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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXH_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXN_2015-11-25_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KWP_2016-01-07_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KQC_2016-02-02_final.stac-item
2016-03-19 12:14:38	ga_s2am_ard_3-2-1_49JGL_2016-03-19_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51HTD_2016-04-06_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JUF_2016-05-23_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HVC_2016-06-12_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLL_2016-07-21_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_50KKB_2016-08-26_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNT_2016-10-29_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JVL_2016-10-30_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HTE_2016-12-12_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JYM_2016-12-26_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWM_2017-01-08_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HNH_2017-09-01_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50JQL_2017-09-01_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HMH_2017-09-21_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_49JGK_2017-09-27_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JWM_2017-10-05_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JVK_2018-01-13_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JVF_2018-02-02_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JXJ_2018-02-02_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JGK_2018-03-19_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLR_2018-05-25_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HTD_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVH_2018-06-05_final
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_51HYD_2018-06-29_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JKM_2018-08-03_final
2018-09-17 11:13:02	ga_s2am_ard_3-2-1_51HYD_2018-09-17_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JWJ_2018-09-30_final
2018-11-26 11:16:29	ga_s2am_ard_3-2-1_51HYD_2018-11-26_final
2018-12-06 11:16:32	ga_s2am_ard_3-2-1_51HXD_2018-12-06_final
2018-12-09 11:25:40	ga_s2am_ard_3-2-1_51JXG_2018-12-09_final
2018-12-12 11:34:02	ga_s2am_ard_3-2-1_51KWP_2018-12-12_final
2019-03-22 11:35:31	ga_s2am_ard_3-2-1_51JTJ_2019-03-22_final
2019-03-26 11:16:21	ga_s2am_ard_3-2-1_51HYE_2019-03-26_final
2019-04-04 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-04-04_final
2019-04-11 11:33:32	ga_s2am_ard_3-2-1_51KVS_2019-04-11_final
2019-04-14 11:45:34	ga_s2am_ard_3-2-1_50JQP_2019-04-14_final
2019-05-31 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2019-05-31_final
2019-06-04 11:16:39	ga_s2am_ard_3-2-1_51HYD_2019-06-04_final
2019-07-26 11:56:45	ga_s2am_ard_3-2-1_50HLK_2019-07-26_final
2019-08-05 11:57:10	ga_s2am_ard_3-2-1_50HMH_2019-08-05_final
2019-08-06 11:26:36	ga_s2am_ard_3-2-1_51HUE_2019-08-06_final
2019-09-20 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-09-20_final
2019-12-10 11:42:53	ga_s2am_ard_3-2-1_51KVU_2019-12-10_final
2020-01-03 11:26:16	ga_s2am_ard_3-2-1_51HXE_2020-01-03_final
2020-01-09 11:42:40	ga_s2am_ard_3-2-1_51KUV_2020-01-09_final
