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_52JDS_2015-10-23_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HVE_2015-11-25_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HQJ_2016-02-19_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KXA_2016-03-07_final.stac-item
2016-03-21 11:12:12	ga_s2am_ard_3-2-1_52KCA_2016-03-21_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KUV_2016-05-09_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JTH_2016-06-05_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JPL_2016-07-08_final.stac-item
2016-07-24 10:26:08	ga_s2am_ard_3-2-1_53HPB_2016-07-24_final.stac-item
2016-09-22 10:25:59	ga_s2am_ard_3-2-1_53HPA_2016-09-22_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KNV_2016-10-29_final.stac-item
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_53HQB_2016-11-08_final.stac-item
2016-11-10 10:52:15	ga_s2am_ard_3-2-1_52KGA_2016-11-10_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KWP_2016-12-09_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_52KBA_2017-01-08_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KRC_2017-01-14_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51LZE_2017-01-18_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JLN_2017-01-30_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51HTD_2017-01-31_final
2017-02-22 10:29:15	ga_s2am_ard_3-2-1_53JMH_2017-02-22_final
2017-04-22 11:03:00	ga_s2am_ard_3-2-1_52JFN_2017-04-22_final
2017-06-19 10:26:37	ga_s2am_ard_3-2-1_53HQA_2017-06-19_final
2017-09-03 10:43:06	ga_s2am_ard_3-2-1_53HLD_2017-09-03_final
2017-11-08 10:57:14	ga_s2am_ard_3-2-1_52KHG_2017-11-08_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HPK_2018-02-08_final
2018-03-19 10:35:43	ga_s2am_ard_3-2-1_53HPB_2018-03-19_final
2018-06-04 12:02:50	ga_s2am_ard_3-2-1_50KNA_2018-06-04_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKN_2018-07-04_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQK_2018-08-14_final
2018-09-11 10:55:00	ga_s2am_ard_3-2-1_53JKH_2018-09-11_final
2018-10-11 10:47:22	ga_s2am_ard_3-2-1_52KHD_2018-10-11_final
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_53JPL_2018-10-25_final
2018-11-09 11:25:01	ga_s2am_ard_3-2-1_51JYK_2018-11-09_final
2019-02-04 11:11:45	ga_s2am_ard_3-2-1_52LEH_2019-02-04_final
2019-03-08 11:56:05	ga_s2am_ard_3-2-1_50JLM_2019-03-08_final
2019-06-08 10:55:30	ga_s2am_ard_3-2-1_52JGN_2019-06-08_final
2019-06-23 11:46:38	ga_s2am_ard_3-2-1_50HPK_2019-06-23_final
2019-08-11 12:13:43	ga_s2am_ard_3-2-1_50KKB_2019-08-11_final
2019-09-14 11:56:13	ga_s2am_ard_3-2-1_50JKM_2019-09-14_final
2019-09-20 10:34:54	ga_s2am_ard_3-2-1_53JNK_2019-09-20_final
2019-12-21 11:13:48	ga_s2am_ard_3-2-1_52KBV_2019-12-21_final
2019-12-21 11:14:35	ga_s2am_ard_3-2-1_51JYM_2019-12-21_final
2020-01-21 10:44:00	ga_s2am_ard_3-2-1_53JNN_2020-01-21_final
2020-01-31 10:43:55	ga_s2am_ard_3-2-1_53JPN_2020-01-31_final
2020-03-03 11:23:06	ga_s2am_ard_3-2-1_51KYT_2020-03-03_final
2020-05-28 11:42:33	ga_s2am_ard_3-2-1_51KVA_2020-05-28_final
2020-08-05 10:36:31	ga_s2am_ard_3-2-1_53HMD_2020-08-05_final
2020-09-16 11:16:12	ga_s2am_ard_3-2-1_51JYF_2020-09-16_final
2020-10-14 10:36:22	ga_s2am_ard_3-2-1_53HLE_2020-10-14_final
2020-10-23 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-10-23_final
