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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HNH_2015-12-21_final.stac-item
2016-01-06 12:04:05	ga_s2am_ard_3-2-1_49KHR_2016-01-06_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50KLB_2016-02-15_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51HTC_2016-04-23_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KNB_2016-07-21_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50JRS_2016-10-26_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51HTC_2016-11-22_final.stac-item
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_50KRB_2017-02-13_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50JQN_2017-02-13_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_50KQU_2017-03-25_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_50KKA_2017-04-03_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49JGN_2017-06-22_final
2017-11-24 11:26:05	ga_s2am_ard_3-2-1_51JUF_2017-11-24_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50JLL_2018-02-01_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JKN_2018-03-06_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMG_2018-03-10_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50KKA_2018-04-15_final
2018-04-20 11:15:50	ga_s2am_ard_3-2-1_51HXD_2018-04-20_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HQJ_2018-07-08_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JKN_2018-08-10_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JMM_2018-11-05_final
2018-12-14 12:13:50	ga_s2am_ard_3-2-1_49KGR_2018-12-14_final
2019-01-21 11:34:12	ga_s2am_ard_3-2-1_51JXN_2019-01-21_final
2019-02-06 11:55:56	ga_s2am_ard_3-2-1_50JKN_2019-02-06_final
2019-03-04 12:14:14	ga_s2am_ard_3-2-1_50KKU_2019-03-04_final
2019-03-15 11:47:15	ga_s2am_ard_3-2-1_50HPG_2019-03-15_final.stac-item
2019-06-27 11:25:00	ga_s2am_ard_3-2-1_51JXL_2019-06-27_final
2019-08-05 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2019-08-05_final
2019-08-31 12:14:42	ga_s2am_ard_3-2-1_49JGN_2019-08-31_final
2019-09-05 11:26:18	ga_s2am_ard_3-2-1_51JUF_2019-09-05_final
2019-10-04 11:53:19	ga_s2am_ard_3-2-1_50KQC_2019-10-04_final
2019-10-07 12:03:43	ga_s2am_ard_3-2-1_50KLB_2019-10-07_final
2019-12-17 11:36:41	ga_s2am_ard_3-2-1_51HTD_2019-12-17_final
2019-12-20 11:46:37	ga_s2am_ard_3-2-1_50HQJ_2019-12-20_final
2020-01-03 11:26:12	ga_s2am_ard_3-2-1_51JUF_2020-01-03_final
2020-01-13 11:24:53	ga_s2am_ard_3-2-1_51JWL_2020-01-13_final
2020-01-19 11:43:45	ga_s2am_ard_3-2-1_50KQA_2020-01-19_final
2020-01-23 11:26:29	ga_s2am_ard_3-2-1_51HXD_2020-01-23_final
2020-02-19 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2020-02-19_final
2020-04-05 11:34:21	ga_s2am_ard_3-2-1_51JWN_2020-04-05_final
2020-05-11 11:56:15	ga_s2am_ard_3-2-1_50JLM_2020-05-11_final
2020-07-20 11:56:16	ga_s2am_ard_3-2-1_50JLM_2020-07-20_final
2020-08-02 12:03:26	ga_s2am_ard_3-2-1_50KNC_2020-08-02_final
2020-10-11 12:04:59	ga_s2am_ard_3-2-1_50JLS_2020-10-11_final
2020-10-21 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-10-21_final
2020-12-07 11:56:23	ga_s2am_ard_3-2-1_50JLL_2020-12-07_final
2020-12-08 11:25:14	ga_s2am_ard_3-2-1_51JVK_2020-12-08_final
2020-12-23 12:14:55	ga_s2am_ard_3-2-1_49JGM_2020-12-23_final
2020-12-27 11:56:29	ga_s2am_ard_3-2-1_50HNK_2020-12-27_final
2021-01-20 11:35:45	ga_s2am_ard_3-2-1_51JUH_2021-01-20_final
2021-02-28 12:04:57	ga_s2am_ard_3-2-1_50JKS_2021-02-28_final
