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
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KGQ_2016-02-08_final.stac-item
2016-04-26 11:36:07	ga_s2am_ard_3-2-1_51HTE_2016-04-26_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_51HTE_2016-05-26_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMQ_2016-07-21_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_52JBT_2016-07-22_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HNJ_2017-02-13_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-22_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JPS_2017-07-16_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JKM_2017-09-14_final
2017-09-29 11:02:55	ga_s2am_ard_3-2-1_52JCM_2017-09-29_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JUF_2017-12-04_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JWH_2018-02-22_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXG_2018-02-22_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JTK_2018-02-25_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JKT_2018-05-15_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HTE_2018-05-26_final
2018-06-02 11:23:55	ga_s2am_ard_3-2-1_51HXE_2018-06-02_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JTH_2018-06-05_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKN_2018-07-14_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JFL_2018-08-02_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51JYL_2018-08-31_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KVQ_2018-09-03_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51HWD_2018-09-30_final
2019-03-04 12:15:05	ga_s2am_ard_3-2-1_49JGL_2019-03-04_final
2019-03-15 11:44:37	ga_s2am_ard_3-2-1_51JUM_2019-03-15_final
2019-03-22 11:32:53	ga_s2am_ard_3-2-1_51KXU_2019-03-22_final
2019-03-23 11:06:01	ga_s2am_ard_3-2-1_52JDL_2019-03-23_final
2019-07-02 12:14:32	ga_s2am_ard_3-2-1_49KGP_2019-07-02_final
2019-09-05 11:23:13	ga_s2am_ard_3-2-1_51KXT_2019-09-05_final
2019-09-26 10:55:43	ga_s2am_ard_3-2-1_52JGM_2019-09-26_final
2020-01-16 11:32:41	ga_s2am_ard_3-2-1_51KVV_2020-01-16_final
2020-01-29 11:41:25	ga_s2am_ard_3-2-1_51LUE_2020-01-29_final
2020-02-04 12:04:02	ga_s2am_ard_3-2-1_50KLV_2020-02-04_final
2020-02-09 11:16:29	ga_s2am_ard_3-2-1_51HYD_2020-02-09_final
2020-02-22 11:25:33	ga_s2am_ard_3-2-1_51JXH_2020-02-22_final
2020-02-25 11:33:22	ga_s2am_ard_3-2-1_51KWS_2020-02-25_final
2020-03-19 11:42:42	ga_s2am_ard_3-2-1_51KUV_2020-03-19_final
2020-03-19 11:45:10	ga_s2am_ard_3-2-1_51JTK_2020-03-19_final
2020-03-24 10:55:18	ga_s2am_ard_3-2-1_52JEP_2020-03-24_final
2020-03-29 11:46:33	ga_s2am_ard_3-2-1_50HNK_2020-03-29_final
2020-04-15 11:32:43	ga_s2am_ard_3-2-1_51KWV_2020-04-15_final
2020-04-18 11:47:14	ga_s2am_ard_3-2-1_50HLH_2020-04-18_final
2020-06-24 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-06-24_final
2020-07-14 11:36:42	ga_s2am_ard_3-2-1_50HPK_2020-07-14_final
2020-08-09 11:56:24	ga_s2am_ard_3-2-1_50JNL_2020-08-09_final
2020-08-10 11:24:38	ga_s2am_ard_3-2-1_52JBS_2020-08-10_final
2020-10-16 11:15:59	ga_s2am_ard_3-2-1_51JYG_2020-10-16_final
2020-10-21 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-10-21_final
2020-11-17 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2020-11-17_final
2020-12-04 11:44:15	ga_s2am_ard_3-2-1_51KTP_2020-12-04_final
2020-12-11 11:32:22	ga_s2am_ard_3-2-1_51KXA_2020-12-11_final
