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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50KNC_2015-10-08_final.stac-item
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HPH_2015-10-22_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50KRC_2015-11-21_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KUR_2016-03-20_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50KQG_2016-08-10_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50KKU_2016-10-02_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNS_2016-10-29_final.stac-item
2016-11-02 11:26:18	ga_s2am_ard_3-2-1_51KXB_2016-11-02_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KXR_2016-12-12_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KYA_2016-12-29_final.stac-item
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51JVG_2017-04-21_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51JYL_2017-04-28_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HQJ_2017-12-10_final
2018-01-18 12:13:37	ga_s2am_ard_3-2-1_50KKA_2018-01-18_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_51HTD_2018-03-17_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JLN_2018-04-02_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_51JTG_2018-06-28_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50KKB_2018-08-03_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50HMK_2018-08-30_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50KQC_2018-10-06_final
2018-12-22 11:33:01	ga_s2am_ard_3-2-1_51KXT_2018-12-22_final
2019-01-31 11:34:26	ga_s2am_ard_3-2-1_51JVN_2019-01-31_final
2019-02-17 11:23:54	ga_s2am_ard_3-2-1_51KXQ_2019-02-17_final
2019-03-06 11:16:53	ga_s2am_ard_3-2-1_51HWC_2019-03-06_final.stac-item
2019-03-22 11:33:00	ga_s2am_ard_3-2-1_51KVU_2019-03-22_final
2019-04-14 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-04-14_final
2019-04-27 11:55:16	ga_s2am_ard_3-2-1_50JLR_2019-04-27_final
2019-06-06 11:55:58	ga_s2am_ard_3-2-1_50JLN_2019-06-06_final
2019-11-17 11:32:31	ga_s2am_ard_3-2-1_51KWA_2019-11-17_final
2020-01-06 11:36:37	ga_s2am_ard_3-2-1_51HUD_2020-01-06_final
2020-01-16 11:34:52	ga_s2am_ard_3-2-1_51JVL_2020-01-16_final
2020-01-29 11:46:12	ga_s2am_ard_3-2-1_50JPL_2020-01-29_final
2020-02-12 11:22:19	ga_s2am_ard_3-2-1_51KYA_2020-02-12_final
2020-02-14 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2020-02-14_final
2020-02-18 11:43:05	ga_s2am_ard_3-2-1_51KVT_2020-02-18_final
2020-03-06 11:34:06	ga_s2am_ard_3-2-1_51KWP_2020-03-06_final
2020-04-02 11:26:01	ga_s2am_ard_3-2-1_51JUG_2020-04-02_final
2020-04-18 11:42:57	ga_s2am_ard_3-2-1_51KVU_2020-04-18_final
2020-06-17 11:43:09	ga_s2am_ard_3-2-1_51KTU_2020-06-17_final
2020-09-02 11:34:19	ga_s2am_ard_3-2-1_51KVP_2020-09-02_final
2020-10-11 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-10-11_final
2020-11-04 11:42:47	ga_s2am_ard_3-2-1_51KVV_2020-11-04_final
2020-11-14 11:42:46	ga_s2am_ard_3-2-1_51KVV_2020-11-14_final
2020-11-14 11:43:47	ga_s2am_ard_3-2-1_51KUR_2020-11-14_final
2020-11-27 11:53:11	ga_s2am_ard_3-2-1_50KRC_2020-11-27_final
2020-11-30 12:05:38	ga_s2am_ard_3-2-1_50JLP_2020-11-30_final
2020-12-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-12-30_final
2021-01-17 11:24:27	ga_s2am_ard_3-2-1_51JXN_2021-01-17_final
2021-03-03 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-03_final
2021-04-13 11:42:08	ga_s2am_ard_3-2-1_51KVB_2021-04-13_final
2021-04-13 11:46:35	ga_s2am_ard_3-2-1_50HMK_2021-04-13_final
