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
2015-08-01 11:04:34	ga_s2am_ard_3-2-1_52JES_2015-08-01_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_52KCB_2016-05-03_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KTT_2016-06-18_final.stac-item
2016-07-16 10:57:59	ga_s2am_ard_3-2-1_52KFF_2016-07-16_final.stac-item
2016-09-20 11:16:54	ga_s2am_ard_3-2-1_52LDJ_2016-09-20_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KTU_2017-01-14_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51KZR_2017-03-19_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KRC_2017-12-30_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KFC_2018-01-10_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_52KBV_2018-01-20_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_52JFM_2018-02-13_final
2018-04-08 10:27:08	ga_s2am_ard_3-2-1_53JNM_2018-04-08_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52JEQ_2018-05-07_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51KZR_2018-05-13_final
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_52KDV_2018-05-20_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_52KBB_2018-09-10_final
2018-09-11 10:47:22	ga_s2am_ard_3-2-1_53LPG_2018-09-11_final
2018-09-18 10:37:23	ga_s2am_ard_3-2-1_53KMT_2018-09-18_final
2018-09-22 10:17:01	ga_s2am_ard_3-2-1_53HPC_2018-09-22_final
2018-09-30 11:16:55	ga_s2am_ard_3-2-1_52KBA_2018-09-30_final
2018-10-02 10:17:02	ga_s2am_ard_3-2-1_53JQH_2018-10-02_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_53LKH_2018-11-03_final
2018-11-16 11:10:52	ga_s2am_ard_3-2-1_52LGL_2018-11-16_final
2019-01-31 11:33:10	ga_s2am_ard_3-2-1_51KWT_2019-01-31_final
2019-02-14 11:13:37	ga_s2am_ard_3-2-1_51KZR_2019-02-14_final
2019-02-15 10:41:42	ga_s2am_ard_3-2-1_53KRB_2019-02-15_final
2019-02-18 10:55:24	ga_s2am_ard_3-2-1_52JGN_2019-02-18_final
2019-02-23 11:43:39	ga_s2am_ard_3-2-1_51KUR_2019-02-23_final
2019-02-28 10:52:47	ga_s2am_ard_3-2-1_53KMT_2019-02-28_final
2019-03-15 11:43:08	ga_s2am_ard_3-2-1_51KVT_2019-03-15_final
2019-04-15 11:13:42	ga_s2am_ard_3-2-1_51KZR_2019-04-15_final
2019-05-12 11:02:48	ga_s2am_ard_3-2-1_52KGD_2019-05-12_final
2019-05-13 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2019-05-13_final
2019-05-21 11:32:32	ga_s2am_ard_3-2-1_51KWA_2019-05-21_final
2019-05-21 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-05-21_final
2019-05-30 10:24:07	ga_s2am_ard_3-2-1_53JRN_2019-05-30_final
2019-06-23 11:43:22	ga_s2am_ard_3-2-1_50KRC_2019-06-23_final
2019-07-14 11:14:58	ga_s2am_ard_3-2-1_52JBR_2019-07-14_final
2019-10-15 11:21:38	ga_s2am_ard_3-2-1_52LCJ_2019-10-15_final
2019-11-20 11:43:16	ga_s2am_ard_3-2-1_51KUT_2019-11-20_final
2019-12-30 11:42:51	ga_s2am_ard_3-2-1_51KVU_2019-12-30_final
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final
2020-01-28 10:32:44	ga_s2am_ard_3-2-1_53KQT_2020-01-28_final
2020-03-03 11:26:18	ga_s2am_ard_3-2-1_51HXE_2020-03-03_final
2020-03-20 11:15:07	ga_s2am_ard_3-2-1_51JYK_2020-03-20_final
2020-04-02 11:23:17	ga_s2am_ard_3-2-1_51KZS_2020-04-02_final
2020-04-05 11:32:29	ga_s2am_ard_3-2-1_51KVA_2020-04-05_final
2020-05-05 11:34:14	ga_s2am_ard_3-2-1_51KWP_2020-05-05_final
2020-06-30 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-06-30_final
2020-07-15 11:04:11	ga_s2am_ard_3-2-1_52KDU_2020-07-15_final
