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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JYK_2015-10-23_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KYS_2015-11-25_final.stac-item
2015-12-19 11:04:17	ga_s2am_ard_3-2-1_52KFB_2015-12-19_final.stac-item
2016-05-05 12:03:52	ga_s2am_ard_3-2-1_50KKA_2016-05-05_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KDD_2016-05-20_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KMC_2016-06-24_final.stac-item
2016-07-07 10:34:31	ga_s2am_ard_3-2-1_53HME_2016-07-07_final.stac-item
2016-07-13 10:52:20	ga_s2am_ard_3-2-1_53KLQ_2016-07-13_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50HPK_2016-09-13_final.stac-item
2016-10-27 11:09:33	ga_s2am_ard_3-2-1_52JDS_2016-10-27_final.stac-item
2016-11-07 10:41:30	ga_s2am_ard_3-2-1_53JLH_2016-11-07_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGK_2016-11-11_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KTQ_2017-01-24_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50KQC_2017-02-03_final
2017-02-21 11:00:21	ga_s2am_ard_3-2-1_52HBK_2017-02-21_final
2017-04-12 11:00:40	ga_s2am_ard_3-2-1_52LHL_2017-04-12_final
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53JPM_2017-07-25_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HQJ_2017-09-21_final
2017-12-11 11:07:07	ga_s2am_ard_3-2-1_52LDJ_2017-12-11_final
2017-12-29 10:32:26	ga_s2am_ard_3-2-1_53JPF_2017-12-29_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KTP_2017-12-30_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KTP_2018-02-18_final
2018-03-09 10:27:04	ga_s2am_ard_3-2-1_53JRN_2018-03-09_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_52KDF_2018-05-03_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HTE_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVH_2018-06-05_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JCN_2018-06-19_final
2018-07-24 10:17:07	ga_s2am_ard_3-2-1_53HNB_2018-07-24_final
2018-08-19 10:37:26	ga_s2am_ard_3-2-1_53JPM_2018-08-19_final
2018-08-29 10:37:26	ga_s2am_ard_3-2-1_53JKJ_2018-08-29_final
2018-09-09 10:07:02	ga_s2am_ard_3-2-1_53HQB_2018-09-09_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-10-05_final
2018-10-11 10:47:22	ga_s2am_ard_3-2-1_53JLJ_2018-10-11_final
2018-10-27 11:07:09	ga_s2am_ard_3-2-1_52KDF_2018-10-27_final
2018-11-19 11:26:55	ga_s2am_ard_3-2-1_51HUC_2018-11-19_final
2018-12-06 11:16:28	ga_s2am_ard_3-2-1_51HYD_2018-12-06_final
2019-01-22 11:02:51	ga_s2am_ard_3-2-1_53KKT_2019-01-22_final
2019-02-07 11:24:26	ga_s2am_ard_3-2-1_51JWN_2019-02-07_final
2019-03-04 10:34:16	ga_s2am_ard_3-2-1_53JPM_2019-03-04_final
2019-05-27 11:54:40	ga_s2am_ard_3-2-1_50JNT_2019-05-27_final
2019-06-24 11:14:35	ga_s2am_ard_3-2-1_52JDS_2019-06-24_final
2019-10-08 11:32:22	ga_s2am_ard_3-2-1_51KVB_2019-10-08_final
2019-10-25 11:26:47	ga_s2am_ard_3-2-1_51HVD_2019-10-25_final
2019-11-07 11:32:22	ga_s2am_ard_3-2-1_51KVB_2019-11-07_final
2019-11-12 10:45:49	ga_s2am_ard_3-2-1_52JGM_2019-11-12_final
2020-02-26 11:02:35	ga_s2am_ard_3-2-1_52KHD_2020-02-26_final
2020-03-03 11:23:12	ga_s2am_ard_3-2-1_52KCB_2020-03-03_final
2020-05-22 11:23:01	ga_s2am_ard_3-2-1_51KYU_2020-05-22_final
2020-05-26 11:04:17	ga_s2am_ard_3-2-1_52JGT_2020-05-26_final
2020-05-29 11:15:13	ga_s2am_ard_3-2-1_52JBQ_2020-05-29_final
