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
2015-08-18 10:54:45	ga_s2am_ard_3-2-1_52JFL_2015-08-18_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_52KBD_2016-01-24_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JEN_2016-03-28_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51LWC_2016-05-09_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52KDD_2016-05-10_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KUR_2016-05-29_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKR_2016-06-04_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGL_2016-06-07_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JQL_2016-07-08_final.stac-item
2016-08-08 11:12:18	ga_s2am_ard_3-2-1_51KZP_2016-08-08_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51KVS_2016-09-26_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JUG_2016-12-12_final
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_52KDF_2017-03-26_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KVB_2017-11-07_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_52KCF_2017-11-21_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52HBK_2017-12-18_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52JCP_2017-12-31_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_52KBB_2018-01-13_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51LWC_2018-01-26_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51JYL_2018-02-12_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKP_2018-03-16_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51JYG_2018-03-21_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLP_2018-05-02_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KWR_2018-05-26_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51HUD_2018-08-31_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_52JCL_2018-10-27_final
2018-10-30 11:16:56	ga_s2am_ard_3-2-1_51KXU_2018-10-30_final
2018-12-11 12:05:35	ga_s2am_ard_3-2-1_49JGJ_2018-12-11_final
2019-03-02 11:32:42	ga_s2am_ard_3-2-1_51KVV_2019-03-02_final
2019-03-02 11:32:50	ga_s2am_ard_3-2-1_51KXU_2019-03-02_final
2019-04-21 11:33:33	ga_s2am_ard_3-2-1_51KVS_2019-04-21_final
2019-05-18 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-05-18_final
2019-06-26 11:56:22	ga_s2am_ard_3-2-1_50JNL_2019-06-26_final
2019-08-15 11:53:20	ga_s2am_ard_3-2-1_50KQC_2019-08-15_final
2019-10-18 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-10-18_final
2019-11-25 10:55:46	ga_s2am_ard_3-2-1_52JFM_2019-11-25_final
2020-01-16 11:32:23	ga_s2am_ard_3-2-1_51KWA_2020-01-16_final
2020-03-06 11:33:48	ga_s2am_ard_3-2-1_51KXQ_2020-03-06_final
2020-03-26 11:33:27	ga_s2am_ard_3-2-1_51KVS_2020-03-26_final
2020-04-12 11:23:19	ga_s2am_ard_3-2-1_52KBB_2020-04-12_final
2020-05-28 11:42:15	ga_s2am_ard_3-2-1_51KWB_2020-05-28_final
2020-07-03 12:04:47	ga_s2am_ard_3-2-1_49JHN_2020-07-03_final
2020-09-11 12:03:23	ga_s2am_ard_3-2-1_50KNC_2020-09-11_final
2020-09-15 11:45:04	ga_s2am_ard_3-2-1_51JTL_2020-09-15_final
2020-10-16 11:13:24	ga_s2am_ard_3-2-1_52KDB_2020-10-16_final
2020-10-28 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-10-28_final
2020-11-18 11:24:35	ga_s2am_ard_3-2-1_52JBS_2020-11-18_final
2020-12-08 11:21:58	ga_s2am_ard_3-2-1_52KDG_2020-12-08_final
2021-01-20 11:32:01	ga_s2am_ard_3-2-1_51LWC_2021-01-20_final
2021-01-24 11:15:19	ga_s2am_ard_3-2-1_52JCP_2021-01-24_final
