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
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JKR_2015-11-27_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGM_2015-11-30_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JNR_2015-12-04_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JNN_2015-12-21_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HNG_2016-01-07_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JHN_2016-01-16_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_50JNR_2016-02-19_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGK_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JNL_2016-04-19_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HNK_2016-05-09_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPG_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLP_2016-05-22_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JMR_2016-06-14_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGK_2016-09-02_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JHM_2016-10-02_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNH_2016-12-05_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMJ_2016-12-15_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JLR_2017-01-20_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGK_2017-03-21_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKN_2017-03-31_final.stac-item
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50JNL_2017-07-26_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGL_2017-09-07_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLJ_2017-09-14_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-09-30_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-10-10_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HMH_2017-10-31_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HLH_2018-03-03_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMH_2018-04-02_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGL_2018-04-05_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-09-06_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-10-02_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMH_2018-10-29_final
2018-11-08 11:57:05	ga_s2am_ard_3-2-1_50HLH_2018-11-08_final
2018-11-28 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-11-28_final
2019-02-26 11:56:32	ga_s2am_ard_3-2-1_50HMK_2019-02-26_final
2019-04-03 12:13:59	ga_s2am_ard_3-2-1_49KGR_2019-04-03_final
2019-04-03 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2019-04-03_final
2019-04-03 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-04-03_final
2019-04-07 11:55:47	ga_s2am_ard_3-2-1_50JKP_2019-04-07_final
2019-04-07 11:56:01	ga_s2am_ard_3-2-1_50JKN_2019-04-07_final
2019-04-07 11:56:38	ga_s2am_ard_3-2-1_50HMK_2019-04-07_final
2019-04-07 11:56:41	ga_s2am_ard_3-2-1_50HLK_2019-04-07_final
2019-06-22 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-06-22_final
2019-09-04 11:55:59	ga_s2am_ard_3-2-1_50JKN_2019-09-04_final
2019-10-11 11:46:36	ga_s2am_ard_3-2-1_50HPK_2019-10-11_final
2019-10-21 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-21_final
2019-11-23 11:57:03	ga_s2am_ard_3-2-1_50HLH_2019-11-23_final
2019-12-30 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2019-12-30_final
2020-01-12 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-01-12_final
2020-04-04 12:04:45	ga_s2am_ard_3-2-1_50JMS_2020-04-04_final
2020-04-07 12:15:08	ga_s2am_ard_3-2-1_49JGL_2020-04-07_final
2020-06-06 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-06-06_final
2020-06-06 12:15:06	ga_s2am_ard_3-2-1_49JFM_2020-06-06_final
2020-06-13 12:05:47	ga_s2am_ard_3-2-1_50JKP_2020-06-13_final
2020-06-16 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-06-16_final
2020-08-22 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-08-22_final
2020-09-05 11:46:35	ga_s2am_ard_3-2-1_50HQK_2020-09-05_final
2020-10-11 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-10-11_final
2020-11-07 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-11-07_final
2021-01-19 12:04:54	ga_s2am_ard_3-2-1_50JLS_2021-01-19_final
2021-01-19 12:04:58	ga_s2am_ard_3-2-1_50JKS_2021-01-19_final
2021-01-19 12:05:09	ga_s2am_ard_3-2-1_50JLR_2021-01-19_final
2021-01-19 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-01-19_final
2021-01-29 12:04:59	ga_s2am_ard_3-2-1_50JMR_2021-01-29_final
2021-02-22 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-02-22_final
2021-05-22 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-05-22_final
2021-09-03 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-09-03_final
2021-09-06 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-09-06_final
2021-09-26 12:04:52	ga_s2am_ard_3-2-1_50JMS_2021-09-26_final
2021-09-26 12:04:57	ga_s2am_ard_3-2-1_50JLS_2021-09-26_final
2021-09-26 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2021-09-26_final
2021-11-02 11:57:13	ga_s2am_ard_3-2-1_50HLH_2021-11-02_final
2021-12-22 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-12-22_final
2022-06-20 11:56:30	ga_s2am_ard_3-2-1_50JNL_2022-06-20_final
2022-07-10 11:56:31	ga_s2am_ard_3-2-1_50JNL_2022-07-10_final
2022-09-01 12:05:06	ga_s2am_ard_3-2-1_50JLS_2022-09-01_final.stac-item
2022-09-11 12:04:50	ga_s2am_ard_3-2-1_50JLT_2022-09-11_final.stac-item
2022-09-18 11:56:49	ga_s2am_ard_3-2-1_50HLK_2022-09-18_final.stac-item
2022-09-18 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2022-09-18_final.stac-item
2022-09-28 11:56:37	ga_s2am_ard_3-2-1_50HNK_2022-09-28_final.stac-item
2022-10-11 12:05:14	ga_s2am_ard_3-2-1_50JLR_2022-10-11_final.stac-item
2022-10-15 11:46:38	ga_s2am_ard_3-2-1_50HPK_2022-10-15_final.stac-item
2023-02-22 11:47:04	ga_s2am_ard_3-2-1_50HNH_2023-02-22_final.stac-item
2023-02-22 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-02-22_final.stac-item
2023-03-27 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-03-27_final.stac-item
2023-04-06 11:55:38	ga_s2am_ard_3-2-1_50JMP_2023-04-06_final.stac-item
2023-04-06 11:55:49	ga_s2am_ard_3-2-1_50JNN_2023-04-06_final.stac-item
2023-04-06 11:56:14	ga_s2am_ard_3-2-1_50JKM_2023-04-06_final.stac-item
2023-04-16 11:57:05	ga_s2am_ard_3-2-1_50HMH_2023-04-16_final.stac-item
2023-06-12 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-12_final.stac-item
2023-09-06 12:05:57	ga_s2am_ard_3-2-1_50JLN_2023-09-06_final.stac-item
2023-09-07 11:37:12	ga_s2am_ard_3-2-1_50HPH_2023-09-07_final.stac-item
2023-09-10 11:46:42	ga_s2am_ard_3-2-1_50HNK_2023-09-10_final.stac-item
2023-09-16 12:05:44	ga_s2am_ard_3-2-1_50JKP_2023-09-16_final.stac-item
2023-10-06 12:05:56	ga_s2am_ard_3-2-1_50JKN_2023-10-06_final.stac-item
2023-10-13 11:56:05	ga_s2am_ard_3-2-1_50JMM_2023-10-13_final.stac-item
2023-10-13 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-10-13_final.stac-item
2023-10-16 12:05:50	ga_s2am_ard_3-2-1_50JLN_2023-10-16_final.stac-item
2023-11-02 11:57:08	ga_s2am_ard_3-2-1_50HLH_2023-11-02_final.stac-item
2024-01-21 11:56:41	ga_s2am_ard_3-2-1_50HMJ_2024-01-21_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

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