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
2015-11-24 11:56:24	ga_s2am_ard_3-2-1_50JLL_2015-11-24_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JVK_2016-04-06_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KVT_2016-06-18_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JXF_2016-07-09_final.stac-item
2016-09-22 12:03:42	ga_s2am_ard_3-2-1_50KMV_2016-09-22_final.stac-item
2016-10-20 11:26:04	ga_s2am_ard_3-2-1_51JVF_2016-10-20_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JVK_2016-12-12_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_50KKB_2017-02-02_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JNL_2017-03-18_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JQP_2017-03-25_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51KYS_2017-06-27_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JGK_2017-09-20_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWT_2017-12-17_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JYM_2018-02-02_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGK_2018-04-15_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JTJ_2018-06-05_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51JYL_2018-06-09_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKN_2018-07-04_final
2018-07-22 11:17:00	ga_s2am_ard_3-2-1_51KXS_2018-07-22_final
2018-08-01 11:23:55	ga_s2am_ard_3-2-1_51KWQ_2018-08-01_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_50KMU_2018-08-13_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51KVT_2018-10-03_final
2018-11-11 12:05:24	ga_s2am_ard_3-2-1_49JGK_2018-11-11_final
2019-05-21 11:33:06	ga_s2am_ard_3-2-1_51KYT_2019-05-21_final
2019-05-21 11:33:37	ga_s2am_ard_3-2-1_51KUS_2019-05-21_final
2019-05-28 11:22:59	ga_s2am_ard_3-2-1_51KYU_2019-05-28_final
2019-07-10 11:33:39	ga_s2am_ard_3-2-1_51KUS_2019-07-10_final
2019-07-10 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2019-07-10_final
2019-07-23 11:46:35	ga_s2am_ard_3-2-1_50HQK_2019-07-23_final
2019-08-16 11:25:34	ga_s2am_ard_3-2-1_51JVJ_2019-08-16_final
2019-09-11 11:42:44	ga_s2am_ard_3-2-1_51KUV_2019-09-11_final
2020-01-09 11:44:47	ga_s2am_ard_3-2-1_50JPS_2020-01-09_final
2020-01-13 11:22:50	ga_s2am_ard_3-2-1_51KYU_2020-01-13_final
2020-01-13 11:25:07	ga_s2am_ard_3-2-1_51JWK_2020-01-13_final
2020-02-05 11:32:35	ga_s2am_ard_3-2-1_51KWV_2020-02-05_final
2020-02-12 11:23:28	ga_s2am_ard_3-2-1_51KZR_2020-02-12_final
2020-04-05 11:33:00	ga_s2am_ard_3-2-1_51KWU_2020-04-05_final
2020-05-12 11:26:52	ga_s2am_ard_3-2-1_51HUD_2020-05-12_final
2020-05-25 11:35:32	ga_s2am_ard_3-2-1_51JVJ_2020-05-25_final
2020-05-28 11:42:05	ga_s2am_ard_3-2-1_51LVC_2020-05-28_final
2020-06-13 12:05:15	ga_s2am_ard_3-2-1_49JFM_2020-06-13_final
2020-06-14 11:33:08	ga_s2am_ard_3-2-1_51KVU_2020-06-14_final
2020-07-01 11:23:26	ga_s2am_ard_3-2-1_51KZS_2020-07-01_final
2020-07-04 11:33:07	ga_s2am_ard_3-2-1_51KXT_2020-07-04_final
2020-07-14 11:33:03	ga_s2am_ard_3-2-1_51KWU_2020-07-14_final
2020-08-03 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-08-03_final
2020-09-22 11:33:18	ga_s2am_ard_3-2-1_51KXT_2020-09-22_final
2020-10-09 11:23:34	ga_s2am_ard_3-2-1_51KXS_2020-10-09_final
2020-10-19 11:25:58	ga_s2am_ard_3-2-1_51JXG_2020-10-19_final
2020-12-01 11:33:12	ga_s2am_ard_3-2-1_51KWT_2020-12-01_final
2021-03-05 11:16:26	ga_s2am_ard_3-2-1_51HXE_2021-03-05_final
