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
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JGN_2015-10-01_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50KNC_2015-10-08_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50JQN_2015-11-21_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JMS_2015-11-27_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JNP_2015-12-04_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JMM_2015-12-21_final.stac-item
2015-12-28 11:36:25	ga_s2am_ard_3-2-1_50JPL_2015-12-28_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_50JRS_2016-02-06_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KRB_2016-04-29_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLN_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
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPG_2016-06-05_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLJ_2016-11-18_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JKR_2017-01-20_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHS_2017-01-30_final.stac-item
2017-05-23 12:13:46	ga_s2am_ard_3-2-1_50KKA_2017-05-23_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50KLC_2017-05-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50KMC_2017-05-30_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HMH_2017-09-14_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JGM_2017-09-30_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HLH_2018-02-28_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HNH_2018-02-28_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HMJ_2018-03-03_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKP_2018-04-05_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKR_2018-04-05_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-09-12_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-09-12_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50KKA_2018-09-12_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50KKV_2018-09-12_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50KMC_2018-09-19_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLH_2018-10-09_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMH_2018-10-09_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMJ_2018-10-26_final
2019-01-23 12:14:04	ga_s2am_ard_3-2-1_50KKV_2019-01-23_final
2019-03-18 11:57:03	ga_s2am_ard_3-2-1_50HMH_2019-03-18_final
2019-04-04 11:45:47	ga_s2am_ard_3-2-1_50JQN_2019-04-04_final
2019-04-07 11:56:19	ga_s2am_ard_3-2-1_50JNL_2019-04-07_final
2019-07-29 12:05:13	ga_s2am_ard_3-2-1_49JFM_2019-07-29_final
2019-10-11 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-10-11_final
2019-10-14 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-10-14_final
2019-11-10 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-11-10_final
2020-01-02 11:52:26	ga_s2am_ard_3-2-1_50KPF_2020-01-02_final.stac-item
2020-04-04 12:04:50	ga_s2am_ard_3-2-1_50JLS_2020-04-04_final
2020-04-04 12:04:53	ga_s2am_ard_3-2-1_50JKS_2020-04-04_final
2020-04-04 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-04-04_final
2020-04-04 12:05:34	ga_s2am_ard_3-2-1_50JLP_2020-04-04_final
2020-04-07 12:14:53	ga_s2am_ard_3-2-1_49JGM_2020-04-07_final
2020-05-24 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-05-24_final
2020-06-13 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-13_final
2020-06-16 12:14:13	ga_s2am_ard_3-2-1_50KKV_2020-06-16_final
2020-07-26 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-07-26_final
2020-07-26 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-07-26_final
2020-07-26 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-07-26_final
2020-10-11 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-10-11_final
2021-05-22 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-05-22_final
2021-05-30 11:36:39	ga_s2am_ard_3-2-1_50HPK_2021-05-30_final
2021-09-03 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-09-03_final
2021-09-06 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-09-06_final
2021-09-20 11:45:35	ga_s2am_ard_3-2-1_50JQP_2021-09-20_final
2021-09-26 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2021-09-26_final
2021-09-29 12:14:25	ga_s2am_ard_3-2-1_50KKU_2021-09-29_final
2021-09-30 11:45:51	ga_s2am_ard_3-2-1_50JQN_2021-09-30_final
2021-11-19 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-11-19_final
2021-12-28 12:14:09	ga_s2am_ard_3-2-1_50KKV_2021-12-28_final
2022-01-31 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2022-01-31_final
2022-04-08 11:46:34	ga_s2am_ard_3-2-1_50HPK_2022-04-08_final
2022-04-11 11:57:16	ga_s2am_ard_3-2-1_50HMH_2022-04-11_final
2022-05-07 12:13:44	ga_s2am_ard_3-2-1_50KKB_2022-05-07_final
2022-05-24 12:03:51	ga_s2am_ard_3-2-1_50KKB_2022-05-24_final
2022-06-23 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-06-23_final
2022-09-01 12:05:01	ga_s2am_ard_3-2-1_50JMS_2022-09-01_final.stac-item
2022-09-01 12:05:35	ga_s2am_ard_3-2-1_50JLQ_2022-09-01_final.stac-item
2022-09-09 11:27:18	ga_s2am_ard_3-2-1_51HTC_2022-09-09_final.stac-item
2022-09-11 12:05:37	ga_s2am_ard_3-2-1_50JKQ_2022-09-11_final.stac-item
2022-09-12 11:37:11	ga_s2am_ard_3-2-1_51HTC_2022-09-12_final.stac-item
2022-09-15 11:45:56	ga_s2am_ard_3-2-1_50JQN_2022-09-15_final.stac-item
2022-09-15 11:46:10	ga_s2am_ard_3-2-1_50JQM_2022-09-15_final.stac-item
2022-09-21 12:05:45	ga_s2am_ard_3-2-1_50JLP_2022-09-21_final.stac-item
2022-10-15 11:46:58	ga_s2am_ard_3-2-1_50HQH_2022-10-15_final.stac-item
2023-01-13 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-01-13_final.stac-item
2023-01-26 11:52:17	ga_s2am_ard_3-2-1_50KQG_2023-01-26_final.stac-item
2023-04-02 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-04-02_final.stac-item
2023-04-03 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-04-03_final.stac-item
2023-04-03 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-04-03_final.stac-item
2023-04-06 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-04-06_final.stac-item
2023-04-09 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2023-04-09_final.stac-item
2023-04-29 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-04-29_final.stac-item
2023-06-18 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-18_final.stac-item
2023-07-18 12:06:08	ga_s2am_ard_3-2-1_50JLM_2023-07-18_final.stac-item
2023-09-03 11:57:04	ga_s2am_ard_3-2-1_50HMH_2023-09-03_final.stac-item
2023-09-06 12:05:04	ga_s2am_ard_3-2-1_50JMR_2023-09-06_final.stac-item
2023-09-20 11:46:03	ga_s2am_ard_3-2-1_50JQM_2023-09-20_final.stac-item
2023-10-16 12:05:54	ga_s2am_ard_3-2-1_50JKN_2023-10-16_final.stac-item
2023-10-16 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-10-16_final.stac-item
2023-11-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2023-11-29_final.stac-item
2023-12-02 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2023-12-02_final.stac-item
2023-12-22 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-12-22_final.stac-item
2024-01-01 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2024-01-01_final.stac-item
2024-01-18 11:47:01	ga_s2am_ard_3-2-1_50HMH_2024-01-18_final.stac-item
2024-03-01 11:57:06	ga_s2am_ard_3-2-1_50HMH_2024-03-01_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