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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50KQF_2015-12-04_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-04-08_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KRC_2016-05-22_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HMG_2016-07-01_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JMN_2016-09-19_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_50KKA_2016-09-25_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPK_2016-10-03_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_50KKA_2016-10-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50KQC_2016-12-05_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KGP_2016-12-24_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JLP_2016-12-31_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KMC_2017-02-19_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGM_2017-03-11_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JLL_2018-03-03_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-03-06_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50KRC_2018-03-13_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_50JQL_2018-04-06_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKQ_2018-07-14_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51HTC_2018-07-15_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50KPV_2018-08-30_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50KQG_2018-09-09_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMH_2018-09-19_final
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51HUD_2018-10-10_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-22_final
2018-12-09 11:26:27	ga_s2am_ard_3-2-1_51HXD_2018-12-09_final
2018-12-21 12:05:32	ga_s2am_ard_3-2-1_50JKP_2018-12-21_final
2019-01-17 11:53:13	ga_s2am_ard_3-2-1_50KQC_2019-01-17_final
2019-01-20 12:03:20	ga_s2am_ard_3-2-1_50KMC_2019-01-20_final
2019-02-23 11:47:13	ga_s2am_ard_3-2-1_50HPG_2019-02-23_final.stac-item
2019-03-04 12:14:22	ga_s2am_ard_3-2-1_49KGP_2019-03-04_final
2019-03-19 11:26:59	ga_s2am_ard_3-2-1_51HUC_2019-03-19_final
2019-03-31 12:05:09	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-04-01 11:36:29	ga_s2am_ard_3-2-1_51HUE_2019-04-01_final
2019-04-07 11:53:44	ga_s2am_ard_3-2-1_50KMB_2019-04-07_final
2019-04-27 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-04-27_final
2019-05-08 11:26:36	ga_s2am_ard_3-2-1_51HUE_2019-05-08_final
2019-06-02 12:13:56	ga_s2am_ard_3-2-1_50KKA_2019-06-02_final
2019-06-13 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-06-13_final
2019-09-28 11:37:04	ga_s2am_ard_3-2-1_50HQH_2019-09-28_final
2019-10-14 11:56:39	ga_s2am_ard_3-2-1_50HMK_2019-10-14_final
2019-12-21 11:16:16	ga_s2am_ard_3-2-1_51HYE_2019-12-21_final
2020-02-18 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2020-02-18_final
2020-03-22 11:53:21	ga_s2am_ard_3-2-1_50KNC_2020-03-22_final
2020-05-11 11:56:27	ga_s2am_ard_3-2-1_50JML_2020-05-11_final
2020-05-18 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-18_final
2020-06-30 11:56:01	ga_s2am_ard_3-2-1_50JLN_2020-06-30_final
2020-07-13 12:03:28	ga_s2am_ard_3-2-1_50KMC_2020-07-13_final
2020-09-11 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-09-11_final
2020-10-08 11:53:23	ga_s2am_ard_3-2-1_50KQC_2020-10-08_final
2020-10-18 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-10-18_final
2020-10-21 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-10-21_final
