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
2016-01-13 11:56:42	ga_s2am_ard_3-2-1_50HMK_2016-01-13_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HMK_2016-04-02_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50JKS_2016-11-01_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JKT_2016-12-11_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50JNN_2016-12-25_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JHN_2017-01-20_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JHN_2017-03-11_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JKR_2017-03-11_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JMT_2017-03-11_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JMR_2017-04-27_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_50JKT_2017-06-09_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_50JKR_2017-08-28_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_50JLQ_2017-08-28_final
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50HLK_2018-01-02_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JNN_2018-01-12_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JKQ_2018-01-25_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HMK_2018-02-01_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50JNP_2018-02-11_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JNN_2018-03-13_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMJ_2018-04-02_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JNP_2018-04-02_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HPG_2018-05-16_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMJ_2018-07-08_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50JNN_2018-07-08_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JLS_2018-07-14_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HMK_2018-08-20_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KHP_2018-08-26_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KHP_2018-09-02_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50JNN_2018-10-16_final
2018-11-08 11:56:32	ga_s2am_ard_3-2-1_50HMK_2018-11-08_final
2018-12-11 12:04:49	ga_s2am_ard_3-2-1_50JKS_2018-12-11_final
2018-12-22 11:37:09	ga_s2am_ard_3-2-1_50HQG_2018-12-22_final.stac-item
2018-12-31 12:04:36	ga_s2am_ard_3-2-1_49JHN_2018-12-31_final
2018-12-31 12:04:50	ga_s2am_ard_3-2-1_49JHM_2018-12-31_final
2019-01-27 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-01-27_final
2019-03-15 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2019-03-15_final
2019-03-15 11:47:11	ga_s2am_ard_3-2-1_50HMH_2019-03-15_final
2019-03-21 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2019-03-21_final
2019-03-21 12:04:51	ga_s2am_ard_3-2-1_50JLS_2019-03-21_final
2019-04-24 11:45:57	ga_s2am_ard_3-2-1_50JNN_2019-04-24_final
2019-04-24 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-04-24_final
2019-08-15 11:55:16	ga_s2am_ard_3-2-1_50JLR_2019-08-15_final
2019-09-17 12:05:11	ga_s2am_ard_3-2-1_50JKR_2019-09-17_final
2019-10-17 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2019-10-17_final
2019-10-21 11:46:21	ga_s2am_ard_3-2-1_50JNL_2019-10-21_final
2019-11-03 11:56:08	ga_s2am_ard_3-2-1_50JLN_2019-11-03_final
2019-11-16 12:04:59	ga_s2am_ard_3-2-1_50JKS_2019-11-16_final
2019-12-06 12:04:55	ga_s2am_ard_3-2-1_50JKS_2019-12-06_final
2019-12-10 11:45:50	ga_s2am_ard_3-2-1_50JNN_2019-12-10_final
2019-12-13 11:55:45	ga_s2am_ard_3-2-1_50JNN_2019-12-13_final
2019-12-23 11:54:39	ga_s2am_ard_3-2-1_50JLT_2019-12-23_final
2020-02-04 12:03:36	ga_s2am_ard_3-2-1_49KHS_2020-02-04_final.stac-item
2020-04-27 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2020-04-27_final
2020-05-14 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-05-14_final
2020-05-18 11:46:06	ga_s2am_ard_3-2-1_50JNN_2020-05-18_final
2020-06-03 12:05:18	ga_s2am_ard_3-2-1_50JKR_2020-06-03_final
2020-06-07 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-06-07_final
2020-07-13 12:04:44	ga_s2am_ard_3-2-1_50JLT_2020-07-13_final
2020-09-05 11:45:58	ga_s2am_ard_3-2-1_50JNN_2020-09-05_final
2020-09-11 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2020-09-11_final
2020-09-18 11:55:54	ga_s2am_ard_3-2-1_50JNN_2020-09-18_final
2020-11-27 11:55:49	ga_s2am_ard_3-2-1_50JNN_2020-11-27_final
2020-12-24 11:46:40	ga_s2am_ard_3-2-1_50HMK_2020-12-24_final
2021-01-03 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-01-03_final.stac-item
2021-01-06 11:54:45	ga_s2am_ard_3-2-1_50JLT_2021-01-06_final
2021-03-10 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2021-03-10_final
2021-03-20 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-03-20_final
2021-04-02 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-04-02_final
2021-04-29 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-04-29_final
2021-06-05 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-06-05_final
2021-06-18 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-06-18_final
2021-06-25 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-06-25_final
2021-07-11 12:13:43	ga_s2am_ard_3-2-1_49KHS_2021-07-11_final.stac-item
2021-09-07 11:37:27	ga_s2am_ard_3-2-1_50HNG_2021-09-07_final.stac-item
2021-10-16 12:05:14	ga_s2am_ard_3-2-1_49JFM_2021-10-16_final
2021-11-05 12:05:00	ga_s2am_ard_3-2-1_49JHM_2021-11-05_final
2022-02-13 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2022-02-13_final
2022-04-08 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2022-04-08_final
2022-06-20 11:55:50	ga_s2am_ard_3-2-1_50JMP_2022-06-20_final
2022-09-11 12:05:07	ga_s2am_ard_3-2-1_49JHM_2022-09-11_final.stac-item
2022-10-21 12:04:55	ga_s2am_ard_3-2-1_49JHM_2022-10-21_final.stac-item
2022-12-27 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2022-12-27_final.stac-item
2023-01-06 11:55:48	ga_s2am_ard_3-2-1_50JNN_2023-01-06_final.stac-item
2023-03-20 12:04:55	ga_s2am_ard_3-2-1_50JKS_2023-03-20_final.stac-item
2023-04-09 12:05:12	ga_s2am_ard_3-2-1_50JKR_2023-04-09_final.stac-item
2023-04-13 11:45:54	ga_s2am_ard_3-2-1_50JNN_2023-04-13_final.stac-item
2023-06-12 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-06-12_final.stac-item
2023-09-06 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-09-06_final.stac-item
2023-09-26 12:04:59	ga_s2am_ard_3-2-1_49JHM_2023-09-26_final.stac-item
2023-09-30 11:46:55	ga_s2am_ard_3-2-1_50HQH_2023-09-30_final.stac-item
2023-10-03 11:55:50	ga_s2am_ard_3-2-1_50JMN_2023-10-03_final.stac-item
2023-10-16 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-10-16_final.stac-item
2023-10-23 11:54:44	ga_s2am_ard_3-2-1_50JLT_2023-10-23_final.stac-item
2023-10-26 12:04:57	ga_s2am_ard_3-2-1_49JHM_2023-10-26_final.stac-item
2023-12-12 11:55:05	ga_s2am_ard_3-2-1_50JMR_2023-12-12_final.stac-item
2024-01-01 11:55:46	ga_s2am_ard_3-2-1_50JNN_2024-01-01_final.stac-item
2024-01-11 11:54:50	ga_s2am_ard_3-2-1_50JMS_2024-01-11_final.stac-item
2024-03-11 11:57:20	ga_s2am_ard_3-2-1_50HMG_2024-03-11_final.stac-item
2024-03-28 11:46:41	ga_s2am_ard_3-2-1_50HMK_2024-03-28_final.stac-item
2024-03-31 11:56:36	ga_s2am_ard_3-2-1_50HMK_2024-03-31_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