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
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNM_2016-01-20_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51KUT_2016-08-24_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KVS_2016-11-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KWT_2016-12-12_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KXS_2017-01-01_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KXR_2017-01-08_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51KWQ_2017-05-18_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KUT_2017-07-10_final
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HPK_2017-07-23_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_51KVT_2017-09-21_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXS_2017-11-27_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KWU_2018-01-06_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KXA_2018-01-26_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51HUD_2018-02-12_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51HWC_2018-03-14_final.stac-item
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51KUT_2018-03-20_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KVQ_2018-04-26_final
2018-05-16 11:26:23	ga_s2am_ard_3-2-1_51KXU_2018-05-16_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KVQ_2018-06-05_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JKP_2018-07-24_final
2018-08-24 11:26:19	ga_s2am_ard_3-2-1_51KXU_2018-08-24_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KWQ_2018-09-03_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HMG_2018-10-06_final.stac-item
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HPH_2018-11-02_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HQG_2018-11-02_final.stac-item
2018-12-09 11:26:09	ga_s2am_ard_3-2-1_51JUF_2018-12-09_final
2019-01-01 11:32:55	ga_s2am_ard_3-2-1_51KVU_2019-01-01_final
2019-01-24 11:46:30	ga_s2am_ard_3-2-1_50HPK_2019-01-24_final
2019-02-13 11:47:21	ga_s2am_ard_3-2-1_50HMG_2019-02-13_final.stac-item
2019-04-04 11:42:10	ga_s2am_ard_3-2-1_51KWB_2019-04-04_final
2019-04-21 11:34:17	ga_s2am_ard_3-2-1_51KVP_2019-04-21_final
2019-05-08 11:23:59	ga_s2am_ard_3-2-1_51KXQ_2019-05-08_final
2019-06-03 11:43:06	ga_s2am_ard_3-2-1_50KRD_2019-06-03_final
2019-07-27 11:27:12	ga_s2am_ard_3-2-1_51HTC_2019-07-27_final
2019-08-12 11:43:08	ga_s2am_ard_3-2-1_51KTU_2019-08-12_final
2019-09-05 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2019-09-05_final
2019-10-08 11:33:30	ga_s2am_ard_3-2-1_51KWS_2019-10-08_final
2019-10-31 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-10-31_final
2019-12-27 11:33:39	ga_s2am_ard_3-2-1_51KVR_2019-12-27_final
2020-01-09 11:47:19	ga_s2am_ard_3-2-1_50HMG_2020-01-09_final.stac-item
2020-01-26 11:33:06	ga_s2am_ard_3-2-1_51KWT_2020-01-26_final
2020-01-29 11:43:04	ga_s2am_ard_3-2-1_51KTU_2020-01-29_final
2020-02-18 11:44:57	ga_s2am_ard_3-2-1_50JQR_2020-02-18_final
2020-04-05 11:32:59	ga_s2am_ard_3-2-1_51KXU_2020-04-05_final
2020-05-18 11:42:47	ga_s2am_ard_3-2-1_51KVV_2020-05-18_final
2020-05-28 11:43:24	ga_s2am_ard_3-2-1_51KTT_2020-05-28_final
2020-06-01 11:23:20	ga_s2am_ard_3-2-1_51KXT_2020-06-01_final
2020-06-11 11:23:20	ga_s2am_ard_3-2-1_51KXT_2020-06-11_final
2020-06-17 11:43:09	ga_s2am_ard_3-2-1_51KTU_2020-06-17_final
2020-06-17 11:47:27	ga_s2am_ard_3-2-1_50HNG_2020-06-17_final.stac-item
2020-08-03 11:33:09	ga_s2am_ard_3-2-1_51KWU_2020-08-03_final
