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
2015-08-01 11:04:34	ga_s2am_ard_3-2-1_52JDM_2015-08-01_final.stac-item
2016-04-14 10:51:39	ga_s2am_ard_3-2-1_52JFN_2016-04-14_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_52KBB_2016-09-20_final.stac-item
2016-09-22 12:03:42	ga_s2am_ard_3-2-1_49KHR_2016-09-22_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51KXS_2016-11-19_final
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_52JBP_2016-12-06_final.stac-item
2017-01-19 10:52:06	ga_s2am_ard_3-2-1_52JEN_2017-01-19_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KVQ_2017-01-31_final
2017-04-05 11:12:12	ga_s2am_ard_3-2-1_52KCD_2017-04-05_final
2017-04-05 11:12:44	ga_s2am_ard_3-2-1_52KBV_2017-04-05_final
2017-08-03 11:12:16	ga_s2am_ard_3-2-1_51KZQ_2017-08-03_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52KBC_2017-12-31_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50KQC_2018-01-12_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JYH_2018-02-22_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_52KBV_2018-03-21_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51KYU_2018-04-23_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JKN_2018-06-11_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51KWQ_2018-06-25_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_52KCA_2018-07-09_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51KYU_2018-10-03_final
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_51KXT_2018-10-10_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51KVR_2018-10-13_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_51KUT_2018-10-16_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KVR_2018-10-23_final
2018-11-25 11:43:21	ga_s2am_ard_3-2-1_51KUS_2018-11-25_final
2019-02-04 11:13:45	ga_s2am_ard_3-2-1_52KDV_2019-02-04_final
2019-02-10 11:34:11	ga_s2am_ard_3-2-1_51KVP_2019-02-10_final
2019-02-20 11:33:17	ga_s2am_ard_3-2-1_51KWS_2019-02-20_final
2019-03-29 11:23:20	ga_s2am_ard_3-2-1_52KBB_2019-03-29_final
2019-05-15 11:13:58	ga_s2am_ard_3-2-1_51KZQ_2019-05-15_final
2019-07-06 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-07-06_final
2019-08-23 11:13:53	ga_s2am_ard_3-2-1_52KCV_2019-08-23_final
2019-09-02 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2019-09-02_final
2019-12-10 11:43:40	ga_s2am_ard_3-2-1_51KUR_2019-12-10_final
2019-12-18 11:03:28	ga_s2am_ard_3-2-1_52KEA_2019-12-18_final
2020-01-13 11:23:01	ga_s2am_ard_3-2-1_51KZT_2020-01-13_final
2020-02-15 11:32:37	ga_s2am_ard_3-2-1_51KWV_2020-02-15_final
2020-02-28 11:41:28	ga_s2am_ard_3-2-1_51LUE_2020-02-28_final
2020-03-03 11:22:51	ga_s2am_ard_3-2-1_51KYU_2020-03-03_final
2020-03-30 11:13:50	ga_s2am_ard_3-2-1_52KBV_2020-03-30_final
2020-04-12 11:23:20	ga_s2am_ard_3-2-1_51KZS_2020-04-12_final
2020-07-17 11:41:23	ga_s2am_ard_3-2-1_51LUF_2020-07-17_final
2020-08-05 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-08-05_final
2020-08-20 11:24:03	ga_s2am_ard_3-2-1_51KXQ_2020-08-20_final
2020-09-22 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2020-09-22_final
2020-10-03 11:05:36	ga_s2am_ard_3-2-1_52JEN_2020-10-03_final
2020-11-01 11:33:18	ga_s2am_ard_3-2-1_51KWT_2020-11-01_final
2020-12-14 11:43:22	ga_s2am_ard_3-2-1_51KVS_2020-12-14_final
2021-02-09 11:33:22	ga_s2am_ard_3-2-1_51KXS_2021-02-09_final
2021-03-24 11:45:59	ga_s2am_ard_3-2-1_50JQM_2021-03-24_final