2020-08-20 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2020-08-20_final
2020-10-22 11:36:34	ga_s2am_ard_3-2-1_51HUE_2020-10-22_final
2020-11-05 11:14:14	ga_s2am_ard_3-2-1_52KBU_2020-11-05_final
2020-11-23 10:36:30	ga_s2am_ard_3-2-1_53HLD_2020-11-23_final
2020-11-25 11:14:42	ga_s2am_ard_3-2-1_51JYM_2020-11-25_final
2020-12-10 12:05:37	ga_s2am_ard_3-2-1_50JKP_2020-12-10_final
2020-12-12 11:03:30	ga_s2am_ard_3-2-1_52KHV_2020-12-12_final
2020-12-12 11:04:47	ga_s2am_ard_3-2-1_52JDR_2020-12-12_final
2020-12-23 10:34:20	ga_s2am_ard_3-2-1_53JPM_2020-12-23_final
2021-01-10 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-01-10_final
2021-01-20 11:32:30	ga_s2am_ard_3-2-1_51KWA_2021-01-20_final
2021-01-20 11:33:35	ga_s2am_ard_3-2-1_51KUS_2021-01-20_final
2021-02-02 11:42:09	ga_s2am_ard_3-2-1_51KWB_2021-02-02_final
2021-02-06 11:25:41	ga_s2am_ard_3-2-1_51JWH_2021-02-06_final
2021-04-20 11:36:43	ga_s2am_ard_3-2-1_50HQJ_2021-04-20_final
2021-05-08 10:54:25	ga_s2am_ard_3-2-1_52JHS_2021-05-08_final
2021-05-24 11:16:08	ga_s2am_ard_3-2-1_51JYF_2021-05-24_final
2021-06-11 10:34:33	ga_s2am_ard_3-2-1_53JQL_2021-06-11_final
2021-06-16 11:23:25	ga_s2am_ard_3-2-1_51KYS_2021-06-16_final
2021-07-21 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-07-21_final
2021-08-03 10:46:24	ga_s2am_ard_3-2-1_53HMD_2021-08-03_final
2022-03-05 10:26:44	ga_s2am_ard_3-2-1_53HNC_2022-03-05_final
2022-03-14 10:55:46	ga_s2am_ard_3-2-1_52JGM_2022-03-14_final
2022-04-15 11:36:26	ga_s2am_ard_3-2-1_51HVE_2022-04-15_final
2022-04-18 11:44:49	ga_s2am_ard_3-2-1_50JRS_2022-04-18_final
2022-04-28 11:44:07	ga_s2am_ard_3-2-1_51KTQ_2022-04-28_final
2022-06-02 10:52:36	ga_s2am_ard_3-2-1_53KLV_2022-06-02_final
2022-06-29 10:45:09	ga_s2am_ard_3-2-1_53JLK_2022-06-29_final
2022-08-02 12:06:14	ga_s2am_ard_3-2-1_50JLM_2022-08-02_final
2022-09-03 11:04:26	ga_s2am_ard_3-2-1_52JFT_2022-09-03_final.stac-item
2022-09-26 11:16:15	ga_s2am_ard_3-2-1_51JYF_2022-09-26_final.stac-item
2022-11-25 11:13:43	ga_s2am_ard_3-2-1_52KEV_2022-11-25_final.stac-item
2023-01-08 10:53:41	ga_s2am_ard_3-2-1_52KHV_2023-01-08_final.stac-item
2023-01-28 10:55:22	ga_s2am_ard_3-2-1_53JKH_2023-01-28_final.stac-item
2023-01-31 11:02:53	ga_s2am_ard_3-2-1_52KHC_2023-01-31_final.stac-item
2023-03-02 11:02:17	ga_s2am_ard_3-2-1_52KHE_2023-03-02_final.stac-item
2023-05-06 11:57:13	ga_s2am_ard_3-2-1_50HKH_2023-05-06_nrt.stac-item
2023-05-25 10:46:09	ga_s2am_ard_3-2-1_53HME_2023-05-25_final.stac-item
2023-06-26 11:23:10	ga_s2am_ard_3-2-1_51KZT_2023-06-26_final.stac-item
2023-08-11 11:46:20	ga_s2am_ard_3-2-1_50JMM_2023-08-11_final.stac-item
2023-09-03 11:55:15	ga_s2am_ard_3-2-1_50JMR_2023-09-03_final.stac-item
2023-11-22 11:57:11	ga_s2am_ard_3-2-1_49HGC_2023-11-22_nrt.stac-item
2023-11-28 10:34:36	ga_s2am_ard_3-2-1_53JPK_2023-11-28_final.stac-item
2023-12-05 10:26:44	ga_s2am_ard_3-2-1_53HPB_2023-12-05_final.stac-item
2024-01-25 11:35:27	ga_s2am_ard_3-2-1_51JTJ_2024-01-25_final.stac-item
2024-02-08 11:11:55	ga_s2am_ard_3-2-1_52KFG_2024-02-08_final.stac-item
2024-03-03 10:52:41	ga_s2am_ard_3-2-1_53KLU_2024-03-03_final.stac-item
2024-03-06 11:03:28	ga_s2am_ard_3-2-1_52KGA_2024-03-06_final.stac-item
2024-03-19 11:16:41	ga_s2am_ard_3-2-1_51HXD_2024-03-19_final.stac-item
2024-05-13 12:05:55	ga_s2am_ard_3-2-1_50JLN_2024-05-13_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

All years