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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51HWC_2015-10-23_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51KUT_2015-12-21_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HQJ_2016-01-20_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-02-18_final.stac-item
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_49KHR_2016-03-06_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_50KKA_2016-04-18_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51KUB_2016-08-17_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JUH_2016-08-24_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50HNK_2016-09-09_final.stac-item
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JPT_2017-06-26_final
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HPH_2017-07-23_final
2017-09-20 12:13:39	ga_s2am_ard_3-2-1_49KHR_2017-09-20_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JNR_2017-12-10_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KUV_2017-12-10_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JMS_2018-02-01_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51KUU_2018-02-08_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HLH_2018-03-23_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KHR_2018-05-08_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KUT_2018-05-19_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JQL_2018-06-08_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-07_final
2018-07-12 11:25:39	ga_s2am_ard_3-2-1_51HUE_2018-07-12_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JLP_2018-07-24_final
2018-11-22 11:35:49	ga_s2am_ard_3-2-1_51JVG_2018-11-22_final
2019-01-24 11:43:26	ga_s2am_ard_3-2-1_51KUS_2019-01-24_final
2019-04-14 11:42:19	ga_s2am_ard_3-2-1_51KUB_2019-04-14_final.stac-item
2019-04-18 11:27:04	ga_s2am_ard_3-2-1_51HUC_2019-04-18_final
2019-04-20 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-04-20_final
2019-04-20 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-04-20_final
2019-05-13 12:13:43	ga_s2am_ard_3-2-1_50KKB_2019-05-13_final
2019-05-24 11:43:47	ga_s2am_ard_3-2-1_51KUR_2019-05-24_final
2019-06-20 11:33:26	ga_s2am_ard_3-2-1_51KUT_2019-06-20_final
2019-07-20 11:33:39	ga_s2am_ard_3-2-1_51KUS_2019-07-20_final
2019-08-02 11:46:24	ga_s2am_ard_3-2-1_50JPL_2019-08-02_final
2019-09-04 11:55:59	ga_s2am_ard_3-2-1_50JKN_2019-09-04_final
2019-10-30 12:15:05	ga_s2am_ard_3-2-1_49JGM_2019-10-30_final
2019-10-31 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-10-31_final
2019-11-30 11:42:59	ga_s2am_ard_3-2-1_51KUU_2019-11-30_final
2019-12-20 11:42:54	ga_s2am_ard_3-2-1_51KUU_2019-12-20_final
2020-01-09 11:46:28	ga_s2am_ard_3-2-1_50HPK_2020-01-09_final
2020-02-08 11:43:14	ga_s2am_ard_3-2-1_50KQC_2020-02-08_final
2020-02-11 11:56:15	ga_s2am_ard_3-2-1_50JML_2020-02-11_final
2020-04-04 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-04-04_final
2020-04-08 11:47:23	ga_s2am_ard_3-2-1_50HNG_2020-04-08_final.stac-item
2020-05-04 12:05:41	ga_s2am_ard_3-2-1_50JLP_2020-05-04_final
2020-05-14 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-05-14_final
2020-06-04 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-06-04_final
2020-06-07 11:42:52	ga_s2am_ard_3-2-1_51KUV_2020-06-07_final
2020-06-26 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-06-26_final
2020-07-01 11:27:03	ga_s2am_ard_3-2-1_51HVC_2020-07-01_final
2020-07-23 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-07-23_final
