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

92 results

Time (local)	Label
2015-08-11 11:01:09	ga_s2am_ard_3-2-1_52LHJ_2015-08-11_final.stac-item
2015-08-29 10:22:03	ga_s2am_ard_3-2-1_54KWD_2015-08-29_final.stac-item
2016-05-13 09:42:18	ga_s2am_ard_3-2-1_55JGK_2016-05-13_final.stac-item
2016-05-28 10:28:07	ga_s2am_ard_3-2-1_54KTD_2016-05-28_final.stac-item
2016-07-03 10:48:21	ga_s2am_ard_3-2-1_52JGR_2016-07-03_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JKQ_2016-08-23_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2016-09-12_final.stac-item
2016-09-26 10:00:28	ga_s2am_ard_3-2-1_55KCU_2016-09-26_final.stac-item
2016-10-29 10:10:55	ga_s2am_ard_3-2-1_54KZC_2016-10-29_final.stac-item
2017-01-27 10:12:43	ga_s2am_ard_3-2-1_54JXR_2017-01-27_final
2017-02-07 09:42:07	ga_s2am_ard_3-2-1_55JGK_2017-02-07_final.stac-item
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_54HYK_2017-02-23_final
2017-05-20 10:23:10	ga_s2am_ard_3-2-1_54JVT_2017-05-20_final
2017-08-15 10:13:18	ga_s2am_ard_3-2-1_54JWQ_2017-08-15_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JHN_2017-12-16_final
2018-04-03 09:41:08	ga_s2am_ard_3-2-1_55JFJ_2018-04-03_final
2018-05-16 09:50:57	ga_s2am_ard_3-2-1_55JCG_2018-05-16_final
2018-05-18 10:27:10	ga_s2am_ard_3-2-1_54KTD_2018-05-18_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KTP_2018-05-29_final
2018-07-04 10:17:07	ga_s2am_ard_3-2-1_54KWE_2018-07-04_final
2018-09-02 10:17:04	ga_s2am_ard_3-2-1_54KWE_2018-09-02_final
2018-09-07 11:07:10	ga_s2am_ard_3-2-1_52KED_2018-09-07_final
2018-09-08 10:37:24	ga_s2am_ard_3-2-1_53KNS_2018-09-08_final
2018-10-09 10:07:01	ga_s2am_ard_3-2-1_55KBU_2018-10-09_final
2018-10-19 10:07:01	ga_s2am_ard_3-2-1_54JXQ_2018-10-19_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50KPA_2018-10-19_final
2018-11-11 10:24:08	ga_s2am_ard_3-2-1_54JVS_2018-11-11_final
2018-11-18 10:16:07	ga_s2am_ard_3-2-1_54HVJ_2018-11-18_final
2019-01-01 09:55:15	ga_s2am_ard_3-2-1_55JCG_2019-01-01_final
2019-04-15 11:12:49	ga_s2am_ard_3-2-1_52KED_2019-04-15_final
2019-04-18 09:44:31	ga_s2am_ard_3-2-1_55JGK_2019-04-18_final
2019-05-07 11:53:57	ga_s2am_ard_3-2-1_50KNA_2019-05-07_final
2019-05-11 09:54:09	ga_s2am_ard_3-2-1_55JDM_2019-05-11_final
2019-05-15 11:12:50	ga_s2am_ard_3-2-1_52KED_2019-05-15_final
2019-06-02 10:32:32	ga_s2am_ard_3-2-1_54KUD_2019-06-02_final
2019-06-02 10:34:06	ga_s2am_ard_3-2-1_53JQN_2019-06-02_final
2019-07-20 09:55:55	ga_s2am_ard_3-2-1_55HCE_2019-07-20_final
2019-09-05 09:45:29	ga_s2am_ard_3-2-1_55JFF_2019-09-05_final
2019-09-14 11:54:03	ga_s2am_ard_3-2-1_50KPV_2019-09-14_final
2019-10-02 11:12:05	ga_s2am_ard_3-2-1_52KEG_2019-10-02_final
2019-11-03 11:55:09	ga_s2am_ard_3-2-1_50JNR_2019-11-03_final
2020-02-05 11:34:38	ga_s2am_ard_3-2-1_51JUM_2020-02-05_final
2020-02-28 10:03:45	ga_s2am_ard_3-2-1_55JCN_2020-02-28_final
2020-03-18 10:33:13	ga_s2am_ard_3-2-1_53KRR_2020-03-18_final
2020-03-19 10:04:03	ga_s2am_ard_3-2-1_54JZS_2020-03-19_final
2020-03-28 10:34:00	ga_s2am_ard_3-2-1_53JQN_2020-03-28_final
