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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGJ_2015-12-17_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_50JQP_2016-02-19_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KXR_2016-05-16_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51JTJ_2016-05-29_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51KWA_2016-10-23_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KYU_2016-12-09_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51LYD_2016-12-12_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-02-12_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KUU_2017-02-13_final
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51LWG_2017-05-24_final.stac-item
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KXS_2017-07-30_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HUC_2018-02-02_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51LUE_2018-02-28_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_51KVT_2018-03-30_final
2018-04-20 11:15:50	ga_s2am_ard_3-2-1_51HWC_2018-04-20_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51LWG_2018-05-19_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52KEB_2018-06-19_final
2018-06-26 11:02:55	ga_s2am_ard_3-2-1_52KEB_2018-06-26_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_52KBV_2018-07-09_final
2018-07-16 10:57:17	ga_s2am_ard_3-2-1_52KEB_2018-07-16_final
2018-08-01 11:17:00	ga_s2am_ard_3-2-1_51KYU_2018-08-01_final
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51HWD_2018-10-10_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KWR_2018-11-02_final
2018-11-29 11:23:16	ga_s2am_ard_3-2-1_51KYS_2018-11-29_final
2018-12-12 11:33:08	ga_s2am_ard_3-2-1_51KVT_2018-12-12_final
2018-12-12 11:33:22	ga_s2am_ard_3-2-1_51KVS_2018-12-12_final
2019-01-21 11:32:58	ga_s2am_ard_3-2-1_51KVU_2019-01-21_final
2019-02-20 11:32:58	ga_s2am_ard_3-2-1_51KYT_2019-02-20_final
2019-03-02 11:32:09	ga_s2am_ard_3-2-1_51KWB_2019-03-02_final
2019-03-02 11:33:43	ga_s2am_ard_3-2-1_51KUR_2019-03-02_final
2019-04-04 11:46:13	ga_s2am_ard_3-2-1_50JMM_2019-04-04_final
2019-04-11 11:33:41	ga_s2am_ard_3-2-1_51KUS_2019-04-11_final
2019-04-14 11:43:24	ga_s2am_ard_3-2-1_50KQC_2019-04-14_final
2019-05-01 11:33:38	ga_s2am_ard_3-2-1_51KUS_2019-05-01_final
2019-05-04 11:43:33	ga_s2am_ard_3-2-1_51KUS_2019-05-04_final
2019-05-05 11:13:37	ga_s2am_ard_3-2-1_52KDA_2019-05-05_final
2019-09-22 11:16:20	ga_s2am_ard_3-2-1_52HBK_2019-09-22_final
2020-01-29 11:43:10	ga_s2am_ard_3-2-1_51KUT_2020-01-29_final
2020-01-30 11:13:44	ga_s2am_ard_3-2-1_52KCV_2020-01-30_final
2020-03-16 11:32:59	ga_s2am_ard_3-2-1_51KYT_2020-03-16_final
2020-04-22 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2020-04-22_final
2020-05-09 11:13:22	ga_s2am_ard_3-2-1_52KDB_2020-05-09_final
2020-05-15 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2020-05-15_final
2020-06-04 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-06-04_final
2020-07-27 11:43:10	ga_s2am_ard_3-2-1_50KRD_2020-07-27_final
2020-07-31 11:23:01	ga_s2am_ard_3-2-1_51KYU_2020-07-31_final
2020-08-26 11:41:24	ga_s2am_ard_3-2-1_51LUF_2020-08-26_final
2020-10-12 11:33:33	ga_s2am_ard_3-2-1_51KWS_2020-10-12_final
2020-10-25 11:42:26	ga_s2am_ard_3-2-1_51KWA_2020-10-25_final
2020-11-24 11:41:34	ga_s2am_ard_3-2-1_51LUE_2020-11-24_final
2021-01-07 11:23:54	ga_s2am_ard_3-2-1_51KYQ_2021-01-07_final
