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
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HNH_2016-05-09_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQN_2016-06-05_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HVC_2016-06-12_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JNL_2016-07-08_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JXM_2017-01-08_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JWF_2017-03-19_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HTD_2017-05-11_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HPH_2017-09-21_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_51HYD_2018-01-20_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51JWN_2018-02-02_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JTJ_2018-02-25_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JLM_2018-03-23_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUF_2018-06-05_final
2018-12-05 11:47:06	ga_s2am_ard_3-2-1_50HLH_2018-12-05_final
2019-03-12 11:32:59	ga_s2am_ard_3-2-1_51KWU_2019-03-12_final
2019-03-15 11:44:37	ga_s2am_ard_3-2-1_51JUM_2019-03-15_final
2019-03-21 12:05:39	ga_s2am_ard_3-2-1_50JKP_2019-03-21_final
2019-03-22 11:32:45	ga_s2am_ard_3-2-1_51KVV_2019-03-22_final
2019-04-01 11:36:17	ga_s2am_ard_3-2-1_51JTF_2019-04-01_final
2019-04-15 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2019-04-15_final
2019-05-11 11:35:54	ga_s2am_ard_3-2-1_50JQN_2019-05-11_final
2019-06-07 11:26:17	ga_s2am_ard_3-2-1_51JVF_2019-06-07_final
2019-08-09 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-08-09_final
2019-09-01 11:43:25	ga_s2am_ard_3-2-1_51KVS_2019-09-01_final
2019-10-27 12:04:46	ga_s2am_ard_3-2-1_50JKT_2019-10-27_final
2019-12-10 11:42:39	ga_s2am_ard_3-2-1_51KVV_2019-12-10_final
2020-01-03 11:25:25	ga_s2am_ard_3-2-1_51JVJ_2020-01-03_final
2020-01-16 11:33:36	ga_s2am_ard_3-2-1_51KWR_2020-01-16_final
2020-02-18 11:42:58	ga_s2am_ard_3-2-1_50KRD_2020-02-18_final
2020-03-05 12:03:37	ga_s2am_ard_3-2-1_50KLB_2020-03-05_final
2020-03-09 11:43:07	ga_s2am_ard_3-2-1_51KVT_2020-03-09_final
2020-03-30 11:14:38	ga_s2am_ard_3-2-1_51JYM_2020-03-30_final
2020-04-01 11:56:36	ga_s2am_ard_3-2-1_50HLK_2020-04-01_final
2020-05-31 11:56:24	ga_s2am_ard_3-2-1_50JNL_2020-05-31_final
2020-07-24 11:32:38	ga_s2am_ard_3-2-1_51KVA_2020-07-24_final
2020-08-10 11:24:17	ga_s2am_ard_3-2-1_51KXP_2020-08-10_final
2020-08-16 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-08-16_final
2020-08-19 11:53:30	ga_s2am_ard_3-2-1_50KNC_2020-08-19_final
2020-08-30 11:27:12	ga_s2am_ard_3-2-1_51HTC_2020-08-30_final
2020-09-02 11:37:02	ga_s2am_ard_3-2-1_51HUC_2020-09-02_final
2020-09-22 11:33:39	ga_s2am_ard_3-2-1_51KUS_2020-09-22_final
2020-10-15 11:43:17	ga_s2am_ard_3-2-1_51KVT_2020-10-15_final
2020-11-01 11:33:18	ga_s2am_ard_3-2-1_51KWT_2020-11-01_final
2020-12-11 11:33:24	ga_s2am_ard_3-2-1_51KWS_2020-12-11_final
2020-12-11 11:33:49	ga_s2am_ard_3-2-1_51KXQ_2020-12-11_final
2020-12-11 11:35:09	ga_s2am_ard_3-2-1_51JVK_2020-12-11_final
2021-01-10 11:36:15	ga_s2am_ard_3-2-1_51JUF_2021-01-10_final
2021-01-20 11:32:15	ga_s2am_ard_3-2-1_51KWB_2021-01-20_final
2021-01-20 11:32:26	ga_s2am_ard_3-2-1_51KXA_2021-01-20_final
2021-01-20 11:36:50	ga_s2am_ard_3-2-1_51HTD_2021-01-20_final
2021-02-08 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-02-08_final
