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_51JZN_2015-10-23_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQH_2016-04-06_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51KZR_2016-05-30_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JDL_2016-09-14_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KGR_2016-10-05_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGK_2016-10-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51LWC_2016-12-22_final
2017-01-09 10:52:38	ga_s2am_ard_3-2-1_52JFN_2017-01-09_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KQA_2017-01-14_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51HWE_2017-04-28_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50JMM_2017-09-01_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGK_2017-09-07_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JDT_2017-11-08_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JQM_2017-12-10_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KXS_2018-01-13_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KYB_2018-02-15_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KTS_2018-02-18_final
2018-02-23 10:53:12	ga_s2am_ard_3-2-1_52JFM_2018-02-23_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KVB_2018-02-28_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JLT_2018-04-22_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUN_2018-06-05_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KWT_2018-07-15_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HLH_2018-07-28_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51HXD_2018-10-07_final
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51HUC_2018-10-30_final
2018-11-08 11:54:29	ga_s2am_ard_3-2-1_50JPT_2018-11-08_final
2018-11-13 11:04:42	ga_s2am_ard_3-2-1_52JER_2018-11-13_final
2018-12-06 11:14:21	ga_s2am_ard_3-2-1_51JYN_2018-12-06_final
2019-03-26 11:16:36	ga_s2am_ard_3-2-1_51HYD_2019-03-26_final
2019-04-11 11:33:36	ga_s2am_ard_3-2-1_51KUS_2019-04-11_final
2019-04-14 11:46:40	ga_s2am_ard_3-2-1_50HMK_2019-04-14_final
2019-04-18 11:23:31	ga_s2am_ard_3-2-1_51KXS_2019-04-18_final
2019-05-01 11:32:23	ga_s2am_ard_3-2-1_51KVB_2019-05-01_final
2019-05-31 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2019-05-31_final
2019-06-23 11:47:06	ga_s2am_ard_3-2-1_50HPH_2019-06-23_final
2019-08-28 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2019-08-28_final
2019-09-22 11:16:44	ga_s2am_ard_3-2-1_51HWD_2019-09-22_final
2020-01-06 11:32:20	ga_s2am_ard_3-2-1_51KXA_2020-01-06_final
2020-01-06 11:33:39	ga_s2am_ard_3-2-1_51KVR_2020-01-06_final
2020-01-23 11:24:37	ga_s2am_ard_3-2-1_52JBR_2020-01-23_final
2020-02-19 11:14:50	ga_s2am_ard_3-2-1_51JYL_2020-02-19_final
2020-02-22 11:25:33	ga_s2am_ard_3-2-1_51JXH_2020-02-22_final
2020-02-29 11:16:03	ga_s2am_ard_3-2-1_51JYF_2020-02-29_final
2020-03-03 11:22:22	ga_s2am_ard_3-2-1_51KYA_2020-03-03_final
2020-03-13 11:24:11	ga_s2am_ard_3-2-1_51KWP_2020-03-13_final
2020-04-22 11:26:33	ga_s2am_ard_3-2-1_51HUE_2020-04-22_final
2020-05-14 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2020-05-14_final.stac-item
2020-05-28 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-05-28_final
2020-08-08 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-08-08_final
2020-08-16 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-08-16_final
2020-12-21 11:33:11	ga_s2am_ard_3-2-1_51KWT_2020-12-21_final
