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
2015-08-22 10:34:11	ga_s2am_ard_3-2-1_53JPL_2015-08-22_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51KVT_2016-03-07_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KUT_2016-06-18_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_51KTU_2016-10-26_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KWT_2017-01-01_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KWS_2017-06-20_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_50JPL_2017-09-08_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KWR_2018-03-07_final
2018-03-17 11:26:39	ga_s2am_ard_3-2-1_51KXU_2018-03-17_final
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51KXV_2018-06-15_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HPG_2018-06-25_final.stac-item
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KWS_2018-07-25_final
2018-07-30 10:37:28	ga_s2am_ard_3-2-1_53JKF_2018-07-30_final
2018-09-10 11:16:56	ga_s2am_ard_3-2-1_51LZE_2018-09-10_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLJ_2018-10-29_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KWR_2018-11-02_final
2018-12-22 11:33:22	ga_s2am_ard_3-2-1_51KVS_2018-12-22_final
2019-01-21 11:33:38	ga_s2am_ard_3-2-1_51KWR_2019-01-21_final
2019-02-03 11:42:24	ga_s2am_ard_3-2-1_51KVA_2019-02-03_final
2019-03-19 11:23:07	ga_s2am_ard_3-2-1_51KYT_2019-03-19_final
2019-04-05 11:13:20	ga_s2am_ard_3-2-1_52KDB_2019-04-05_final
2019-04-05 11:13:27	ga_s2am_ard_3-2-1_52KEA_2019-04-05_final
2019-05-01 11:33:38	ga_s2am_ard_3-2-1_51KUS_2019-05-01_final
2019-05-11 11:33:45	ga_s2am_ard_3-2-1_51KWR_2019-05-11_final
2019-08-25 11:52:21	ga_s2am_ard_3-2-1_50KQG_2019-08-25_final.stac-item
2019-10-20 12:13:43	ga_s2am_ard_3-2-1_50KKB_2019-10-20_final
2019-10-28 11:33:27	ga_s2am_ard_3-2-1_51KXS_2019-10-28_final
2019-10-28 11:33:30	ga_s2am_ard_3-2-1_51KWS_2019-10-28_final
2019-10-31 11:43:06	ga_s2am_ard_3-2-1_51KTU_2019-10-31_final
2019-11-17 11:33:47	ga_s2am_ard_3-2-1_51KVR_2019-11-17_final
2019-11-19 12:13:41	ga_s2am_ard_3-2-1_50KKB_2019-11-19_final
2019-11-27 11:32:50	ga_s2am_ard_3-2-1_51KYU_2019-11-27_final
2020-01-02 11:57:04	ga_s2am_ard_3-2-1_50HLH_2020-01-02_final
2020-01-03 11:22:46	ga_s2am_ard_3-2-1_52KBD_2020-01-03_final
2020-01-09 11:45:23	ga_s2am_ard_3-2-1_51JTJ_2020-01-09_final
2020-01-23 11:23:21	ga_s2am_ard_3-2-1_51KXS_2020-01-23_final
2020-02-04 10:26:38	ga_s2am_ard_3-2-1_53HQB_2020-02-04_final
2020-03-19 11:47:06	ga_s2am_ard_3-2-1_50HMH_2020-03-19_final
2020-04-17 10:34:36	ga_s2am_ard_3-2-1_53JPL_2020-04-17_final
2020-04-27 10:36:34	ga_s2am_ard_3-2-1_53HPC_2020-04-27_final
2020-05-12 11:21:37	ga_s2am_ard_3-2-1_52LDJ_2020-05-12_final
2020-05-31 11:56:02	ga_s2am_ard_3-2-1_50JLN_2020-05-31_final
2020-06-11 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2020-06-11_final
2020-10-02 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2020-10-02_final
2020-11-01 11:35:46	ga_s2am_ard_3-2-1_51JVH_2020-11-01_final
2020-11-03 10:34:26	ga_s2am_ard_3-2-1_53JPM_2020-11-03_final
2020-11-18 11:23:09	ga_s2am_ard_3-2-1_52KBC_2020-11-18_final
2021-01-07 11:23:07	ga_s2am_ard_3-2-1_51KZT_2021-01-07_final
2021-01-13 11:43:36	ga_s2am_ard_3-2-1_51KVR_2021-01-13_final
2021-02-06 11:23:26	ga_s2am_ard_3-2-1_52KCA_2021-02-06_final
2021-03-04 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-03-04_final
