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
2015-08-28 10:51:18	ga_s2am_ard_3-2-1_52KHF_2015-08-28_final.stac-item
2015-10-23 11:08:22	ga_s2am_ard_3-2-1_52KEE_2015-10-23_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HLG_2016-04-19_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HQK_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KVR_2016-06-18_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KWQ_2016-07-02_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KVU_2016-07-15_final.stac-item
2016-08-08 11:12:18	ga_s2am_ard_3-2-1_52KEV_2016-08-08_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JNL_2016-09-19_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51KVQ_2016-11-02_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50KRC_2017-02-16_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51KYV_2017-02-20_final
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_51KVU_2017-03-05_final.stac-item
2017-04-12 11:02:10	ga_s2am_ard_3-2-1_52KEV_2017-04-12_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KUS_2017-07-10_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51KZP_2017-10-05_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_50KKA_2017-10-10_final
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_52KBB_2017-10-25_final
2017-11-07 11:26:54	ga_s2am_ard_3-2-1_51LWC_2017-11-07_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KWU_2018-02-25_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HUC_2018-03-04_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51KXR_2018-03-14_final
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51KVT_2018-03-20_final
2018-03-28 11:00:18	ga_s2am_ard_3-2-1_52KEB_2018-03-28_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HPH_2018-03-30_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52KBU_2018-06-19_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51KWP_2018-10-03_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50KPC_2018-10-09_final
2018-12-08 11:53:13	ga_s2am_ard_3-2-1_50KPC_2018-12-08_final
2018-12-16 11:13:21	ga_s2am_ard_3-2-1_52KEA_2018-12-16_final
2018-12-19 11:23:41	ga_s2am_ard_3-2-1_51KZQ_2018-12-19_final
2019-01-25 11:13:54	ga_s2am_ard_3-2-1_52KEU_2019-01-25_final
2019-03-12 11:33:29	ga_s2am_ard_3-2-1_51KUS_2019-03-12_final
2019-04-01 11:31:18	ga_s2am_ard_3-2-1_52LBK_2019-04-01_final
2019-04-05 11:13:40	ga_s2am_ard_3-2-1_52KBA_2019-04-05_final
2019-04-12 11:03:15	ga_s2am_ard_3-2-1_52KGB_2019-04-12_final
2019-04-14 11:45:13	ga_s2am_ard_3-2-1_50JNR_2019-04-14_final
2019-04-18 11:27:10	ga_s2am_ard_3-2-1_51HTC_2019-04-18_final
2019-04-27 11:53:14	ga_s2am_ard_3-2-1_50KRC_2019-04-27_final
2019-05-02 11:06:21	ga_s2am_ard_3-2-1_52HDK_2019-05-02_final.stac-item
2019-05-11 11:31:33	ga_s2am_ard_3-2-1_52LBJ_2019-05-11_final
2019-05-19 10:55:35	ga_s2am_ard_3-2-1_52JFN_2019-05-19_final
2019-06-14 11:15:03	ga_s2am_ard_3-2-1_52JDQ_2019-06-14_final
2019-07-30 11:37:26	ga_s2am_ard_3-2-1_50HPG_2019-07-30_final.stac-item
2019-08-13 11:13:51	ga_s2am_ard_3-2-1_52KDV_2019-08-13_final
2019-08-19 11:33:04	ga_s2am_ard_3-2-1_51KVU_2019-08-19_final
2019-09-22 11:13:44	ga_s2am_ard_3-2-1_52KEV_2019-09-22_final
2019-09-25 11:23:54	ga_s2am_ard_3-2-1_51KYQ_2019-09-25_final
2019-10-15 11:22:30	ga_s2am_ard_3-2-1_51KYA_2019-10-15_final
2019-11-04 11:23:53	ga_s2am_ard_3-2-1_51KZQ_2019-11-04_final
2020-01-10 11:14:32	ga_s2am_ard_3-2-1_52JBS_2020-01-10_final
