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
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_53KNB_2016-03-15_final.stac-item
2016-04-28 10:34:09	ga_s2am_ard_3-2-1_53HQE_2016-04-28_final.stac-item
2016-06-13 10:48:22	ga_s2am_ard_3-2-1_53JKJ_2016-06-13_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KKV_2016-06-24_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KVS_2016-08-04_final.stac-item
2016-10-12 10:19:54	ga_s2am_ard_3-2-1_54HTJ_2016-10-12_final.stac-item
2016-11-13 11:01:05	ga_s2am_ard_3-2-1_52HDK_2016-11-13_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDM_2016-12-13_final
2017-01-03 10:33:32	ga_s2am_ard_3-2-1_53HPA_2017-01-03_final
2017-03-31 10:26:33	ga_s2am_ard_3-2-1_53HNC_2017-03-31_final
2017-05-26 10:37:30	ga_s2am_ard_3-2-1_53LPG_2017-05-26_final
2017-06-29 10:23:05	ga_s2am_ard_3-2-1_53HQC_2017-06-29_final
2017-08-27 10:47:25	ga_s2am_ard_3-2-1_53LMG_2017-08-27_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXR_2017-11-07_final
2017-12-16 10:26:32	ga_s2am_ard_3-2-1_53HQB_2017-12-16_final
2017-12-21 11:10:31	ga_s2am_ard_3-2-1_52LFL_2017-12-21_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_52KCB_2018-01-13_final
2018-01-20 11:07:06	ga_s2am_ard_3-2-1_52LGK_2018-01-20_final
2018-01-27 10:57:11	ga_s2am_ard_3-2-1_52KHE_2018-01-27_final
2018-01-27 10:57:11	ga_s2am_ard_3-2-1_52LGL_2018-01-27_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JXF_2018-02-19_final
2018-02-27 10:32:29	ga_s2am_ard_3-2-1_53HQE_2018-02-27_final
2018-03-02 10:37:24	ga_s2am_ard_3-2-1_53KRB_2018-03-02_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JMR_2018-04-22_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKP_2018-06-04_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50KKV_2018-06-14_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KUT_2018-06-18_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50KMV_2018-07-04_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_51KVT_2018-07-08_final
2018-07-22 11:23:33	ga_s2am_ard_3-2-1_52KBV_2018-07-22_final
2018-07-30 10:37:28	ga_s2am_ard_3-2-1_53JMF_2018-07-30_final
2018-08-09 10:37:27	ga_s2am_ard_3-2-1_53KMU_2018-08-09_final
2018-11-15 11:41:13	ga_s2am_ard_3-2-1_51LUF_2018-11-15_final
2018-12-01 12:06:01	ga_s2am_ard_3-2-1_50JKM_2018-12-01_final
2019-03-14 10:36:55	ga_s2am_ard_3-2-1_53HPA_2019-03-14_final
2019-05-16 10:46:13	ga_s2am_ard_3-2-1_53HLE_2019-05-16_final
2019-06-10 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-06-10_final
2019-07-14 11:15:42	ga_s2am_ard_3-2-1_52JBN_2019-07-14_final
2019-09-23 10:43:59	ga_s2am_ard_3-2-1_53KLP_2019-09-23_final
2019-10-19 11:03:57	ga_s2am_ard_3-2-1_52KDV_2019-10-19_final
2020-01-24 10:50:46	ga_s2am_ard_3-2-1_53LNF_2020-01-24_final
2020-02-12 11:26:33	ga_s2am_ard_3-2-1_51HWD_2020-02-12_final
2020-03-06 11:32:10	ga_s2am_ard_3-2-1_51KWB_2020-03-06_final
2020-03-24 10:55:42	ga_s2am_ard_3-2-1_52JFM_2020-03-24_final
2020-04-22 11:23:22	ga_s2am_ard_3-2-1_51KZS_2020-04-22_final
2020-04-26 11:03:55	ga_s2am_ard_3-2-1_52KDV_2020-04-26_final
2020-05-20 10:44:00	ga_s2am_ard_3-2-1_53KMP_2020-05-20_final
2020-05-22 11:22:43	ga_s2am_ard_3-2-1_52KBE_2020-05-22_final
2020-05-24 12:04:12	ga_s2am_ard_3-2-1_49KHR_2020-05-24_final
2020-06-23 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-06-23_final
2020-08-09 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-08-09_final
