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
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_49JHN_2015-11-27_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49KHP_2015-11-30_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JHM_2015-12-07_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JHN_2015-12-07_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JHN_2016-01-26_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JHN_2016-09-22_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMJ_2016-11-05_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNK_2016-11-15_final.stac-item
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JGL_2017-04-03_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HMJ_2017-05-04_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HNG_2017-05-04_final.stac-item
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HNJ_2017-05-24_final
2017-06-12 12:14:42	ga_s2am_ard_3-2-1_49JGM_2017-06-12_final
2017-07-22 12:13:45	ga_s2am_ard_3-2-1_49KGR_2017-07-22_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JFM_2017-09-20_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JGL_2017-10-27_final
2017-11-03 11:56:07	ga_s2am_ard_3-2-1_50HMJ_2017-11-03_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMK_2018-01-19_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JGK_2018-01-25_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JFM_2018-02-14_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGN_2018-03-16_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLK_2018-04-02_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HNJ_2018-04-09_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHQ_2018-04-28_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGM_2018-06-14_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHM_2018-09-02_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLK_2018-09-19_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-10-02_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-10-02_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HNK_2018-10-09_final
2018-12-28 11:57:02	ga_s2am_ard_3-2-1_50HLH_2018-12-28_final
2019-01-23 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-01-23_final
2019-01-23 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-01-23_final
2019-02-26 11:56:36	ga_s2am_ard_3-2-1_50HLK_2019-02-26_final
2019-03-05 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2019-03-05_final
2019-03-05 11:47:01	ga_s2am_ard_3-2-1_50HNH_2019-03-05_final
2019-03-21 12:05:13	ga_s2am_ard_3-2-1_49JGL_2019-03-21_final
2019-03-31 12:04:42	ga_s2am_ard_3-2-1_49JHN_2019-03-31_final
2019-04-30 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-04-30_final
2019-05-04 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-04_final
2019-05-04 11:47:28	ga_s2am_ard_3-2-1_50HMG_2019-05-04_final.stac-item
2019-05-07 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-05-07_final
2019-06-22 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-06-22_final
2019-09-04 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2019-09-04_final
2019-09-20 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2019-09-20_final
2019-09-20 12:14:56	ga_s2am_ard_3-2-1_49JGM_2019-09-20_final
2019-10-10 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-10-10_final
2019-10-21 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-10-21_final
2019-11-23 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2019-11-23_final
2020-01-02 11:56:24	ga_s2am_ard_3-2-1_50HNK_2020-01-02_final
2020-01-12 11:56:24	ga_s2am_ard_3-2-1_50HNK_2020-01-12_final
2020-04-04 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-04-04_final
2020-04-27 12:14:00	ga_s2am_ard_3-2-1_49KGR_2020-04-27_final
2020-04-28 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2020-04-28_final
2020-05-04 12:05:12	ga_s2am_ard_3-2-1_49JFM_2020-05-04_final
2020-05-17 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-17_final
2020-06-23 12:04:10	ga_s2am_ard_3-2-1_49KHR_2020-06-23_final
2020-06-23 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-23_final
2020-07-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-07-26_final
2020-08-02 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-08-02_final
2020-09-21 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-09-21_final
2020-10-04 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-10-04_final
2020-10-04 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-10-04_final
2020-10-11 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-10-11_final
2020-10-11 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-10-11_final
2020-10-25 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-10-25_final
2020-10-25 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-10-25_final
2020-11-07 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-11-07_final
2020-12-04 11:46:36	ga_s2am_ard_3-2-1_50HNK_2020-12-04_final
2020-12-24 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-12-24_final
2021-01-03 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-03_final
2021-03-13 12:13:39	ga_s2am_ard_3-2-1_49KHS_2021-03-13_final.stac-item
2021-04-22 12:14:04	ga_s2am_ard_3-2-1_49KHQ_2021-04-22_final
2021-04-22 12:14:04	ga_s2am_ard_3-2-1_49KHQ_2021-04-22_final
2021-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-05-12_final
2021-05-22 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-05-22_final
2021-06-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final
2021-06-01 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-06-01_final
2021-07-28 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-28_final
2021-09-23 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2021-09-23_final
2022-01-17 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-01-17_final
2022-01-18 11:47:03	ga_s2am_ard_3-2-1_50HPH_2022-01-18_final
2022-04-08 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2022-04-08_final
2022-05-08 11:46:42	ga_s2am_ard_3-2-1_50HNK_2022-05-08_final
2022-12-14 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2022-12-14_final.stac-item
2023-01-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-01-19_final.stac-item
2023-02-01 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-02-01_final.stac-item
2023-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-12_final.stac-item
2023-03-07 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-03-07_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-04-19_final.stac-item
2023-04-29 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-04-29_final.stac-item
2023-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-05-12_final.stac-item
2023-07-05 11:56:35	ga_s2am_ard_3-2-1_50HNK_2023-07-05_final.stac-item
2023-07-31 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-07-31_final.stac-item
2023-09-19 12:14:24	ga_s2am_ard_3-2-1_49KHP_2023-09-19_final.stac-item
2023-09-19 12:14:30	ga_s2am_ard_3-2-1_49KGP_2023-09-19_final.stac-item
2023-09-19 12:15:13	ga_s2am_ard_3-2-1_49JGL_2023-09-19_final.stac-item
2023-10-20 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-10-20_final.stac-item
2023-11-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-11-22_final.stac-item
2023-12-09 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2023-12-09_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