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
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51HUE_2016-04-06_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JTL_2016-04-06_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKR_2016-05-15_final.stac-item
2016-06-15 11:36:06	ga_s2am_ard_3-2-1_50JQM_2016-06-15_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JMM_2016-07-08_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HMK_2016-09-19_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JKM_2016-11-28_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KXT_2016-12-22_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KPU_2017-01-14_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KUR_2017-01-14_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JWH_2017-01-18_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51JWM_2017-01-31_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HVE_2017-03-19_final
2017-03-22 11:35:56	ga_s2am_ard_3-2-1_50JQL_2017-03-22_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51HTC_2017-08-26_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_51HWE_2017-11-21_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HYD_2017-12-11_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JXH_2018-02-02_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50JQQ_2018-02-08_final
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51KWB_2018-03-20_final
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_51JXH_2018-06-19_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50KLC_2018-07-04_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMH_2018-07-18_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50JQM_2018-08-04_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-08-16_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JPM_2018-08-17_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50HQJ_2018-08-24_final
2018-11-06 11:16:22	ga_s2am_ard_3-2-1_51HXE_2018-11-06_final
2019-01-24 11:47:11	ga_s2am_ard_3-2-1_50HLH_2019-01-24_final
2019-02-07 11:24:23	ga_s2am_ard_3-2-1_51JXN_2019-02-07_final
2019-04-01 11:35:51	ga_s2am_ard_3-2-1_50JQN_2019-04-01_final
2019-04-11 11:33:45	ga_s2am_ard_3-2-1_51KWR_2019-04-11_final
2019-06-23 11:46:02	ga_s2am_ard_3-2-1_50JQM_2019-06-23_final
2019-09-21 11:46:30	ga_s2am_ard_3-2-1_50HQK_2019-09-21_final
2019-10-01 11:43:31	ga_s2am_ard_3-2-1_51KUS_2019-10-01_final
2020-01-03 11:25:33	ga_s2am_ard_3-2-1_51JXH_2020-01-03_final
2020-01-09 11:43:56	ga_s2am_ard_3-2-1_50KRV_2020-01-09_final
2020-02-08 11:44:55	ga_s2am_ard_3-2-1_50JQR_2020-02-08_final
2020-02-19 11:16:31	ga_s2am_ard_3-2-1_51HYD_2020-02-19_final
2020-02-24 12:06:04	ga_s2am_ard_3-2-1_50JKM_2020-02-24_final
2020-03-05 12:04:09	ga_s2am_ard_3-2-1_50KKV_2020-03-05_final
2020-05-04 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2020-05-04_final
2020-06-27 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-06-27_final
2020-07-07 11:43:04	ga_s2am_ard_3-2-1_51KUU_2020-07-07_final
2020-07-14 11:36:36	ga_s2am_ard_3-2-1_51HTE_2020-07-14_final
2020-08-03 11:36:52	ga_s2am_ard_3-2-1_51HTD_2020-08-03_final
2020-08-07 11:16:46	ga_s2am_ard_3-2-1_51HXD_2020-08-07_final
2020-08-09 11:53:30	ga_s2am_ard_3-2-1_50KNC_2020-08-09_final
2020-11-18 11:24:14	ga_s2am_ard_3-2-1_51KXP_2020-11-18_final
2021-01-30 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-01-30_final
2021-02-02 11:43:24	ga_s2am_ard_3-2-1_51KVS_2021-02-02_final
2021-03-01 11:36:28	ga_s2am_ard_3-2-1_51HUE_2021-03-01_final
