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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JYK_2015-10-23_final.stac-item
2016-01-04 11:26:26	ga_s2am_ard_3-2-1_51HUE_2016-01-04_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KYU_2016-01-24_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGK_2016-02-08_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HNJ_2016-02-19_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KVS_2016-03-20_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51HUE_2016-05-06_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQM_2016-06-05_final.stac-item
2016-06-15 11:36:06	ga_s2am_ard_3-2-1_51JTF_2016-06-15_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JUN_2016-06-25_final.stac-item
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51JUF_2017-01-31_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HUE_2017-03-19_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50JPM_2017-04-14_final.stac-item
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51JTN_2017-04-21_final.stac-item
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JLN_2017-06-26_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51KXP_2017-06-27_final
2017-08-11 12:13:45	ga_s2am_ard_3-2-1_49KGR_2017-08-11_final
2017-08-11 12:13:45	ga_s2am_ard_3-2-1_50KKA_2017-08-11_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JWM_2017-09-08_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KWP_2018-01-13_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JWL_2018-06-05_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JLN_2018-06-24_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KXS_2018-07-05_final
2018-07-18 11:34:46	ga_s2am_ard_3-2-1_51KVU_2018-07-18_final
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51JYK_2018-09-27_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51JTJ_2018-10-26_final
2018-11-19 11:23:04	ga_s2am_ard_3-2-1_51KYT_2018-11-19_final
2018-11-29 11:23:16	ga_s2am_ard_3-2-1_51KYS_2018-11-29_final
2019-01-18 11:24:19	ga_s2am_ard_3-2-1_51JYN_2019-01-18_final
2019-05-11 11:35:54	ga_s2am_ard_3-2-1_50JQN_2019-05-11_final
2019-05-20 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-05-20_final
2019-05-27 11:54:36	ga_s2am_ard_3-2-1_50JPT_2019-05-27_final
2019-05-30 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-05-30_final
2019-06-30 11:33:14	ga_s2am_ard_3-2-1_51KXT_2019-06-30_final
2019-07-26 11:56:09	ga_s2am_ard_3-2-1_50JNM_2019-07-26_final
2019-08-02 11:43:22	ga_s2am_ard_3-2-1_51KTT_2019-08-02_final
2019-08-05 11:56:41	ga_s2am_ard_3-2-1_50HMK_2019-08-05_final
2019-10-28 11:36:37	ga_s2am_ard_3-2-1_50HQK_2019-10-28_final
2020-01-16 11:36:40	ga_s2am_ard_3-2-1_51HTD_2020-01-16_final
2020-02-19 11:15:51	ga_s2am_ard_3-2-1_51JXG_2020-02-19_final
2020-03-15 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-03-15_final
2020-03-30 11:16:33	ga_s2am_ard_3-2-1_51HYD_2020-03-30_final
2020-04-05 11:33:02	ga_s2am_ard_3-2-1_51KVU_2020-04-05_final
2020-04-24 12:06:11	ga_s2am_ard_3-2-1_50JKM_2020-04-24_final
2020-04-25 11:35:17	ga_s2am_ard_3-2-1_51JUK_2020-04-25_final
2020-04-25 11:35:21	ga_s2am_ard_3-2-1_51JTK_2020-04-25_final
2020-05-04 12:06:13	ga_s2am_ard_3-2-1_50JKM_2020-05-04_final
2020-05-25 11:36:38	ga_s2am_ard_3-2-1_51HTE_2020-05-25_final
2020-07-17 11:44:50	ga_s2am_ard_3-2-1_51JTM_2020-07-17_final
2020-07-17 11:46:05	ga_s2am_ard_3-2-1_50JPM_2020-07-17_final
