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
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHR_2016-05-15_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52JDT_2016-05-20_final.stac-item
2016-10-01 10:52:12	ga_s2am_ard_3-2-1_52JGT_2016-10-01_final.stac-item
2016-11-26 11:10:57	ga_s2am_ard_3-2-1_52KCG_2016-11-26_final.stac-item
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_50HQG_2017-05-31_final.stac-item
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KVS_2017-06-20_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JKS_2017-08-08_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_51KUT_2017-09-21_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXS_2017-11-07_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KUB_2017-11-20_final.stac-item
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_52LDJ_2018-02-02_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51JTK_2018-02-08_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51KXQ_2018-04-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYS_2018-05-23_final
2018-07-28 11:40:21	ga_s2am_ard_3-2-1_51KUB_2018-07-28_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLH_2018-07-31_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JFL_2018-08-02_final
2018-08-31 11:16:57	ga_s2am_ard_3-2-1_51KYT_2018-08-31_final
2018-10-01 10:47:21	ga_s2am_ard_3-2-1_52JFS_2018-10-01_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_51KZQ_2018-10-17_final
2018-11-18 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2018-11-18_final
2019-02-24 11:15:53	ga_s2am_ard_3-2-1_51JXG_2019-02-24_final
2019-03-30 10:55:31	ga_s2am_ard_3-2-1_52JFN_2019-03-30_final
2019-04-21 11:33:30	ga_s2am_ard_3-2-1_51KWS_2019-04-21_final
2019-06-03 11:43:31	ga_s2am_ard_3-2-1_51KUS_2019-06-03_final
2019-06-17 11:23:37	ga_s2am_ard_3-2-1_51KYR_2019-06-17_final
2019-06-19 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2019-06-19_final
2019-06-20 11:33:06	ga_s2am_ard_3-2-1_51KXU_2019-06-20_final
2019-06-27 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2019-06-27_final
2019-07-30 11:33:46	ga_s2am_ard_3-2-1_51KWR_2019-07-30_final
2019-08-06 11:23:32	ga_s2am_ard_3-2-1_51KXS_2019-08-06_final
2019-08-29 11:32:59	ga_s2am_ard_3-2-1_51KWU_2019-08-29_final
2019-10-01 11:43:13	ga_s2am_ard_3-2-1_51KVT_2019-10-01_final
2019-12-07 11:33:39	ga_s2am_ard_3-2-1_51KWR_2019-12-07_final
2019-12-19 12:13:33	ga_s2am_ard_3-2-1_50KKB_2019-12-19_final
2020-01-03 11:23:59	ga_s2am_ard_3-2-1_52KBU_2020-01-03_final
2020-03-16 11:33:41	ga_s2am_ard_3-2-1_51KVR_2020-03-16_final
2020-04-05 11:32:25	ga_s2am_ard_3-2-1_51KWA_2020-04-05_final
2020-04-15 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2020-04-15_final
2020-04-22 11:25:35	ga_s2am_ard_3-2-1_51JYH_2020-04-22_final
2020-04-24 12:04:33	ga_s2am_ard_3-2-1_49KGP_2020-04-24_final
2020-05-22 11:22:43	ga_s2am_ard_3-2-1_52KBE_2020-05-22_final
2020-05-22 11:23:30	ga_s2am_ard_3-2-1_51KYS_2020-05-22_final
2020-05-24 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-05-24_final
2020-05-28 11:43:06	ga_s2am_ard_3-2-1_51KUU_2020-05-28_final
2020-05-28 11:43:21	ga_s2am_ard_3-2-1_51KUT_2020-05-28_final
2020-06-21 11:23:45	ga_s2am_ard_3-2-1_51KYR_2020-06-21_final
2020-07-21 11:23:33	ga_s2am_ard_3-2-1_51KXS_2020-07-21_final
2020-10-28 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-10-28_final
2020-11-28 11:23:29	ga_s2am_ard_3-2-1_51KXS_2020-11-28_final
