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
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HPJ_2016-04-19_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_52KBB_2017-06-27_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JLQ_2017-10-07_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JDR_2017-11-08_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KVU_2018-01-06_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50KNA_2018-03-06_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUT_2018-06-08_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KXT_2018-09-03_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HPH_2018-11-02_final
2018-12-18 11:53:02	ga_s2am_ard_3-2-1_50KRC_2018-12-18_final
2019-01-18 11:22:52	ga_s2am_ard_3-2-1_51KYU_2019-01-18_final
2019-04-01 11:33:02	ga_s2am_ard_3-2-1_51KYT_2019-04-01_final
2019-04-08 11:24:00	ga_s2am_ard_3-2-1_52KBU_2019-04-08_final
2019-04-10 12:05:57	ga_s2am_ard_3-2-1_50JKN_2019-04-10_final
2019-04-11 11:33:42	ga_s2am_ard_3-2-1_51KVR_2019-04-11_final.stac-item
2019-04-21 11:33:01	ga_s2am_ard_3-2-1_51KWU_2019-04-21_final
2019-05-24 11:43:00	ga_s2am_ard_3-2-1_51KVU_2019-05-24_final
2019-05-31 11:33:11	ga_s2am_ard_3-2-1_51KXT_2019-05-31_final
2019-07-04 11:13:59	ga_s2am_ard_3-2-1_52KBV_2019-07-04_final
2019-07-30 11:33:10	ga_s2am_ard_3-2-1_51KVU_2019-07-30_final
2019-08-03 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2019-08-03_final
2019-08-15 11:56:11	ga_s2am_ard_3-2-1_50JMM_2019-08-15_final
2019-08-16 11:22:59	ga_s2am_ard_3-2-1_51KYU_2019-08-16_final
2019-09-04 11:52:19	ga_s2am_ard_3-2-1_50KQG_2019-09-04_final.stac-item
2019-09-15 11:23:02	ga_s2am_ard_3-2-1_52KCC_2019-09-15_final
2019-10-04 11:56:01	ga_s2am_ard_3-2-1_50JKN_2019-10-04_final
2019-10-14 11:53:20	ga_s2am_ard_3-2-1_50KQC_2019-10-14_final
2019-12-07 11:32:55	ga_s2am_ard_3-2-1_51KWU_2019-12-07_final
2020-02-06 11:03:11	ga_s2am_ard_3-2-1_52KEB_2020-02-06_final
2020-02-18 11:47:11	ga_s2am_ard_3-2-1_50HPG_2020-02-18_final.stac-item
2020-02-25 11:31:43	ga_s2am_ard_3-2-1_51LZC_2020-02-25_final
2020-02-25 11:31:48	ga_s2am_ard_3-2-1_51LYC_2020-02-25_final
2020-03-09 11:43:14	ga_s2am_ard_3-2-1_51KTT_2020-03-09_final
2020-03-16 11:36:07	ga_s2am_ard_3-2-1_51JVF_2020-03-16_final
2020-04-08 11:42:39	ga_s2am_ard_3-2-1_51KVV_2020-04-08_final
2020-04-27 12:15:13	ga_s2am_ard_3-2-1_49JGL_2020-04-27_final
2020-05-18 11:47:30	ga_s2am_ard_3-2-1_50HMG_2020-05-18_final.stac-item
2020-06-24 11:33:03	ga_s2am_ard_3-2-1_51KWU_2020-06-24_final
2020-07-17 11:42:50	ga_s2am_ard_3-2-1_51KUV_2020-07-17_final
2020-07-21 11:23:15	ga_s2am_ard_3-2-1_51KYT_2020-07-21_final
2020-08-13 11:33:06	ga_s2am_ard_3-2-1_51KYT_2020-08-13_final
2020-08-17 11:13:21	ga_s2am_ard_3-2-1_52KDB_2020-08-17_final
2020-09-09 11:23:10	ga_s2am_ard_3-2-1_51KZT_2020-09-09_final
2020-11-08 11:23:10	ga_s2am_ard_3-2-1_52KBC_2020-11-08_final
2020-11-28 11:23:40	ga_s2am_ard_3-2-1_51KYR_2020-11-28_final
2021-02-06 11:23:15	ga_s2am_ard_3-2-1_52KCB_2021-02-06_final
2021-03-18 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2021-03-18_final
2021-04-09 12:03:54	ga_s2am_ard_3-2-1_50KKA_2021-04-09_final
2021-04-13 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2021-04-13_final
2021-04-19 12:03:39	ga_s2am_ard_3-2-1_50KKB_2021-04-19_final
2021-04-24 11:13:26	ga_s2am_ard_3-2-1_52KEA_2021-04-24_final
