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
2015-08-30 11:36:03	ga_s2am_ard_3-2-1_51JTG_2015-08-30_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KZQ_2016-05-23_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KNC_2016-06-24_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNP_2016-07-21_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51KXS_2016-08-24_final.stac-item
2016-09-23 11:35:58	ga_s2am_ard_3-2-1_50JQM_2016-09-23_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KTT_2017-01-14_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KKA_2017-02-09_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2017-02-22_final
2017-04-01 11:28:22	ga_s2am_ard_3-2-1_51KWU_2017-04-01_final.stac-item
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_51HYD_2017-09-02_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JNN_2017-12-10_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JXK_2017-12-24_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JWM_2018-01-13_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_51KWP_2018-02-15_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JXG_2018-03-01_final
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51JYJ_2018-04-03_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JWL_2018-05-26_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_51JTG_2018-06-18_final
2018-07-18 11:34:46	ga_s2am_ard_3-2-1_51KUV_2018-07-18_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGJ_2018-07-24_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50JQL_2018-08-04_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_50KMU_2018-08-13_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-08-23_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HQH_2018-10-23_final
2018-12-09 11:24:28	ga_s2am_ard_3-2-1_51JYM_2018-12-09_final
2019-01-01 11:32:08	ga_s2am_ard_3-2-1_51KWB_2019-01-01_final
2019-01-28 11:22:20	ga_s2am_ard_3-2-1_51KZA_2019-01-28_final
2019-02-17 11:26:36	ga_s2am_ard_3-2-1_51HWD_2019-02-17_final
2019-04-04 11:42:14	ga_s2am_ard_3-2-1_51KVB_2019-04-04_final
2019-06-07 11:26:20	ga_s2am_ard_3-2-1_51JUF_2019-06-07_final
2019-07-13 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2019-07-13_final
2020-01-06 11:32:45	ga_s2am_ard_3-2-1_51KYU_2020-01-06_final
2020-01-09 11:44:39	ga_s2am_ard_3-2-1_50JRS_2020-01-09_final
2020-03-23 11:25:17	ga_s2am_ard_3-2-1_51JYJ_2020-03-23_final
2020-04-25 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2020-04-25_final
2020-05-06 11:06:41	ga_s2am_ard_3-2-1_51HYD_2020-05-06_final
2020-07-14 11:34:15	ga_s2am_ard_3-2-1_51KWP_2020-07-14_final
2020-08-06 11:42:01	ga_s2am_ard_3-2-1_51LWC_2020-08-06_final
2020-10-31 12:06:00	ga_s2am_ard_3-2-1_50JKN_2020-10-31_final
2020-11-15 11:14:32	ga_s2am_ard_3-2-1_51JYN_2020-11-15_final
2020-12-03 12:15:19	ga_s2am_ard_3-2-1_49JGK_2020-12-03_final
2020-12-11 11:36:16	ga_s2am_ard_3-2-1_50JQL_2020-12-11_final
2021-01-30 11:31:21	ga_s2am_ard_3-2-1_51LZE_2021-01-30_final
2021-02-02 11:44:01	ga_s2am_ard_3-2-1_51KTQ_2021-02-02_final
2021-02-02 11:44:16	ga_s2am_ard_3-2-1_50KRU_2021-02-02_final
2021-03-08 11:26:29	ga_s2am_ard_3-2-1_51HVE_2021-03-08_final
2021-03-27 11:54:31	ga_s2am_ard_3-2-1_50JPT_2021-03-27_final
2021-05-23 11:46:05	ga_s2am_ard_3-2-1_50JPM_2021-05-23_final
2021-05-23 11:46:09	ga_s2am_ard_3-2-1_50JNM_2021-05-23_final
2021-06-23 11:16:27	ga_s2am_ard_3-2-1_51HXE_2021-06-23_final
