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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_51JTM_2015-11-21_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JKS_2016-01-06_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNP_2016-07-21_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JML_2016-07-28_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JCL_2016-09-14_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HMJ_2016-10-26_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KMA_2016-12-21_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JYN_2017-01-18_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HQJ_2017-08-19_final
2017-09-22 11:11:57	ga_s2am_ard_3-2-1_51HYE_2017-09-22_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50JLN_2017-09-27_final
2017-09-29 11:02:55	ga_s2am_ard_3-2-1_52JDS_2017-09-29_final
2017-11-07 11:26:54	ga_s2am_ard_3-2-1_51LYD_2017-11-07_final
2017-11-28 11:02:54	ga_s2am_ard_3-2-1_52JEM_2017-11-28_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JGK_2018-01-15_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KZR_2018-02-02_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVA_2018-02-15_final
2018-02-23 10:53:12	ga_s2am_ard_3-2-1_52JFM_2018-02-23_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JVK_2018-02-25_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HQJ_2018-04-09_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50JPL_2018-04-16_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51KYS_2018-05-03_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51LUF_2018-05-19_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KCD_2018-05-23_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDM_2018-06-06_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JCQ_2018-06-09_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JDT_2018-06-19_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51HVD_2018-07-02_final
2018-08-05 10:57:16	ga_s2am_ard_3-2-1_52JFR_2018-08-05_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50HPK_2018-08-24_final
2018-10-30 11:16:56	ga_s2am_ard_3-2-1_52KCC_2018-10-30_final
2018-11-09 11:25:01	ga_s2am_ard_3-2-1_51JYK_2018-11-09_final
2019-01-14 11:42:38	ga_s2am_ard_3-2-1_51KVV_2019-01-14_final
2019-01-28 11:23:25	ga_s2am_ard_3-2-1_51KXS_2019-01-28_final
2019-02-07 11:25:35	ga_s2am_ard_3-2-1_51JXH_2019-02-07_final
2019-03-02 11:32:24	ga_s2am_ard_3-2-1_51KWA_2019-03-02_final
2019-03-05 11:46:57	ga_s2am_ard_3-2-1_50HPH_2019-03-05_final
2019-03-06 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2019-03-06_final
2019-03-22 11:35:14	ga_s2am_ard_3-2-1_51JUK_2019-03-22_final
2019-04-04 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2019-04-04_final
2019-06-04 11:16:04	ga_s2am_ard_3-2-1_52JCL_2019-06-04_final
2019-06-28 10:56:05	ga_s2am_ard_3-2-1_52JFL_2019-06-28_final
2019-08-12 11:43:18	ga_s2am_ard_3-2-1_51KUT_2019-08-12_final
2019-10-30 12:15:07	ga_s2am_ard_3-2-1_49JFM_2019-10-30_final
2019-11-27 11:34:17	ga_s2am_ard_3-2-1_51KUP_2019-11-27_final
2019-12-04 11:27:00	ga_s2am_ard_3-2-1_51HUC_2019-12-04_final
2020-01-02 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-01-02_final
2020-01-03 11:25:00	ga_s2am_ard_3-2-1_51JYK_2020-01-03_final
2020-01-06 11:34:09	ga_s2am_ard_3-2-1_51KVP_2020-01-06_final
2020-01-07 11:04:27	ga_s2am_ard_3-2-1_52JES_2020-01-07_final