2021-02-02 11:45:17	ga_s2am_ard_3-2-1_50JQQ_2021-02-02_final
2021-02-23 11:15:10	ga_s2am_ard_3-2-1_51JYK_2021-02-23_final
2021-03-11 11:33:34	ga_s2am_ard_3-2-1_51KUS_2021-03-11_final
2021-03-21 11:36:45	ga_s2am_ard_3-2-1_51HTD_2021-03-21_final
2021-07-18 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-07-18_final
2021-07-28 12:03:30	ga_s2am_ard_3-2-1_50KLC_2021-07-28_final
2021-08-01 11:46:11	ga_s2am_ard_3-2-1_50JNM_2021-08-01_final
2021-08-08 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-08-08_final
2021-09-11 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2021-09-11_final
2021-09-30 11:47:11	ga_s2am_ard_3-2-1_50HNH_2021-09-30_final
2021-10-01 11:16:16	ga_s2am_ard_3-2-1_51JXF_2021-10-01_final
2021-11-10 11:16:25	ga_s2am_ard_3-2-1_51HYE_2021-11-10_final
2021-12-12 11:56:07	ga_s2am_ard_3-2-1_50JMM_2021-12-12_final
2022-01-15 11:34:40	ga_s2am_ard_3-2-1_51JWM_2022-01-15_final
2022-02-01 11:22:38	ga_s2am_ard_3-2-1_51KZV_2022-02-01_final
2022-02-27 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2022-02-27_final
2022-03-26 11:35:50	ga_s2am_ard_3-2-1_51JTH_2022-03-26_final
2022-03-28 12:15:02	ga_s2am_ard_3-2-1_49JFM_2022-03-28_final
2022-04-02 11:23:30	ga_s2am_ard_3-2-1_51KXS_2022-04-02_final
2022-04-04 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2022-04-04_final
2022-04-12 11:26:24	ga_s2am_ard_3-2-1_51HXE_2022-04-12_final
2022-05-15 11:33:06	ga_s2am_ard_3-2-1_51KVU_2022-05-15_final
2022-05-31 11:53:29	ga_s2am_ard_3-2-1_50KPC_2022-05-31_final
2022-05-31 11:54:21	ga_s2am_ard_3-2-1_50KQU_2022-05-31_final
2022-07-23 12:05:40	ga_s2am_ard_3-2-1_49JGK_2022-07-23_final
2022-10-02 11:36:06	ga_s2am_ard_3-2-1_51JUG_2022-10-02_final.stac-item
2022-10-12 11:32:25	ga_s2am_ard_3-2-1_51KVB_2022-10-12_final.stac-item
2022-10-13 11:05:54	ga_s2am_ard_3-2-1_52JDM_2022-10-13_final.stac-item
2022-10-25 11:47:05	ga_s2am_ard_3-2-1_50HPH_2022-10-25_final.stac-item
2022-11-01 11:37:11	ga_s2am_ard_3-2-1_50HPH_2022-11-01_final.stac-item
2022-11-14 11:47:09	ga_s2am_ard_3-2-1_50HNH_2022-11-14_final.stac-item
2023-01-03 11:43:24	ga_s2am_ard_3-2-1_51KVS_2023-01-03_final.stac-item
2023-01-20 11:33:33	ga_s2am_ard_3-2-1_51KXR_2023-01-20_final.stac-item
2023-02-28 12:05:35	ga_s2am_ard_3-2-1_50JLP_2023-02-28_final.stac-item
2023-03-30 12:04:33	ga_s2am_ard_3-2-1_49KGP_2023-03-30_final.stac-item
2023-04-10 11:33:24	ga_s2am_ard_3-2-1_51KXS_2023-04-10_final.stac-item
2023-04-28 10:56:00	ga_s2am_ard_3-2-1_52JFL_2023-04-28_final.stac-item
2023-06-13 12:51:04	ga_s2am_ard_3-2-1_48LWP_2023-06-13_final.stac-item
2023-06-20 11:04:22	ga_s2am_ard_3-2-1_52JET_2023-06-20_final.stac-item
2023-09-06 12:05:43	ga_s2am_ard_3-2-1_50JLP_2023-09-06_final.stac-item
2023-09-13 11:56:41	ga_s2am_ard_3-2-1_50HMK_2023-09-13_final.stac-item
2023-09-13 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-09-13_final.stac-item
2023-11-16 11:36:16	ga_s2am_ard_3-2-1_51JTF_2023-11-16_final.stac-item
2023-12-06 11:35:09	ga_s2am_ard_3-2-1_51JUK_2023-12-06_final.stac-item
2024-02-08 11:16:33	ga_s2am_ard_3-2-1_52HBJ_2024-02-08_final.stac-item
2024-03-08 11:43:33	ga_s2am_ard_3-2-1_51KTS_2024-03-08_final.stac-item
2024-03-12 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2024-03-12_final.stac-item
2024-03-15 11:32:25	ga_s2am_ard_3-2-1_51KXA_2024-03-15_final.stac-item
2024-03-22 11:23:22	ga_s2am_ard_3-2-1_51KZS_2024-03-22_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