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
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGJ_2016-02-08_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JNL_2016-06-11_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HQK_2016-06-18_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JLN_2016-08-23_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HPJ_2016-10-23_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JGM_2017-04-20_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_50JLQ_2017-05-20_final
2017-12-09 12:13:38	ga_s2am_ard_3-2-1_50KKA_2017-12-09_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMG_2018-01-19_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JMN_2018-03-13_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGM_2018-03-16_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNK_2018-03-20_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HPJ_2018-06-28_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_50JRS_2018-07-05_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_50KLC_2018-08-13_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JLL_2018-08-30_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KKB_2018-09-02_final
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-10-12_final
2018-11-28 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-11-28_final
2018-12-21 12:04:16	ga_s2am_ard_3-2-1_50KLU_2018-12-21_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_50KKB_2019-02-09_final
2019-04-14 11:46:43	ga_s2am_ard_3-2-1_50HPK_2019-04-14_final
2019-06-22 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-06-22_final
2019-07-10 11:36:39	ga_s2am_ard_3-2-1_50HQK_2019-07-10_final
2019-07-16 11:57:25	ga_s2am_ard_3-2-1_50HMG_2019-07-16_final.stac-item
2019-07-26 11:56:01	ga_s2am_ard_3-2-1_50JLN_2019-07-26_final
2019-08-19 11:37:29	ga_s2am_ard_3-2-1_50HNG_2019-08-19_final.stac-item
2019-09-18 11:36:33	ga_s2am_ard_3-2-1_50HQK_2019-09-18_final
2019-10-07 12:03:26	ga_s2am_ard_3-2-1_50KMC_2019-10-07_final
2019-10-07 12:03:43	ga_s2am_ard_3-2-1_50KLB_2019-10-07_final
2019-11-16 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2019-11-16_final
2019-11-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-11-29_final
2019-12-29 12:13:49	ga_s2am_ard_3-2-1_49KHR_2019-12-29_final
2020-01-16 11:36:24	ga_s2am_ard_3-2-1_50HPK_2020-01-16_final
2020-03-09 11:46:30	ga_s2am_ard_3-2-1_50HPK_2020-03-09_final
2020-03-16 11:35:33	ga_s2am_ard_3-2-1_50JQP_2020-03-16_final
2020-03-25 12:03:34	ga_s2am_ard_3-2-1_50KMB_2020-03-25_final
2020-04-28 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2020-04-28_final
2020-05-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-05-28_final
2020-06-30 11:56:27	ga_s2am_ard_3-2-1_50JML_2020-06-30_final
2020-07-07 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-07-07_final
2020-07-13 12:05:56	ga_s2am_ard_3-2-1_50JLN_2020-07-13_final
2020-08-29 11:53:26	ga_s2am_ard_3-2-1_50KPC_2020-08-29_final
2020-09-01 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-09-01_final
2020-09-28 11:56:16	ga_s2am_ard_3-2-1_50JLM_2020-09-28_final
2020-11-10 12:05:16	ga_s2am_ard_3-2-1_50JKR_2020-11-10_final
2021-01-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-01-06_final
2021-01-10 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-01-10_final
2021-01-22 12:14:08	ga_s2am_ard_3-2-1_50KKV_2021-01-22_final
2021-01-26 11:54:45	ga_s2am_ard_3-2-1_50JLT_2021-01-26_final
2021-02-09 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2021-02-09_final
2021-02-18 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-02-18_final
2021-04-19 12:04:55	ga_s2am_ard_3-2-1_49JGM_2021-04-19_final
2021-05-09 12:03:19	ga_s2am_ard_3-2-1_50KNC_2021-05-09_final
2021-06-18 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-06-18_final
2021-07-05 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-07-05_final
2021-08-14 11:56:20	ga_s2am_ard_3-2-1_50JNL_2021-08-14_final
2021-08-17 12:05:54	ga_s2am_ard_3-2-1_50JLN_2021-08-17_final
2021-09-13 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-09-13_final
2021-11-12 11:56:20	ga_s2am_ard_3-2-1_50JNL_2021-11-12_final
2021-11-18 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-11-18_final
2021-12-19 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-12-19_final.stac-item
2021-12-28 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-12-28_final
2022-01-05 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2022-01-05_final
2022-01-21 11:56:14	ga_s2am_ard_3-2-1_50JKM_2022-01-21_final
2022-01-31 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-01-31_final
2022-02-07 11:46:33	ga_s2am_ard_3-2-1_50HPK_2022-02-07_final
2022-02-16 12:13:59	ga_s2am_ard_3-2-1_49KGR_2022-02-16_final
2022-04-08 11:46:13	ga_s2am_ard_3-2-1_50JMM_2022-04-08_final
2022-05-01 11:57:23	ga_s2am_ard_3-2-1_50HLG_2022-05-01_final.stac-item
2022-05-25 11:36:45	ga_s2am_ard_3-2-1_50HPK_2022-05-25_final
2022-06-10 11:53:59	ga_s2am_ard_3-2-1_50KPA_2022-06-10_final
2022-07-04 11:37:05	ga_s2am_ard_3-2-1_50HPJ_2022-07-04_final
2022-07-06 12:14:26	ga_s2am_ard_3-2-1_49KGQ_2022-07-06_final
2022-08-22 12:04:44	ga_s2am_ard_3-2-1_49KGP_2022-08-22_final
2022-09-18 11:56:31	ga_s2am_ard_3-2-1_50JML_2022-09-18_final.stac-item
2022-10-01 12:03:27	ga_s2am_ard_3-2-1_50KNC_2022-10-01_final.stac-item
2022-10-11 12:04:34	ga_s2am_ard_3-2-1_49KGP_2022-10-11_final.stac-item
2022-12-07 11:56:00	ga_s2am_ard_3-2-1_50JKN_2022-12-07_final.stac-item
2022-12-14 11:46:05	ga_s2am_ard_3-2-1_50JPM_2022-12-14_final.stac-item
2022-12-23 12:13:37	ga_s2am_ard_3-2-1_50KKB_2022-12-23_final.stac-item
2023-02-11 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-02-11_final.stac-item
2023-02-11 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-02-11_final.stac-item
2023-02-18 12:05:38	ga_s2am_ard_3-2-1_50JKP_2023-02-18_final.stac-item
2023-04-03 11:45:24	ga_s2am_ard_3-2-1_50JNQ_2023-04-03_final.stac-item
2023-04-26 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-04-26_final.stac-item
2023-06-08 12:04:35	ga_s2am_ard_3-2-1_49KGP_2023-06-08_final.stac-item
2023-07-02 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-07-02_final.stac-item
2023-08-24 11:56:05	ga_s2am_ard_3-2-1_50JKN_2023-08-24_final.stac-item
2023-09-27 11:37:05	ga_s2am_ard_3-2-1_50HQH_2023-09-27_final.stac-item
2023-10-13 11:55:53	ga_s2am_ard_3-2-1_50JMN_2023-10-13_final.stac-item
2023-11-05 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-05_final.stac-item
2023-11-22 11:53:27	ga_s2am_ard_3-2-1_50KMC_2023-11-22_final.stac-item
2023-12-05 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2023-12-05_final.stac-item
2023-12-15 12:03:55	ga_s2am_ard_3-2-1_50KKA_2023-12-15_final.stac-item
2024-01-15 11:37:14	ga_s2am_ard_3-2-1_50HPG_2024-01-15_final.stac-item
2024-01-17 12:13:50	ga_s2am_ard_3-2-1_49KGR_2024-01-17_final.stac-item
2024-04-10 11:56:28	ga_s2am_ard_3-2-1_50HNK_2024-04-10_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