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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMJ_2015-11-21_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLS_2016-03-03_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGL_2016-04-15_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JML_2016-05-09_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPJ_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLM_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JPR_2016-05-22_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMJ_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JML_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNM_2016-05-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPH_2016-06-05_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_50JQL_2016-10-13_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-10-22_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNG_2016-11-15_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMH_2016-11-18_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HMH_2016-12-05_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMH_2017-01-24_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HMJ_2017-01-27_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KHS_2017-04-20_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49JGL_2017-06-22_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JNM_2017-08-05_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HMJ_2017-09-01_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KHP_2017-10-07_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JLR_2017-12-26_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-03-06_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMH_2018-03-30_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JNL_2018-03-30_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_50JPL_2018-04-06_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JKM_2018-04-15_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HMK_2018-04-19_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKP_2018-04-25_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNK_2018-04-29_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLM_2018-05-02_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKN_2018-05-05_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50JML_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50JNN_2018-05-19_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLP_2018-05-22_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JPS_2018-05-22_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGK_2018-05-25_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HLG_2018-06-08_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JLM_2018-06-14_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKP_2018-06-24_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-07-24_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-08-06_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JPS_2018-08-17_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKT_2018-08-23_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JNN_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JPN_2018-08-27_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPJ_2018-09-06_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JNN_2018-10-06_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50JNR_2018-10-16_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLP_2018-10-19_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNP_2018-10-26_final
2018-11-15 11:47:11	ga_s2am_ard_3-2-1_50HPG_2018-11-15_final.stac-item
2018-11-28 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-11-28_final
2018-12-08 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-12-08_final
2018-12-21 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-21_final
2018-12-21 12:04:31	ga_s2am_ard_3-2-1_50JLT_2018-12-21_final
2018-12-21 12:04:34	ga_s2am_ard_3-2-1_50JKT_2018-12-21_final
2019-01-07 11:54:28	ga_s2am_ard_3-2-1_50JPT_2019-01-07_final
2019-07-09 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-07-09_final.stac-item
2019-08-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-08-08_final.stac-item
2019-09-04 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2019-09-04_final
2019-10-11 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-10-11_final
2019-10-21 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-10-21_final
2019-12-23 11:57:14	ga_s2am_ard_3-2-1_50HMG_2019-12-23_final.stac-item
2020-01-06 11:36:21	ga_s2am_ard_3-2-1_50JPL_2020-01-06_final
2020-01-28 12:13:33	ga_s2am_ard_3-2-1_49KHS_2020-01-28_final.stac-item
2020-02-11 11:57:16	ga_s2am_ard_3-2-1_50HLG_2020-02-11_final.stac-item
2020-03-15 12:05:08	ga_s2am_ard_3-2-1_50JKR_2020-03-15_final
2020-04-24 12:04:33	ga_s2am_ard_3-2-1_49KGP_2020-04-24_final
2020-05-14 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-05-14_final.stac-item
2020-10-21 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-21_final
2021-01-16 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-01-16_final
2021-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-02-12_final
2021-03-27 11:54:46	ga_s2am_ard_3-2-1_50JPS_2021-03-27_final
2021-04-23 11:46:01	ga_s2am_ard_3-2-1_50JPM_2021-04-23_final
2021-04-29 12:05:05	ga_s2am_ard_3-2-1_50JLR_2021-04-29_final
2021-04-29 12:05:12	ga_s2am_ard_3-2-1_49JGL_2021-04-29_final
2021-04-29 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2021-04-29_final
2021-05-13 11:46:29	ga_s2am_ard_3-2-1_50HQK_2021-05-13_final
2021-06-15 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-06-15_final
2021-06-18 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-06-18_final
2021-06-18 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-06-18_final
2021-06-22 11:44:53	ga_s2am_ard_3-2-1_50JPS_2021-06-22_final
2021-06-22 11:45:12	ga_s2am_ard_3-2-1_50JNR_2021-06-22_final
2021-06-22 11:45:40	ga_s2am_ard_3-2-1_50JNP_2021-06-22_final
2021-07-08 12:05:14	ga_s2am_ard_3-2-1_50JKR_2021-07-08_final
2021-07-08 12:05:43	ga_s2am_ard_3-2-1_50JKP_2021-07-08_final
2021-08-21 11:46:21	ga_s2am_ard_3-2-1_50JPL_2021-08-21_final
2021-08-27 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-08-27_final
2021-10-07 11:37:26	ga_s2am_ard_3-2-1_50HPG_2021-10-07_final.stac-item
2022-02-10 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-02-10_final
2022-05-01 11:57:21	ga_s2am_ard_3-2-1_50HMG_2022-05-01_final.stac-item
2022-05-11 11:54:55	ga_s2am_ard_3-2-1_50JNS_2022-05-11_final
2022-11-14 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2022-11-14_final.stac-item
2022-12-21 11:37:19	ga_s2am_ard_3-2-1_50HPG_2022-12-21_final.stac-item
2023-01-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-01-19_final.stac-item
2023-06-18 12:06:04	ga_s2am_ard_3-2-1_50JLM_2023-06-18_final.stac-item
2023-09-16 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-09-16_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