2021-06-02 11:44:32	ga_s2am_ard_3-2-1_51JTN_2021-06-02_final
2021-06-09 11:37:01	ga_s2am_ard_3-2-1_51HTC_2021-06-09_final
2021-06-26 11:26:19	ga_s2am_ard_3-2-1_51JUF_2021-06-26_final
2021-07-05 11:56:13	ga_s2am_ard_3-2-1_50JNM_2021-07-05_final
2021-07-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-18_final
2021-07-22 11:45:25	ga_s2am_ard_3-2-1_50JPQ_2021-07-22_final
2021-08-01 11:47:20	ga_s2am_ard_3-2-1_50HPG_2021-08-01_final.stac-item
2021-08-15 11:24:21	ga_s2am_ard_3-2-1_51JZN_2021-08-15_final
2021-08-28 11:32:48	ga_s2am_ard_3-2-1_51KVV_2021-08-28_final
2021-09-20 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-09-20_final.stac-item
2021-09-26 12:04:50	ga_s2am_ard_3-2-1_49JGN_2021-09-26_final
2022-01-17 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-01-17_final
2022-03-13 11:24:06	ga_s2am_ard_3-2-1_51KWQ_2022-03-13_final
2022-04-08 11:46:34	ga_s2am_ard_3-2-1_50HPK_2022-04-08_final
2022-05-11 11:56:15	ga_s2am_ard_3-2-1_50JLM_2022-05-11_final
2022-05-14 12:04:50	ga_s2am_ard_3-2-1_49JGN_2022-05-14_final
2022-05-24 12:05:08	ga_s2am_ard_3-2-1_49JGM_2022-05-24_final
2022-08-19 11:53:34	ga_s2am_ard_3-2-1_50KPC_2022-08-19_final
2022-09-12 11:33:58	ga_s2am_ard_3-2-1_51KUR_2022-09-12_final.stac-item
2022-09-24 12:14:05	ga_s2am_ard_3-2-1_49KGR_2022-09-24_final.stac-item
2022-09-29 11:26:42	ga_s2am_ard_3-2-1_51HXD_2022-09-29_final.stac-item
2022-10-19 11:25:48	ga_s2am_ard_3-2-1_51JVH_2022-10-19_final.stac-item
2022-12-08 11:25:10	ga_s2am_ard_3-2-1_51JXK_2022-12-08_final.stac-item
2022-12-14 11:47:24	ga_s2am_ard_3-2-1_50HMG_2022-12-14_final.stac-item
2022-12-20 12:04:23	ga_s2am_ard_3-2-1_50KLU_2022-12-20_final.stac-item
2023-01-04 11:16:07	ga_s2am_ard_3-2-1_51JYF_2023-01-04_final.stac-item
2023-02-26 11:24:06	ga_s2am_ard_3-2-1_51KYP_2023-02-26_final.stac-item
2023-02-28 12:03:38	ga_s2am_ard_3-2-1_50KLB_2023-02-28_final.stac-item
2023-03-04 11:46:19	ga_s2am_ard_3-2-1_50JNL_2023-03-04_final.stac-item
2023-03-27 11:52:18	ga_s2am_ard_3-2-1_50KQG_2023-03-27_final.stac-item
2023-04-30 11:33:02	ga_s2am_ard_3-2-1_51KVU_2023-04-30_final.stac-item
2023-05-10 11:33:47	ga_s2am_ard_3-2-1_51KUR_2023-05-10_final.stac-item
2023-05-22 12:14:59	ga_s2am_ard_3-2-1_49JGM_2023-05-22_final.stac-item
2023-05-27 11:25:42	ga_s2am_ard_3-2-1_51JXH_2023-05-27_final.stac-item
2023-06-22 11:42:46	ga_s2am_ard_3-2-1_51KVV_2023-06-22_final.stac-item
2023-06-29 11:36:18	ga_s2am_ard_3-2-1_51JUF_2023-06-29_final.stac-item
2023-07-09 11:32:49	ga_s2am_ard_3-2-1_51KWV_2023-07-09_final.stac-item
2023-07-11 12:14:00	ga_s2am_ard_3-2-1_49KHR_2023-07-11_final.stac-item
2023-09-17 11:32:32	ga_s2am_ard_3-2-1_51KWA_2023-09-17_final.stac-item
2023-10-13 11:55:49	ga_s2am_ard_3-2-1_50JKP_2023-10-13_final.stac-item
2023-11-06 11:32:35	ga_s2am_ard_3-2-1_51KVA_2023-11-06_final.stac-item
2023-12-15 12:03:40	ga_s2am_ard_3-2-1_50KKB_2023-12-15_final.stac-item
2023-12-20 11:14:19	ga_s2am_ard_3-2-1_51JZN_2023-12-20_final.stac-item
2024-01-08 11:43:00	ga_s2am_ard_3-2-1_50KRD_2024-01-08_final.stac-item
2024-01-08 11:43:05	ga_s2am_ard_3-2-1_51KVT_2024-01-08_final.stac-item
2024-03-15 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2024-03-15_final.stac-item
2024-04-17 11:46:40	ga_s2am_ard_3-2-1_50HNK_2024-04-17_final.stac-item
2024-05-01 11:24:18	ga_s2am_ard_3-2-1_51KWP_2024-05-01_final.stac-item
2024-05-17 11:42:48	ga_s2am_ard_3-2-1_51KUV_2024-05-17_nrt.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

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