2021-05-10 11:36:57	ga_s2am_ard_3-2-1_51HUC_2021-05-10_final
2021-05-13 11:42:37	ga_s2am_ard_3-2-1_51KUA_2021-05-13_final
2021-05-29 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-05-29_final
2021-05-30 11:36:47	ga_s2am_ard_3-2-1_51HTD_2021-05-30_final
2021-06-02 11:43:22	ga_s2am_ard_3-2-1_50KQC_2021-06-02_final
2021-07-12 11:45:42	ga_s2am_ard_3-2-1_50JNP_2021-07-12_final
2021-07-12 11:46:11	ga_s2am_ard_3-2-1_50JNM_2021-07-12_final
2021-09-16 12:06:11	ga_s2am_ard_3-2-1_50JKM_2021-09-16_final
2021-09-27 11:34:40	ga_s2am_ard_3-2-1_50JRT_2021-09-27_final
2021-10-16 12:06:15	ga_s2am_ard_3-2-1_50JKM_2021-10-16_final
2021-12-09 11:46:27	ga_s2am_ard_3-2-1_50HQK_2021-12-09_final
2022-02-14 11:35:41	ga_s2am_ard_3-2-1_51JVH_2022-02-14_final
2022-03-02 11:53:21	ga_s2am_ard_3-2-1_50KQC_2022-03-02_final
2022-03-03 11:25:02	ga_s2am_ard_3-2-1_51JWL_2022-03-03_final
2022-03-29 11:45:49	ga_s2am_ard_3-2-1_50JQN_2022-03-29_final
2022-04-02 11:24:21	ga_s2am_ard_3-2-1_51JZN_2022-04-02_final
2022-04-11 11:57:17	ga_s2am_ard_3-2-1_50HLH_2022-04-11_final
2022-04-12 11:26:46	ga_s2am_ard_3-2-1_51HVD_2022-04-12_final
2022-05-12 11:26:44	ga_s2am_ard_3-2-1_51HWD_2022-05-12_final
2022-06-10 11:56:08	ga_s2am_ard_3-2-1_50JKN_2022-06-10_final
2022-06-11 11:26:39	ga_s2am_ard_3-2-1_51HVE_2022-06-11_final
2022-06-18 11:15:36	ga_s2am_ard_3-2-1_51JYJ_2022-06-18_final
2022-10-02 11:37:08	ga_s2am_ard_3-2-1_51HTC_2022-10-02_final.stac-item
2022-10-28 11:56:33	ga_s2am_ard_3-2-1_50HNK_2022-10-28_final.stac-item
2022-11-11 11:36:35	ga_s2am_ard_3-2-1_51HTE_2022-11-11_final.stac-item
2022-11-14 11:47:09	ga_s2am_ard_3-2-1_50HNH_2022-11-14_final.stac-item
2022-12-04 11:47:03	ga_s2am_ard_3-2-1_50HPH_2022-12-04_final.stac-item
2022-12-18 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2022-12-18_final.stac-item
2023-01-03 11:42:26	ga_s2am_ard_3-2-1_51KVA_2023-01-03_final.stac-item
2023-01-17 11:25:30	ga_s2am_ard_3-2-1_51JYH_2023-01-17_final.stac-item
2023-01-17 11:26:58	ga_s2am_ard_3-2-1_51HUC_2023-01-17_final.stac-item
2023-01-26 13:31:31	ga_s2am_ard_3-2-1_46LHN_2023-01-26_interim.stac-item
2023-02-18 12:03:55	ga_s2am_ard_3-2-1_50KKA_2023-02-18_final.stac-item
2023-03-04 11:42:53	ga_s2am_ard_3-2-1_51KVU_2023-03-04_final.stac-item
2023-03-24 11:45:31	ga_s2am_ard_3-2-1_50JQP_2023-03-24_final.stac-item
2023-03-25 11:15:52	ga_s2am_ard_3-2-1_51JYG_2023-03-25_final.stac-item
2023-05-14 11:16:37	ga_s2am_ard_3-2-1_51HYD_2023-05-14_final.stac-item
2023-06-03 11:15:43	ga_s2am_ard_3-2-1_51JYH_2023-06-03_final.stac-item
2023-06-18 12:04:35	ga_s2am_ard_3-2-1_49KGP_2023-06-18_final.stac-item
2023-07-19 11:36:24	ga_s2am_ard_3-2-1_51JTF_2023-07-19_final.stac-item
2023-08-01 11:43:34	ga_s2am_ard_3-2-1_51KUS_2023-08-01_final.stac-item
2023-08-27 12:05:35	ga_s2am_ard_3-2-1_49JGK_2023-08-27_final.stac-item
2023-08-31 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2023-08-31_final.stac-item
2024-01-01 11:53:07	ga_s2am_ard_3-2-1_50KRC_2024-01-01_final.stac-item
2024-01-12 11:26:38	ga_s2am_ard_3-2-1_51HVD_2024-01-12_final.stac-item
2024-01-12 11:26:56	ga_s2am_ard_3-2-1_51HUC_2024-01-12_final.stac-item
2024-01-25 11:35:13	ga_s2am_ard_3-2-1_51JTK_2024-01-25_final.stac-item
2024-03-05 11:33:42	ga_s2am_ard_3-2-1_51KWR_2024-03-05_final.stac-item
2024-03-15 11:36:34	ga_s2am_ard_3-2-1_50HQK_2024-03-15_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