2021-04-06 11:55:52	ga_s2am_ard_3-2-1_50JLN_2021-04-06_final
2021-04-10 11:33:22	ga_s2am_ard_3-2-1_51KWS_2021-04-10_final
2021-04-10 11:36:53	ga_s2am_ard_3-2-1_51HUC_2021-04-10_final
2021-05-10 11:33:08	ga_s2am_ard_3-2-1_51KXT_2021-05-10_final
2021-05-11 11:03:19	ga_s2am_ard_3-2-1_52KEB_2021-05-11_final
2021-05-13 11:42:16	ga_s2am_ard_3-2-1_51KUB_2021-05-13_final.stac-item
2021-05-27 11:23:07	ga_s2am_ard_3-2-1_51KZT_2021-05-27_final
2021-06-03 11:13:20	ga_s2am_ard_3-2-1_52KDB_2021-06-03_final
2021-07-10 11:03:37	ga_s2am_ard_3-2-1_52KEA_2021-07-10_final
2021-07-20 11:03:02	ga_s2am_ard_3-2-1_52KGC_2021-07-20_final
2021-07-23 11:13:11	ga_s2am_ard_3-2-1_52KCC_2021-07-23_final
2021-09-03 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-09-03_final.stac-item
2021-09-25 10:54:41	ga_s2am_ard_3-2-1_53JLL_2021-09-25_final
2021-10-03 11:55:58	ga_s2am_ard_3-2-1_50JMN_2021-10-03_final
2021-11-03 11:23:47	ga_s2am_ard_3-2-1_51KXR_2021-11-03_final
2021-11-19 11:40:57	ga_s2am_ard_3-2-1_51LWG_2021-11-19_final.stac-item
2021-12-09 11:42:44	ga_s2am_ard_3-2-1_51KUV_2021-12-09_final
2022-01-30 10:44:17	ga_s2am_ard_3-2-1_53JPM_2022-01-30_final
2022-02-07 11:43:00	ga_s2am_ard_3-2-1_51KUU_2022-02-07_final
2022-02-28 11:12:24	ga_s2am_ard_3-2-1_52KDF_2022-02-28_final
2022-04-19 11:13:59	ga_s2am_ard_3-2-1_52KBV_2022-04-19_final
2022-05-18 11:47:22	ga_s2am_ard_3-2-1_50HPG_2022-05-18_final.stac-item
2022-08-10 11:26:56	ga_s2am_ard_3-2-1_51HVD_2022-08-10_final
2022-09-25 11:43:36	ga_s2am_ard_3-2-1_51KUS_2022-09-25_final.stac-item
2022-11-01 11:33:31	ga_s2am_ard_3-2-1_51KWS_2022-11-01_final.stac-item
2022-11-01 11:33:34	ga_s2am_ard_3-2-1_51KVS_2022-11-01_final.stac-item
2022-12-15 11:13:36	ga_s2am_ard_3-2-1_52KCA_2022-12-15_final.stac-item
2022-12-26 10:45:49	ga_s2am_ard_3-2-1_53JKF_2022-12-26_final.stac-item
2023-01-30 11:32:35	ga_s2am_ard_3-2-1_51KYV_2023-01-30_final.stac-item
2023-02-06 11:24:03	ga_s2am_ard_3-2-1_52KBU_2023-02-06_final.stac-item
2023-02-22 11:41:30	ga_s2am_ard_3-2-1_51LUE_2023-02-22_final.stac-item
2023-02-26 11:23:04	ga_s2am_ard_3-2-1_51KZT_2023-02-26_final.stac-item
2023-06-13 11:13:43	ga_s2am_ard_3-2-1_52KBA_2023-06-13_final.stac-item
2023-07-26 11:24:09	ga_s2am_ard_3-2-1_52KBU_2023-07-26_final.stac-item
2023-08-05 11:24:48	ga_s2am_ard_3-2-1_52JBR_2023-08-05_final.stac-item
2023-08-11 11:41:23	ga_s2am_ard_3-2-1_51LUF_2023-08-11_final.stac-item
2023-08-21 11:43:17	ga_s2am_ard_3-2-1_51KVT_2023-08-21_final.stac-item
2023-10-21 11:13:30	ga_s2am_ard_3-2-1_52KEA_2023-10-21_final.stac-item
2023-11-16 11:33:14	ga_s2am_ard_3-2-1_51KVT_2023-11-16_final.stac-item
2023-11-21 10:45:40	ga_s2am_ard_3-2-1_53JKG_2023-11-21_final.stac-item
2023-12-29 11:42:54	ga_s2am_ard_3-2-1_51KVU_2023-12-29_final.stac-item
2024-01-09 11:13:03	ga_s2am_ard_3-2-1_52KEB_2024-01-09_final.stac-item
2024-01-28 11:42:58	ga_s2am_ard_3-2-1_51KTU_2024-01-28_final.stac-item
2024-03-05 11:32:44	ga_s2am_ard_3-2-1_51KWV_2024-03-05_final.stac-item
2024-03-16 11:00:48	ga_s2am_ard_3-2-1_52LGM_2024-03-16_final.stac-item
2024-04-21 11:22:55	ga_s2am_ard_3-2-1_52KBD_2024-04-21_final.stac-item
2024-05-01 11:23:46	ga_s2am_ard_3-2-1_51KXR_2024-05-01_final.stac-item
2024-05-11 11:22:59	ga_s2am_ard_3-2-1_51KYU_2024-05-11_final.stac-item
2024-05-18 11:13:50	ga_s2am_ard_3-2-1_52KDV_2024-05-18_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