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_50HPG_2015-12-21_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HQK_2016-01-07_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNL_2016-03-20_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HMJ_2016-05-22_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_50HQK_2016-08-24_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HNG_2016-09-06_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50JMM_2016-10-19_final.stac-item
2016-11-08 11:56:06	ga_s2am_ard_3-2-1_50JNM_2016-11-08_final.stac-item
2016-11-08 11:56:13	ga_s2am_ard_3-2-1_50JNL_2016-11-08_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JMN_2016-11-18_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50JLL_2016-12-08_final
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JLQ_2016-12-28_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JLL_2017-01-07_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JMN_2017-01-07_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JNM_2017-01-07_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HNJ_2017-01-14_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HQK_2017-01-24_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMG_2017-02-03_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLG_2017-02-26_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50JNM_2017-03-05_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGN_2017-06-19_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JKP_2017-08-05_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JLP_2017-09-14_final
2017-10-30 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-10-30_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_50HQH_2017-11-07_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HQJ_2017-11-20_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMH_2018-01-19_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JMM_2018-02-11_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-02-24_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HMJ_2018-02-28_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HLH_2018-03-30_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-04-18_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-05-18_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HQK_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50JMM_2018-05-19_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JMM_2018-05-29_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HPG_2018-06-28_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JLR_2018-07-01_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLP_2018-07-11_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-08-03_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JKS_2018-08-13_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-15_final
2018-11-18 11:55:47	ga_s2am_ard_3-2-1_50JMN_2018-11-18_final
2019-01-10 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2019-01-10_final
2019-02-09 12:04:43	ga_s2am_ard_3-2-1_49JGN_2019-02-09_final
2019-09-17 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2019-09-17_final
2019-11-13 11:56:39	ga_s2am_ard_3-2-1_50HMK_2019-11-13_final
2019-11-26 12:05:12	ga_s2am_ard_3-2-1_50JKR_2019-11-26_final
2019-12-03 11:56:35	ga_s2am_ard_3-2-1_50HMK_2019-12-03_final
2019-12-20 11:46:02	ga_s2am_ard_3-2-1_50JNM_2019-12-20_final
2020-01-05 12:05:06	ga_s2am_ard_3-2-1_50JKR_2020-01-05_final
2020-01-29 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2020-01-29_final
2020-02-01 11:56:39	ga_s2am_ard_3-2-1_50HMJ_2020-02-01_final
2020-05-21 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-05-21_final
2020-05-28 11:46:07	ga_s2am_ard_3-2-1_50JNM_2020-05-28_final
2020-05-31 11:55:45	ga_s2am_ard_3-2-1_50JMP_2020-05-31_final
2020-07-13 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2020-07-13_final
2020-09-25 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-09-25_final
2020-11-20 12:06:06	ga_s2am_ard_3-2-1_50JLM_2020-11-20_final
2020-12-30 12:05:12	ga_s2am_ard_3-2-1_50JKR_2020-12-30_final
2021-01-13 11:46:09	ga_s2am_ard_3-2-1_50JNM_2021-01-13_final
2021-01-19 12:04:40	ga_s2am_ard_3-2-1_50JLT_2021-01-19_final
2021-02-18 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-02-18_final.stac-item
2021-02-25 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-02-25_final
2021-04-26 11:55:50	ga_s2am_ard_3-2-1_50JMN_2021-04-26_final
2021-04-26 11:57:20	ga_s2am_ard_3-2-1_50HLG_2021-04-26_final.stac-item
2021-06-25 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-06-25_final
2021-07-28 12:04:43	ga_s2am_ard_3-2-1_50JLT_2021-07-28_final
2021-08-04 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-08-04_final
2021-08-24 11:56:13	ga_s2am_ard_3-2-1_50JLM_2021-08-24_final
2021-09-13 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-09-13_final
2021-09-16 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-09-16_final
2021-10-17 11:36:43	ga_s2am_ard_3-2-1_50HPK_2021-10-17_final
2021-10-26 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2021-10-26_final
2021-11-26 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-11-26_final
2021-11-29 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-11-29_final
2022-01-01 11:56:38	ga_s2am_ard_3-2-1_50HMK_2022-01-01_final
2022-01-21 11:56:36	ga_s2am_ard_3-2-1_50HMK_2022-01-21_final
2022-02-07 11:47:16	ga_s2am_ard_3-2-1_50HPG_2022-02-07_final.stac-item
2022-02-10 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-02-10_final
2022-02-17 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-02-17_final
2022-02-27 11:46:16	ga_s2am_ard_3-2-1_50JMM_2022-02-27_final
2022-06-30 11:55:55	ga_s2am_ard_3-2-1_50JLP_2022-06-30_final
2022-08-26 11:46:53	ga_s2am_ard_3-2-1_50HMK_2022-08-26_final
2022-12-10 12:04:57	ga_s2am_ard_3-2-1_49JHM_2022-12-10_final.stac-item
2023-01-03 11:47:13	ga_s2am_ard_3-2-1_50HLH_2023-01-03_final.stac-item
2023-01-13 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-01-13_final.stac-item
2023-02-28 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-02-28_final.stac-item
2023-02-28 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2023-02-28_final.stac-item
2023-03-10 12:04:41	ga_s2am_ard_3-2-1_49JGN_2023-03-10_final.stac-item
2023-03-10 12:04:48	ga_s2am_ard_3-2-1_50JLS_2023-03-10_final.stac-item
2023-05-26 11:57:13	ga_s2am_ard_3-2-1_50HLH_2023-05-26_final.stac-item
2023-07-18 12:05:16	ga_s2am_ard_3-2-1_50JKR_2023-07-18_final.stac-item
2023-11-02 11:55:41	ga_s2am_ard_3-2-1_50JLP_2023-11-02_final.stac-item
2023-11-25 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-11-25_final.stac-item
2023-12-12 11:56:32	ga_s2am_ard_3-2-1_50HMK_2023-12-12_final.stac-item
2024-02-14 11:37:15	ga_s2am_ard_3-2-1_50HQG_2024-02-14_final.stac-item
2024-02-17 11:47:24	ga_s2am_ard_3-2-1_50HLG_2024-02-17_final.stac-item
2024-04-30 11:55:15	ga_s2am_ard_3-2-1_50JLR_2024-04-30_final.stac-item
2024-05-17 11:46:43	ga_s2am_ard_3-2-1_50HMK_2024-05-17_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