2020-10-31 12:04:04	ga_s2am_ard_3-2-1_50KKA_2020-10-31_final
2021-01-27 11:25:13	ga_s2am_ard_3-2-1_51JWK_2021-01-27_final
2021-03-24 11:46:03	ga_s2am_ard_3-2-1_50JPM_2021-03-24_final
2021-03-30 12:05:35	ga_s2am_ard_3-2-1_50JLP_2021-03-30_final
2021-04-06 11:55:49	ga_s2am_ard_3-2-1_50JMN_2021-04-06_final
2021-04-30 11:34:22	ga_s2am_ard_3-2-1_51JWN_2021-04-30_final
2021-05-06 11:54:03	ga_s2am_ard_3-2-1_50KPV_2021-05-06_final
2021-05-16 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-05-16_final
2021-06-01 12:13:55	ga_s2am_ard_3-2-1_50KKA_2021-06-01_final
2021-08-11 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2021-08-11_final
2021-08-15 11:26:38	ga_s2am_ard_3-2-1_51HXD_2021-08-15_final
2021-09-13 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-09-13_final
2021-09-16 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2021-09-16_final
2021-09-19 12:13:56	ga_s2am_ard_3-2-1_50KKA_2021-09-19_final
2021-10-16 12:04:48	ga_s2am_ard_3-2-1_49JHN_2021-10-16_final
2021-11-12 11:52:36	ga_s2am_ard_3-2-1_50KQF_2021-11-12_final.stac-item
2021-11-13 11:26:42	ga_s2am_ard_3-2-1_51HWD_2021-11-13_final
2021-12-02 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-12-02_final
2022-02-11 11:27:01	ga_s2am_ard_3-2-1_51HUC_2022-02-11_final
2022-02-14 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-02-14_final
2022-02-27 11:46:40	ga_s2am_ard_3-2-1_50HNK_2022-02-27_final
2022-03-06 11:34:36	ga_s2am_ard_3-2-1_51JUN_2022-03-06_final
2022-03-10 11:17:03	ga_s2am_ard_3-2-1_51HWC_2022-03-10_final.stac-item
2022-04-27 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-04-27_final
2022-05-28 11:46:45	ga_s2am_ard_3-2-1_50HNK_2022-05-28_final
2022-08-06 11:46:34	ga_s2am_ard_3-2-1_50JNL_2022-08-06_final
2022-09-15 11:46:06	ga_s2am_ard_3-2-1_51JTG_2022-09-15_final.stac-item
2022-10-14 12:13:59	ga_s2am_ard_3-2-1_49KHR_2022-10-14_final.stac-item
2023-01-03 11:46:00	ga_s2am_ard_3-2-1_50JQM_2023-01-03_final.stac-item
2023-01-24 11:16:55	ga_s2am_ard_3-2-1_51HWC_2023-01-24_final.stac-item
2023-04-10 11:37:17	ga_s2am_ard_3-2-1_50HQG_2023-04-10_final.stac-item
2023-04-22 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-04-22_final.stac-item
2023-05-19 12:03:29	ga_s2am_ard_3-2-1_50KLC_2023-05-19_final.stac-item
2023-05-22 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2023-05-22_final.stac-item
2023-10-23 11:56:18	ga_s2am_ard_3-2-1_50JNL_2023-10-23_final.stac-item
2023-10-26 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-10-26_final.stac-item
2023-11-30 11:16:32	ga_s2am_ard_3-2-1_51HXD_2023-11-30_final.stac-item
2023-12-12 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-12-12_final.stac-item
2024-01-11 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2024-01-11_final.stac-item
2024-02-07 11:44:27	ga_s2am_ard_3-2-1_51JTN_2024-02-07_final.stac-item
2024-02-07 11:46:30	ga_s2am_ard_3-2-1_50HNK_2024-02-07_final.stac-item
2024-03-04 12:04:43	ga_s2am_ard_3-2-1_49JHN_2024-03-04_final.stac-item
2024-03-18 11:46:23	ga_s2am_ard_3-2-1_50JNL_2024-03-18_final.stac-item
2024-04-04 11:37:04	ga_s2am_ard_3-2-1_50HPH_2024-04-04_final.stac-item
2024-04-20 11:56:33	ga_s2am_ard_3-2-1_50HNK_2024-04-20_final.stac-item
2024-04-30 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2024-04-30_final.stac-item
2024-05-11 11:26:08	ga_s2am_ard_3-2-1_51JUG_2024-05-11_final.stac-item
2024-05-13 12:03:30	ga_s2am_ard_3-2-1_50KLC_2024-05-13_final.stac-item
2024-05-13 12:04:31	ga_s2am_ard_3-2-1_49KHP_2024-05-13_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