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
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JKM_2016-02-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLS_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HNG_2016-05-16_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JNN_2016-07-28_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JNM_2016-07-31_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-09-15_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JHN_2016-11-01_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMH_2017-02-03_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JLL_2017-04-27_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JNN_2017-08-12_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JLM_2017-09-14_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50JPR_2017-11-20_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JPS_2017-12-10_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2018-01-28_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMH_2018-02-11_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2018-03-16_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMH_2018-03-20_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KGR_2018-03-29_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50JQL_2018-04-09_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_50JQL_2018-04-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50JQL_2018-05-19_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JNN_2018-06-01_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HLH_2018-06-28_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HMJ_2018-08-10_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-09-12_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JNR_2018-09-26_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JPR_2018-09-26_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JNR_2018-09-29_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-10-22_final
2019-02-20 11:36:16	ga_s2am_ard_3-2-1_50JQL_2019-02-20_final
2019-02-23 11:46:09	ga_s2am_ard_3-2-1_50JMM_2019-02-23_final
2019-03-02 11:36:29	ga_s2am_ard_3-2-1_50HQK_2019-03-02_final
2019-03-08 11:54:31	ga_s2am_ard_3-2-1_50JNT_2019-03-08_final
2019-04-07 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-04-07_final
2019-05-27 11:55:49	ga_s2am_ard_3-2-1_50JKP_2019-05-27_final
2019-05-30 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-05-30_final
2019-06-09 12:05:14	ga_s2am_ard_3-2-1_50JKR_2019-06-09_final
2019-06-26 11:54:49	ga_s2am_ard_3-2-1_50JLT_2019-06-26_final
2019-07-02 12:13:45	ga_s2am_ard_3-2-1_49KHS_2019-07-02_final.stac-item
2019-08-12 11:46:12	ga_s2am_ard_3-2-1_50JNM_2019-08-12_final
2019-08-18 12:05:40	ga_s2am_ard_3-2-1_50JLP_2019-08-18_final
2019-09-01 11:45:51	ga_s2am_ard_3-2-1_50JPN_2019-09-01_final
2019-09-17 12:04:45	ga_s2am_ard_3-2-1_49JGN_2019-09-17_final
2019-10-10 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-10-10_final
2019-10-21 11:46:17	ga_s2am_ard_3-2-1_50JQL_2019-10-21_final
2019-11-20 11:45:51	ga_s2am_ard_3-2-1_50JPN_2019-11-20_final
2019-12-30 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-12-30_final
2020-01-29 11:46:33	ga_s2am_ard_3-2-1_50HMK_2020-01-29_final
2020-03-09 11:47:01	ga_s2am_ard_3-2-1_50HNH_2020-03-09_final
2020-03-18 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2020-03-18_final
2020-04-04 12:04:53	ga_s2am_ard_3-2-1_50JKS_2020-04-04_final
2020-04-18 11:45:36	ga_s2am_ard_3-2-1_50JPP_2020-04-18_final
2020-05-01 11:57:09	ga_s2am_ard_3-2-1_50HMH_2020-05-01_final
2020-05-04 12:03:48	ga_s2am_ard_3-2-1_49KHS_2020-05-04_final.stac-item
2020-05-11 11:55:58	ga_s2am_ard_3-2-1_50JMN_2020-05-11_final
2020-10-08 11:55:21	ga_s2am_ard_3-2-1_50JPQ_2020-10-08_final
2020-10-11 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-10-11_final
2020-12-27 11:56:04	ga_s2am_ard_3-2-1_50JNM_2020-12-27_final
2021-01-09 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-09_final.stac-item
2021-01-19 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-19_final.stac-item
2021-02-18 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-02-18_final
2021-02-25 11:56:04	ga_s2am_ard_3-2-1_50JNM_2021-02-25_final
2021-03-10 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-03-10_final.stac-item
2021-03-13 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-03-13_final
2021-03-30 12:04:25	ga_s2am_ard_3-2-1_49KHP_2021-03-30_final
2021-05-13 11:45:53	ga_s2am_ard_3-2-1_50JNN_2021-05-13_final
2021-05-20 11:36:34	ga_s2am_ard_3-2-1_50HQK_2021-05-20_final
2021-08-14 11:56:39	ga_s2am_ard_3-2-1_50HMK_2021-08-14_final
2021-09-03 11:54:49	ga_s2am_ard_3-2-1_50JPS_2021-09-03_final
2021-11-12 11:55:55	ga_s2am_ard_3-2-1_50JMN_2021-11-12_final
2021-11-16 11:36:18	ga_s2am_ard_3-2-1_50JQL_2021-11-16_final
2022-01-04 12:04:44	ga_s2am_ard_3-2-1_49JHN_2022-01-04_final
2022-01-28 11:46:41	ga_s2am_ard_3-2-1_50HMK_2022-01-28_final
2022-02-03 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2022-02-03_final
2022-03-09 11:46:19	ga_s2am_ard_3-2-1_50JQL_2022-03-09_final
2022-07-04 11:37:34	ga_s2am_ard_3-2-1_50HPG_2022-07-04_final.stac-item
2022-08-12 12:04:26	ga_s2am_ard_3-2-1_49KHQ_2022-08-12_final
2022-09-15 11:45:34	ga_s2am_ard_3-2-1_50JNQ_2022-09-15_final.stac-item
2022-09-28 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-09-28_final.stac-item
2022-10-11 12:04:40	ga_s2am_ard_3-2-1_50JKT_2022-10-11_final.stac-item
2022-10-21 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2022-10-21_final.stac-item
2022-11-21 11:37:22	ga_s2am_ard_3-2-1_50HPG_2022-11-21_final.stac-item
2022-11-24 11:45:11	ga_s2am_ard_3-2-1_50JNR_2022-11-24_final.stac-item
2023-01-29 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-01-29_final.stac-item
2023-02-12 11:46:39	ga_s2am_ard_3-2-1_50HMK_2023-02-12_final.stac-item
2023-05-09 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2023-05-09_final.stac-item
2023-05-23 11:47:13	ga_s2am_ard_3-2-1_50HMH_2023-05-23_final.stac-item
2023-05-26 11:55:56	ga_s2am_ard_3-2-1_50JMN_2023-05-26_final.stac-item
2023-06-02 11:44:56	ga_s2am_ard_3-2-1_50JPS_2023-06-02_final.stac-item
2023-06-02 11:45:40	ga_s2am_ard_3-2-1_50JPP_2023-06-02_final.stac-item
2023-07-08 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2023-07-08_final.stac-item
2023-09-03 11:54:57	ga_s2am_ard_3-2-1_50JNS_2023-09-03_final.stac-item
2023-10-03 11:55:53	ga_s2am_ard_3-2-1_50JKP_2023-10-03_final.stac-item
2023-10-23 11:56:36	ga_s2am_ard_3-2-1_50HMK_2023-10-23_final.stac-item
2023-11-05 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-11-05_final.stac-item
2023-11-15 12:04:38	ga_s2am_ard_3-2-1_50JLT_2023-11-15_final.stac-item
2023-11-19 11:46:13	ga_s2am_ard_3-2-1_50JQL_2023-11-19_final.stac-item
2023-11-19 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-11-19_final.stac-item
2023-12-19 11:46:01	ga_s2am_ard_3-2-1_50JPM_2023-12-19_final.stac-item
2024-03-18 11:45:07	ga_s2am_ard_3-2-1_50JPR_2024-03-18_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