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
2015-08-18 10:54:45	ga_s2am_ard_3-2-1_53JKH_2015-08-18_final.stac-item
2015-09-13 11:13:11	ga_s2am_ard_3-2-1_52KDV_2015-09-13_final.stac-item
2016-01-11 11:13:29	ga_s2am_ard_3-2-1_52KBC_2016-01-11_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51JTK_2016-03-20_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JCQ_2016-03-28_final.stac-item
2016-07-07 10:34:31	ga_s2am_ard_3-2-1_53HNC_2016-07-07_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNK_2016-07-28_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50HQK_2016-09-13_final.stac-item
2016-09-28 10:38:39	ga_s2am_ard_3-2-1_53JNK_2016-09-28_final.stac-item
2016-11-23 11:01:01	ga_s2am_ard_3-2-1_52KHF_2016-11-23_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KVA_2016-12-12_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KZQ_2017-01-08_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KFG_2017-01-15_final
2017-02-21 11:00:21	ga_s2am_ard_3-2-1_52LHM_2017-02-21_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HUD_2017-03-19_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50JQP_2017-04-21_final
2017-06-07 11:19:47	ga_s2am_ard_3-2-1_51KYS_2017-06-07_final
2017-07-19 10:22:32	ga_s2am_ard_3-2-1_53HQA_2017-07-19_final
2017-12-29 10:32:26	ga_s2am_ard_3-2-1_53JNH_2017-12-29_final
2017-12-29 10:32:26	ga_s2am_ard_3-2-1_53JPG_2017-12-29_final
2018-02-09 11:07:09	ga_s2am_ard_3-2-1_52LEJ_2018-02-09_final
2018-04-05 12:02:49	ga_s2am_ard_3-2-1_50KKB_2018-04-05_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKQ_2018-08-23_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JCM_2018-11-03_final
2018-11-15 11:47:19	ga_s2am_ard_3-2-1_50HMG_2018-11-15_final.stac-item
2018-11-24 10:36:28	ga_s2am_ard_3-2-1_53HNC_2018-11-24_final
2018-12-11 12:06:01	ga_s2am_ard_3-2-1_50JKM_2018-12-11_final
2018-12-21 12:04:27	ga_s2am_ard_3-2-1_50JMT_2018-12-21_final
2019-01-31 11:36:58	ga_s2am_ard_3-2-1_51HTC_2019-01-31_final
2019-02-24 11:10:21	ga_s2am_ard_3-2-1_52LHN_2019-02-24_final
2019-04-10 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-04-10_final.stac-item
2019-05-18 11:23:59	ga_s2am_ard_3-2-1_51KXQ_2019-05-18_final
2019-06-02 10:36:19	ga_s2am_ard_3-2-1_53HLE_2019-06-02_final
2019-07-05 10:44:47	ga_s2am_ard_3-2-1_53JLL_2019-07-05_final
2019-07-25 10:45:49	ga_s2am_ard_3-2-1_53JKG_2019-07-25_final
2019-09-14 11:57:08	ga_s2am_ard_3-2-1_50HLH_2019-09-14_final
2019-09-21 11:47:10	ga_s2am_ard_3-2-1_50HMH_2019-09-21_final
2019-09-22 11:13:30	ga_s2am_ard_3-2-1_52KEA_2019-09-22_final
2019-09-25 11:21:39	ga_s2am_ard_3-2-1_52LBJ_2019-09-25_final
2019-11-10 11:42:48	ga_s2am_ard_3-2-1_51KUV_2019-11-10_final
2020-01-17 11:01:22	ga_s2am_ard_3-2-1_52LHJ_2020-01-17_final
2020-02-05 11:32:11	ga_s2am_ard_3-2-1_51KVB_2020-02-05_final
2020-04-16 11:00:30	ga_s2am_ard_3-2-1_52LHN_2020-04-16_final
2020-04-19 11:16:26	ga_s2am_ard_3-2-1_51HXE_2020-04-19_final
2020-04-25 11:36:21	ga_s2am_ard_3-2-1_50JQL_2020-04-25_final
2020-04-27 10:34:27	ga_s2am_ard_3-2-1_53JNM_2020-04-27_final
2020-06-17 11:43:17	ga_s2am_ard_3-2-1_51KVT_2020-06-17_final
2020-06-23 12:04:12	ga_s2am_ard_3-2-1_50KKV_2020-06-23_final.stac-item
2020-11-11 11:32:36	ga_s2am_ard_3-2-1_51KVA_2020-11-11_final
2021-01-03 11:43:31	ga_s2am_ard_3-2-1_51KUS_2021-01-03_final
2021-01-24 11:14:42	ga_s2am_ard_3-2-1_51JYM_2021-01-24_final