2021-06-02 11:43:37	ga_s2am_ard_3-2-1_50KQB_2021-06-02_final
2021-06-09 11:36:03	ga_s2am_ard_3-2-1_51JTG_2021-06-09_final
2021-08-01 11:43:28	ga_s2am_ard_3-2-1_51KVS_2021-08-01_final
2021-08-18 11:33:18	ga_s2am_ard_3-2-1_51KVT_2021-08-18_final
2021-08-18 11:33:44	ga_s2am_ard_3-2-1_51KWR_2021-08-18_final
2021-08-24 11:56:32	ga_s2am_ard_3-2-1_50HNK_2021-08-24_final
2021-08-27 12:05:57	ga_s2am_ard_3-2-1_50JKN_2021-08-27_final
2021-08-28 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-08-28_final
2021-09-16 12:05:57	ga_s2am_ard_3-2-1_50JKN_2021-09-16_final
2021-10-16 12:05:21	ga_s2am_ard_3-2-1_50JKR_2021-10-16_final
2021-11-23 11:26:58	ga_s2am_ard_3-2-1_51HVC_2021-11-23_final
2021-11-26 11:31:21	ga_s2am_ard_3-2-1_51LZE_2021-11-26_final
2021-12-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-12-06_final
2022-01-08 11:43:26	ga_s2am_ard_3-2-1_51KVS_2022-01-08_final
2022-03-25 12:04:49	ga_s2am_ard_3-2-1_49JGN_2022-03-25_final
2022-03-26 11:33:18	ga_s2am_ard_3-2-1_51KVT_2022-03-26_final
2022-05-15 11:33:35	ga_s2am_ard_3-2-1_51KVS_2022-05-15_final
2022-05-18 11:44:40	ga_s2am_ard_3-2-1_50JQT_2022-05-18_final
2022-05-24 12:05:51	ga_s2am_ard_3-2-1_49JGJ_2022-05-24_final
2022-06-10 11:56:46	ga_s2am_ard_3-2-1_50HMK_2022-06-10_final
2022-06-17 11:44:42	ga_s2am_ard_3-2-1_50JRT_2022-06-17_final
2022-07-17 11:42:58	ga_s2am_ard_3-2-1_51KUV_2022-07-17_final
2022-07-24 11:33:01	ga_s2am_ard_3-2-1_51KYU_2022-07-24_final
2022-08-16 11:43:24	ga_s2am_ard_3-2-1_51KVT_2022-08-16_final
2022-08-17 11:16:32	ga_s2am_ard_3-2-1_52HBK_2022-08-17_final
2022-10-28 13:31:38	ga_s2am_ard_3-2-1_46LHN_2022-10-28_interim.stac-item
2022-11-14 13:21:41	ga_s2am_ard_3-2-1_47LKH_2022-11-14_interim.stac-item
2022-12-24 11:43:13	ga_s2am_ard_3-2-1_51KUT_2022-12-24_final.stac-item
2023-01-07 11:22:40	ga_s2am_ard_3-2-1_51KYV_2023-01-07_final.stac-item
2023-01-07 11:27:00	ga_s2am_ard_3-2-1_51HUC_2023-01-07_final.stac-item
2023-02-03 11:16:39	ga_s2am_ard_3-2-1_51HXD_2023-02-03_final.stac-item
2023-02-09 11:32:53	ga_s2am_ard_3-2-1_51KXU_2023-02-09_final.stac-item
2023-03-31 11:35:14	ga_s2am_ard_3-2-1_51JUK_2023-03-31_final.stac-item
2023-04-03 11:42:59	ga_s2am_ard_3-2-1_51KUU_2023-04-03_final.stac-item
2023-04-06 11:56:18	ga_s2am_ard_3-2-1_50JNL_2023-04-06_final.stac-item
2023-05-07 11:23:39	ga_s2am_ard_3-2-1_51KYR_2023-05-07_final.stac-item
2023-05-13 11:43:14	ga_s2am_ard_3-2-1_51KUT_2023-05-13_final.stac-item
2023-06-09 11:33:13	ga_s2am_ard_3-2-1_51KXT_2023-06-09_final.stac-item
2023-06-19 11:35:37	ga_s2am_ard_3-2-1_51JTJ_2023-06-19_final.stac-item
2023-07-28 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2023-07-28_final.stac-item
2023-08-08 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2023-08-08_final.stac-item
2023-11-13 11:23:27	ga_s2am_ard_3-2-1_51KXS_2023-11-13_final.stac-item
2024-01-01 11:57:11	ga_s2am_ard_3-2-1_49HGC_2024-01-01_nrt.stac-item
2024-01-28 11:42:08	ga_s2am_ard_3-2-1_51KVB_2024-01-28_final.stac-item
2024-02-14 11:32:26	ga_s2am_ard_3-2-1_51KWA_2024-02-14_final.stac-item
2024-03-08 11:43:04	ga_s2am_ard_3-2-1_51KTU_2024-03-08_final.stac-item
2024-04-07 11:41:54	ga_s2am_ard_3-2-1_51LWC_2024-04-07_final.stac-item
2024-05-01 11:23:09	ga_s2am_ard_3-2-1_51KZT_2024-05-01_final.stac-item
2024-05-21 11:23:14	ga_s2am_ard_3-2-1_51KXT_2024-05-21_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