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
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNN_2016-01-20_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KDC_2016-05-20_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51KVS_2016-06-25_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HNK_2016-07-08_final.stac-item
2016-09-21 10:55:09	ga_s2am_ard_3-2-1_52JGL_2016-09-21_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JZM_2016-12-26_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_52JBT_2016-12-26_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JDS_2017-01-25_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KEE_2017-02-24_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51HUC_2017-02-27_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51KZQ_2017-04-15_final
2017-05-03 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-03_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JGK_2017-10-17_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JVH_2017-11-07_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51JYH_2018-03-11_final
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51KWB_2018-03-20_final
2018-06-16 10:57:15	ga_s2am_ard_3-2-1_52KDV_2018-06-16_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JDS_2018-06-19_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51HVC_2018-07-02_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_51KTS_2018-07-18_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JKN_2018-08-20_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JYJ_2018-09-30_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_51HYE_2018-10-27_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JEQ_2018-11-03_final
2018-12-10 10:55:48	ga_s2am_ard_3-2-1_52JGL_2018-12-10_final
2019-03-08 11:55:41	ga_s2am_ard_3-2-1_50JKP_2019-03-08_final
2019-03-09 11:26:38	ga_s2am_ard_3-2-1_51HVD_2019-03-09_final
2019-03-16 11:12:46	ga_s2am_ard_3-2-1_52KDD_2019-03-16_final
2019-04-14 11:46:17	ga_s2am_ard_3-2-1_50JQL_2019-04-14_final
2019-06-07 11:26:42	ga_s2am_ard_3-2-1_51HWD_2019-06-07_final
2019-06-17 11:25:09	ga_s2am_ard_3-2-1_51JYK_2019-06-17_final
2019-07-10 11:33:04	ga_s2am_ard_3-2-1_51KVU_2019-07-10_final
2019-08-06 11:26:33	ga_s2am_ard_3-2-1_51HVE_2019-08-06_final
2019-08-09 11:36:50	ga_s2am_ard_3-2-1_51HTD_2019-08-09_final
2019-08-16 11:24:11	ga_s2am_ard_3-2-1_51KYP_2019-08-16_final
2019-08-23 11:16:39	ga_s2am_ard_3-2-1_51HYD_2019-08-23_final
2019-08-29 11:33:24	ga_s2am_ard_3-2-1_51KXS_2019-08-29_final
2019-10-12 11:16:43	ga_s2am_ard_3-2-1_51HXD_2019-10-12_final
2019-10-19 11:03:05	ga_s2am_ard_3-2-1_52KFC_2019-10-19_final
2019-11-27 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2019-11-27_final
2019-12-01 11:16:21	ga_s2am_ard_3-2-1_51HYE_2019-12-01_final
2020-01-03 11:25:47	ga_s2am_ard_3-2-1_51JXG_2020-01-03_final
2020-01-06 11:33:03	ga_s2am_ard_3-2-1_51KXT_2020-01-06_final
2020-01-15 12:03:27	ga_s2am_ard_3-2-1_50KNB_2020-01-15_final
2020-02-05 11:32:35	ga_s2am_ard_3-2-1_51KWV_2020-02-05_final
2020-02-09 11:15:31	ga_s2am_ard_3-2-1_51JYH_2020-02-09_final
2020-03-23 11:26:22	ga_s2am_ard_3-2-1_51HWE_2020-03-23_final
2020-05-12 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2020-05-12_final
2020-05-29 11:13:35	ga_s2am_ard_3-2-1_51KZS_2020-05-29_final
2020-06-14 11:33:22	ga_s2am_ard_3-2-1_51KVT_2020-06-14_final
2020-07-14 11:36:22	ga_s2am_ard_3-2-1_51JTF_2020-07-14_final