2020-02-06 11:02:39	ga_s2am_ard_3-2-1_52KFD_2020-02-06_final
2020-03-03 11:21:49	ga_s2am_ard_3-2-1_52LBH_2020-03-03_final
2020-03-18 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-18_final
2020-04-12 11:21:37	ga_s2am_ard_3-2-1_52LBJ_2020-04-12_final
2020-05-28 11:47:23	ga_s2am_ard_3-2-1_50HPG_2020-05-28_final.stac-item
2020-07-11 11:27:06	ga_s2am_ard_3-2-1_51HUC_2020-07-11_final
2020-08-29 11:54:16	ga_s2am_ard_3-2-1_50KMV_2020-08-29_final
2020-09-26 11:13:57	ga_s2am_ard_3-2-1_52KCV_2020-09-26_final
2020-11-03 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-11-03_final
2020-11-28 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2020-11-28_final
2020-12-05 11:13:06	ga_s2am_ard_3-2-1_52KCC_2020-12-05_final
2020-12-08 11:23:32	ga_s2am_ard_3-2-1_52KBA_2020-12-08_final
2021-01-04 11:13:27	ga_s2am_ard_3-2-1_52KCA_2021-01-04_final
2021-01-10 11:35:42	ga_s2am_ard_3-2-1_51JVH_2021-01-10_final
2021-01-27 11:23:14	ga_s2am_ard_3-2-1_51KXT_2021-01-27_final
2021-02-22 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2021-02-22_final
2021-05-10 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2021-05-10_final
2021-05-11 11:04:17	ga_s2am_ard_3-2-1_52JET_2021-05-11_final
2021-05-31 11:03:32	ga_s2am_ard_3-2-1_52KFA_2021-05-31_final
2021-09-08 11:03:56	ga_s2am_ard_3-2-1_52KGU_2021-09-08_final
2021-09-21 11:14:26	ga_s2am_ard_3-2-1_51JZN_2021-09-21_final
2021-10-20 11:46:18	ga_s2am_ard_3-2-1_50JMM_2021-10-20_final
2021-11-13 11:22:57	ga_s2am_ard_3-2-1_51KYU_2021-11-13_final
2021-11-13 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2021-11-13_final
2021-11-19 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-11-19_final
2021-12-12 11:54:04	ga_s2am_ard_3-2-1_50KPV_2021-12-12_final
2022-01-24 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-01-24_final
2022-09-09 11:23:03	ga_s2am_ard_3-2-1_51KZU_2022-09-09_final.stac-item
2022-10-15 11:46:19	ga_s2am_ard_3-2-1_50JQL_2022-10-15_final.stac-item
2022-12-11 11:34:18	ga_s2am_ard_3-2-1_51KUP_2022-12-11_final.stac-item
2023-01-29 12:03:39	ga_s2am_ard_3-2-1_50KLB_2023-01-29_final.stac-item
2023-03-01 11:33:45	ga_s2am_ard_3-2-1_51KUR_2023-03-01_final.stac-item
2023-04-23 11:41:17	ga_s2am_ard_3-2-1_51LUF_2023-04-23_final.stac-item
2023-05-18 10:54:02	ga_s2am_ard_3-2-1_52KGU_2023-05-18_final.stac-item
2023-06-27 10:52:34	ga_s2am_ard_3-2-1_52KHE_2023-06-27_final.stac-item
2023-07-23 11:13:45	ga_s2am_ard_3-2-1_51KZR_2023-07-23_final.stac-item
2023-08-15 11:23:27	ga_s2am_ard_3-2-1_51KZS_2023-08-15_final.stac-item
2023-09-08 11:06:04	ga_s2am_ard_3-2-1_52JEL_2023-09-08_final.stac-item
2023-10-07 11:33:48	ga_s2am_ard_3-2-1_51KUR_2023-10-07_final.stac-item
2023-11-16 11:34:09	ga_s2am_ard_3-2-1_51KWP_2023-11-16_final.stac-item
2023-11-23 11:25:52	ga_s2am_ard_3-2-1_51JWG_2023-11-23_final.stac-item
2023-12-19 11:44:41	ga_s2am_ard_3-2-1_50JRS_2023-12-19_final.stac-item
2023-12-30 11:15:30	ga_s2am_ard_3-2-1_52JCN_2023-12-30_final.stac-item
2024-01-02 11:24:01	ga_s2am_ard_3-2-1_51KZP_2024-01-02_final.stac-item
2024-01-28 11:42:40	ga_s2am_ard_3-2-1_51KUV_2024-01-28_final.stac-item
2024-02-18 11:12:04	ga_s2am_ard_3-2-1_52KDG_2024-02-18_final.stac-item
2024-02-28 11:13:40	ga_s2am_ard_3-2-1_51KZR_2024-02-28_final.stac-item
2024-03-08 11:44:20	ga_s2am_ard_3-2-1_50KQU_2024-03-08_final.stac-item
2024-03-23 10:55:57	ga_s2am_ard_3-2-1_52JGL_2024-03-23_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