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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50KMB_2015-10-08_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_50KKA_2016-05-28_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KMC_2016-06-04_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KHQ_2016-08-06_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNJ_2016-10-16_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HPJ_2017-01-14_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50KRA_2017-01-24_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JNQ_2017-02-26_final
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_50HQH_2017-04-01_final
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JKR_2017-05-10_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KGR_2017-06-02_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2017-07-09_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50JKM_2018-02-01_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HNJ_2018-02-08_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-24_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_50HNG_2018-03-07_final.stac-item
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_50KRD_2018-03-30_final
2018-04-22 11:48:31	ga_s2am_ard_3-2-1_50KQC_2018-04-22_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_50KNC_2018-06-14_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_50KKA_2018-06-17_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JLM_2018-07-24_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50JQM_2018-07-28_final
2018-11-11 12:03:39	ga_s2am_ard_3-2-1_50KKB_2018-11-11_final
2018-12-08 11:53:23	ga_s2am_ard_3-2-1_50KQB_2018-12-08_final
2018-12-28 11:53:18	ga_s2am_ard_3-2-1_50KNC_2018-12-28_final
2019-01-04 11:46:28	ga_s2am_ard_3-2-1_50HPK_2019-01-04_final
2019-01-13 12:13:50	ga_s2am_ard_3-2-1_49KHR_2019-01-13_final
2019-01-20 12:03:20	ga_s2am_ard_3-2-1_50KMC_2019-01-20_final
2019-02-16 11:52:16	ga_s2am_ard_3-2-1_50KQG_2019-02-16_final.stac-item
2019-03-25 11:46:09	ga_s2am_ard_3-2-1_50JPL_2019-03-25_final
2019-04-04 11:47:15	ga_s2am_ard_3-2-1_50HLH_2019-04-04_final
2019-04-14 11:46:28	ga_s2am_ard_3-2-1_50JML_2019-04-14_final
2019-05-20 12:04:35	ga_s2am_ard_3-2-1_49KGP_2019-05-20_final
2019-06-29 12:04:47	ga_s2am_ard_3-2-1_50JKT_2019-06-29_final
2019-09-01 11:46:16	ga_s2am_ard_3-2-1_50JQL_2019-09-01_final
2019-09-10 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-09-10_final
2019-09-27 12:03:45	ga_s2am_ard_3-2-1_50KKB_2019-09-27_final
2019-10-27 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-10-27_final
2019-10-30 12:13:57	ga_s2am_ard_3-2-1_50KKA_2019-10-30_final
2019-10-31 11:45:50	ga_s2am_ard_3-2-1_50JQN_2019-10-31_final
2019-10-31 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-10-31_final
2019-12-23 11:52:14	ga_s2am_ard_3-2-1_50KQG_2019-12-23_final.stac-item
2020-01-05 12:05:50	ga_s2am_ard_3-2-1_50JKN_2020-01-05_final
2020-01-15 12:04:36	ga_s2am_ard_3-2-1_49JHN_2020-01-15_final
2020-04-04 12:03:19	ga_s2am_ard_3-2-1_50KMC_2020-04-04_final
2020-06-07 11:47:29	ga_s2am_ard_3-2-1_50HPG_2020-06-07_final.stac-item
2020-06-10 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-06-10_final
2020-06-16 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-06-16_final
2020-07-17 11:44:35	ga_s2am_ard_3-2-1_50JRT_2020-07-17_final
2020-12-04 11:44:29	ga_s2am_ard_3-2-1_50JRT_2020-12-04_final
2021-01-12 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-12_final
