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
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51HWD_2016-01-11_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGL_2016-01-16_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNK_2016-04-19_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KWB_2016-06-18_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JMM_2016-07-31_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50HLK_2016-09-29_final.stac-item
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_51HXD_2016-12-16_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KWA_2017-03-25_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HPK_2017-05-24_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50KKU_2017-06-19_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JGL_2017-06-29_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JLQ_2017-08-25_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51JTN_2017-12-10_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KUR_2017-12-17_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KQA_2018-02-18_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGM_2018-03-16_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51KXU_2018-05-13_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50KPB_2018-07-01_final
2018-08-01 11:23:55	ga_s2am_ard_3-2-1_51HUD_2018-08-01_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50JPL_2018-08-24_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50KKU_2018-09-12_final
2018-11-29 11:24:57	ga_s2am_ard_3-2-1_51JYK_2018-11-29_final
2018-12-12 11:32:11	ga_s2am_ard_3-2-1_51KVB_2018-12-12_final
2019-03-02 11:32:02	ga_s2am_ard_3-2-1_51KYB_2019-03-02_final
2019-05-08 11:24:19	ga_s2am_ard_3-2-1_51KWP_2019-05-08_final
2019-07-27 11:26:02	ga_s2am_ard_3-2-1_51JWG_2019-07-27_final
2019-08-22 11:43:21	ga_s2am_ard_3-2-1_50KRC_2019-08-22_final
2019-08-29 11:34:06	ga_s2am_ard_3-2-1_51KXP_2019-08-29_final
2019-11-04 11:24:18	ga_s2am_ard_3-2-1_51KWP_2019-11-04_final
2019-11-20 11:42:10	ga_s2am_ard_3-2-1_51KWB_2019-11-20_final
2019-11-27 11:32:14	ga_s2am_ard_3-2-1_51KWB_2019-11-27_final
2019-12-21 11:14:32	ga_s2am_ard_3-2-1_51JZM_2019-12-21_final
2020-01-15 12:05:23	ga_s2am_ard_3-2-1_49JGK_2020-01-15_final
2020-01-26 11:36:31	ga_s2am_ard_3-2-1_50HPK_2020-01-26_final
2020-02-14 12:04:54	ga_s2am_ard_3-2-1_49JGM_2020-02-14_final
2020-02-25 11:32:09	ga_s2am_ard_3-2-1_51KWB_2020-02-25_final
2020-03-25 12:03:40	ga_s2am_ard_3-2-1_50KKB_2020-03-25_final
2020-05-15 11:32:49	ga_s2am_ard_3-2-1_51KWV_2020-05-15_final
2020-08-13 11:36:02	ga_s2am_ard_3-2-1_51JVG_2020-08-13_final
2020-09-01 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-09-01_final
2020-09-19 11:24:20	ga_s2am_ard_3-2-1_51KWP_2020-09-19_final
2020-09-25 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-09-25_final
2020-10-01 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-01_final
2020-10-15 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-10-15_final
2020-10-22 11:32:34	ga_s2am_ard_3-2-1_51KWA_2020-10-22_final
2020-12-20 12:03:18	ga_s2am_ard_3-2-1_50KNC_2020-12-20_final
2020-12-24 11:43:35	ga_s2am_ard_3-2-1_51KVR_2020-12-24_final
2020-12-28 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2020-12-28_final
2020-12-30 12:05:51	ga_s2am_ard_3-2-1_50JLN_2020-12-30_final
2021-01-20 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-01-20_final
2021-01-20 11:34:37	ga_s2am_ard_3-2-1_50JRT_2021-01-20_final