2020-12-20 10:25:33	ga_s2am_ard_3-2-1_53JQG_2020-12-20_final
2020-12-22 11:03:26	ga_s2am_ard_3-2-1_52KGA_2020-12-22_final
2020-12-23 10:36:31	ga_s2am_ard_3-2-1_53HPC_2020-12-23_final
2021-01-05 10:46:24	ga_s2am_ard_3-2-1_53HLD_2021-01-05_final
2021-01-07 11:23:35	ga_s2am_ard_3-2-1_52KBA_2021-01-07_final
2021-01-21 11:01:18	ga_s2am_ard_3-2-1_52LGK_2021-01-21_final
2021-01-25 10:44:17	ga_s2am_ard_3-2-1_53JPM_2021-01-25_final
2021-01-30 11:32:55	ga_s2am_ard_3-2-1_51KXU_2021-01-30_final
2021-01-30 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2021-01-30_final
2021-01-31 11:06:10	ga_s2am_ard_3-2-1_52JBL_2021-01-31_final
2021-02-02 11:42:09	ga_s2am_ard_3-2-1_51KWB_2021-02-02_final
2021-02-16 11:23:12	ga_s2am_ard_3-2-1_51KXT_2021-02-16_final
2021-03-18 11:21:31	ga_s2am_ard_3-2-1_52LDJ_2021-03-18_final
2021-04-06 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-04-06_final
2021-05-24 11:10:25	ga_s2am_ard_3-2-1_52LHN_2021-05-24_final
2021-06-13 11:15:48	ga_s2am_ard_3-2-1_52JCM_2021-06-13_final
2021-07-29 11:36:35	ga_s2am_ard_3-2-1_51HTE_2021-07-29_final
2021-08-01 11:45:53	ga_s2am_ard_3-2-1_50JPN_2021-08-01_final
2021-10-16 10:26:56	ga_s2am_ard_3-2-1_53HPB_2021-10-16_final
2021-11-07 11:02:47	ga_s2am_ard_3-2-1_52KGD_2021-11-07_final
2021-12-14 10:55:31	ga_s2am_ard_3-2-1_52JFN_2021-12-14_final
2022-01-17 10:36:34	ga_s2am_ard_3-2-1_53HPC_2022-01-17_final
2022-01-26 11:02:01	ga_s2am_ard_3-2-1_52KGG_2022-01-26_final
2022-04-12 11:26:17	ga_s2am_ard_3-2-1_51JVF_2022-04-12_final
2022-04-27 10:34:09	ga_s2am_ard_3-2-1_53JQN_2022-04-27_final
2022-06-03 12:06:18	ga_s2am_ard_3-2-1_50JKM_2022-06-03_final
2022-06-08 11:16:28	ga_s2am_ard_3-2-1_51JWF_2022-06-08_final
2022-06-18 11:14:03	ga_s2am_ard_3-2-1_52KCV_2022-06-18_final
2022-07-25 11:04:04	ga_s2am_ard_3-2-1_52KDV_2022-07-25_final
2022-08-02 10:27:15	ga_s2am_ard_3-2-1_53HPA_2022-08-02_final
2022-08-22 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-08-22_final
2022-09-05 11:45:51	ga_s2am_ard_3-2-1_50JNP_2022-09-05_final.stac-item
2022-10-02 11:34:21	ga_s2am_ard_3-2-1_51KVP_2022-10-02_final.stac-item
2022-10-10 10:55:52	ga_s2am_ard_3-2-1_52JFM_2022-10-10_final.stac-item
2022-10-17 10:46:09	ga_s2am_ard_3-2-1_53HME_2022-10-17_final.stac-item
2022-11-20 12:06:11	ga_s2am_ard_3-2-1_50JKM_2022-11-20_final.stac-item
2023-02-05 10:17:03	ga_s2am_ard_3-2-1_53HQA_2023-02-05_final.stac-item
2023-02-07 10:52:58	ga_s2am_ard_3-2-1_52KHC_2023-02-07_final.stac-item
2023-03-26 10:45:09	ga_s2am_ard_3-2-1_53JLJ_2023-03-26_final.stac-item
2023-03-29 10:54:08	ga_s2am_ard_3-2-1_52JHT_2023-03-29_final.stac-item
2023-04-14 11:14:09	ga_s2am_ard_3-2-1_52KBU_2023-04-14_final.stac-item
2023-05-22 12:15:13	ga_s2am_ard_3-2-1_49JGL_2023-05-22_final.stac-item
2023-06-29 11:32:03	ga_s2am_ard_3-2-1_51LWC_2023-06-29_final.stac-item
2023-07-25 11:55:43	ga_s2am_ard_3-2-1_50JMP_2023-07-25_final.stac-item
2023-09-23 11:57:11	ga_s2am_ard_3-2-1_50HLH_2023-09-23_final.stac-item
2023-10-27 11:35:37	ga_s2am_ard_3-2-1_50JQP_2023-10-27_final.stac-item
2023-12-21 10:46:20	ga_s2am_ard_3-2-1_53HLD_2023-12-21_final.stac-item
2024-01-23 10:52:52	ga_s2am_ard_3-2-1_52KHC_2024-01-23_final.stac-item
2024-02-23 12:04:26	ga_s2am_ard_3-2-1_49KHP_2024-02-23_final.stac-item
2024-02-28 11:16:07	ga_s2am_ard_3-2-1_51JYF_2024-02-28_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