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
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KWB_2016-02-19_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQK_2016-04-06_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KVT_2016-05-16_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51HUC_2016-05-23_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51JYL_2016-05-30_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51HUD_2016-10-03_final.stac-item
2016-10-15 12:13:39	ga_s2am_ard_3-2-1_50KKA_2016-10-15_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JXN_2017-01-08_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KKA_2017-01-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGJ_2017-05-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50KKB_2017-05-30_final
2017-07-20 11:36:04	ga_s2am_ard_3-2-1_51JTF_2017-07-20_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KVR_2018-01-06_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KUT_2018-03-10_final
2018-03-23 11:48:13	ga_s2am_ard_3-2-1_50KQG_2018-03-23_final.stac-item
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_51KUV_2018-03-30_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KVQ_2018-04-26_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51HUD_2018-05-06_final
2018-07-12 11:25:39	ga_s2am_ard_3-2-1_51JVF_2018-07-12_final
2018-07-15 11:26:22	ga_s2am_ard_3-2-1_51KWU_2018-07-15_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JML_2018-08-30_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KUB_2018-10-06_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JMM_2018-10-19_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUU_2018-11-05_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HQK_2018-11-05_final
2018-11-09 11:24:46	ga_s2am_ard_3-2-1_51JYL_2018-11-09_final
2018-11-16 11:16:53	ga_s2am_ard_3-2-1_51HWC_2018-11-16_final.stac-item
2018-11-25 11:47:09	ga_s2am_ard_3-2-1_50HPG_2018-11-25_final.stac-item
2018-12-06 11:16:22	ga_s2am_ard_3-2-1_51HWE_2018-12-06_final
2018-12-15 11:43:03	ga_s2am_ard_3-2-1_51KVT_2018-12-15_final
2018-12-25 11:42:56	ga_s2am_ard_3-2-1_50KRD_2018-12-25_final
2019-03-15 11:42:38	ga_s2am_ard_3-2-1_51KVV_2019-03-15_final
2019-05-11 11:33:49	ga_s2am_ard_3-2-1_51KVR_2019-05-11_final
2019-07-09 12:04:10	ga_s2am_ard_3-2-1_50KKA_2019-07-09_final
2019-08-12 11:42:58	ga_s2am_ard_3-2-1_51KVU_2019-08-12_final
2019-08-22 11:42:59	ga_s2am_ard_3-2-1_51KVU_2019-08-22_final
2019-09-01 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2019-09-01_final
2019-10-01 11:43:02	ga_s2am_ard_3-2-1_51KUU_2019-10-01_final
2019-10-11 11:42:57	ga_s2am_ard_3-2-1_51KVU_2019-10-11_final
2019-10-20 12:14:02	ga_s2am_ard_3-2-1_49KHR_2019-10-20_final
2019-10-30 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-10-30_final
2019-11-20 11:46:20	ga_s2am_ard_3-2-1_50JPL_2019-11-20_final
2020-01-15 12:03:53	ga_s2am_ard_3-2-1_49KHR_2020-01-15_final
2020-01-29 11:42:06	ga_s2am_ard_3-2-1_51KVB_2020-01-29_final
2020-02-19 11:16:38	ga_s2am_ard_3-2-1_51HWD_2020-02-19_final
2020-03-09 11:43:32	ga_s2am_ard_3-2-1_51KVR_2020-03-09_final
2020-03-16 11:33:52	ga_s2am_ard_3-2-1_51KWQ_2020-03-16_final
2020-03-26 11:32:40	ga_s2am_ard_3-2-1_51KWV_2020-03-26_final
2020-05-04 12:03:48	ga_s2am_ard_3-2-1_50KKB_2020-05-04_final
2020-05-08 11:46:30	ga_s2am_ard_3-2-1_50JML_2020-05-08_final
2020-05-18 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-05-18_final
