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
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HNJ_2016-04-29_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HQJ_2016-07-28_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKP_2016-12-21_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52KFF_2017-02-04_final
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_52KGG_2017-02-11_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JGJ_2017-03-31_final.stac-item
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51LWC_2017-04-21_final.stac-item
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWU_2017-05-31_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KWR_2018-03-07_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KVT_2018-03-27_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51KXT_2018-06-25_final
2018-07-01 11:46:56	ga_s2am_ard_3-2-1_50KQG_2018-07-01_final.stac-item
2018-08-08 11:07:12	ga_s2am_ard_3-2-1_52LHN_2018-08-08_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51KXS_2018-08-14_final
2018-12-25 11:43:04	ga_s2am_ard_3-2-1_51KVT_2018-12-25_final
2018-12-26 11:11:23	ga_s2am_ard_3-2-1_52LFJ_2018-12-26_final
2019-01-11 11:32:54	ga_s2am_ard_3-2-1_51KWU_2019-01-11_final
2019-04-11 11:36:59	ga_s2am_ard_3-2-1_51HUC_2019-04-11_final
2019-05-31 11:33:44	ga_s2am_ard_3-2-1_51KWR_2019-05-31_final
2019-06-10 11:33:05	ga_s2am_ard_3-2-1_51KXT_2019-06-10_final
2019-07-11 11:03:40	ga_s2am_ard_3-2-1_52KEA_2019-07-11_final
2019-08-15 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-08-15_final.stac-item
2019-08-16 11:23:10	ga_s2am_ard_3-2-1_51KZT_2019-08-16_final
2019-09-15 11:22:57	ga_s2am_ard_3-2-1_51KZU_2019-09-15_final
2019-09-15 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2019-09-15_final
2019-10-31 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-10-31_final
2019-11-07 11:33:48	ga_s2am_ard_3-2-1_51KVR_2019-11-07_final
2020-01-13 11:22:55	ga_s2am_ard_3-2-1_51KXU_2020-01-13_final
2020-01-17 11:02:12	ga_s2am_ard_3-2-1_52KFF_2020-01-17_final
2020-02-08 11:43:03	ga_s2am_ard_3-2-1_51KVT_2020-02-08_final
2020-03-29 11:46:58	ga_s2am_ard_3-2-1_50HPH_2020-03-29_final
2020-04-25 11:32:59	ga_s2am_ard_3-2-1_51KWU_2020-04-25_final
2020-06-09 10:46:16	ga_s2am_ard_3-2-1_53HLE_2020-06-09_final
2020-07-03 10:26:51	ga_s2am_ard_3-2-1_53HQB_2020-07-03_final
2020-07-07 11:42:32	ga_s2am_ard_3-2-1_51KVA_2020-07-07_final
2020-07-07 11:43:01	ga_s2am_ard_3-2-1_51KVU_2020-07-07_final
2020-07-24 11:33:50	ga_s2am_ard_3-2-1_51KVR_2020-07-24_final
2020-08-02 10:26:46	ga_s2am_ard_3-2-1_53HNC_2020-08-02_final
2020-08-13 11:33:48	ga_s2am_ard_3-2-1_51KWR_2020-08-13_final
2020-08-17 11:13:39	ga_s2am_ard_3-2-1_52KDA_2020-08-17_final
2020-08-30 11:23:11	ga_s2am_ard_3-2-1_52KBC_2020-08-30_final
2020-09-02 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2020-09-02_final
2020-09-15 11:43:04	ga_s2am_ard_3-2-1_51KUU_2020-09-15_final
2020-10-09 11:23:31	ga_s2am_ard_3-2-1_51KYS_2020-10-09_final
2020-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-11_final
2021-01-27 11:22:53	ga_s2am_ard_3-2-1_51KZU_2021-01-27_final
2021-02-02 11:41:18	ga_s2am_ard_3-2-1_51LUF_2021-02-02_final
2021-03-11 11:33:02	ga_s2am_ard_3-2-1_51KYT_2021-03-11_final
2021-04-03 11:42:32	ga_s2am_ard_3-2-1_51KVV_2021-04-03_final
2021-04-04 11:13:51	ga_s2am_ard_3-2-1_52KBV_2021-04-04_final
2021-06-03 11:13:08	ga_s2am_ard_3-2-1_52KCC_2021-06-03_final
