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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HQK_2015-12-21_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGQ_2016-01-09_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKR_2016-01-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHS_2016-03-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JMN_2016-05-22_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMH_2016-11-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HLG_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HQK_2016-12-15_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50JLR_2016-12-21_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLH_2017-01-14_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKM_2017-03-31_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HMG_2017-04-14_final.stac-item
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HQK_2017-05-24_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JHN_2017-11-16_final
2017-11-23 11:56:04	ga_s2am_ard_3-2-1_50HNK_2017-11-23_final
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50JML_2018-01-02_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HPK_2018-02-15_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50JKP_2018-02-21_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50JNM_2018-05-09_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGK_2018-05-15_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JML_2018-05-22_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPG_2018-05-29_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JMN_2018-06-01_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HMJ_2018-06-21_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JLP_2018-07-14_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JLT_2018-08-03_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-08-06_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JLN_2018-08-13_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50JNM_2018-08-27_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HNK_2018-10-09_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNM_2018-10-26_final
2018-11-08 11:55:42	ga_s2am_ard_3-2-1_50JKP_2018-11-08_final
2018-12-25 11:47:02	ga_s2am_ard_3-2-1_50HMH_2018-12-25_final
2018-12-28 11:55:46	ga_s2am_ard_3-2-1_50JMN_2018-12-28_final
2019-01-27 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-01-27_final
2019-02-03 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2019-02-03_final
2019-02-19 12:04:53	ga_s2am_ard_3-2-1_49JHM_2019-02-19_final
2019-03-28 11:55:41	ga_s2am_ard_3-2-1_50JLP_2019-03-28_final
2019-04-07 11:55:43	ga_s2am_ard_3-2-1_50JLP_2019-04-07_final
2019-04-20 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-04-20_final
2019-04-21 11:37:10	ga_s2am_ard_3-2-1_50HPH_2019-04-21_final
2019-05-10 12:04:50	ga_s2am_ard_3-2-1_49JGN_2019-05-10_final
2019-05-24 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-05-24_final
2019-06-06 11:55:52	ga_s2am_ard_3-2-1_50JNN_2019-06-06_final
2019-06-09 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-06-09_final
2019-08-05 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2019-08-05_final
2019-08-05 11:55:54	ga_s2am_ard_3-2-1_50JNN_2019-08-05_final
2019-09-11 11:46:07	ga_s2am_ard_3-2-1_50JNM_2019-09-11_final
2019-10-07 12:04:45	ga_s2am_ard_3-2-1_50JKT_2019-10-07_final
2019-12-13 11:55:49	ga_s2am_ard_3-2-1_50JMN_2019-12-13_final
2020-01-02 11:56:02	ga_s2am_ard_3-2-1_50JMM_2020-01-02_final
2020-01-05 12:04:37	ga_s2am_ard_3-2-1_50JKT_2020-01-05_final
2020-01-19 11:46:02	ga_s2am_ard_3-2-1_50JNM_2020-01-19_final
2020-03-09 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2020-03-09_final
2020-03-12 11:56:07	ga_s2am_ard_3-2-1_50JLM_2020-03-12_final
2020-03-22 11:56:18	ga_s2am_ard_3-2-1_50JML_2020-03-22_final
2020-04-14 12:04:38	ga_s2am_ard_3-2-1_50JLT_2020-04-14_final
2020-07-03 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-07-03_final
2020-07-20 11:55:47	ga_s2am_ard_3-2-1_50JLP_2020-07-20_final
2020-09-01 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-09-01_final
2020-10-18 11:55:55	ga_s2am_ard_3-2-1_50JNN_2020-10-18_final
2020-11-27 11:55:51	ga_s2am_ard_3-2-1_50JMN_2020-11-27_final
2021-01-06 11:56:23	ga_s2am_ard_3-2-1_50JML_2021-01-06_final
2021-02-18 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-02-18_final
2021-02-25 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-02-25_final
2021-03-24 11:46:07	ga_s2am_ard_3-2-1_50JNM_2021-03-24_final
2021-03-27 11:55:11	ga_s2am_ard_3-2-1_50JLR_2021-03-27_final
2021-03-27 11:55:51	ga_s2am_ard_3-2-1_50JMN_2021-03-27_final
2021-08-10 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2021-08-10_final
2021-10-10 11:46:46	ga_s2am_ard_3-2-1_50HMK_2021-10-10_final
2021-12-12 11:55:48	ga_s2am_ard_3-2-1_50JNN_2021-12-12_final
2022-02-23 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2022-02-23_final
2022-03-05 12:04:43	ga_s2am_ard_3-2-1_50JLT_2022-03-05_final
2022-05-24 12:05:30	ga_s2am_ard_3-2-1_50JLQ_2022-05-24_final
2022-05-25 11:37:24	ga_s2am_ard_3-2-1_50HQG_2022-05-25_final.stac-item
2022-06-17 11:47:25	ga_s2am_ard_3-2-1_50HLH_2022-06-17_final
2022-09-11 12:05:37	ga_s2am_ard_3-2-1_50JKQ_2022-09-11_final.stac-item
2022-12-27 11:56:35	ga_s2am_ard_3-2-1_50HMK_2022-12-27_final.stac-item
2023-03-07 11:56:18	ga_s2am_ard_3-2-1_50JML_2023-03-07_final.stac-item
2023-04-23 11:46:07	ga_s2am_ard_3-2-1_50JNM_2023-04-23_final.stac-item
2023-05-19 12:03:46	ga_s2am_ard_3-2-1_49KHS_2023-05-19_final.stac-item
2023-06-02 11:45:28	ga_s2am_ard_3-2-1_50JNQ_2023-06-02_final.stac-item
2023-06-12 11:47:25	ga_s2am_ard_3-2-1_50HNG_2023-06-12_final.stac-item
2023-07-18 12:03:49	ga_s2am_ard_3-2-1_49KHS_2023-07-18_final.stac-item
2023-07-22 11:46:34	ga_s2am_ard_3-2-1_50HQK_2023-07-22_final.stac-item
2023-08-24 11:56:46	ga_s2am_ard_3-2-1_50HLK_2023-08-24_final.stac-item
2023-10-13 11:54:53	ga_s2am_ard_3-2-1_50JMS_2023-10-13_final.stac-item
2023-10-26 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2023-10-26_final.stac-item
2023-11-12 11:55:09	ga_s2am_ard_3-2-1_50JMR_2023-11-12_nrt.stac-item
2023-11-22 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2023-11-22_final.stac-item
2023-11-28 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2023-11-28_final.stac-item
2024-01-15 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2024-01-15_final.stac-item
2024-01-18 11:45:59	ga_s2am_ard_3-2-1_50JNM_2024-01-18_final.stac-item
2024-01-21 11:55:45	ga_s2am_ard_3-2-1_50JMN_2024-01-21_final.stac-item
2024-02-04 11:36:30	ga_s2am_ard_3-2-1_50HQK_2024-02-04_final.stac-item
2024-02-27 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2024-02-27_final.stac-item
2024-03-11 11:56:22	ga_s2am_ard_3-2-1_50JML_2024-03-11_final.stac-item
2024-03-21 11:56:05	ga_s2am_ard_3-2-1_50JNM_2024-03-21_final.stac-item
2024-03-31 11:54:43	ga_s2am_ard_3-2-1_50JLT_2024-03-31_final.stac-item
2024-03-31 11:56:50	ga_s2am_ard_3-2-1_50HMJ_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