2020-05-25 11:32:52	ga_s2am_ard_3-2-1_51KVV_2020-05-25_final
2020-07-21 11:27:07	ga_s2am_ard_3-2-1_51HUC_2020-07-21_final
2020-08-19 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-08-19_final
2020-08-23 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2020-08-23_final
2020-11-05 11:17:03	ga_s2am_ard_3-2-1_51HWC_2020-11-05_final.stac-item
2020-11-24 11:43:13	ga_s2am_ard_3-2-1_51KVT_2020-11-24_final
2021-01-14 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-01-14_final
2021-02-06 11:24:18	ga_s2am_ard_3-2-1_51JZN_2021-02-06_final
2021-04-03 11:43:01	ga_s2am_ard_3-2-1_50KRD_2021-04-03_final
2021-05-24 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-05-24_final
2021-07-12 11:42:49	ga_s2am_ard_3-2-1_51KUV_2021-07-12_final
2021-07-25 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-25_final
2021-07-28 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-07-28_final
2021-07-31 12:13:58	ga_s2am_ard_3-2-1_49KHR_2021-07-31_final
2021-08-04 11:53:34	ga_s2am_ard_3-2-1_50KMC_2021-08-04_final
2021-08-11 11:43:07	ga_s2am_ard_3-2-1_50KRD_2021-08-11_final
2021-08-31 11:42:43	ga_s2am_ard_3-2-1_51KVV_2021-08-31_final
2021-10-10 11:47:12	ga_s2am_ard_3-2-1_50HNH_2021-10-10_final
2021-10-31 11:14:42	ga_s2am_ard_3-2-1_51JZM_2021-10-31_final
2021-11-26 11:33:13	ga_s2am_ard_3-2-1_51KWT_2021-11-26_final
2021-12-29 11:43:17	ga_s2am_ard_3-2-1_51KTT_2021-12-29_final
2022-01-19 11:14:23	ga_s2am_ard_3-2-1_51JZN_2022-01-19_final
2022-03-23 11:25:19	ga_s2am_ard_3-2-1_51JVK_2022-03-23_final
2022-05-02 11:24:34	ga_s2am_ard_3-2-1_51JWN_2022-05-02_final
2022-05-21 11:52:26	ga_s2am_ard_3-2-1_50KQG_2022-05-21_final.stac-item
2022-05-31 11:56:33	ga_s2am_ard_3-2-1_50JLL_2022-05-31_final
2022-06-23 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-06-23_final
2022-08-10 11:26:44	ga_s2am_ard_3-2-1_51HUE_2022-08-10_final
2022-09-21 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-09-21_final.stac-item
2022-09-28 11:54:52	ga_s2am_ard_3-2-1_50JLT_2022-09-28_final.stac-item
2022-10-29 11:26:00	ga_s2am_ard_3-2-1_51JWG_2022-10-29_final.stac-item
2022-11-04 11:43:04	ga_s2am_ard_3-2-1_51KUU_2022-11-04_final.stac-item
2022-12-08 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2022-12-08_final.stac-item
2022-12-11 11:32:47	ga_s2am_ard_3-2-1_51KVV_2022-12-11_final.stac-item
2023-05-16 11:53:11	ga_s2am_ard_3-2-1_50KRC_2023-05-16_final.stac-item
2023-05-29 12:05:41	ga_s2am_ard_3-2-1_50JLP_2023-05-29_final.stac-item
2023-06-25 11:55:59	ga_s2am_ard_3-2-1_50JLN_2023-06-25_final.stac-item
2023-07-19 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-07-19_final.stac-item
2023-07-31 12:15:05	ga_s2am_ard_3-2-1_49JFM_2023-07-31_final.stac-item
2023-08-07 12:04:18	ga_s2am_ard_3-2-1_50KKV_2023-08-07_final.stac-item
2023-09-07 11:36:52	ga_s2am_ard_3-2-1_51HTD_2023-09-07_final.stac-item
2023-09-17 11:32:50	ga_s2am_ard_3-2-1_51KVV_2023-09-17_final.stac-item
2023-10-17 11:32:57	ga_s2am_ard_3-2-1_51KWU_2023-10-17_final.stac-item
2023-11-09 11:43:29	ga_s2am_ard_3-2-1_51KUS_2023-11-09_final.stac-item
2023-11-22 11:52:16	ga_s2am_ard_3-2-1_50KQG_2023-11-22_final.stac-item
2023-11-28 12:14:49	ga_s2am_ard_3-2-1_49JGM_2023-11-28_final.stac-item
2024-01-19 11:16:50	ga_s2am_ard_3-2-1_51HWC_2024-01-19_final.stac-item
2024-02-24 11:33:20	ga_s2am_ard_3-2-1_51KUT_2024-02-24_final.stac-item
2024-03-15 11:33:01	ga_s2am_ard_3-2-1_51KVU_2024-03-15_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