2020-01-09 11:42:22	ga_s2am_ard_3-2-1_51KVA_2020-01-09_final
2020-01-10 11:12:32	ga_s2am_ard_3-2-1_52KCE_2020-01-10_final
2020-01-10 11:14:58	ga_s2am_ard_3-2-1_52JCQ_2020-01-10_final
2020-03-15 12:05:48	ga_s2am_ard_3-2-1_50JLN_2020-03-15_final
2020-03-15 12:06:06	ga_s2am_ard_3-2-1_50JKM_2020-03-15_final
2020-03-24 10:55:42	ga_s2am_ard_3-2-1_52JFM_2020-03-24_final
2020-03-29 11:43:07	ga_s2am_ard_3-2-1_51KVT_2020-03-29_final
2020-04-05 11:36:57	ga_s2am_ard_3-2-1_51HTC_2020-04-05_final
2020-05-08 11:46:23	ga_s2am_ard_3-2-1_50JPL_2020-05-08_final
2020-05-29 11:13:14	ga_s2am_ard_3-2-1_52KCC_2020-05-29_final
2020-08-09 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-08-09_final
2020-09-02 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2020-09-02_final
2020-11-01 11:33:47	ga_s2am_ard_3-2-1_51KWR_2020-11-01_final
2020-11-11 11:36:47	ga_s2am_ard_3-2-1_51HUD_2020-11-11_final
2020-11-11 11:37:11	ga_s2am_ard_3-2-1_50HPH_2020-11-11_final
2020-11-25 11:16:42	ga_s2am_ard_3-2-1_51HXD_2020-11-25_final
2021-01-17 11:25:46	ga_s2am_ard_3-2-1_51JYG_2021-01-17_final
2021-01-24 11:14:35	ga_s2am_ard_3-2-1_52JCS_2021-01-24_final
2021-02-02 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-02-02_final
2021-02-12 11:43:35	ga_s2am_ard_3-2-1_50KQB_2021-02-12_final
2021-03-14 11:43:21	ga_s2am_ard_3-2-1_50KQC_2021-03-14_final
2021-04-09 12:05:25	ga_s2am_ard_3-2-1_49JGK_2021-04-09_final
2021-04-29 12:03:24	ga_s2am_ard_3-2-1_50KLC_2021-04-29_final
2021-04-30 11:35:57	ga_s2am_ard_3-2-1_51JUG_2021-04-30_final
2021-05-02 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2021-05-02_final
2021-06-28 12:05:57	ga_s2am_ard_3-2-1_50JKN_2021-06-28_final
2021-08-21 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-08-21_final
2021-08-29 11:05:28	ga_s2am_ard_3-2-1_52JFN_2021-08-29_final
2021-11-02 11:56:41	ga_s2am_ard_3-2-1_50HMK_2021-11-02_final
2022-01-18 11:41:56	ga_s2am_ard_3-2-1_51LWC_2022-01-18_final
2022-03-15 12:06:14	ga_s2am_ard_3-2-1_50JKM_2022-03-15_final
2022-06-24 11:35:31	ga_s2am_ard_3-2-1_51JWJ_2022-06-24_final
2022-09-06 11:15:59	ga_s2am_ard_3-2-1_52JCM_2022-09-06_final.stac-item
2022-09-09 11:24:30	ga_s2am_ard_3-2-1_51JZN_2022-09-09_final.stac-item
2022-09-12 11:34:46	ga_s2am_ard_3-2-1_51JTN_2022-09-12_final.stac-item
2022-12-28 11:24:53	ga_s2am_ard_3-2-1_51JYL_2022-12-28_final.stac-item
2023-01-26 13:31:35	ga_s2am_ard_3-2-1_47LKG_2023-01-26_interim.stac-item
2023-03-25 11:16:21	ga_s2am_ard_3-2-1_51HYE_2023-03-25_final.stac-item
2023-04-24 11:13:13	ga_s2am_ard_3-2-1_52KBC_2023-04-24_final.stac-item
2023-05-04 11:16:35	ga_s2am_ard_3-2-1_52HBJ_2023-05-04_nrt.stac-item
2023-05-11 11:05:57	ga_s2am_ard_3-2-1_52JBM_2023-05-11_final.stac-item
2023-07-19 11:33:13	ga_s2am_ard_3-2-1_51KXT_2023-07-19_final.stac-item
2023-08-08 11:36:24	ga_s2am_ard_3-2-1_50JQL_2023-08-08_final.stac-item
2023-09-17 11:36:35	ga_s2am_ard_3-2-1_51HTE_2023-09-17_final.stac-item
2023-11-26 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2023-11-26_final.stac-item
2024-01-22 11:22:34	ga_s2am_ard_3-2-1_51KYV_2024-01-22_final.stac-item
2024-02-07 11:41:55	ga_s2am_ard_3-2-1_51LVC_2024-02-07_final.stac-item
2024-03-12 11:22:24	ga_s2am_ard_3-2-1_51KZA_2024-03-12_final.stac-item
2024-03-12 11:22:52	ga_s2am_ard_3-2-1_52KBD_2024-03-12_final.stac-item
2024-03-15 11:31:58	ga_s2am_ard_3-2-1_51LXC_2024-03-15_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