-28 11:10:58	ga_s2am_ard_3-2-1_51JYG_2018-08-28_final
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52JEQ_2018-10-24_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JEQ_2018-11-03_final
2019-01-08 11:23:02	ga_s2am_ard_3-2-1_51KZT_2019-01-08_final
2019-01-12 11:04:57	ga_s2am_ard_3-2-1_52JEQ_2019-01-12_final
2019-02-14 11:15:18	ga_s2am_ard_3-2-1_52JBP_2019-02-14_final
2019-02-17 11:23:17	ga_s2am_ard_3-2-1_51KZS_2019-02-17_final
2019-03-03 11:05:43	ga_s2am_ard_3-2-1_52JDM_2019-03-03_final
2019-05-05 11:15:40	ga_s2am_ard_3-2-1_52JBN_2019-05-05_final
2019-05-08 11:23:14	ga_s2am_ard_3-2-1_51KYT_2019-05-08_final
2019-06-14 11:15:54	ga_s2am_ard_3-2-1_52JBM_2019-06-14_final
2019-08-13 11:15:57	ga_s2am_ard_3-2-1_51JYG_2019-08-13_final
2019-08-26 11:23:26	ga_s2am_ard_3-2-1_51KYS_2019-08-26_final
2019-10-05 11:24:57	ga_s2am_ard_3-2-1_51JXL_2019-10-05_final
2019-10-29 11:05:19	ga_s2am_ard_3-2-1_52JEP_2019-10-29_final
2019-11-21 11:14:53	ga_s2am_ard_3-2-1_52JBR_2019-11-21_final
2020-01-24 10:55:35	ga_s2am_ard_3-2-1_52JGM_2020-01-24_final
2020-02-05 11:32:17	ga_s2am_ard_3-2-1_51KXA_2020-02-05_final
2020-02-25 11:32:38	ga_s2am_ard_3-2-1_51KWV_2020-02-25_final
2020-02-25 11:33:08	ga_s2am_ard_3-2-1_51KWT_2020-02-25_final
2020-02-26 11:05:44	ga_s2am_ard_3-2-1_52JDM_2020-02-26_final
2020-03-16 11:33:09	ga_s2am_ard_3-2-1_51KWT_2020-03-16_final
2020-05-18 11:41:06	ga_s2am_ard_3-2-1_51LVG_2020-05-18_final
2020-05-19 11:14:26	ga_s2am_ard_3-2-1_52JCT_2020-05-19_final
2020-06-05 11:06:13	ga_s2am_ard_3-2-1_52JCL_2020-06-05_final
2020-07-14 11:33:17	ga_s2am_ard_3-2-1_51KWT_2020-07-14_final
2020-07-15 11:06:11	ga_s2am_ard_3-2-1_52JCL_2020-07-15_final
2020-07-22 10:55:33	ga_s2am_ard_3-2-1_52JGN_2020-07-22_final
2020-10-26 11:14:43	ga_s2am_ard_3-2-1_51JZM_2020-10-26_final
2020-10-26 11:14:43	ga_s2am_ard_3-2-1_52JBS_2020-10-26_final
2020-11-05 11:15:44	ga_s2am_ard_3-2-1_51JYH_2020-11-05_final
2020-11-22 11:04:20	ga_s2am_ard_3-2-1_52JET_2020-11-22_final
2020-11-28 11:23:07	ga_s2am_ard_3-2-1_51KZT_2020-11-28_final
2020-12-05 11:15:02	ga_s2am_ard_3-2-1_52JCQ_2020-12-05_final
2020-12-09 10:55:24	ga_s2am_ard_3-2-1_52JGN_2020-12-09_final
2020-12-28 11:25:27	ga_s2am_ard_3-2-1_51JWJ_2020-12-28_final
2021-01-27 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-01-27_final
2021-04-04 11:15:04	ga_s2am_ard_3-2-1_52JBQ_2021-04-04_final
2021-08-15 11:23:42	ga_s2am_ard_3-2-1_51KYR_2021-08-15_final
2021-08-25 11:24:25	ga_s2am_ard_3-2-1_51JYN_2021-08-25_final
2021-08-29 11:05:50	ga_s2am_ard_3-2-1_52JDM_2021-08-29_final
2021-09-11 11:15:07	ga_s2am_ard_3-2-1_52JBQ_2021-09-11_final
