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
2015-08-31 11:04:27	ga_s2am_ard_3-2-1_52JEM_2015-08-31_final.stac-item
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JGM_2016-01-19_final.stac-item
2016-04-12 11:56:25	ga_s2am_ard_3-2-1_50HLK_2016-04-12_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_52KEA_2016-06-19_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JYM_2016-10-30_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51HUD_2016-12-22_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KXS_2017-01-01_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52KBV_2017-02-04_final
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JKN_2017-06-26_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JUF_2017-06-27_final
2017-08-06 11:17:01	ga_s2am_ard_3-2-1_51LZE_2017-08-06_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWA_2017-09-28_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JYJ_2017-12-04_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KUS_2017-12-17_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51KTT_2018-02-08_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-17_final
2018-04-07 10:57:16	ga_s2am_ard_3-2-1_51HYD_2018-04-07_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGN_2018-05-15_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KVA_2018-06-18_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_51JTG_2018-06-28_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KWS_2018-07-15_final
2018-07-29 11:13:14	ga_s2am_ard_3-2-1_51KZQ_2018-07-29_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JNQ_2018-08-30_final
2018-09-17 11:13:02	ga_s2am_ard_3-2-1_51KZS_2018-09-17_final
2019-01-11 11:31:34	ga_s2am_ard_3-2-1_51LYD_2019-01-11_final
2019-01-21 11:32:29	ga_s2am_ard_3-2-1_51KVA_2019-01-21_final
2019-01-28 11:22:52	ga_s2am_ard_3-2-1_51KYU_2019-01-28_final
2019-03-29 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2019-03-29_final
2019-05-12 11:02:48	ga_s2am_ard_3-2-1_52KGD_2019-05-12_final
2019-05-28 11:23:13	ga_s2am_ard_3-2-1_51KYT_2019-05-28_final
2019-06-02 12:13:42	ga_s2am_ard_3-2-1_50KKB_2019-06-02_final
2019-08-22 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2019-08-22_final
2019-08-28 12:04:40	ga_s2am_ard_3-2-1_50JLT_2019-08-28_final
2019-09-28 11:37:18	ga_s2am_ard_3-2-1_50HQG_2019-09-28_final.stac-item
2019-12-17 11:36:28	ga_s2am_ard_3-2-1_50HQK_2019-12-17_final
2019-12-19 12:15:04	ga_s2am_ard_3-2-1_49JGL_2019-12-19_final
2020-01-30 11:14:16	ga_s2am_ard_3-2-1_51JZN_2020-01-30_final
2020-04-06 11:05:05	ga_s2am_ard_3-2-1_52JCQ_2020-04-06_final
2020-04-27 12:13:57	ga_s2am_ard_3-2-1_49KHR_2020-04-27_final
2020-05-02 11:22:59	ga_s2am_ard_3-2-1_51KYU_2020-05-02_final
2020-05-02 11:24:18	ga_s2am_ard_3-2-1_51KWP_2020-05-02_final
2020-06-08 11:14:15	ga_s2am_ard_3-2-1_52KBU_2020-06-08_final
2020-07-11 11:23:43	ga_s2am_ard_3-2-1_51KYR_2020-07-11_final
2020-08-06 11:46:01	ga_s2am_ard_3-2-1_51JTG_2020-08-06_final
2020-09-19 11:23:07	ga_s2am_ard_3-2-1_52KCC_2020-09-19_final
2020-11-18 11:26:39	ga_s2am_ard_3-2-1_51HXD_2020-11-18_final
2020-11-25 11:14:10	ga_s2am_ard_3-2-1_51KZP_2020-11-25_final
2021-01-21 11:03:54	ga_s2am_ard_3-2-1_52KDV_2021-01-21_final
2021-02-01 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-02-01_final
2021-02-08 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-02-08_final
2021-03-21 11:32:28	ga_s2am_ard_3-2-1_51KWA_2021-03-21_final