2020-02-25 11:35:14	ga_s2am_ard_3-2-1_51JTK_2020-02-25_final
2020-03-29 11:45:57	ga_s2am_ard_3-2-1_50JNN_2020-03-29_final
2020-04-02 11:25:56	ga_s2am_ard_3-2-1_51JVG_2020-04-02_final
2020-04-02 11:26:54	ga_s2am_ard_3-2-1_51HVC_2020-04-02_final
2020-04-15 11:34:36	ga_s2am_ard_3-2-1_50JRT_2020-04-15_final
2020-05-25 11:35:21	ga_s2am_ard_3-2-1_51JUK_2020-05-25_final
2020-08-22 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-08-22_final
2020-08-23 11:36:37	ga_s2am_ard_3-2-1_51HTE_2020-08-23_final
2020-09-11 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-09-11_final
2020-12-30 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2020-12-30_final
2021-02-02 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-02-02_final
2021-02-02 11:46:05	ga_s2am_ard_3-2-1_50JPM_2021-02-02_final
2021-04-07 11:26:28	ga_s2am_ard_3-2-1_51HUE_2021-04-07_final
2021-04-19 12:06:04	ga_s2am_ard_3-2-1_50JKM_2021-04-19_final
2021-05-04 11:16:35	ga_s2am_ard_3-2-1_51HYD_2021-05-04_final
2021-05-04 11:16:42	ga_s2am_ard_3-2-1_51HWD_2021-05-04_final
2021-05-30 11:34:55	ga_s2am_ard_3-2-1_51JWL_2021-05-30_final
2021-06-09 11:34:44	ga_s2am_ard_3-2-1_51JVM_2021-06-09_final
2021-08-31 11:46:42	ga_s2am_ard_3-2-1_50HMK_2021-08-31_final
2021-09-26 12:05:59	ga_s2am_ard_3-2-1_50JKN_2021-09-26_final
2021-10-20 11:45:49	ga_s2am_ard_3-2-1_51JTH_2021-10-20_final
2021-10-20 11:46:28	ga_s2am_ard_3-2-1_50JNL_2021-10-20_final
2022-01-31 11:53:11	ga_s2am_ard_3-2-1_50KRC_2022-01-31_final
2022-02-04 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-02-04_final
2022-03-03 11:24:33	ga_s2am_ard_3-2-1_51JWN_2022-03-03_final
2022-03-03 11:24:59	ga_s2am_ard_3-2-1_51JXL_2022-03-03_final
2022-03-03 11:25:09	ga_s2am_ard_3-2-1_51JYK_2022-03-03_final
2022-04-02 11:25:15	ga_s2am_ard_3-2-1_51JWK_2022-04-02_final
2022-04-11 11:53:26	ga_s2am_ard_3-2-1_50KNC_2022-04-11_final
2022-06-17 11:45:58	ga_s2am_ard_3-2-1_50JQN_2022-06-17_final
2022-07-01 11:26:18	ga_s2am_ard_3-2-1_51JUG_2022-07-01_final
2022-07-27 11:47:01	ga_s2am_ard_3-2-1_50HNJ_2022-07-27_final
2022-08-03 11:36:01	ga_s2am_ard_3-2-1_50JQN_2022-08-03_final
2022-09-05 11:44:42	ga_s2am_ard_3-2-1_50JRT_2022-09-05_final.stac-item
2022-09-05 11:45:51	ga_s2am_ard_3-2-1_50JNP_2022-09-05_final.stac-item
2022-09-15 11:47:12	ga_s2am_ard_3-2-1_50HPH_2022-09-15_final.stac-item
2022-10-12 11:34:16	ga_s2am_ard_3-2-1_51KWP_2022-10-12_final.stac-item
2022-11-24 11:42:27	ga_s2am_ard_3-2-1_51KVA_2022-11-24_final.stac-item
2023-01-07 11:26:31	ga_s2am_ard_3-2-1_51HUE_2023-01-07_final.stac-item
2023-03-07 11:53:39	ga_s2am_ard_3-2-1_50KMB_2023-03-07_final.stac-item
2023-03-17 11:55:57	ga_s2am_ard_3-2-1_50JKN_2023-03-17_final.stac-item
2023-05-24 11:16:44	ga_s2am_ard_3-2-1_51HXD_2023-05-24_final.stac-item
2023-06-18 12:06:14	ga_s2am_ard_3-2-1_50JKM_2023-06-18_final.stac-item
2023-06-19 11:33:20	ga_s2am_ard_3-2-1_51KVT_2023-06-19_final.stac-item
2023-08-12 11:16:13	ga_s2am_ard_3-2-1_51JYF_2023-08-12_final.stac-item
2023-10-16 12:03:58	ga_s2am_ard_3-2-1_50KKA_2023-10-16_final.stac-item
2023-12-25 12:06:06	ga_s2am_ard_3-2-1_50JKM_2023-12-25_final.stac-item
2024-03-05 11:36:20	ga_s2am_ard_3-2-1_50JQL_2024-03-05_final.stac-item
2024-04-10 11:56:24	ga_s2am_ard_3-2-1_50JLL_2024-04-10_final.stac-item
2024-05-03 12:06:13	ga_s2am_ard_3-2-1_50JKM_2024-05-03_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