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
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLL_2016-03-03_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51HWD_2016-07-09_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51KXU_2016-09-13_final.stac-item
2016-11-16 11:07:11	ga_s2am_ard_3-2-1_52LGM_2016-11-16_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KWR_2016-11-22_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50KPV_2017-02-03_final
2017-04-12 11:02:10	ga_s2am_ard_3-2-1_52KGF_2017-04-12_final
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_50JNR_2017-04-14_final.stac-item
2017-05-02 11:02:13	ga_s2am_ard_3-2-1_52KGV_2017-05-02_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50KKA_2017-06-19_final
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_52JFM_2017-07-11_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHR_2017-09-27_final
2017-11-01 11:07:12	ga_s2am_ard_3-2-1_52LHN_2017-11-01_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGN_2017-11-19_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_51JXF_2018-01-20_final
2018-04-24 10:47:27	ga_s2am_ard_3-2-1_52JGM_2018-04-24_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51HUC_2018-05-16_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBC_2018-05-23_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKQ_2018-05-25_final
2018-05-30 11:13:18	ga_s2am_ard_3-2-1_52KEV_2018-05-30_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWA_2018-06-05_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50KKB_2018-07-04_final
2018-07-18 11:34:46	ga_s2am_ard_3-2-1_51KVA_2018-07-18_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51KVQ_2018-08-04_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KXQ_2018-08-24_final
2018-11-15 11:45:41	ga_s2am_ard_3-2-1_50JQN_2018-11-15_final
2018-11-29 11:24:18	ga_s2am_ard_3-2-1_51JXN_2018-11-29_final
2018-12-16 11:10:16	ga_s2am_ard_3-2-1_52LHN_2018-12-16_final
2019-01-01 11:32:34	ga_s2am_ard_3-2-1_51KXV_2019-01-01_final
2019-01-05 11:10:56	ga_s2am_ard_3-2-1_52LFL_2019-01-05_final
2019-01-11 11:32:57	ga_s2am_ard_3-2-1_51KVU_2019-01-11_final
2019-01-31 11:32:11	ga_s2am_ard_3-2-1_51KWB_2019-01-31_final
2019-02-06 11:52:31	ga_s2am_ard_3-2-1_50KQF_2019-02-06_final.stac-item
2019-03-06 11:13:09	ga_s2am_ard_3-2-1_52KEB_2019-03-06_final
2019-04-05 11:14:10	ga_s2am_ard_3-2-1_52KBU_2019-04-05_final
2019-06-13 11:45:39	ga_s2am_ard_3-2-1_50JPP_2019-06-13_final
2019-06-21 11:02:22	ga_s2am_ard_3-2-1_52KFF_2019-06-21_final
2019-07-10 11:33:47	ga_s2am_ard_3-2-1_51KWR_2019-07-10_final
2019-07-30 11:34:10	ga_s2am_ard_3-2-1_51KXP_2019-07-30_final
2019-09-16 10:55:30	ga_s2am_ard_3-2-1_52JFN_2019-09-16_final
2019-09-25 11:25:46	ga_s2am_ard_3-2-1_51JWH_2019-09-25_final
2019-10-24 11:55:56	ga_s2am_ard_3-2-1_50JMN_2019-10-24_final
2019-10-28 11:36:46	ga_s2am_ard_3-2-1_51HUD_2019-10-28_final
2020-01-06 11:34:31	ga_s2am_ard_3-2-1_50JRT_2020-01-06_final
2020-01-29 11:43:22	ga_s2am_ard_3-2-1_51KUS_2020-01-29_final
2020-03-07 11:06:02	ga_s2am_ard_3-2-1_52JCL_2020-03-07_final
2020-06-08 11:14:00	ga_s2am_ard_3-2-1_52KBV_2020-06-08_final
2020-06-14 11:37:07	ga_s2am_ard_3-2-1_51HTC_2020-06-14_final
2020-09-05 11:43:29	ga_s2am_ard_3-2-1_51KVS_2020-09-05_final
2020-09-28 11:53:44	ga_s2am_ard_3-2-1_50KNB_2020-09-28_final
2020-10-09 11:21:38	ga_s2am_ard_3-2-1_52LDJ_2020-10-09_final