2021-07-21 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-07-21_final
2021-07-22 11:46:04	ga_s2am_ard_3-2-1_50JQM_2021-07-22_final
2021-10-14 11:26:49	ga_s2am_ard_3-2-1_51HVD_2021-10-14_final
2021-11-23 11:26:32	ga_s2am_ard_3-2-1_51HUE_2021-11-23_final
2022-02-01 11:24:04	ga_s2am_ard_3-2-1_51KZP_2022-02-01_final
2022-02-01 11:25:42	ga_s2am_ard_3-2-1_51JWH_2022-02-01_final
2022-02-14 11:35:12	ga_s2am_ard_3-2-1_51JVK_2022-02-14_final
2022-02-23 12:06:12	ga_s2am_ard_3-2-1_50JKM_2022-02-23_final
2022-03-19 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-03-19_final
2022-03-26 11:35:44	ga_s2am_ard_3-2-1_51JVH_2022-03-26_final
2022-03-29 11:44:15	ga_s2am_ard_3-2-1_51KUP_2022-03-29_final
2022-04-02 11:24:17	ga_s2am_ard_3-2-1_51KWP_2022-04-02_final
2022-04-05 11:35:09	ga_s2am_ard_3-2-1_51JWK_2022-04-05_final
2022-05-28 11:45:14	ga_s2am_ard_3-2-1_50JPR_2022-05-28_final
2022-06-01 11:25:03	ga_s2am_ard_3-2-1_51JXL_2022-06-01_final
2022-06-06 12:15:04	ga_s2am_ard_3-2-1_49JGM_2022-06-06_final
2022-07-01 11:26:59	ga_s2am_ard_3-2-1_51HVD_2022-07-01_final
2022-07-14 11:35:57	ga_s2am_ard_3-2-1_51JUH_2022-07-14_final
2022-07-21 11:24:52	ga_s2am_ard_3-2-1_51JXM_2022-07-21_final
2022-09-08 11:55:06	ga_s2am_ard_3-2-1_50JMS_2022-09-08_final.stac-item
2022-09-22 11:36:50	ga_s2am_ard_3-2-1_51HUD_2022-09-22_final.stac-item
2022-09-22 11:36:59	ga_s2am_ard_3-2-1_50HPJ_2022-09-22_final.stac-item
2022-10-03 11:06:05	ga_s2am_ard_3-2-1_52JBM_2022-10-03_final.stac-item
2022-10-12 11:34:48	ga_s2am_ard_3-2-1_51JVM_2022-10-12_final.stac-item
2022-10-26 11:15:45	ga_s2am_ard_3-2-1_51JXH_2022-10-26_final.stac-item
2022-10-29 11:26:47	ga_s2am_ard_3-2-1_51HVD_2022-10-29_final.stac-item
2022-12-08 11:26:59	ga_s2am_ard_3-2-1_51HVC_2022-12-08_final.stac-item
2022-12-28 11:22:07	ga_s2am_ard_3-2-1_51KZB_2022-12-28_final.stac-item
2023-01-07 11:22:08	ga_s2am_ard_3-2-1_51KZB_2023-01-07_final.stac-item
2023-01-14 11:16:38	ga_s2am_ard_3-2-1_51HXD_2023-01-14_final.stac-item
2023-01-27 11:26:30	ga_s2am_ard_3-2-1_51HUE_2023-01-27_final.stac-item
2023-02-02 11:41:57	ga_s2am_ard_3-2-1_51LVC_2023-02-02_final.stac-item
2023-02-15 11:57:09	ga_s2am_ard_3-2-1_50HKH_2023-02-15_nrt.stac-item
2023-02-19 11:31:03	ga_s2am_ard_3-2-1_51LZF_2023-02-19_final.stac-item
2023-03-04 11:44:27	ga_s2am_ard_3-2-1_50JRT_2023-03-04_final.stac-item
2023-04-03 11:44:15	ga_s2am_ard_3-2-1_50KRU_2023-04-03_final.stac-item
2023-04-13 11:43:15	ga_s2am_ard_3-2-1_51KUT_2023-04-13_final.stac-item
2023-07-29 11:37:03	ga_s2am_ard_3-2-1_51HUC_2023-07-29_final.stac-item
2023-09-03 11:57:03	ga_s2am_ard_3-2-1_50HMJ_2023-09-03_final.stac-item
2023-09-24 11:24:21	ga_s2am_ard_3-2-1_52JBT_2023-09-24_final.stac-item
2023-10-07 11:34:06	ga_s2am_ard_3-2-1_51KXP_2023-10-07_final.stac-item
2023-11-13 11:21:10	ga_s2am_ard_3-2-1_51LZF_2023-11-13_nrt.stac-item
2023-11-29 11:46:33	ga_s2am_ard_3-2-1_50HMK_2023-11-29_final.stac-item
2024-01-12 11:26:38	ga_s2am_ard_3-2-1_51HVD_2024-01-12_final.stac-item
2024-01-25 11:35:35	ga_s2am_ard_3-2-1_51JVH_2024-01-25_final.stac-item
2024-03-08 11:44:49	ga_s2am_ard_3-2-1_50JRS_2024-03-08_final.stac-item
2024-03-29 11:15:04	ga_s2am_ard_3-2-1_52JCQ_2024-03-29_final.stac-item
2024-04-05 11:06:30	ga_s2am_ard_3-2-1_52HBJ_2024-04-05_final.stac-item
2024-04-17 11:44:34	ga_s2am_ard_3-2-1_50JRT_2024-04-17_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