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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50JNL_2015-10-22_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLH_2016-03-03_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKS_2016-09-12_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50JKM_2016-09-29_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JKR_2016-10-02_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHS_2016-11-01_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JLP_2016-11-18_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JHM_2016-11-21_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JNM_2016-11-28_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KGQ_2016-12-04_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKM_2016-12-21_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JHM_2017-03-21_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HMK_2017-04-14_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JML_2017-04-27_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JML_2017-09-14_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JKM_2017-12-23_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JMR_2017-12-23_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JNM_2017-12-30_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JMN_2018-01-12_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JHM_2018-01-15_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JMT_2018-02-01_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JML_2018-03-03_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMJ_2018-03-20_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49KHQ_2018-04-05_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HQK_2018-05-16_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMJ_2018-05-29_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JLQ_2018-07-01_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JMN_2018-09-09_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JNM_2018-09-26_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JLM_2018-10-02_final
2018-11-15 11:47:09	ga_s2am_ard_3-2-1_50HLH_2018-11-15_final
2018-12-21 12:05:03	ga_s2am_ard_3-2-1_50JKR_2018-12-21_final
2018-12-24 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2018-12-24_final
2018-12-25 11:45:46	ga_s2am_ard_3-2-1_50JNN_2018-12-25_final
2019-01-04 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-01-04_final
2019-01-14 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-01-14_final
2019-03-15 11:47:02	ga_s2am_ard_3-2-1_50HNH_2019-03-15_final
2019-03-18 11:56:01	ga_s2am_ard_3-2-1_50JNM_2019-03-18_final
2019-03-21 12:04:44	ga_s2am_ard_3-2-1_49JGN_2019-03-21_final
2019-05-07 11:55:57	ga_s2am_ard_3-2-1_50JMN_2019-05-07_final
2019-08-22 11:46:10	ga_s2am_ard_3-2-1_50JNM_2019-08-22_final
2019-08-25 11:55:44	ga_s2am_ard_3-2-1_50JLP_2019-08-25_final
2019-09-04 11:55:38	ga_s2am_ard_3-2-1_50JMP_2019-09-04_final
2019-11-13 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-11-13_final
2019-11-26 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2019-11-26_final
2019-12-29 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2019-12-29_final
2020-02-04 12:04:49	ga_s2am_ard_3-2-1_50JKS_2020-02-04_final
2020-03-29 11:45:35	ga_s2am_ard_3-2-1_50JNP_2020-03-29_final
2020-05-04 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2020-05-04_final
2020-05-04 12:04:43	ga_s2am_ard_3-2-1_50JLT_2020-05-04_final
2020-06-07 11:47:30	ga_s2am_ard_3-2-1_50HNG_2020-06-07_final.stac-item
2020-06-20 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-06-20_final
2020-06-30 11:55:18	ga_s2am_ard_3-2-1_50JLR_2020-06-30_final
2020-08-19 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-08-19_final
2020-09-18 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2020-09-18_final
2020-09-18 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-09-18_final
2020-11-07 11:56:34	ga_s2am_ard_3-2-1_50HNK_2020-11-07_final
2020-11-17 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2020-11-17_final
2020-12-14 11:46:38	ga_s2am_ard_3-2-1_50HMK_2020-12-14_final
2021-02-19 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-02-19_final
2021-03-10 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-03-10_final
2021-03-30 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-03-30_final
2021-04-16 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2021-04-16_final
2021-04-26 11:56:01	ga_s2am_ard_3-2-1_50JNM_2021-04-26_final
2021-05-09 12:05:28	ga_s2am_ard_3-2-1_49JGK_2021-05-09_final
2021-05-16 11:55:53	ga_s2am_ard_3-2-1_50JMN_2021-05-16_final
2021-05-19 12:04:57	ga_s2am_ard_3-2-1_50JKS_2021-05-19_final
2021-06-01 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-06-01_final
2021-09-23 11:56:14	ga_s2am_ard_3-2-1_50JLM_2021-09-23_final
2021-12-22 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-12-22_final
2022-01-14 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2022-01-14_final
2022-01-14 12:04:58	ga_s2am_ard_3-2-1_49JHM_2022-01-14_final
2022-01-15 11:36:35	ga_s2am_ard_3-2-1_50HQK_2022-01-15_final
2022-03-22 11:55:56	ga_s2am_ard_3-2-1_50JMN_2022-03-22_final
2022-04-27 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2022-04-27_final
2022-05-01 11:55:47	ga_s2am_ard_3-2-1_50JLP_2022-05-01_final
2022-05-21 11:55:48	ga_s2am_ard_3-2-1_50JLP_2022-05-21_final
2022-12-24 11:46:39	ga_s2am_ard_3-2-1_50HMK_2022-12-24_final.stac-item
2022-12-24 11:47:12	ga_s2am_ard_3-2-1_50HLH_2022-12-24_final.stac-item
2023-01-03 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-01-03_final.stac-item
2023-01-06 11:55:41	ga_s2am_ard_3-2-1_50JLP_2023-01-06_final.stac-item
2023-02-12 11:46:10	ga_s2am_ard_3-2-1_50JMM_2023-02-12_final.stac-item
2023-03-04 11:46:37	ga_s2am_ard_3-2-1_50HMK_2023-03-04_final.stac-item
2023-03-11 11:36:33	ga_s2am_ard_3-2-1_50HPK_2023-03-11_final.stac-item
2023-04-06 11:55:42	ga_s2am_ard_3-2-1_50JLP_2023-04-06_final.stac-item
2023-04-09 12:04:33	ga_s2am_ard_3-2-1_50JLT_2023-04-09_final.stac-item
2023-04-23 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-04-23_final.stac-item
2023-09-13 11:55:54	ga_s2am_ard_3-2-1_50JNN_2023-09-13_final.stac-item
2023-10-13 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2023-10-13_final.stac-item
2023-10-13 11:57:04	ga_s2am_ard_3-2-1_50HMH_2023-10-13_final.stac-item
2023-11-25 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2023-11-25_final.stac-item
2023-12-02 11:56:28	ga_s2am_ard_3-2-1_50HMK_2023-12-02_final.stac-item
2023-12-16 11:37:22	ga_s2am_ard_3-2-1_50HNG_2023-12-16_final.stac-item
2024-02-07 11:47:06	ga_s2am_ard_3-2-1_50HMH_2024-02-07_final.stac-item
2024-02-23 12:05:06	ga_s2am_ard_3-2-1_50JLR_2024-02-23_final.stac-item
2024-03-01 11:54:55	ga_s2am_ard_3-2-1_50JMS_2024-03-01_final.stac-item
2024-04-07 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2024-04-07_final.stac-item
2024-04-10 11:56:29	ga_s2am_ard_3-2-1_50HMK_2024-04-10_final.stac-item
2024-04-27 11:46:15	ga_s2am_ard_3-2-1_50JMM_2024-04-27_final.stac-item
2024-05-03 12:03:47	ga_s2am_ard_3-2-1_49KHS_2024-05-03_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