2021-03-14 11:46:22	ga_s2am_ard_3-2-1_50JNL_2021-03-14_final
2021-03-31 11:36:29	ga_s2am_ard_3-2-1_51HTE_2021-03-31_final
2021-04-04 11:15:07	ga_s2am_ard_3-2-1_51JYK_2021-04-04_final
2021-04-10 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2021-04-10_final
2021-07-01 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-07-01_final
2021-07-12 11:43:07	ga_s2am_ard_3-2-1_50KRD_2021-07-12_final
2021-08-11 11:47:19	ga_s2am_ard_3-2-1_50HPG_2021-08-11_final.stac-item
2021-08-27 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-08-27_final
2021-09-24 11:25:45	ga_s2am_ard_3-2-1_51JWH_2021-09-24_final
2021-09-30 11:43:26	ga_s2am_ard_3-2-1_50KQC_2021-09-30_final
2021-10-19 12:15:16	ga_s2am_ard_3-2-1_49JGL_2021-10-19_final
2021-10-23 11:56:31	ga_s2am_ard_3-2-1_50JLL_2021-10-23_final
2021-12-03 11:24:58	ga_s2am_ard_3-2-1_51JWL_2021-12-03_final
2021-12-28 12:14:43	ga_s2am_ard_3-2-1_49JGN_2021-12-28_final
2022-01-11 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-01-11_final
2022-01-31 11:53:25	ga_s2am_ard_3-2-1_50KNC_2022-01-31_final
2022-02-14 11:36:43	ga_s2am_ard_3-2-1_51HUD_2022-02-14_final
2022-03-12 11:53:25	ga_s2am_ard_3-2-1_50KPC_2022-03-12_final
2022-03-22 11:56:25	ga_s2am_ard_3-2-1_50JML_2022-03-22_final
2022-03-28 12:14:29	ga_s2am_ard_3-2-1_49KGP_2022-03-28_final
2022-04-19 11:14:45	ga_s2am_ard_3-2-1_51JYM_2022-04-19_final
2022-04-28 11:47:29	ga_s2am_ard_3-2-1_50HMG_2022-04-28_final.stac-item
2022-05-01 11:55:58	ga_s2am_ard_3-2-1_50JMN_2022-05-01_final
2022-05-31 11:57:02	ga_s2am_ard_3-2-1_50HLJ_2022-05-31_final
2022-07-06 12:14:40	ga_s2am_ard_3-2-1_49KGP_2022-07-06_final
2022-07-30 11:56:21	ga_s2am_ard_3-2-1_50JLM_2022-07-30_final
2022-08-19 11:56:12	ga_s2am_ard_3-2-1_50JKN_2022-08-19_final
2022-11-04 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2022-11-04_final.stac-item
2022-12-10 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2022-12-10_final.stac-item
2022-12-14 11:43:22	ga_s2am_ard_3-2-1_50KQC_2022-12-14_final.stac-item
2022-12-23 12:15:08	ga_s2am_ard_3-2-1_49JGL_2022-12-23_final.stac-item
2023-01-03 11:43:32	ga_s2am_ard_3-2-1_50KRB_2023-01-03_final.stac-item
2023-02-15 11:53:22	ga_s2am_ard_3-2-1_50KNC_2023-02-15_final.stac-item
2023-02-18 12:05:38	ga_s2am_ard_3-2-1_50JKP_2023-02-18_final.stac-item
2023-02-22 11:46:27	ga_s2am_ard_3-2-1_50HQK_2023-02-22_final.stac-item
2023-03-11 11:36:42	ga_s2am_ard_3-2-1_51HTD_2023-03-11_final.stac-item
2023-03-14 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-03-14_final.stac-item
2023-05-09 12:04:30	ga_s2am_ard_3-2-1_49KHP_2023-05-09_final.stac-item
2023-06-12 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-12_final.stac-item
2023-06-26 11:25:16	ga_s2am_ard_3-2-1_51JWK_2023-06-26_final.stac-item
2023-08-15 11:27:00	ga_s2am_ard_3-2-1_51HWC_2023-08-15_final.stac-item
2023-09-01 11:15:01	ga_s2am_ard_3-2-1_51JYL_2023-09-01_final.stac-item
2023-09-19 12:15:02	ga_s2am_ard_3-2-1_49JFM_2023-09-19_final.stac-item
2023-09-30 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2023-09-30_final.stac-item
2023-10-23 11:56:11	ga_s2am_ard_3-2-1_50JLM_2023-10-23_final.stac-item
2023-11-12 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-12_final.stac-item
2023-12-15 12:04:56	ga_s2am_ard_3-2-1_49JGM_2023-12-15_final.stac-item
2023-12-16 11:36:53	ga_s2am_ard_3-2-1_51HUC_2023-12-16_final.stac-item
2023-12-29 11:43:19	ga_s2am_ard_3-2-1_50KQC_2023-12-29_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