2021-04-17 11:23:04	ga_s2am_ard_3-2-1_51KYT_2021-04-17_final
2021-05-09 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-05-09_final
2021-05-14 11:13:15	ga_s2am_ard_3-2-1_52KEB_2021-05-14_final
2021-06-13 11:15:39	ga_s2am_ard_3-2-1_51JYH_2021-06-13_final
2021-07-03 11:16:22	ga_s2am_ard_3-2-1_52HBK_2021-07-03_final
2021-07-16 11:22:59	ga_s2am_ard_3-2-1_51KYU_2021-07-16_final
2021-08-22 11:14:11	ga_s2am_ard_3-2-1_51KZP_2021-08-22_final
2021-08-24 11:52:21	ga_s2am_ard_3-2-1_50KQG_2021-08-24_final.stac-item
2021-09-16 12:06:06	ga_s2am_ard_3-2-1_50JLM_2021-09-16_final
2021-11-06 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-11-06_final
2021-12-06 11:33:15	ga_s2am_ard_3-2-1_51KVT_2021-12-06_final
2021-12-15 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-12-15_final
2022-01-12 11:24:45	ga_s2am_ard_3-2-1_52JBR_2022-01-12_final
2022-01-17 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-01-17_final
2022-01-22 11:22:08	ga_s2am_ard_3-2-1_52KBG_2022-01-22_final
2022-01-25 11:32:40	ga_s2am_ard_3-2-1_51KXV_2022-01-25_final
2022-03-24 10:55:48	ga_s2am_ard_3-2-1_52JFM_2022-03-24_final
2022-04-04 12:04:44	ga_s2am_ard_3-2-1_49JHN_2022-04-04_final
2022-05-05 11:37:02	ga_s2am_ard_3-2-1_51HUC_2022-05-05_final
2022-06-19 10:45:58	ga_s2am_ard_3-2-1_52JGM_2022-06-19_final
2022-06-23 12:04:47	ga_s2am_ard_3-2-1_49KGP_2022-06-23_final
2022-07-14 11:33:11	ga_s2am_ard_3-2-1_51KWU_2022-07-14_final
2022-08-20 11:23:41	ga_s2am_ard_3-2-1_51KXS_2022-08-20_final
2022-09-19 11:23:29	ga_s2am_ard_3-2-1_51KZS_2022-09-19_final.stac-item
2022-09-23 11:05:12	ga_s2am_ard_3-2-1_52JDQ_2022-09-23_final.stac-item
2022-10-12 11:36:43	ga_s2am_ard_3-2-1_50HPK_2022-10-12_final.stac-item
2022-12-07 11:56:41	ga_s2am_ard_3-2-1_50HLK_2022-12-07_final.stac-item
2022-12-21 11:33:25	ga_s2am_ard_3-2-1_51KWS_2022-12-21_final.stac-item
2022-12-22 11:02:50	ga_s2am_ard_3-2-1_52KED_2022-12-22_final.stac-item
2023-01-20 11:31:15	ga_s2am_ard_3-2-1_51LZE_2023-01-20_final.stac-item
2023-02-18 12:03:56	ga_s2am_ard_3-2-1_49KHR_2023-02-18_final.stac-item
2023-02-28 12:04:40	ga_s2am_ard_3-2-1_49JHN_2023-02-28_final.stac-item
2023-03-17 11:53:08	ga_s2am_ard_3-2-1_50KRC_2023-03-17_final.stac-item
2023-03-31 11:33:40	ga_s2am_ard_3-2-1_51KWR_2023-03-31_final.stac-item
2023-03-31 11:34:09	ga_s2am_ard_3-2-1_51KWP_2023-03-31_final.stac-item
2023-05-30 11:33:27	ga_s2am_ard_3-2-1_51KXS_2023-05-30_final.stac-item
2023-06-09 11:37:01	ga_s2am_ard_3-2-1_51HUC_2023-06-09_final.stac-item
2023-06-28 12:04:46	ga_s2am_ard_3-2-1_50JKT_2023-06-28_final.stac-item
2023-07-09 11:33:27	ga_s2am_ard_3-2-1_51KUT_2023-07-09_final.stac-item
2023-08-04 11:56:31	ga_s2am_ard_3-2-1_50JLL_2023-08-04_final.stac-item
2023-08-15 11:24:28	ga_s2am_ard_3-2-1_51JYN_2023-08-15_final.stac-item
2023-08-31 11:43:30	ga_s2am_ard_3-2-1_51KVS_2023-08-31_final.stac-item
2023-09-07 11:33:43	ga_s2am_ard_3-2-1_51KXR_2023-09-07_final.stac-item
2023-10-09 12:13:58	ga_s2am_ard_3-2-1_49KGR_2023-10-09_final.stac-item
2023-11-30 11:16:11	ga_s2am_ard_3-2-1_52HBK_2023-11-30_final.stac-item
2023-12-20 11:13:33	ga_s2am_ard_3-2-1_52KCA_2023-12-20_final.stac-item
2023-12-30 11:12:50	ga_s2am_ard_3-2-1_52KCD_2023-12-30_final.stac-item
2024-01-22 11:24:01	ga_s2am_ard_3-2-1_51KYP_2024-01-22_final.stac-item
2024-04-21 11:22:59	ga_s2am_ard_3-2-1_51KYU_2024-04-21_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