2020-12-21 11:33:44	ga_s2am_ard_3-2-1_51KVR_2020-12-21_final
2020-12-28 11:22:18	ga_s2am_ard_3-2-1_52KCF_2020-12-28_final
2021-01-27 11:26:41	ga_s2am_ard_3-2-1_51HWD_2021-01-27_final
2021-01-31 11:02:55	ga_s2am_ard_3-2-1_52KHC_2021-01-31_final
2021-02-06 11:23:13	ga_s2am_ard_3-2-1_51KXT_2021-02-06_final
2021-03-03 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-03-03_final
2021-03-10 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-03-10_final
2021-04-21 11:03:44	ga_s2am_ard_3-2-1_52KEV_2021-04-21_final
2021-04-27 11:23:22	ga_s2am_ard_3-2-1_51KYS_2021-04-27_final
2021-05-23 11:43:12	ga_s2am_ard_3-2-1_51KVT_2021-05-23_final
2021-06-16 11:24:23	ga_s2am_ard_3-2-1_51JYN_2021-06-16_final
2021-07-07 10:55:45	ga_s2am_ard_3-2-1_52JGM_2021-07-07_final
2021-07-12 11:42:30	ga_s2am_ard_3-2-1_51KVA_2021-07-12_final
2021-08-01 11:43:06	ga_s2am_ard_3-2-1_51KTU_2021-08-01_final
2021-08-15 11:23:13	ga_s2am_ard_3-2-1_51KYT_2021-08-15_final
2021-09-20 11:43:27	ga_s2am_ard_3-2-1_51KVS_2021-09-20_final
2021-10-04 11:27:06	ga_s2am_ard_3-2-1_51HUC_2021-10-04_final
2022-02-01 11:21:25	ga_s2am_ard_3-2-1_51LZE_2022-02-01_final
2022-03-06 11:34:19	ga_s2am_ard_3-2-1_51JXN_2022-03-06_final
2022-04-02 11:24:10	ga_s2am_ard_3-2-1_51KYP_2022-04-02_final
2022-05-05 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2022-05-05_final
2022-06-01 11:21:32	ga_s2am_ard_3-2-1_52LBK_2022-06-01_final
2022-06-11 11:25:13	ga_s2am_ard_3-2-1_51JVL_2022-06-11_final
2022-06-11 11:26:10	ga_s2am_ard_3-2-1_51JVG_2022-06-11_final
2022-06-14 11:33:32	ga_s2am_ard_3-2-1_51KUT_2022-06-14_final
2022-06-16 12:14:24	ga_s2am_ard_3-2-1_49KGQ_2022-06-16_final
2022-08-03 11:33:38	ga_s2am_ard_3-2-1_51KWS_2022-08-03_final
2022-08-19 13:31:46	ga_s2am_ard_3-2-1_47LKH_2022-08-19_interim.stac-item
2022-09-02 11:33:50	ga_s2am_ard_3-2-1_51KXR_2022-09-02_final.stac-item
2022-09-05 11:46:31	ga_s2am_ard_3-2-1_50JPL_2022-09-05_final.stac-item
2022-09-15 11:43:34	ga_s2am_ard_3-2-1_51KVS_2022-09-15_final.stac-item
2022-10-06 11:13:37	ga_s2am_ard_3-2-1_52KEA_2022-10-06_final.stac-item
2022-10-13 11:05:01	ga_s2am_ard_3-2-1_52JCR_2022-10-13_final.stac-item
2022-12-18 11:23:49	ga_s2am_ard_3-2-1_52KBV_2022-12-18_final.stac-item
2023-01-10 11:34:16	ga_s2am_ard_3-2-1_51KUP_2023-01-10_final.stac-item
2023-01-27 11:26:12	ga_s2am_ard_3-2-1_51JVF_2023-01-27_final.stac-item
2023-03-04 11:43:01	ga_s2am_ard_3-2-1_50KRD_2023-03-04_final.stac-item
2023-03-20 12:03:22	ga_s2am_ard_3-2-1_50KMC_2023-03-20_final.stac-item
2023-04-04 11:13:54	ga_s2am_ard_3-2-1_52KBV_2023-04-04_final.stac-item
2023-11-26 11:32:56	ga_s2am_ard_3-2-1_51KVU_2023-11-26_final.stac-item
2023-11-28 12:14:49	ga_s2am_ard_3-2-1_49JGM_2023-11-28_final.stac-item
2023-12-18 12:14:41	ga_s2am_ard_3-2-1_49JFN_2023-12-18_final.stac-item
2024-02-14 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2024-02-14_final.stac-item
2024-03-05 11:32:20	ga_s2am_ard_3-2-1_51KVB_2024-03-05_final.stac-item
2024-03-05 11:33:48	ga_s2am_ard_3-2-1_51KUR_2024-03-05_final.stac-item
2024-03-08 11:44:45	ga_s2am_ard_3-2-1_50JPT_2024-03-08_final.stac-item
2024-03-11 11:54:01	ga_s2am_ard_3-2-1_50KQV_2024-03-11_final.stac-item
2024-03-28 11:42:17	ga_s2am_ard_3-2-1_51KUB_2024-03-28_final.stac-item
2024-04-14 11:33:40	ga_s2am_ard_3-2-1_51KXR_2024-04-14_final.stac-item
2024-04-14 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2024-04-14_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