2020-07-24 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-07-24_final
2020-08-06 11:46:29	ga_s2am_ard_3-2-1_50JNL_2020-08-06_final
2020-08-12 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-08-12_final
2020-09-12 11:34:29	ga_s2am_ard_3-2-1_51JWN_2020-09-12_final
2020-09-15 11:43:33	ga_s2am_ard_3-2-1_51KUS_2020-09-15_final
2020-10-28 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-10-28_final
2020-11-24 11:42:47	ga_s2am_ard_3-2-1_51KUV_2020-11-24_final
2020-12-11 11:35:12	ga_s2am_ard_3-2-1_51JUK_2020-12-11_final
2020-12-14 11:43:12	ga_s2am_ard_3-2-1_51KUT_2020-12-14_final
2020-12-21 11:36:56	ga_s2am_ard_3-2-1_51HUC_2020-12-21_final
2021-02-08 12:05:51	ga_s2am_ard_3-2-1_50JLN_2021-02-08_final
2021-04-23 11:46:58	ga_s2am_ard_3-2-1_50HPH_2021-04-23_final
2021-07-05 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-05_final
2021-07-19 11:37:01	ga_s2am_ard_3-2-1_51HUC_2021-07-19_final
2021-09-17 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-09-17_final
2021-11-06 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-11-06_final
2021-11-26 11:36:57	ga_s2am_ard_3-2-1_51HUC_2021-11-26_final
2022-02-27 11:43:03	ga_s2am_ard_3-2-1_51KUU_2022-02-27_final
2022-03-15 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2022-03-15_final
2022-04-01 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-04-01_final
2022-04-04 12:03:46	ga_s2am_ard_3-2-1_50KKB_2022-04-04_final
2022-05-02 11:24:31	ga_s2am_ard_3-2-1_51JXN_2022-05-02_final
2022-05-18 11:47:20	ga_s2am_ard_3-2-1_50HLH_2022-05-18_final
2022-06-01 11:25:53	ga_s2am_ard_3-2-1_51JVH_2022-06-01_final
2022-07-01 11:25:47	ga_s2am_ard_3-2-1_51JYH_2022-07-01_final
2022-07-08 11:14:37	ga_s2am_ard_3-2-1_51JZN_2022-07-08_final
2022-07-20 11:55:03	ga_s2am_ard_3-2-1_50JNS_2022-07-20_final
2022-09-15 11:43:39	ga_s2am_ard_3-2-1_51KUS_2022-09-15_final.stac-item
2022-09-15 11:46:35	ga_s2am_ard_3-2-1_50JML_2022-09-15_final.stac-item
2022-11-01 11:36:36	ga_s2am_ard_3-2-1_51HTE_2022-11-01_final.stac-item
2022-12-14 11:43:29	ga_s2am_ard_3-2-1_51KUS_2022-12-14_final.stac-item
2023-01-06 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-01-06_final.stac-item
2023-01-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-01-19_final.stac-item
2023-01-20 11:37:16	ga_s2am_ard_3-2-1_50HPG_2023-01-20_final.stac-item
2023-04-09 12:05:52	ga_s2am_ard_3-2-1_50JLN_2023-04-09_final.stac-item
2023-04-14 11:15:32	ga_s2am_ard_3-2-1_51JYH_2023-04-14_final.stac-item
2023-04-19 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2023-04-19_final.stac-item
2023-05-10 11:35:47	ga_s2am_ard_3-2-1_51JTH_2023-05-10_final.stac-item
2023-06-12 11:47:21	ga_s2am_ard_3-2-1_50HPG_2023-06-12_final.stac-item
2023-07-08 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-07-08_final.stac-item
2023-08-01 11:43:09	ga_s2am_ard_3-2-1_50KRD_2023-08-01_final.stac-item
2023-11-05 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-11-05_final.stac-item
2023-11-16 11:35:49	ga_s2am_ard_3-2-1_50JQN_2023-11-16_final.stac-item
2023-12-09 11:43:24	ga_s2am_ard_3-2-1_51KUS_2023-12-09_final.stac-item
2024-01-05 11:35:15	ga_s2am_ard_3-2-1_51JWJ_2024-01-05_final.stac-item
2024-01-14 12:05:49	ga_s2am_ard_3-2-1_50JKN_2024-01-14_final.stac-item
2024-02-07 11:42:12	ga_s2am_ard_3-2-1_51KUB_2024-02-07_final.stac-item
2024-02-17 11:43:27	ga_s2am_ard_3-2-1_51KUS_2024-02-17_final.stac-item
2024-05-04 11:33:25	ga_s2am_ard_3-2-1_51KUT_2024-05-04_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