2020-04-30 10:42:42	ga_s2am_ard_3-2-1_53KNU_2020-04-30_final
2020-06-05 11:06:24	ga_s2am_ard_3-2-1_52HDK_2020-06-05_final.stac-item
2020-06-17 10:04:28	ga_s2am_ard_3-2-1_55JBL_2020-06-17_final
2020-07-10 10:14:17	ga_s2am_ard_3-2-1_54JWS_2020-07-10_final
2020-07-15 11:01:18	ga_s2am_ard_3-2-1_52LHK_2020-07-15_final
2020-07-16 10:34:08	ga_s2am_ard_3-2-1_53JQN_2020-07-16_final
2020-07-21 11:26:02	ga_s2am_ard_3-2-1_51JWG_2020-07-21_final
2020-07-26 10:33:08	ga_s2am_ard_3-2-1_53KRS_2020-07-26_final
2020-10-12 09:53:09	ga_s2am_ard_3-2-1_55KER_2020-10-12_final
2020-11-04 10:03:54	ga_s2am_ard_3-2-1_55JCN_2020-11-04_final
2020-11-04 10:04:41	ga_s2am_ard_3-2-1_55JBK_2020-11-04_final
2020-11-07 10:12:40	ga_s2am_ard_3-2-1_54KZC_2020-11-07_final
2020-11-08 11:26:30	ga_s2am_ard_3-2-1_51HWE_2020-11-08_final
2020-11-27 11:53:40	ga_s2am_ard_3-2-1_50KNB_2020-11-27_final
2021-03-04 10:03:35	ga_s2am_ard_3-2-1_55KCP_2021-03-04_final
2021-03-16 10:44:38	ga_s2am_ard_3-2-1_53JML_2021-03-16_final
2021-05-17 09:44:46	ga_s2am_ard_3-2-1_55JFJ_2021-05-17_final
2021-07-31 10:33:20	ga_s2am_ard_3-2-1_54KTA_2021-07-31_final
2021-08-07 10:22:34	ga_s2am_ard_3-2-1_54KVD_2021-08-07_final
2021-10-23 11:53:44	ga_s2am_ard_3-2-1_50KNB_2021-10-23_final
2021-12-10 11:15:20	ga_s2am_ard_3-2-1_52JBP_2021-12-10_final
2022-03-05 10:22:34	ga_s2am_ard_3-2-1_54KVD_2022-03-05_final
2022-03-21 10:45:11	ga_s2am_ard_3-2-1_53JMJ_2022-03-21_final
2022-04-03 10:55:00	ga_s2am_ard_3-2-1_52JGQ_2022-04-03_final
2022-05-15 11:35:02	ga_s2am_ard_3-2-1_51JVL_2022-05-15_final
2022-05-18 10:03:40	ga_s2am_ard_3-2-1_55KCP_2022-05-18_final
2022-09-22 11:31:35	ga_s2am_ard_3-2-1_51LXE_2022-09-22_final.stac-item
2022-10-25 10:04:07	ga_s2am_ard_3-2-1_55JCM_2022-10-25_final.stac-item
2022-11-17 10:15:14	ga_s2am_ard_3-2-1_54JWN_2022-11-17_final.stac-item
2023-04-28 10:52:38	ga_s2am_ard_3-2-1_53KMU_2023-04-28_final.stac-item
2023-05-04 11:11:48	ga_s2am_ard_3-2-1_52LEH_2023-05-04_final.stac-item
2023-05-09 10:22:56	ga_s2am_ard_3-2-1_54KWB_2023-05-09_final.stac-item
2023-05-26 10:15:00	ga_s2am_ard_3-2-1_54JWP_2023-05-26_final.stac-item
2023-05-30 09:54:23	ga_s2am_ard_3-2-1_55JDL_2023-05-30_final.stac-item
2023-06-21 10:33:20	ga_s2am_ard_3-2-1_53KRR_2023-06-21_final.stac-item
2023-06-22 10:03:39	ga_s2am_ard_3-2-1_55KCP_2023-06-22_final.stac-item
2023-07-11 10:33:36	ga_s2am_ard_3-2-1_54KTV_2023-07-11_final.stac-item
2023-07-30 11:05:36	ga_s2am_ard_3-2-1_52JEN_2023-07-30_final.stac-item
2023-08-10 10:33:35	ga_s2am_ard_3-2-1_54KTV_2023-08-10_final.stac-item
2023-09-26 10:23:49	ga_s2am_ard_3-2-1_54KUU_2023-09-26_final.stac-item
2023-10-06 10:23:30	ga_s2am_ard_3-2-1_54KVV_2023-10-06_final.stac-item
2023-11-02 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2023-11-02_final.stac-item
2023-12-19 10:03:31	ga_s2am_ard_3-2-1_55KCP_2023-12-19_final.stac-item
2024-03-27 12:13:44	ga_s2am_ard_3-2-1_49KGS_2024-03-27_final.stac-item
2024-04-06 10:33:29	ga_s2am_ard_3-2-1_54KTV_2024-04-06_final.stac-item
2024-05-19 10:44:08	ga_s2am_ard_3-2-1_53JNN_2024-05-19_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