2021-06-14 10:46:10	ga_s2am_ard_3-2-1_53HLE_2021-06-14_final
2021-06-20 11:03:35	ga_s2am_ard_3-2-1_52KEA_2021-06-20_final
2021-07-02 11:46:39	ga_s2am_ard_3-2-1_50HNK_2021-07-02_final
2021-07-06 11:23:42	ga_s2am_ard_3-2-1_51KYR_2021-07-06_final
2021-07-09 11:32:22	ga_s2am_ard_3-2-1_51KVB_2021-07-09_final
2021-07-19 11:32:58	ga_s2am_ard_3-2-1_51KXU_2021-07-19_final
2021-07-21 10:36:25	ga_s2am_ard_3-2-1_53HND_2021-07-21_final
2021-07-26 11:22:59	ga_s2am_ard_3-2-1_51KYU_2021-07-26_final
2021-08-08 11:33:41	ga_s2am_ard_3-2-1_51KXR_2021-08-08_final
2021-08-15 11:23:09	ga_s2am_ard_3-2-1_51KZT_2021-08-15_final
2021-08-18 11:33:41	ga_s2am_ard_3-2-1_51KXR_2021-08-18_final
2021-08-21 11:42:38	ga_s2am_ard_3-2-1_51KVA_2021-08-21_final
2021-10-11 11:14:14	ga_s2am_ard_3-2-1_52KBU_2021-10-11_final
2021-10-27 11:33:43	ga_s2am_ard_3-2-1_51KXR_2021-10-27_final
2021-11-06 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2021-11-06_final
2022-01-29 11:14:41	ga_s2am_ard_3-2-1_51JYM_2022-01-29_final
2022-03-19 11:42:46	ga_s2am_ard_3-2-1_51KVV_2022-03-19_final
2022-03-25 12:03:47	ga_s2am_ard_3-2-1_50KKB_2022-03-25_final
2022-04-25 11:33:47	ga_s2am_ard_3-2-1_51KWR_2022-04-25_final
2022-05-05 11:33:03	ga_s2am_ard_3-2-1_51KWU_2022-05-05_final
2022-06-18 11:13:41	ga_s2am_ard_3-2-1_52KEA_2022-06-18_final
2022-08-26 11:47:04	ga_s2am_ard_3-2-1_50HNJ_2022-08-26_final
2022-09-01 12:03:56	ga_s2am_ard_3-2-1_50KKB_2022-09-01_final.stac-item
2022-09-08 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-09-08_final.stac-item
2022-09-11 10:27:12	ga_s2am_ard_3-2-1_53HQA_2022-09-11_final.stac-item
2022-09-12 11:35:18	ga_s2am_ard_3-2-1_51JWK_2022-09-12_final.stac-item
2022-09-22 11:32:26	ga_s2am_ard_3-2-1_51KVB_2022-09-22_final.stac-item
2022-09-22 11:34:03	ga_s2am_ard_3-2-1_51KWQ_2022-09-22_final.stac-item
2022-10-12 11:34:23	ga_s2am_ard_3-2-1_51KUP_2022-10-12_final.stac-item
2022-10-23 11:02:40	ga_s2am_ard_3-2-1_52KFE_2022-10-23_final.stac-item
2022-11-11 11:33:19	ga_s2am_ard_3-2-1_51KVT_2022-11-11_final.stac-item
2022-11-17 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2022-11-17_final.stac-item
2023-01-30 11:31:40	ga_s2am_ard_3-2-1_51LXD_2023-01-30_final.stac-item
2023-03-21 11:32:53	ga_s2am_ard_3-2-1_51KXU_2023-03-21_final.stac-item
2023-04-07 11:23:28	ga_s2am_ard_3-2-1_51KXS_2023-04-07_final.stac-item
2023-06-25 11:57:23	ga_s2am_ard_3-2-1_50HMG_2023-06-25_final.stac-item
2023-08-18 11:33:29	ga_s2am_ard_3-2-1_51KXS_2023-08-18_final.stac-item
2023-09-04 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2023-09-04_final.stac-item
2023-09-20 11:42:15	ga_s2am_ard_3-2-1_51KVB_2023-09-20_final.stac-item
2023-10-24 11:23:07	ga_s2am_ard_3-2-1_51KZT_2023-10-24_final.stac-item
2023-10-27 11:36:57	ga_s2am_ard_3-2-1_51HUC_2023-10-27_final.stac-item
2023-11-09 11:43:03	ga_s2am_ard_3-2-1_51KTU_2023-11-09_final.stac-item
2023-11-17 11:00:43	ga_s2am_ard_3-2-1_52LHM_2023-11-17_final.stac-item
2024-02-08 11:12:38	ga_s2am_ard_3-2-1_52KFD_2024-02-08_final.stac-item
2024-02-11 11:22:57	ga_s2am_ard_3-2-1_51KXU_2024-02-11_final.stac-item
2024-04-20 11:52:23	ga_s2am_ard_3-2-1_50KQG_2024-04-20_final.stac-item
2024-05-01 11:23:52	ga_s2am_ard_3-2-1_51KZQ_2024-05-01_final.stac-item
2024-05-18 11:13:50	ga_s2am_ard_3-2-1_52KDV_2024-05-18_final.stac-item
2024-05-26 10:36:10	ga_s2am_ard_3-2-1_53HME_2024-05-26_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