2021-03-31 11:33:39	ga_s2am_ard_3-2-1_51KWR_2021-03-31_final
2021-03-31 11:33:58	ga_s2am_ard_3-2-1_51KXP_2021-03-31_final
2021-05-04 11:16:06	ga_s2am_ard_3-2-1_51JYF_2021-05-04_final
2021-05-14 11:13:30	ga_s2am_ard_3-2-1_52KEA_2021-05-14_final
2021-06-19 11:33:45	ga_s2am_ard_3-2-1_51KVR_2021-06-19_final
2021-06-19 11:34:11	ga_s2am_ard_3-2-1_51KWP_2021-06-19_final
2021-06-22 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2021-06-22_final
2021-08-02 11:13:07	ga_s2am_ard_3-2-1_52KDC_2021-08-02_final
2021-08-08 11:33:01	ga_s2am_ard_3-2-1_51KWU_2021-08-08_final
2021-08-14 11:53:20	ga_s2am_ard_3-2-1_50KQC_2021-08-14_final
2021-08-28 11:32:52	ga_s2am_ard_3-2-1_51KYU_2021-08-28_final
2021-09-06 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-09-06_final
2021-10-17 11:33:44	ga_s2am_ard_3-2-1_51KXR_2021-10-17_final
2021-10-20 11:47:08	ga_s2am_ard_3-2-1_50HPH_2021-10-20_final
2021-11-29 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-11-29_final
2022-01-27 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-01-27_final
2022-03-09 11:41:22	ga_s2am_ard_3-2-1_51LUF_2022-03-09_final
2022-03-30 11:13:10	ga_s2am_ard_3-2-1_52KCC_2022-03-30_final
2022-04-12 11:23:45	ga_s2am_ard_3-2-1_51KXR_2022-04-12_final
2022-05-14 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-05-14_final
2022-06-21 11:23:51	ga_s2am_ard_3-2-1_51KYR_2022-06-21_final
2022-06-25 11:04:24	ga_s2am_ard_3-2-1_52JET_2022-06-25_final
2022-07-04 11:33:51	ga_s2am_ard_3-2-1_51KXR_2022-07-04_final
2022-07-08 11:13:52	ga_s2am_ard_3-2-1_52KBA_2022-07-08_final
2022-08-13 11:33:43	ga_s2am_ard_3-2-1_51KVS_2022-08-13_final
2022-10-21 12:05:57	ga_s2am_ard_3-2-1_50JKN_2022-10-21_final.stac-item
2022-11-11 11:32:18	ga_s2am_ard_3-2-1_51KWB_2022-11-11_final.stac-item
2022-11-18 11:23:23	ga_s2am_ard_3-2-1_51KZS_2022-11-18_final.stac-item
2023-01-30 11:32:42	ga_s2am_ard_3-2-1_51KWV_2023-01-30_final.stac-item
2023-02-16 11:24:01	ga_s2am_ard_3-2-1_52KBU_2023-02-16_final.stac-item
2023-03-04 11:43:11	ga_s2am_ard_3-2-1_51KUT_2023-03-04_final.stac-item
2023-03-08 11:23:31	ga_s2am_ard_3-2-1_51KZR_2023-03-08_final.stac-item
2023-03-11 11:33:18	ga_s2am_ard_3-2-1_51KUT_2023-03-11_final.stac-item
2023-08-01 11:43:05	ga_s2am_ard_3-2-1_51KUU_2023-08-01_final.stac-item
2023-08-05 11:23:55	ga_s2am_ard_3-2-1_52KBV_2023-08-05_final.stac-item
2023-09-17 11:33:05	ga_s2am_ard_3-2-1_51KYT_2023-09-17_final.stac-item
2023-09-27 11:33:47	ga_s2am_ard_3-2-1_51KVR_2023-09-27_final.stac-item
2023-10-27 11:33:13	ga_s2am_ard_3-2-1_51KWT_2023-10-27_final.stac-item
2023-11-22 11:53:07	ga_s2am_ard_3-2-1_50KRC_2023-11-22_final.stac-item
2023-12-03 11:24:02	ga_s2am_ard_3-2-1_51KZP_2023-12-03_final.stac-item
2023-12-13 11:23:23	ga_s2am_ard_3-2-1_52KCA_2023-12-13_final.stac-item
2024-01-02 11:23:18	ga_s2am_ard_3-2-1_51KZS_2024-01-02_final.stac-item
2024-01-06 11:04:29	ga_s2am_ard_3-2-1_52JES_2024-01-06_final.stac-item
2024-01-12 11:24:04	ga_s2am_ard_3-2-1_52KBU_2024-01-12_final.stac-item
2024-01-22 11:23:29	ga_s2am_ard_3-2-1_51KXR_2024-01-22_final.stac-item
2024-02-21 11:22:50	ga_s2am_ard_3-2-1_51KZU_2024-02-21_final.stac-item
2024-02-24 11:33:14	ga_s2am_ard_3-2-1_51KVT_2024-02-24_final.stac-item
2024-03-12 11:24:08	ga_s2am_ard_3-2-1_51KYP_2024-03-12_final.stac-item
2024-03-22 11:23:26	ga_s2am_ard_3-2-1_51KYS_2024-03-22_final.stac-item
2024-04-24 11:33:04	ga_s2am_ard_3-2-1_51KYT_2024-04-24_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