2020-10-29 11:21:41	ga_s2am_ard_3-2-1_52LCJ_2020-10-29_final
2020-11-08 11:24:09	ga_s2am_ard_3-2-1_51KZP_2020-11-08_final
2020-11-21 11:36:47	ga_s2am_ard_3-2-1_51HUD_2020-11-21_final
2020-12-02 11:00:44	ga_s2am_ard_3-2-1_52LHM_2020-12-02_final
2020-12-25 11:12:05	ga_s2am_ard_3-2-1_52KDG_2020-12-25_final
2021-01-20 11:33:24	ga_s2am_ard_3-2-1_51KXS_2021-01-20_final
2021-03-25 11:14:07	ga_s2am_ard_3-2-1_52KBU_2021-03-25_final
2021-04-01 11:03:32	ga_s2am_ard_3-2-1_52KEA_2021-04-01_final
2021-04-23 11:42:31	ga_s2am_ard_3-2-1_51KVV_2021-04-23_final
2021-04-30 11:32:38	ga_s2am_ard_3-2-1_51KXV_2021-04-30_final
2021-06-19 11:35:37	ga_s2am_ard_3-2-1_50JQP_2021-06-19_final
2021-06-26 11:23:37	ga_s2am_ard_3-2-1_51KZR_2021-06-26_final
2021-06-26 11:23:59	ga_s2am_ard_3-2-1_51KXQ_2021-06-26_final
2021-07-29 11:33:05	ga_s2am_ard_3-2-1_51KYT_2021-07-29_final
2021-12-16 11:33:30	ga_s2am_ard_3-2-1_51KVS_2021-12-16_final
2022-01-06 11:00:50	ga_s2am_ard_3-2-1_52LGM_2022-01-06_final
2022-02-03 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-02-03_final
2022-04-15 11:36:41	ga_s2am_ard_3-2-1_50HPK_2022-04-15_final
2022-05-14 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2022-05-14_final
2022-05-22 11:26:54	ga_s2am_ard_3-2-1_51HUD_2022-05-22_final
2022-07-04 11:33:47	ga_s2am_ard_3-2-1_51KUS_2022-07-04_final
2022-09-09 11:24:15	ga_s2am_ard_3-2-1_52KBU_2022-09-09_final.stac-item
2022-10-19 11:23:56	ga_s2am_ard_3-2-1_51KYQ_2022-10-19_final.stac-item
2022-10-19 11:23:59	ga_s2am_ard_3-2-1_51KXQ_2022-10-19_final.stac-item
2022-11-01 11:32:59	ga_s2am_ard_3-2-1_51KXU_2022-11-01_final.stac-item
2022-12-11 11:32:22	ga_s2am_ard_3-2-1_51KYA_2022-12-11_final.stac-item
2023-01-04 11:12:45	ga_s2am_ard_3-2-1_52KED_2023-01-04_final.stac-item
2023-01-10 11:33:11	ga_s2am_ard_3-2-1_51KWT_2023-01-10_final.stac-item
2023-02-02 11:42:26	ga_s2am_ard_3-2-1_51KVA_2023-02-02_final.stac-item
2023-02-15 11:55:00	ga_s2am_ard_3-2-1_50JPR_2023-02-15_final.stac-item
2023-03-17 11:53:29	ga_s2am_ard_3-2-1_50KQB_2023-03-17_final.stac-item
2023-04-08 10:55:46	ga_s2am_ard_3-2-1_52JFM_2023-04-08_final.stac-item
2023-04-19 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2023-04-19_final.stac-item
2023-05-21 11:06:26	ga_s2am_ard_3-2-1_52HBK_2023-05-21_final.stac-item
2023-06-03 11:11:08	ga_s2am_ard_3-2-1_52LEL_2023-06-03_final.stac-item
2023-07-16 11:24:09	ga_s2am_ard_3-2-1_52KBU_2023-07-16_final.stac-item
2023-08-05 11:26:31	ga_s2am_ard_3-2-1_51HWE_2023-08-05_final.stac-item
2023-10-06 12:04:00	ga_s2am_ard_3-2-1_49KHR_2023-10-06_final.stac-item
2023-12-10 11:15:28	ga_s2am_ard_3-2-1_52JCN_2023-12-10_final.stac-item
2023-12-22 11:55:55	ga_s2am_ard_3-2-1_50JKN_2023-12-22_final.stac-item
2024-01-22 11:23:46	ga_s2am_ard_3-2-1_51KYQ_2024-01-22_final.stac-item
2024-01-23 10:55:28	ga_s2am_ard_3-2-1_52JEN_2024-01-23_final.stac-item
2024-01-29 11:11:32	ga_s2am_ard_3-2-1_52LDJ_2024-01-29_final.stac-item
2024-02-05 11:04:12	ga_s2am_ard_3-2-1_52JFT_2024-02-05_final.stac-item
2024-03-02 11:24:15	ga_s2am_ard_3-2-1_51KWP_2024-03-02_final.stac-item
2024-03-03 10:55:42	ga_s2am_ard_3-2-1_52JGM_2024-03-03_final.stac-item
2024-03-29 11:12:50	ga_s2am_ard_3-2-1_52KED_2024-03-29_final.stac-item
2024-04-24 11:35:21	ga_s2am_ard_3-2-1_51JTK_2024-04-24_final.stac-item
2024-05-11 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2024-05-11_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