2021-04-06 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2021-04-06_final
2021-06-18 12:03:20	ga_s2am_ard_3-2-1_50KNC_2021-06-18_final
2021-06-25 11:55:58	ga_s2am_ard_3-2-1_50JLN_2021-06-25_final
2021-07-12 11:46:29	ga_s2am_ard_3-2-1_50JML_2021-07-12_final
2021-07-12 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-07-12_final
2021-08-14 11:56:16	ga_s2am_ard_3-2-1_50JKM_2021-08-14_final
2021-08-31 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2021-08-31_final
2021-10-27 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2021-10-27_final
2021-11-08 12:15:13	ga_s2am_ard_3-2-1_49JGL_2021-11-08_final
2021-12-12 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-12-12_final
2022-01-17 12:13:55	ga_s2am_ard_3-2-1_50KKA_2022-01-17_final
2022-03-03 11:25:17	ga_s2am_ard_3-2-1_51JWK_2022-03-03_final
2022-06-01 11:25:17	ga_s2am_ard_3-2-1_51JXK_2022-06-01_final
2022-06-28 11:16:50	ga_s2am_ard_3-2-1_51HYD_2022-06-28_final
2022-07-03 12:05:54	ga_s2am_ard_3-2-1_50JKP_2022-07-03_final
2022-08-26 11:43:31	ga_s2am_ard_3-2-1_51KTT_2022-08-26_final
2022-10-06 11:15:31	ga_s2am_ard_3-2-1_51JYJ_2022-10-06_final.stac-item
2022-11-11 11:36:32	ga_s2am_ard_3-2-1_51HUE_2022-11-11_final.stac-item
2023-01-17 11:25:20	ga_s2am_ard_3-2-1_51JXJ_2023-01-17_final.stac-item
2023-01-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-01-19_final.stac-item
2023-01-27 11:23:55	ga_s2am_ard_3-2-1_51KXQ_2023-01-27_final.stac-item
2023-02-05 11:57:13	ga_s2am_ard_3-2-1_49HGC_2023-02-05_nrt.stac-item
2023-04-10 11:37:03	ga_s2am_ard_3-2-1_50HQH_2023-04-10_final.stac-item
2023-05-30 11:35:16	ga_s2am_ard_3-2-1_51JVK_2023-05-30_final.stac-item
2023-06-19 11:35:45	ga_s2am_ard_3-2-1_51JVH_2023-06-19_final.stac-item
2023-07-05 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2023-07-05_final.stac-item
2023-07-05 11:57:19	ga_s2am_ard_3-2-1_49HGC_2023-07-05_nrt.stac-item
2023-08-01 11:42:47	ga_s2am_ard_3-2-1_51KVV_2023-08-01_final.stac-item
2023-08-02 11:15:48	ga_s2am_ard_3-2-1_51JXH_2023-08-02_final.stac-item
2023-12-06 11:34:30	ga_s2am_ard_3-2-1_50JRT_2023-12-06_final.stac-item
2023-12-06 11:35:49	ga_s2am_ard_3-2-1_51JVG_2023-12-06_final.stac-item
2023-12-29 11:43:15	ga_s2am_ard_3-2-1_50KRC_2023-12-29_final.stac-item
2024-01-15 11:35:05	ga_s2am_ard_3-2-1_51JVK_2024-01-15_final.stac-item
2024-01-19 12:50:50	ga_s2am_ard_3-2-1_48LWP_2024-01-19_final.stac-item
2024-03-01 11:54:44	ga_s2am_ard_3-2-1_50JLT_2024-03-01_final.stac-item
2024-03-15 11:36:02	ga_s2am_ard_3-2-1_51JTG_2024-03-15_final.stac-item
2024-03-15 11:36:31	ga_s2am_ard_3-2-1_51HTE_2024-03-15_final.stac-item
2024-03-17 12:15:11	ga_s2am_ard_3-2-1_49JGL_2024-03-17_final.stac-item
2024-03-18 11:47:15	ga_s2am_ard_3-2-1_50HLH_2024-03-18_final.stac-item
2024-03-19 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2024-03-19_final.stac-item
2024-04-10 11:54:19	ga_s2am_ard_3-2-1_50KPU_2024-04-10_final.stac-item
2024-04-24 11:35:44	ga_s2am_ard_3-2-1_51JVH_2024-04-24_final.stac-item
2024-04-27 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2024-04-27_final.stac-item
2024-05-06 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2024-05-06_final.stac-item
2024-05-10 11:56:10	ga_s2am_ard_3-2-1_50JMM_2024-05-10_final.stac-item
2024-05-13 12:05:38	ga_s2am_ard_3-2-1_50JLP_2024-05-13_final.stac-item
2024-05-30 11:57:15	ga_s2am_ard_3-2-1_50HKH_2024-05-30_nrt.stac-item
2024-06-02 12:05:33	ga_s2am_ard_3-2-1_49JGK_2024-06-02_nrt.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

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