2020-08-16 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-08-16_final
2020-08-30 11:27:03	ga_s2am_ard_3-2-1_51HVC_2020-08-30_final
2020-09-16 11:16:27	ga_s2am_ard_3-2-1_51HYE_2020-09-16_final
2020-10-01 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-10-01_final
2020-10-08 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-10-08_final
2020-11-14 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-11-14_final
2020-11-18 11:24:54	ga_s2am_ard_3-2-1_51JYL_2020-11-18_final
2020-11-18 11:27:05	ga_s2am_ard_3-2-1_51HUC_2020-11-18_final
2020-11-24 11:43:26	ga_s2am_ard_3-2-1_51KVS_2020-11-24_final
2021-01-14 11:16:09	ga_s2am_ard_3-2-1_51JYF_2021-01-14_final
2021-01-30 11:32:08	ga_s2am_ard_3-2-1_51KYB_2021-01-30_final
2021-02-02 11:43:32	ga_s2am_ard_3-2-1_51KTS_2021-02-02_final
2021-02-06 11:24:58	ga_s2am_ard_3-2-1_51JWL_2021-02-06_final
2021-02-06 11:26:39	ga_s2am_ard_3-2-1_51HWD_2021-02-06_final
2021-02-08 12:03:43	ga_s2am_ard_3-2-1_50KKB_2021-02-08_final
2021-02-12 11:44:04	ga_s2am_ard_3-2-1_50KQV_2021-02-12_final
2021-02-26 11:26:58	ga_s2am_ard_3-2-1_51HVC_2021-02-26_final
2021-03-08 11:26:48	ga_s2am_ard_3-2-1_51HUD_2021-03-08_final
2021-05-07 11:24:18	ga_s2am_ard_3-2-1_51JZN_2021-05-07_final
2021-05-30 11:35:16	ga_s2am_ard_3-2-1_51JUK_2021-05-30_final
2021-06-09 11:36:39	ga_s2am_ard_3-2-1_50HPK_2021-06-09_final
2021-07-29 11:34:09	ga_s2am_ard_3-2-1_51KXP_2021-07-29_final
2021-08-01 11:46:08	ga_s2am_ard_3-2-1_50JPM_2021-08-01_final
2021-11-22 11:56:18	ga_s2am_ard_3-2-1_50JNL_2021-11-22_final
2021-11-23 11:24:32	ga_s2am_ard_3-2-1_51JZM_2021-11-23_final
2022-02-07 11:43:14	ga_s2am_ard_3-2-1_51KUT_2022-02-07_final
2022-03-28 12:14:10	ga_s2am_ard_3-2-1_50KKV_2022-03-28_final
2022-04-01 11:54:39	ga_s2am_ard_3-2-1_50JNT_2022-04-01_final
2022-04-01 11:55:23	ga_s2am_ard_3-2-1_50JNQ_2022-04-01_final
2022-04-18 11:44:49	ga_s2am_ard_3-2-1_50JRS_2022-04-18_final
2022-04-22 11:23:33	ga_s2am_ard_3-2-1_51KXS_2022-04-22_final
2022-05-02 11:24:17	ga_s2am_ard_3-2-1_51KXP_2022-05-02_final
2022-05-18 11:44:11	ga_s2am_ard_3-2-1_50KQV_2022-05-18_final
2022-06-17 11:44:56	ga_s2am_ard_3-2-1_51JTM_2022-06-17_final
2022-08-03 11:36:30	ga_s2am_ard_3-2-1_50JQL_2022-08-03_final
2022-08-10 11:26:52	ga_s2am_ard_3-2-1_51HWD_2022-08-10_final
2022-10-15 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-10-15_final.stac-item
2022-11-18 11:26:31	ga_s2am_ard_3-2-1_51HVE_2022-11-18_final.stac-item
2022-11-24 11:43:11	ga_s2am_ard_3-2-1_51KVT_2022-11-24_final.stac-item
2022-11-24 13:21:44	ga_s2am_ard_3-2-1_46LHM_2022-11-24_interim.stac-item
2022-11-27 13:31:39	ga_s2am_ard_3-2-1_46LHM_2022-11-27_interim.stac-item
2023-01-14 11:15:22	ga_s2am_ard_3-2-1_51JYJ_2023-01-14_final.stac-item
2023-01-14 12:50:56	ga_s2am_ard_3-2-1_48LXP_2023-01-14_interim.stac-item
2023-05-30 11:36:35	ga_s2am_ard_3-2-1_51HTE_2023-05-30_final.stac-item
2023-08-07 12:04:26	ga_s2am_ard_3-2-1_50KMU_2023-08-07_final.stac-item
2023-11-20 11:13:51	ga_s2am_ard_3-2-1_51KZQ_2023-11-20_final.stac-item
2023-12-19 11:43:40	ga_s2am_ard_3-2-1_51KUR_2023-12-19_final.stac-item
2024-01-01 11:53:07	ga_s2am_ard_3-2-1_50KRC_2024-01-01_final.stac-item
2024-03-09 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2024-03-09_final.stac-item
2024-03-25 11:33:39	ga_s2am_ard_3-2-1_51KXR_2024-03-25_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