2021-05-03 11:43:27	ga_s2am_ard_3-2-1_51KUS_2021-05-03_final
2021-05-11 11:03:19	ga_s2am_ard_3-2-1_52KEB_2021-05-11_final
2021-05-23 11:42:43	ga_s2am_ard_3-2-1_51KVV_2021-05-23_final
2021-06-19 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-06-19_final
2021-07-16 11:23:39	ga_s2am_ard_3-2-1_51KZR_2021-07-16_final
2021-07-21 12:13:57	ga_s2am_ard_3-2-1_50KKA_2021-07-21_final
2021-07-29 11:33:41	ga_s2am_ard_3-2-1_51KXR_2021-07-29_final
2021-08-11 11:43:32	ga_s2am_ard_3-2-1_51KUS_2021-08-11_final
2021-09-01 11:13:55	ga_s2am_ard_3-2-1_52KBV_2021-09-01_final
2021-09-03 11:52:21	ga_s2am_ard_3-2-1_50KQG_2021-09-03_final.stac-item
2021-09-21 11:13:36	ga_s2am_ard_3-2-1_52KDA_2021-09-21_final
2021-10-10 11:42:47	ga_s2am_ard_3-2-1_51KVV_2021-10-10_final
2021-10-17 11:33:39	ga_s2am_ard_3-2-1_51KUS_2021-10-17_final
2021-11-13 11:23:41	ga_s2am_ard_3-2-1_51KYR_2021-11-13_final
2021-11-19 11:43:00	ga_s2am_ard_3-2-1_51KUU_2021-11-19_final
2021-12-06 11:33:21	ga_s2am_ard_3-2-1_51KUT_2021-12-06_final
2021-12-26 11:33:03	ga_s2am_ard_3-2-1_51KYT_2021-12-26_final
2022-02-14 11:32:19	ga_s2am_ard_3-2-1_51KVB_2022-02-14_final
2022-02-21 11:23:27	ga_s2am_ard_3-2-1_51KYS_2022-02-21_final
2022-04-05 11:34:04	ga_s2am_ard_3-2-1_51KUQ_2022-04-05_final
2022-04-19 11:11:09	ga_s2am_ard_3-2-1_52LEL_2022-04-19_final.stac-item
2022-04-23 10:54:26	ga_s2am_ard_3-2-1_52JFT_2022-04-23_final
2022-05-07 12:13:44	ga_s2am_ard_3-2-1_50KKB_2022-05-07_final
2022-05-28 11:44:09	ga_s2am_ard_3-2-1_50KRV_2022-05-28_final
2022-06-08 11:14:17	ga_s2am_ard_3-2-1_52KBU_2022-06-08_final
2022-08-13 11:33:21	ga_s2am_ard_3-2-1_51KXT_2022-08-13_final
2022-09-19 11:23:29	ga_s2am_ard_3-2-1_51KZS_2022-09-19_final.stac-item
2022-11-01 11:33:27	ga_s2am_ard_3-2-1_51KXS_2022-11-01_final.stac-item
2022-11-10 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-11-10_final.stac-item
2022-12-24 11:43:16	ga_s2am_ard_3-2-1_51KTT_2022-12-24_final.stac-item
2023-01-18 10:55:37	ga_s2am_ard_3-2-1_52JGM_2023-01-18_final.stac-item
2023-04-03 11:40:56	ga_s2am_ard_3-2-1_51LWG_2023-04-03_final.stac-item
2023-04-23 11:41:54	ga_s2am_ard_3-2-1_51LWC_2023-04-23_final.stac-item
2023-05-27 11:23:17	ga_s2am_ard_3-2-1_51KXT_2023-05-27_final.stac-item
2023-07-09 11:32:56	ga_s2am_ard_3-2-1_51KYU_2023-07-09_final.stac-item
2023-07-29 11:34:16	ga_s2am_ard_3-2-1_51KWP_2023-07-29_final.stac-item
2023-10-11 11:13:53	ga_s2am_ard_3-2-1_51KZQ_2023-10-11_final.stac-item
2023-10-14 11:23:23	ga_s2am_ard_3-2-1_51KYS_2023-10-14_final.stac-item
2023-11-02 11:55:50	ga_s2am_ard_3-2-1_50JKP_2023-11-02_final.stac-item
2023-11-03 11:23:05	ga_s2am_ard_3-2-1_51KZT_2023-11-03_final.stac-item
2023-12-09 11:40:52	ga_s2am_ard_3-2-1_51LWG_2023-12-09_final.stac-item
2023-12-29 11:43:08	ga_s2am_ard_3-2-1_51KVT_2023-12-29_final.stac-item
2024-01-02 11:23:03	ga_s2am_ard_3-2-1_52KBC_2024-01-02_final.stac-item
2024-01-15 11:34:18	ga_s2am_ard_3-2-1_51JWN_2024-01-15_final.stac-item
2024-02-11 11:23:03	ga_s2am_ard_3-2-1_51KZT_2024-02-11_final.stac-item
2024-02-19 10:45:45	ga_s2am_ard_3-2-1_52JGM_2024-02-19_final.stac-item
2024-04-04 11:33:00	ga_s2am_ard_3-2-1_51KYT_2024-04-04_final.stac-item
2024-05-04 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2024-05-04_final.stac-item
2024-05-05 11:03:01	ga_s2am_ard_3-2-1_52KGC_2024-05-05_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