2020-08-09 11:53:37	ga_s2am_ard_3-2-1_50KMC_2020-08-09_final
2020-10-12 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-10-12_final
2020-11-08 11:24:06	ga_s2am_ard_3-2-1_51KWQ_2020-11-08_final
2020-12-11 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-12-11_final.stac-item
2020-12-27 11:53:10	ga_s2am_ard_3-2-1_50KRC_2020-12-27_final
2021-02-19 11:33:12	ga_s2am_ard_3-2-1_51KWT_2021-02-19_final
2021-03-18 11:24:07	ga_s2am_ard_3-2-1_51KYP_2021-03-18_final
2021-03-30 12:03:17	ga_s2am_ard_3-2-1_50KNC_2021-03-30_final
2021-04-13 11:43:12	ga_s2am_ard_3-2-1_51KTT_2021-04-13_final
2021-04-27 11:23:10	ga_s2am_ard_3-2-1_51KXT_2021-04-27_final
2021-05-23 11:46:20	ga_s2am_ard_3-2-1_50JPL_2021-05-23_final
2021-06-02 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2021-06-02_final
2021-06-26 11:23:44	ga_s2am_ard_3-2-1_51KXR_2021-06-26_final
2021-06-29 11:32:56	ga_s2am_ard_3-2-1_51KXU_2021-06-29_final
2021-07-19 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-07-19_final
2021-09-27 11:33:26	ga_s2am_ard_3-2-1_51KUT_2021-09-27_final
2021-09-27 11:33:49	ga_s2am_ard_3-2-1_51KVR_2021-09-27_final
2021-10-27 11:32:52	ga_s2am_ard_3-2-1_51KVV_2021-10-27_final
2021-12-09 11:42:55	ga_s2am_ard_3-2-1_51KVU_2021-12-09_final
2021-12-26 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2021-12-26_final
2022-01-08 11:42:58	ga_s2am_ard_3-2-1_51KVU_2022-01-08_final
2022-03-19 11:44:02	ga_s2am_ard_3-2-1_51KUQ_2022-03-19_final
2022-06-01 11:27:09	ga_s2am_ard_3-2-1_51HUC_2022-06-01_final
2022-07-04 11:33:51	ga_s2am_ard_3-2-1_51KXR_2022-07-04_final
2022-07-14 11:36:09	ga_s2am_ard_3-2-1_51JVG_2022-07-14_final
2022-07-30 11:52:29	ga_s2am_ard_3-2-1_50KQG_2022-07-30_final.stac-item
2022-08-03 11:37:02	ga_s2am_ard_3-2-1_50HPJ_2022-08-03_final
2022-10-12 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2022-10-12_final.stac-item
2022-11-18 11:24:16	ga_s2am_ard_3-2-1_51KWP_2022-11-18_final.stac-item
2023-01-30 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2023-01-30_final.stac-item
2023-03-01 11:33:25	ga_s2am_ard_3-2-1_51KWS_2023-03-01_final.stac-item
2023-03-01 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2023-03-01_final.stac-item
2023-04-03 11:43:35	ga_s2am_ard_3-2-1_50KQB_2023-04-03_final.stac-item
2023-07-19 11:32:59	ga_s2am_ard_3-2-1_51KXU_2023-07-19_final.stac-item
2023-07-19 11:36:14	ga_s2am_ard_3-2-1_51JVF_2023-07-19_final.stac-item
2023-07-29 11:34:10	ga_s2am_ard_3-2-1_51KXP_2023-07-29_final.stac-item
2023-08-01 11:43:38	ga_s2am_ard_3-2-1_51KTS_2023-08-01_final.stac-item
2023-10-14 11:23:12	ga_s2am_ard_3-2-1_51KXT_2023-10-14_final.stac-item
2023-10-20 11:43:03	ga_s2am_ard_3-2-1_51KTU_2023-10-20_final.stac-item
2023-11-05 12:03:43	ga_s2am_ard_3-2-1_50KKB_2023-11-05_final.stac-item
2023-11-06 11:32:19	ga_s2am_ard_3-2-1_51KVB_2023-11-06_final.stac-item
2023-11-10 11:16:58	ga_s2am_ard_3-2-1_51HWC_2023-11-10_final.stac-item
2023-11-29 11:46:18	ga_s2am_ard_3-2-1_50JML_2023-11-29_final.stac-item
2023-12-16 11:36:24	ga_s2am_ard_3-2-1_51HUE_2023-12-16_final.stac-item
2023-12-26 11:32:43	ga_s2am_ard_3-2-1_51KVV_2023-12-26_final.stac-item
2024-01-08 11:42:56	ga_s2am_ard_3-2-1_51KUU_2024-01-08_final.stac-item
2024-02-07 11:43:25	ga_s2am_ard_3-2-1_51KUS_2024-02-07_final.stac-item
2024-03-09 11:14:24	ga_s2am_ard_3-2-1_51JZN_2024-03-09_final.stac-item
2024-04-14 11:37:03	ga_s2am_ard_3-2-1_51HTC_2024-04-14_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