2020-12-24 11:42:45	ga_s2am_ard_3-2-1_51KUV_2020-12-24_final
2021-02-02 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-02-02_final
2021-02-03 11:15:24	ga_s2am_ard_3-2-1_51JYJ_2021-02-03_final
2021-04-13 11:44:25	ga_s2am_ard_3-2-1_51JTN_2021-04-13_final
2021-07-29 11:33:34	ga_s2am_ard_3-2-1_51KVS_2021-07-29_final
2021-09-17 11:33:25	ga_s2am_ard_3-2-1_51KXS_2021-09-17_final
2021-10-11 11:15:53	ga_s2am_ard_3-2-1_52JCM_2021-10-11_final
2022-01-08 11:42:00	ga_s2am_ard_3-2-1_51LVC_2022-01-08_final
2022-01-09 11:13:27	ga_s2am_ard_3-2-1_52KBB_2022-01-09_final
2022-02-08 11:16:36	ga_s2am_ard_3-2-1_51HYD_2022-02-08_final
2022-03-03 11:23:23	ga_s2am_ard_3-2-1_51KZS_2022-03-03_final
2022-03-04 10:55:17	ga_s2am_ard_3-2-1_52JGP_2022-03-04_final
2022-03-23 11:24:29	ga_s2am_ard_3-2-1_51JXN_2022-03-23_final
2022-04-02 11:25:12	ga_s2am_ard_3-2-1_51JXK_2022-04-02_final
2022-04-08 11:43:25	ga_s2am_ard_3-2-1_51KVS_2022-04-08_final
2022-05-18 11:43:35	ga_s2am_ard_3-2-1_51KUS_2022-05-18_final
2022-05-19 11:15:01	ga_s2am_ard_3-2-1_51JYL_2022-05-19_final
2022-05-29 11:14:31	ga_s2am_ard_3-2-1_52JBT_2022-05-29_final
2022-06-08 11:13:22	ga_s2am_ard_3-2-1_52KBC_2022-06-08_final
2022-06-11 11:26:21	ga_s2am_ard_3-2-1_51JWF_2022-06-11_final
2022-06-17 11:44:46	ga_s2am_ard_3-2-1_50JQT_2022-06-17_final
2022-07-14 11:33:42	ga_s2am_ard_3-2-1_51KVS_2022-07-14_final
2022-08-22 12:06:08	ga_s2am_ard_3-2-1_50JKN_2022-08-22_final
2022-08-22 12:06:22	ga_s2am_ard_3-2-1_50JKM_2022-08-22_final
2022-09-29 11:23:42	ga_s2am_ard_3-2-1_52KBA_2022-09-29_final.stac-item
2022-10-19 11:25:36	ga_s2am_ard_3-2-1_51JYH_2022-10-19_final.stac-item
2022-11-21 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2022-11-21_final.stac-item
2022-12-17 13:31:33	ga_s2am_ard_3-2-1_46LHN_2022-12-17_interim.stac-item
2022-12-25 11:13:12	ga_s2am_ard_3-2-1_52KBC_2022-12-25_final.stac-item
2023-01-03 11:43:14	ga_s2am_ard_3-2-1_51KUT_2023-01-03_final.stac-item
2023-01-04 11:14:19	ga_s2am_ard_3-2-1_52JCT_2023-01-04_final.stac-item
2023-01-10 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-01-10_final.stac-item
2023-04-03 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-04-03_final.stac-item
2023-04-04 11:14:23	ga_s2am_ard_3-2-1_52JBT_2023-04-04_final.stac-item
2023-04-10 11:31:21	ga_s2am_ard_3-2-1_51LZE_2023-04-10_final.stac-item
2023-04-13 11:43:47	ga_s2am_ard_3-2-1_51KTR_2023-04-13_final.stac-item
2023-04-14 11:14:53	ga_s2am_ard_3-2-1_52JBR_2023-04-14_final.stac-item
2023-05-04 11:13:14	ga_s2am_ard_3-2-1_52KBC_2023-05-04_final.stac-item
2023-05-07 11:23:35	ga_s2am_ard_3-2-1_51KZR_2023-05-07_final.stac-item
2023-05-10 11:33:15	ga_s2am_ard_3-2-1_51KVT_2023-05-10_final.stac-item
2023-05-23 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2023-05-23_final.stac-item
2023-06-18 12:03:56	ga_s2am_ard_3-2-1_50KMA_2023-06-18_final.stac-item
2023-06-26 11:23:39	ga_s2am_ard_3-2-1_51KZR_2023-06-26_final.stac-item
2023-08-15 11:23:30	ga_s2am_ard_3-2-1_51KYS_2023-08-15_final.stac-item
2023-09-19 12:14:33	ga_s2am_ard_3-2-1_49KFP_2023-09-19_nrt.stac-item
2023-12-16 11:33:23	ga_s2am_ard_3-2-1_51KWS_2023-12-16_final.stac-item
2024-01-02 11:22:53	ga_s2am_ard_3-2-1_51KYU_2024-01-02_final.stac-item
2024-01-22 11:23:03	ga_s2am_ard_3-2-1_51KYT_2024-01-22_final.stac-item
2024-03-05 11:33:45	ga_s2am_ard_3-2-1_51KVR_2024-03-05_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