2021-01-10 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-01-10_final
2021-04-10 11:33:19	ga_s2am_ard_3-2-1_51KXS_2021-04-10_final
2021-05-10 11:33:44	ga_s2am_ard_3-2-1_51KVR_2021-05-10_final
2021-06-05 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-06-05_final
2021-07-20 11:05:55	ga_s2am_ard_3-2-1_52JCM_2021-07-20_final
2021-08-12 11:13:57	ga_s2am_ard_3-2-1_52KBV_2021-08-12_final
2021-09-07 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-09-07_final
2021-09-10 11:43:29	ga_s2am_ard_3-2-1_51KUS_2021-09-10_final
2021-09-20 11:42:45	ga_s2am_ard_3-2-1_51KVV_2021-09-20_final
2021-09-27 11:34:05	ga_s2am_ard_3-2-1_51KWP_2021-09-27_final
2021-10-04 11:23:40	ga_s2am_ard_3-2-1_51KZR_2021-10-04_final
2021-12-06 11:33:37	ga_s2am_ard_3-2-1_51KXR_2021-12-06_final
2022-01-22 11:22:19	ga_s2am_ard_3-2-1_52KCF_2022-01-22_final
2022-02-21 11:23:45	ga_s2am_ard_3-2-1_51KXR_2022-02-21_final
2022-03-24 10:56:03	ga_s2am_ard_3-2-1_52JFL_2022-03-24_final
2022-04-05 11:33:32	ga_s2am_ard_3-2-1_51KVS_2022-04-05_final
2022-04-18 11:41:37	ga_s2am_ard_3-2-1_51LUE_2022-04-18_final
2022-04-25 11:33:14	ga_s2am_ard_3-2-1_51KXT_2022-04-25_final
2022-05-02 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2022-05-02_final
2022-05-12 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2022-05-12_final
2022-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2022-05-17_final
2022-06-18 11:13:45	ga_s2am_ard_3-2-1_52KDA_2022-06-18_final
2022-07-04 11:33:22	ga_s2am_ard_3-2-1_51KXT_2022-07-04_final
2022-07-04 11:33:35	ga_s2am_ard_3-2-1_51KUT_2022-07-04_final
2022-07-14 11:37:30	ga_s2am_ard_3-2-1_50HQG_2022-07-14_final.stac-item
2022-09-02 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-09-02_final.stac-item
2022-09-12 11:33:49	ga_s2am_ard_3-2-1_51KXR_2022-09-12_final.stac-item
2022-11-01 11:32:59	ga_s2am_ard_3-2-1_51KXU_2022-11-01_final.stac-item
2022-11-05 11:13:17	ga_s2am_ard_3-2-1_52KBC_2022-11-05_final.stac-item
2022-11-17 11:52:39	ga_s2am_ard_3-2-1_50KPF_2022-11-17_final.stac-item
2022-12-11 11:32:55	ga_s2am_ard_3-2-1_51KXU_2022-12-11_final.stac-item
2022-12-24 11:43:23	ga_s2am_ard_3-2-1_51KVS_2022-12-24_final.stac-item
2022-12-28 11:21:53	ga_s2am_ard_3-2-1_51LZC_2022-12-28_final.stac-item
2023-01-13 11:43:22	ga_s2am_ard_3-2-1_51KVS_2023-01-13_final.stac-item
2023-01-17 11:26:32	ga_s2am_ard_3-2-1_51HXD_2023-01-17_final.stac-item
2023-03-14 11:41:29	ga_s2am_ard_3-2-1_51LUE_2023-03-14_final.stac-item
2023-03-31 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2023-03-31_final.stac-item
2023-04-27 11:24:08	ga_s2am_ard_3-2-1_51KYP_2023-04-27_final.stac-item
2023-05-10 11:33:08	ga_s2am_ard_3-2-1_51KXT_2023-05-10_final.stac-item
2023-05-10 11:33:30	ga_s2am_ard_3-2-1_51KVS_2023-05-10_final.stac-item
2023-05-20 11:32:57	ga_s2am_ard_3-2-1_51KXU_2023-05-20_final.stac-item
2023-08-05 11:23:40	ga_s2am_ard_3-2-1_51KZR_2023-08-05_final.stac-item
2023-08-25 11:23:34	ga_s2am_ard_3-2-1_51KXS_2023-08-25_final.stac-item
2023-10-10 11:43:28	ga_s2am_ard_3-2-1_51KUS_2023-10-10_final.stac-item
2023-11-23 11:23:06	ga_s2am_ard_3-2-1_51KYT_2023-11-23_final.stac-item
2023-12-16 11:32:54	ga_s2am_ard_3-2-1_51KWU_2023-12-16_final.stac-item
2024-01-18 11:42:54	ga_s2am_ard_3-2-1_51KTU_2024-01-18_final.stac-item
2024-04-04 11:33:28	ga_s2am_ard_3-2-1_51KVS_2024-04-04_final.stac-item
2024-05-17 11:41:35	ga_s2am_ard_3-2-1_51LUE_2024-05-17_nrt.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