2021-03-15 11:12:41	ga_s2am_ard_3-2-1_52KFD_2021-03-15_final
2021-05-07 11:23:09	ga_s2am_ard_3-2-1_51KYT_2021-05-07_final
2021-05-14 11:15:29	ga_s2am_ard_3-2-1_51JXJ_2021-05-14_final
2021-05-24 11:15:40	ga_s2am_ard_3-2-1_51JYH_2021-05-24_final
2021-07-13 11:14:49	ga_s2am_ard_3-2-1_52JDR_2021-07-13_final
2021-09-17 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-09-17_final
2021-09-24 11:23:24	ga_s2am_ard_3-2-1_52KBB_2021-09-24_final
2021-10-12 10:44:15	ga_s2am_ard_3-2-1_53JMN_2021-10-12_final
2021-11-18 10:36:07	ga_s2am_ard_3-2-1_53HNE_2021-11-18_final
2022-02-03 10:26:40	ga_s2am_ard_3-2-1_53HNC_2022-02-03_final
2022-03-03 11:25:02	ga_s2am_ard_3-2-1_51JWL_2022-03-03_final
2022-03-23 11:23:53	ga_s2am_ard_3-2-1_51KZQ_2022-03-23_final
2022-03-29 11:43:21	ga_s2am_ard_3-2-1_50KRC_2022-03-29_final
2022-04-13 10:54:36	ga_s2am_ard_3-2-1_52JFS_2022-04-13_final
2022-05-01 10:16:57	ga_s2am_ard_3-2-1_53HQB_2022-05-01_final
2022-05-05 11:36:41	ga_s2am_ard_3-2-1_50HQK_2022-05-05_final
2022-05-18 11:43:27	ga_s2am_ard_3-2-1_50KQC_2022-05-18_final
2022-05-25 11:33:09	ga_s2am_ard_3-2-1_51KYT_2022-05-25_final
2022-06-19 10:44:36	ga_s2am_ard_3-2-1_53JMM_2022-06-19_final
2022-08-05 12:13:51	ga_s2am_ard_3-2-1_50KKB_2022-08-05_final
2022-10-26 11:13:07	ga_s2am_ard_3-2-1_52KDC_2022-10-26_final.stac-item
2022-11-07 11:56:18	ga_s2am_ard_3-2-1_50JKM_2022-11-07_final.stac-item
2022-11-24 11:43:14	ga_s2am_ard_3-2-1_51KUT_2022-11-24_final.stac-item
2022-11-25 11:16:19	ga_s2am_ard_3-2-1_52HBK_2022-11-25_final.stac-item
2023-01-14 11:10:59	ga_s2am_ard_3-2-1_52LFL_2023-01-14_final.stac-item
2023-01-15 10:46:06	ga_s2am_ard_3-2-1_53HLE_2023-01-15_final.stac-item
2023-01-21 11:04:42	ga_s2am_ard_3-2-1_52JER_2023-01-21_final.stac-item
2023-01-31 11:03:08	ga_s2am_ard_3-2-1_52KHB_2023-01-31_final.stac-item
2023-02-20 11:00:59	ga_s2am_ard_3-2-1_52LGL_2023-02-20_final.stac-item
2023-03-02 11:01:14	ga_s2am_ard_3-2-1_52LGK_2023-03-02_final.stac-item
2023-03-24 11:42:08	ga_s2am_ard_3-2-1_51KWB_2023-03-24_final.stac-item
2023-03-24 11:46:14	ga_s2am_ard_3-2-1_50JQL_2023-03-24_final.stac-item
2023-04-10 11:32:32	ga_s2am_ard_3-2-1_51KVA_2023-04-10_final.stac-item
2023-05-06 11:53:43	ga_s2am_ard_3-2-1_50KMB_2023-05-06_final.stac-item
2023-06-19 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2023-06-19_final.stac-item
2023-06-20 11:04:00	ga_s2am_ard_3-2-1_52KGU_2023-06-20_final.stac-item
2023-09-01 11:13:20	ga_s2am_ard_3-2-1_52KEB_2023-09-01_final.stac-item
2023-10-04 11:25:32	ga_s2am_ard_3-2-1_51JVJ_2023-10-04_final.stac-item
2023-10-30 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-10-30_final.stac-item
2023-11-16 11:35:06	ga_s2am_ard_3-2-1_51JWK_2023-11-16_final.stac-item
2023-11-16 11:36:41	ga_s2am_ard_3-2-1_51HUD_2023-11-16_final.stac-item
2024-01-20 10:45:57	ga_s2am_ard_3-2-1_53HME_2024-01-20_final.stac-item
2024-01-22 11:24:11	ga_s2am_ard_3-2-1_52JBT_2024-01-22_final.stac-item
2024-01-29 11:10:32	ga_s2am_ard_3-2-1_52LHM_2024-01-29_final.stac-item
2024-02-08 11:11:40	ga_s2am_ard_3-2-1_52LFH_2024-02-08_final.stac-item
2024-03-08 11:44:51	ga_s2am_ard_3-2-1_51JUL_2024-03-08_final.stac-item
2024-03-12 11:21:47	ga_s2am_ard_3-2-1_52LDH_2024-03-12_final.stac-item
2024-03-18 11:43:30	ga_s2am_ard_3-2-1_51KUS_2024-03-18_final.stac-item
2024-04-12 10:54:22	ga_s2am_ard_3-2-1_52JFT_2024-04-12_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