2021-09-21 11:16:11	ga_s2am_ard_3-2-1_51JYF_2021-09-21_final
2021-10-11 11:16:31	ga_s2am_ard_3-2-1_51HXE_2021-10-11_final
2021-10-24 11:23:15	ga_s2am_ard_3-2-1_51KYT_2021-10-24_final
2021-10-31 11:16:10	ga_s2am_ard_3-2-1_52JBL_2021-10-31_final
2021-10-31 11:16:12	ga_s2am_ard_3-2-1_51JYF_2021-10-31_final
2021-11-27 11:05:01	ga_s2am_ard_3-2-1_52JEQ_2021-11-27_final
2021-12-27 11:05:50	ga_s2am_ard_3-2-1_52JDM_2021-12-27_final
2022-02-28 11:14:24	ga_s2am_ard_3-2-1_52JCT_2022-02-28_final
2022-03-19 11:47:10	ga_s2am_ard_3-2-1_50HNH_2022-03-19_final
2022-04-16 11:05:08	ga_s2am_ard_3-2-1_52JDQ_2022-04-16_final
2022-04-22 11:23:58	ga_s2am_ard_3-2-1_51KYQ_2022-04-22_final
2022-04-26 11:05:10	ga_s2am_ard_3-2-1_52JDQ_2022-04-26_final
2022-04-28 11:43:20	ga_s2am_ard_3-2-1_51KUT_2022-04-28_final
2022-06-01 11:23:00	ga_s2am_ard_3-2-1_51KZU_2022-06-01_final
2022-07-01 11:23:52	ga_s2am_ard_3-2-1_51KYR_2022-07-01_final
2022-07-11 11:23:52	ga_s2am_ard_3-2-1_51KYR_2022-07-11_final
2022-08-27 11:15:16	ga_s2am_ard_3-2-1_52JCQ_2022-08-27_final
2022-11-21 11:32:12	ga_s2am_ard_3-2-1_51KXB_2022-11-21_final.stac-item
2022-11-22 11:06:07	ga_s2am_ard_3-2-1_52JCL_2022-11-22_final.stac-item
2023-01-07 11:24:25	ga_s2am_ard_3-2-1_51JXN_2023-01-07_final.stac-item
2023-01-07 11:26:42	ga_s2am_ard_3-2-1_51HVD_2023-01-07_final.stac-item
2023-01-26 11:51:14	ga_s2am_ard_3-2-1_51LTF_2023-01-26_nrt.stac-item
2023-02-16 11:24:52	ga_s2am_ard_3-2-1_51JXL_2023-02-16_final.stac-item
2023-03-22 11:05:18	ga_s2am_ard_3-2-1_52JDP_2023-03-22_final.stac-item
2023-04-07 11:23:54	ga_s2am_ard_3-2-1_51KYQ_2023-04-07_final.stac-item
2023-05-27 11:23:43	ga_s2am_ard_3-2-1_51KYR_2023-05-27_final.stac-item
2023-10-04 11:24:57	ga_s2am_ard_3-2-1_51JXL_2023-10-04_final.stac-item
2023-10-08 11:04:47	ga_s2am_ard_3-2-1_52JER_2023-10-08_final.stac-item
2023-10-17 11:33:41	ga_s2am_ard_3-2-1_51KWR_2023-10-17_final.stac-item
2023-10-27 11:34:29	ga_s2am_ard_3-2-1_51JVN_2023-10-27_final.stac-item
2023-11-03 11:24:54	ga_s2am_ard_3-2-1_51JXL_2023-11-03_final.stac-item
2023-12-07 11:05:24	ga_s2am_ard_3-2-1_52JEN_2023-12-07_final.stac-item
2023-12-10 11:14:15	ga_s2am_ard_3-2-1_52JCT_2023-12-10_final.stac-item
2023-12-13 11:24:51	ga_s2am_ard_3-2-1_51JXL_2023-12-13_final.stac-item
2024-01-02 11:24:52	ga_s2am_ard_3-2-1_51JXL_2024-01-02_final.stac-item
2024-01-05 11:32:55	ga_s2am_ard_3-2-1_51KWU_2024-01-05_final.stac-item
2024-01-19 11:15:59	ga_s2am_ard_3-2-1_51JYF_2024-01-19_final.stac-item
2024-05-05 11:05:08	ga_s2am_ard_3-2-1_52JDQ_2024-05-05_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