2021-03-14 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2021-03-14_final
2021-03-21 11:37:20	ga_s2am_ard_3-2-1_50HPG_2021-03-21_final.stac-item
2021-05-03 11:42:44	ga_s2am_ard_3-2-1_51KUV_2021-05-03_final
2021-07-01 12:13:56	ga_s2am_ard_3-2-1_50KKA_2021-07-01_final
2021-07-01 12:14:43	ga_s2am_ard_3-2-1_49JGN_2021-07-01_final
2021-07-22 11:45:10	ga_s2am_ard_3-2-1_50JPR_2021-07-22_final
2021-09-03 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-09-03_final
2021-11-06 11:32:50	ga_s2am_ard_3-2-1_51KVV_2021-11-06_final
2021-11-26 11:34:43	ga_s2am_ard_3-2-1_51JVM_2021-11-26_final
2021-12-02 11:53:17	ga_s2am_ard_3-2-1_50KQC_2021-12-02_final
2021-12-05 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-12-05_final
2021-12-06 11:37:00	ga_s2am_ard_3-2-1_51HTC_2021-12-06_final
2021-12-28 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-12-28_final
2022-03-03 11:24:22	ga_s2am_ard_3-2-1_51JZN_2022-03-03_final
2022-04-05 11:32:30	ga_s2am_ard_3-2-1_51KWA_2022-04-05_final
2022-04-08 11:42:14	ga_s2am_ard_3-2-1_51KVB_2022-04-08_final
2022-05-08 11:42:46	ga_s2am_ard_3-2-1_51KVV_2022-05-08_final
2022-06-23 12:04:58	ga_s2am_ard_3-2-1_49JGN_2022-06-23_final
2022-07-11 11:22:40	ga_s2am_ard_3-2-1_51KYA_2022-07-11_final
2022-08-06 11:43:29	ga_s2am_ard_3-2-1_51KTT_2022-08-06_final
2022-08-16 11:43:34	ga_s2am_ard_3-2-1_50KQC_2022-08-16_final
2022-10-12 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2022-10-12_final.stac-item
2022-11-04 11:47:10	ga_s2am_ard_3-2-1_50HNH_2022-11-04_final.stac-item
2022-11-20 12:04:32	ga_s2am_ard_3-2-1_49KGP_2022-11-20_final.stac-item
2022-11-24 11:45:03	ga_s2am_ard_3-2-1_50JQR_2022-11-24_final.stac-item
2022-12-11 11:32:15	ga_s2am_ard_3-2-1_51KWB_2022-12-11_final.stac-item
2023-01-20 11:34:05	ga_s2am_ard_3-2-1_51KWP_2023-01-20_final.stac-item
2023-01-20 11:37:12	ga_s2am_ard_3-2-1_50HQG_2023-01-20_final.stac-item
2023-03-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-03-20_final.stac-item
2023-03-27 11:55:51	ga_s2am_ard_3-2-1_50JMN_2023-03-27_final.stac-item
2023-04-07 11:26:58	ga_s2am_ard_3-2-1_51HVC_2023-04-07_final.stac-item
2023-04-23 11:43:17	ga_s2am_ard_3-2-1_51KTT_2023-04-23_final.stac-item
2023-06-02 11:46:34	ga_s2am_ard_3-2-1_50HQK_2023-06-02_final.stac-item
2023-06-05 11:55:53	ga_s2am_ard_3-2-1_50JNN_2023-06-05_final.stac-item
2023-06-26 11:27:05	ga_s2am_ard_3-2-1_51HUC_2023-06-26_final.stac-item
2023-08-05 11:24:34	ga_s2am_ard_3-2-1_51JWN_2023-08-05_final.stac-item
2023-08-15 11:24:20	ga_s2am_ard_3-2-1_51KWP_2023-08-15_final.stac-item
2023-09-11 11:15:34	ga_s2am_ard_3-2-1_51JXJ_2023-09-11_final.stac-item
2023-09-16 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-09-16_final.stac-item
2023-09-27 11:33:50	ga_s2am_ard_3-2-1_51KUR_2023-09-27_final.stac-item
2023-10-01 11:16:43	ga_s2am_ard_3-2-1_51HXD_2023-10-01_final.stac-item
2023-10-27 11:33:34	ga_s2am_ard_3-2-1_51KUS_2023-10-27_final.stac-item
2023-11-09 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-11-09_final.stac-item
2023-11-19 11:43:41	ga_s2am_ard_3-2-1_51KUR_2023-11-19_final.stac-item
2023-12-16 11:32:40	ga_s2am_ard_3-2-1_51KWV_2023-12-16_final.stac-item
2023-12-25 12:03:41	ga_s2am_ard_3-2-1_50KKB_2023-12-25_final.stac-item
2024-02-13 12:04:58	ga_s2am_ard_3-2-1_49JGM_2024-02-13_final.stac-item
2024-02-14 11:33:06	ga_s2am_ard_3-2-1_51KXT_2024-02-14_final.stac-item
2024-03-18 11:46:43	ga_s2am_ard_3-2-1_50HQJ_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