2020-07-18 11:14:14	ga_s2am_ard_3-2-1_51KZP_2020-07-18_final
2020-08-06 11:43:06	ga_s2am_ard_3-2-1_51KUU_2020-08-06_final
2020-08-10 11:21:38	ga_s2am_ard_3-2-1_52LDJ_2020-08-10_final
2020-09-24 10:33:36	ga_s2am_ard_3-2-1_53KRQ_2020-09-24_final
2020-09-29 11:23:22	ga_s2am_ard_3-2-1_52KCB_2020-09-29_final
2020-10-14 10:36:23	ga_s2am_ard_3-2-1_53HPD_2020-10-14_final
2020-11-09 10:51:08	ga_s2am_ard_3-2-1_53LPE_2020-11-09_final
2021-02-10 11:02:53	ga_s2am_ard_3-2-1_53KKT_2021-02-10_final
2021-02-11 10:32:03	ga_s2am_ard_3-2-1_53KRA_2021-02-11_final
2021-02-20 11:06:17	ga_s2am_ard_3-2-1_52HDK_2021-02-20_final.stac-item
2021-02-23 11:10:43	ga_s2am_ard_3-2-1_52LGM_2021-02-23_final
2021-03-01 11:36:34	ga_s2am_ard_3-2-1_50HQK_2021-03-01_final
2021-03-20 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-03-20_final
2021-04-26 11:56:37	ga_s2am_ard_3-2-1_50HLK_2021-04-26_final
2021-06-19 11:33:23	ga_s2am_ard_3-2-1_51KUT_2021-06-19_final
2021-07-18 10:26:50	ga_s2am_ard_3-2-1_53HQB_2021-07-18_final
2021-08-01 11:43:07	ga_s2am_ard_3-2-1_50KRD_2021-08-01_final
2021-09-01 11:13:35	ga_s2am_ard_3-2-1_52KDA_2021-09-01_final
2022-01-31 11:56:11	ga_s2am_ard_3-2-1_50JLM_2022-01-31_final
2022-02-08 11:10:24	ga_s2am_ard_3-2-1_52LHN_2022-02-08_final
2022-03-23 11:26:10	ga_s2am_ard_3-2-1_51JXF_2022-03-23_final
2022-04-26 11:03:47	ga_s2am_ard_3-2-1_52KGV_2022-04-26_final
2022-05-16 11:04:48	ga_s2am_ard_3-2-1_52JFR_2022-05-16_final
2022-06-06 10:36:15	ga_s2am_ard_3-2-1_53HNE_2022-06-06_final
2022-07-13 10:27:18	ga_s2am_ard_3-2-1_53HPA_2022-07-13_final
2022-08-12 10:26:01	ga_s2am_ard_3-2-1_53JQF_2022-08-12_final
2022-08-31 10:54:39	ga_s2am_ard_3-2-1_53JKM_2022-08-31_final
2022-09-22 11:33:05	ga_s2am_ard_3-2-1_51KWU_2022-09-22_final.stac-item
2022-10-29 11:24:05	ga_s2am_ard_3-2-1_51KWQ_2022-10-29_final.stac-item
2022-10-30 10:50:53	ga_s2am_ard_3-2-1_53LPF_2022-10-30_final.stac-item
2022-11-10 10:26:36	ga_s2am_ard_3-2-1_53HQC_2022-11-10_final.stac-item
2022-11-14 11:46:18	ga_s2am_ard_3-2-1_50JQL_2022-11-14_final.stac-item
2022-12-25 11:10:27	ga_s2am_ard_3-2-1_52LGN_2022-12-25_final.stac-item
2023-01-05 10:45:46	ga_s2am_ard_3-2-1_52JGM_2023-01-05_final.stac-item
2023-01-20 11:32:49	ga_s2am_ard_3-2-1_51KXU_2023-01-20_final.stac-item
2023-02-07 10:52:04	ga_s2am_ard_3-2-1_53KNA_2023-02-07_final.stac-item
2023-03-03 10:34:29	ga_s2am_ard_3-2-1_53JQL_2023-03-03_final.stac-item
2023-03-09 10:52:15	ga_s2am_ard_3-2-1_53KNV_2023-03-09_final.stac-item
2023-03-13 10:33:34	ga_s2am_ard_3-2-1_53KPQ_2023-03-13_final.stac-item
2023-04-10 11:34:11	ga_s2am_ard_3-2-1_51KWP_2023-04-10_final.stac-item
2023-05-29 12:04:31	ga_s2am_ard_3-2-1_49KHP_2023-05-29_final.stac-item
2023-08-29 11:03:25	ga_s2am_ard_3-2-1_52KEB_2023-08-29_final.stac-item
2023-11-15 10:26:31	ga_s2am_ard_3-2-1_53HQC_2023-11-15_final.stac-item
2023-11-17 11:05:35	ga_s2am_ard_3-2-1_52JCN_2023-11-17_final.stac-item
2023-11-30 11:13:46	ga_s2am_ard_3-2-1_52KBV_2023-11-30_final.stac-item
2024-02-09 10:45:36	ga_s2am_ard_3-2-1_53JLG_2024-02-09_final.stac-item
2024-02-28 11:11:44	ga_s2am_ard_3-2-1_52LFH_2024-02-28_final.stac-item
2024-02-28 11:12:38	ga_s2am_ard_3-2-1_52KCE_2024-02-28_final.stac-item
2024-03-16 11:00:48	ga_s2am_ard_3-2-1_52LGM_2024-03-16_final.stac-item
2024-03-29 11:13:39	ga_s2am_ard_3-2-1_52KBA_2024-03-29_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