2021-02-12 11:44:33	ga_s2am_ard_3-2-1_50JQT_2021-02-12_final
2021-06-09 11:34:18	ga_s2am_ard_3-2-1_51KUP_2021-06-09_final
2021-06-09 11:35:51	ga_s2am_ard_3-2-1_50JQN_2021-06-09_final
2021-06-13 11:13:48	ga_s2am_ard_3-2-1_52KDV_2021-06-13_final
2021-06-15 11:56:14	ga_s2am_ard_3-2-1_50JKM_2021-06-15_final
2021-06-23 11:16:13	ga_s2am_ard_3-2-1_51JXF_2021-06-23_final
2021-07-02 11:42:30	ga_s2am_ard_3-2-1_51KVA_2021-07-02_final
2021-08-01 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2021-08-01_final
2021-09-26 12:06:13	ga_s2am_ard_3-2-1_50JKM_2021-09-26_final
2021-10-07 11:36:39	ga_s2am_ard_3-2-1_50HQK_2021-10-07_final
2021-10-16 12:05:22	ga_s2am_ard_3-2-1_49JGL_2021-10-16_final
2021-11-03 11:22:03	ga_s2am_ard_3-2-1_51LYC_2021-11-03_final
2021-11-29 11:41:33	ga_s2am_ard_3-2-1_51LUE_2021-11-29_final
2021-12-14 10:55:45	ga_s2am_ard_3-2-1_52JFM_2021-12-14_final
2022-01-15 11:33:39	ga_s2am_ard_3-2-1_51KXR_2022-01-15_final
2022-01-18 11:43:00	ga_s2am_ard_3-2-1_51KUU_2022-01-18_final
2022-02-14 11:33:16	ga_s2am_ard_3-2-1_51KVT_2022-02-14_final
2022-02-20 11:53:12	ga_s2am_ard_3-2-1_50KRC_2022-02-20_final
2022-03-22 11:54:12	ga_s2am_ard_3-2-1_50KPV_2022-03-22_final
2022-04-17 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-04-17_final
2022-04-23 10:55:32	ga_s2am_ard_3-2-1_52JGN_2022-04-23_final
2022-06-10 11:56:20	ga_s2am_ard_3-2-1_50JLM_2022-06-10_final
2022-06-21 11:21:44	ga_s2am_ard_3-2-1_52LDJ_2022-06-21_final
2022-07-28 11:15:20	ga_s2am_ard_3-2-1_51JYK_2022-07-28_final
2022-08-04 11:03:52	ga_s2am_ard_3-2-1_52KGV_2022-08-04_final
2022-08-17 11:16:00	ga_s2am_ard_3-2-1_52JCM_2022-08-17_final
2022-10-04 12:14:01	ga_s2am_ard_3-2-1_50KKA_2022-10-04_final.stac-item
2022-10-25 11:46:08	ga_s2am_ard_3-2-1_50JPM_2022-10-25_final.stac-item
2022-11-01 11:36:14	ga_s2am_ard_3-2-1_51JVF_2022-11-01_final.stac-item
2022-11-25 11:13:49	ga_s2am_ard_3-2-1_52KCV_2022-11-25_final.stac-item
2023-01-03 11:46:12	ga_s2am_ard_3-2-1_50JMM_2023-01-03_final.stac-item
2023-01-04 11:11:11	ga_s2am_ard_3-2-1_52LGK_2023-01-04_final.stac-item
2023-01-26 11:57:09	ga_s2am_ard_3-2-1_50HKH_2023-01-26_nrt.stac-item
2023-02-20 11:01:43	ga_s2am_ard_3-2-1_52LGH_2023-02-20_final.stac-item
2023-02-26 11:23:25	ga_s2am_ard_3-2-1_52KCA_2023-02-26_final.stac-item
2023-03-02 11:06:32	ga_s2am_ard_3-2-1_52HBJ_2023-03-02_final.stac-item
2023-04-11 11:06:35	ga_s2am_ard_3-2-1_52HBJ_2023-04-11_final.stac-item
2023-04-13 11:44:02	ga_s2am_ard_3-2-1_50KRV_2023-04-13_final.stac-item
2023-05-06 11:55:59	ga_s2am_ard_3-2-1_50JKN_2023-05-06_final.stac-item
2023-07-19 11:33:06	ga_s2am_ard_3-2-1_51KYT_2023-07-19_final.stac-item
2023-07-19 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-07-19_final.stac-item
2023-08-27 12:03:50	ga_s2am_ard_3-2-1_50KKB_2023-08-27_final.stac-item
2024-01-22 11:22:55	ga_s2am_ard_3-2-1_52KCC_2024-01-22_final.stac-item
2024-02-04 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2024-02-04_final.stac-item
2024-03-02 11:22:23	ga_s2am_ard_3-2-1_52KBF_2024-03-02_final.stac-item
2024-03-18 11:45:18	ga_s2am_ard_3-2-1_50JQQ_2024-03-18_final.stac-item
2024-04-04 11:31:57	ga_s2am_ard_3-2-1_51LWC_2024-04-04_final.stac-item
2024-04-08 11:15:21	ga_s2am_ard_3-2-1_52JBP_2024-04-08_final.stac-item
2024-04-09 10:46:00	ga_s2am_ard_3-2-1_52JGL_2024-04-09_final.stac-item
2024-04-18 11:11:30	ga_s2am_ard_3-2-1_52LGJ_2024-04-18_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