2020-08-23 11:33:47	ga_s2am_ard_3-2-1_51KWR_2020-08-23_final
2020-12-20 10:26:29	ga_s2am_ard_3-2-1_54HTH_2020-12-20_final
2020-12-25 11:10:28	ga_s2am_ard_3-2-1_52LGN_2020-12-25_final
2021-03-19 10:54:25	ga_s2am_ard_3-2-1_53JKM_2021-03-19_final
2021-03-24 11:43:31	ga_s2am_ard_3-2-1_50KRB_2021-03-24_final
2021-03-30 10:26:48	ga_s2am_ard_3-2-1_54HUF_2021-03-30_final
2021-04-09 10:26:36	ga_s2am_ard_3-2-1_54HUG_2021-04-09_final
2021-06-03 11:13:20	ga_s2am_ard_3-2-1_52KDB_2021-06-03_final
2021-07-22 10:07:33	ga_s2am_ard_3-2-1_54HVD_2021-07-22_final
2021-08-27 12:03:25	ga_s2am_ard_3-2-1_50KMC_2021-08-27_final
2021-11-02 10:17:09	ga_s2am_ard_3-2-1_53HQA_2021-11-02_final
2021-11-20 11:15:48	ga_s2am_ard_3-2-1_52JCM_2021-11-20_final
2021-12-27 11:01:10	ga_s2am_ard_3-2-1_53LLE_2021-12-27_final
2021-12-29 11:42:33	ga_s2am_ard_3-2-1_51KUA_2021-12-29_final
2022-01-04 10:27:07	ga_s2am_ard_3-2-1_53HPA_2022-01-04_final
2022-01-26 11:02:10	ga_s2am_ard_3-2-1_53KKA_2022-01-26_final
2022-02-04 11:31:56	ga_s2am_ard_3-2-1_51LXC_2022-02-04_final
2022-03-05 12:03:48	ga_s2am_ard_3-2-1_50KKB_2022-03-05_final
2022-03-06 11:36:35	ga_s2am_ard_3-2-1_50HPK_2022-03-06_final
2022-05-01 11:56:31	ga_s2am_ard_3-2-1_50JLL_2022-05-01_final
2022-06-19 10:46:07	ga_s2am_ard_3-2-1_53JLF_2022-06-19_final
2022-06-20 11:57:03	ga_s2am_ard_3-2-1_50HMJ_2022-06-20_final
2022-06-21 11:24:01	ga_s2am_ard_3-2-1_52KBV_2022-06-21_final
2022-10-02 11:36:21	ga_s2am_ard_3-2-1_51JUF_2022-10-02_final.stac-item
2022-10-11 10:26:46	ga_s2am_ard_3-2-1_54HUG_2022-10-11_final.stac-item
2022-11-29 10:51:10	ga_s2am_ard_3-2-1_53LME_2022-11-29_final.stac-item
2022-12-13 10:33:45	ga_s2am_ard_3-2-1_53KRP_2022-12-13_final.stac-item
2023-01-01 11:03:33	ga_s2am_ard_3-2-1_52KEA_2023-01-01_final.stac-item
2023-01-05 10:42:17	ga_s2am_ard_3-2-1_53KQV_2023-01-05_final.stac-item
2023-01-05 10:43:22	ga_s2am_ard_3-2-1_53KNR_2023-01-05_final.stac-item
2023-02-28 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2023-02-28_final.stac-item
2023-03-24 11:46:28	ga_s2am_ard_3-2-1_50HQK_2023-03-24_final.stac-item
2023-03-31 11:35:49	ga_s2am_ard_3-2-1_50JQN_2023-03-31_final.stac-item
2023-04-22 10:33:33	ga_s2am_ard_3-2-1_53KQQ_2023-04-22_final.stac-item
2023-06-01 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-06-01_final.stac-item
2023-06-03 11:16:05	ga_s2am_ard_3-2-1_52JCL_2023-06-03_final.stac-item
2023-06-30 11:03:12	ga_s2am_ard_3-2-1_53KKS_2023-06-30_final.stac-item
2023-07-03 12:51:04	ga_s2am_ard_3-2-1_48LWP_2023-07-03_final.stac-item
2023-07-09 11:33:36	ga_s2am_ard_3-2-1_51KVS_2023-07-09_final.stac-item
2023-07-09 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2023-07-09_final.stac-item
2023-08-06 10:52:28	ga_s2am_ard_3-2-1_53KMV_2023-08-06_final.stac-item
2023-08-25 11:21:16	ga_s2am_ard_3-2-1_52LBL_2023-08-25_nrt.stac-item
2023-08-28 11:34:55	ga_s2am_ard_3-2-1_51JTM_2023-08-28_final.stac-item
2023-11-30 11:10:17	ga_s2am_ard_3-2-1_52LHN_2023-11-30_final.stac-item
2023-12-19 11:46:09	ga_s2am_ard_3-2-1_50JMM_2023-12-19_final.stac-item
2024-03-06 11:02:52	ga_s2am_ard_3-2-1_52KED_2024-03-06_final.stac-item
2024-03-15 11:37:00	ga_s2am_ard_3-2-1_51HTC_2024-03-15_final.stac-item
2024-05-09 10:44:12	ga_s2am_ard_3-2-1_53JMN_2024-05-09_final.stac-item
2024-05-23 10:26:35	ga_s2am_ard_3-2-1_53HPC_2024-05-23_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