2020-07-14 11:37:02	ga_s2am_ard_3-2-1_51HUC_2020-07-14_final
2020-08-09 11:56:14	ga_s2am_ard_3-2-1_50JMM_2020-08-09_final
2020-09-26 11:13:31	ga_s2am_ard_3-2-1_52KBB_2020-09-26_final
2020-10-28 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-10-28_final
2020-12-08 11:22:45	ga_s2am_ard_3-2-1_52KCD_2020-12-08_final
2020-12-11 11:33:09	ga_s2am_ard_3-2-1_51KWT_2020-12-11_final
2020-12-18 11:24:30	ga_s2am_ard_3-2-1_52JBS_2020-12-18_final
2021-01-30 11:34:18	ga_s2am_ard_3-2-1_51KUP_2021-01-30_final
2021-02-05 11:55:20	ga_s2am_ard_3-2-1_50JNQ_2021-02-05_final
2021-02-16 11:24:58	ga_s2am_ard_3-2-1_51JWL_2021-02-16_final
2021-02-19 11:34:46	ga_s2am_ard_3-2-1_51JTM_2021-02-19_final
2021-03-02 11:05:37	ga_s2am_ard_3-2-1_52JCN_2021-03-02_final
2021-03-21 11:31:34	ga_s2am_ard_3-2-1_51LZD_2021-03-21_final
2021-04-20 11:36:29	ga_s2am_ard_3-2-1_50HQK_2021-04-20_final
2021-07-22 11:46:29	ga_s2am_ard_3-2-1_50JML_2021-07-22_final
2021-09-30 11:46:45	ga_s2am_ard_3-2-1_50HMK_2021-09-30_final
2021-11-15 12:06:11	ga_s2am_ard_3-2-1_50JKM_2021-11-15_final
2022-01-15 11:32:59	ga_s2am_ard_3-2-1_51KWU_2022-01-15_final
2022-03-03 11:27:05	ga_s2am_ard_3-2-1_51HUC_2022-03-03_final
2022-04-02 11:25:22	ga_s2am_ard_3-2-1_51JYJ_2022-04-02_final
2022-05-01 11:53:16	ga_s2am_ard_3-2-1_50KRC_2022-05-01_final
2022-05-22 11:25:23	ga_s2am_ard_3-2-1_51JVK_2022-05-22_final
2022-06-01 11:23:43	ga_s2am_ard_3-2-1_52KBA_2022-06-01_final
2022-06-01 11:24:19	ga_s2am_ard_3-2-1_51KXP_2022-06-01_final
2022-06-25 11:05:14	ga_s2am_ard_3-2-1_52JEQ_2022-06-25_final
2022-07-13 12:05:35	ga_s2am_ard_3-2-1_50JLQ_2022-07-13_final
2022-09-29 11:23:43	ga_s2am_ard_3-2-1_51KZR_2022-09-29_final.stac-item
2022-11-15 11:13:16	ga_s2am_ard_3-2-1_52KDB_2022-11-15_final.stac-item
2022-11-21 11:33:24	ga_s2am_ard_3-2-1_51KXS_2022-11-21_final.stac-item
2022-12-05 11:16:37	ga_s2am_ard_3-2-1_51HYD_2022-12-05_final.stac-item
2023-01-04 11:13:36	ga_s2am_ard_3-2-1_52KCA_2023-01-04_final.stac-item
2023-02-02 13:21:43	ga_s2am_ard_3-2-1_47LKG_2023-02-02_interim.stac-item
2023-02-03 11:16:07	ga_s2am_ard_3-2-1_51JYF_2023-02-03_final.stac-item
2023-03-19 10:55:58	ga_s2am_ard_3-2-1_52JFL_2023-03-19_final.stac-item
2023-03-24 11:42:44	ga_s2am_ard_3-2-1_51KUV_2023-03-24_final.stac-item
2023-04-04 11:13:28	ga_s2am_ard_3-2-1_51KZS_2023-04-04_final.stac-item
2023-05-06 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2023-05-06_final.stac-item
2023-05-23 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2023-05-23_final.stac-item
2023-05-30 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-05-30_final.stac-item
2023-06-19 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2023-06-19_final.stac-item
2023-06-20 11:06:37	ga_s2am_ard_3-2-1_52HBJ_2023-06-20_final.stac-item
2023-07-12 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-07-12_final.stac-item
2023-09-10 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-09-10_final.stac-item
2023-12-29 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-12-29_final.stac-item
2024-01-05 11:36:30	ga_s2am_ard_3-2-1_50HQK_2024-01-05_final.stac-item
2024-03-05 11:36:20	ga_s2am_ard_3-2-1_50JQL_2024-03-05_final.stac-item
2024-03-08 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2024-03-08_final.stac-item
2024-04-11 11:25:21	ga_s2am_ard_3-2-1_51JYJ_2024-04-11_final.stac-item
2024-04-24 11:35:44	ga_s2am_ard_3-2-1_51JVH_2024-04-24_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