2021-01-16 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-01-16_final
2021-02-05 11:56:17	ga_s2am_ard_3-2-1_50JNL_2021-02-05_final
2021-03-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-03-23_final
2021-04-06 11:55:49	ga_s2am_ard_3-2-1_50JMN_2021-04-06_final
2021-05-06 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2021-05-06_final
2021-06-15 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-06-15_final
2021-07-01 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-07-01_final
2021-07-08 12:04:01	ga_s2am_ard_3-2-1_50KKA_2021-07-08_final
2021-07-19 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-07-19_final
2021-07-28 12:03:47	ga_s2am_ard_3-2-1_50KKB_2021-07-28_final
2021-08-04 11:56:33	ga_s2am_ard_3-2-1_50HNK_2021-08-04_final
2021-09-16 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-09-16_final
2021-10-06 12:05:05	ga_s2am_ard_3-2-1_49JGM_2021-10-06_final
2021-10-23 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2021-10-23_final
2021-11-05 12:04:31	ga_s2am_ard_3-2-1_49KHP_2021-11-05_final
2021-12-19 11:45:36	ga_s2am_ard_3-2-1_50JPP_2021-12-19_final
2021-12-19 11:46:32	ga_s2am_ard_3-2-1_50JML_2021-12-19_final
2022-01-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-01-01_final
2022-01-05 11:37:04	ga_s2am_ard_3-2-1_50HQH_2022-01-05_final
2022-02-13 12:05:00	ga_s2am_ard_3-2-1_49JGM_2022-02-13_final
2022-02-13 12:05:55	ga_s2am_ard_3-2-1_50JKN_2022-02-13_final
2022-03-05 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2022-03-05_final
2022-03-22 11:53:20	ga_s2am_ard_3-2-1_50KQC_2022-03-22_final
2022-06-14 11:37:02	ga_s2am_ard_3-2-1_50HPJ_2022-06-14_final
2022-07-10 11:56:49	ga_s2am_ard_3-2-1_50HMK_2022-07-10_final
2022-07-30 11:56:46	ga_s2am_ard_3-2-1_50HMK_2022-07-30_final
2022-08-09 11:54:56	ga_s2am_ard_3-2-1_50JLT_2022-08-09_final
2022-09-01 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-09-01_final.stac-item
2022-09-21 12:03:52	ga_s2am_ard_3-2-1_50KKB_2022-09-21_final.stac-item
2022-10-11 12:04:38	ga_s2am_ard_3-2-1_49JHN_2022-10-11_final.stac-item
2022-11-24 11:43:18	ga_s2am_ard_3-2-1_50KRC_2022-11-24_final.stac-item
2022-12-27 11:53:16	ga_s2am_ard_3-2-1_50KQC_2022-12-27_final.stac-item
2023-01-09 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2023-01-09_final.stac-item
2023-01-23 11:43:00	ga_s2am_ard_3-2-1_50KRD_2023-01-23_final.stac-item
2023-01-23 11:45:46	ga_s2am_ard_3-2-1_50JPN_2023-01-23_final.stac-item
2023-01-29 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-01-29_final.stac-item
2023-02-21 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-02-21_final.stac-item
2023-04-09 12:06:04	ga_s2am_ard_3-2-1_50JLM_2023-04-09_final.stac-item
2023-05-06 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-05-06_final.stac-item
2023-05-09 12:04:13	ga_s2am_ard_3-2-1_50KKV_2023-05-09_final.stac-item
2023-05-19 12:05:57	ga_s2am_ard_3-2-1_50JKN_2023-05-19_final.stac-item
2023-06-18 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2023-06-18_final.stac-item
2023-07-31 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2023-07-31_final.stac-item
2023-09-30 11:46:32	ga_s2am_ard_3-2-1_50HQK_2023-09-30_final.stac-item
2023-12-19 11:43:00	ga_s2am_ard_3-2-1_50KRD_2023-12-19_final.stac-item
2024-01-21 11:52:12	ga_s2am_ard_3-2-1_50KQG_2024-01-21_final.stac-item
2024-03-24 12:03:28	ga_s2am_ard_3-2-1_50KLC_2024-03-24_final.stac-item
2024-04-07 11:43:14	ga_s2am_ard_3-2-1_50KQC_2024-04-07_final.stac-item
2024-04-13 12:04:33	ga_s2am_ard_3-2-1_49KGP_2024-04-13_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