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
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQP_2016-06-05_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KVU_2016-06-18_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51KVS_2016-06-25_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KXS_2016-07-02_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49JGM_2016-12-04_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWT_2016-12-22_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51JVJ_2017-01-31_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KVB_2017-02-03_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50KMB_2017-03-11_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JFM_2017-03-14_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KXS_2017-08-26_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HMH_2017-09-21_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_51HTE_2017-09-28_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JWH_2017-10-05_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXJ_2017-10-05_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JGL_2018-01-15_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HUE_2018-02-02_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52JBR_2018-02-19_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JUG_2018-02-25_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JBN_2018-06-19_final
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_51HWD_2018-08-18_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50JLS_2018-09-12_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_51KUT_2018-09-26_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51HVD_2018-09-30_final
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_51KXU_2018-10-10_final
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51HUC_2018-10-30_final
2018-11-22 11:36:27	ga_s2am_ard_3-2-1_50HQK_2018-11-22_final
2019-02-04 11:15:48	ga_s2am_ard_3-2-1_52JBM_2019-02-04_final
2019-03-05 11:42:08	ga_s2am_ard_3-2-1_51KVB_2019-03-05_final
2019-03-15 11:45:10	ga_s2am_ard_3-2-1_51JTK_2019-03-15_final
2019-04-01 11:32:40	ga_s2am_ard_3-2-1_51KXV_2019-04-01_final
2019-04-14 11:46:17	ga_s2am_ard_3-2-1_50JQL_2019-04-14_final
2019-05-01 11:33:49	ga_s2am_ard_3-2-1_51KVR_2019-05-01_final
2019-05-18 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-05-18_final
2019-06-07 11:23:38	ga_s2am_ard_3-2-1_51KZR_2019-06-07_final
2019-06-07 11:26:38	ga_s2am_ard_3-2-1_51HXD_2019-06-07_final
2019-06-26 11:56:41	ga_s2am_ard_3-2-1_50HMK_2019-06-26_final
2019-11-24 11:22:24	ga_s2am_ard_3-2-1_51KZA_2019-11-24_final
2019-12-07 11:34:03	ga_s2am_ard_3-2-1_51KXP_2019-12-07_final
2019-12-21 11:16:31	ga_s2am_ard_3-2-1_51HYD_2019-12-21_final
2020-01-03 11:24:24	ga_s2am_ard_3-2-1_51JWN_2020-01-03_final
2020-01-09 11:43:42	ga_s2am_ard_3-2-1_50KRA_2020-01-09_final
2020-02-05 11:32:11	ga_s2am_ard_3-2-1_51KVB_2020-02-05_final
2020-02-21 11:55:10	ga_s2am_ard_3-2-1_50JPQ_2020-02-21_final
2020-05-11 11:56:04	ga_s2am_ard_3-2-1_50JKN_2020-05-11_final
2020-05-22 11:22:04	ga_s2am_ard_3-2-1_51LYC_2020-05-22_final
2020-06-03 12:04:20	ga_s2am_ard_3-2-1_50KKV_2020-06-03_final
2020-07-20 11:56:04	ga_s2am_ard_3-2-1_50JKN_2020-07-20_final
2020-09-05 11:47:19	ga_s2am_ard_3-2-1_50HLH_2020-09-05_final
2020-10-02 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-10-02_final
2020-11-04 11:42:00	ga_s2am_ard_3-2-1_51LWC_2020-11-04_final
2020-11-18 11:24:14	ga_s2am_ard_3-2-1_51KXP_2020-11-18_final
2020-11-28 11:25:21	ga_s2am_ard_3-2-1_51JYJ_2020-11-28_final
2021-01-20 11:36:32	ga_s2am_ard_3-2-1_51HTE_2021-01-20_final
2021-01-24 11:15:11	ga_s2am_ard_3-2-1_51JYK_2021-01-24_final
2021-02-15 11:53:09	ga_s2am_ard_3-2-1_50KRC_2021-02-15_final
2021-03-18 11:23:09	ga_s2am_ard_3-2-1_51KYT_2021-03-18_final
2021-04-07 11:26:28	ga_s2am_ard_3-2-1_51HUE_2021-04-07_final
2021-05-03 11:45:30	ga_s2am_ard_3-2-1_50JQP_2021-05-03_final
2021-05-24 11:15:37	ga_s2am_ard_3-2-1_52JBN_2021-05-24_final
2021-06-08 12:03:27	ga_s2am_ard_3-2-1_50KLC_2021-06-08_final
2021-11-20 11:15:51	ga_s2am_ard_3-2-1_52JBM_2021-11-20_final
2021-12-03 11:25:16	ga_s2am_ard_3-2-1_51JVK_2021-12-03_final
2022-03-19 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2022-03-19_final
2022-03-23 11:26:25	ga_s2am_ard_3-2-1_51HXE_2022-03-23_final
2022-04-15 11:36:35	ga_s2am_ard_3-2-1_51HTE_2022-04-15_final
2022-04-28 11:43:23	ga_s2am_ard_3-2-1_51KTT_2022-04-28_final
2022-05-01 11:53:30	ga_s2am_ard_3-2-1_50KNC_2022-05-01_final
2022-07-04 11:32:53	ga_s2am_ard_3-2-1_51KXV_2022-07-04_final
2022-09-14 12:15:06	ga_s2am_ard_3-2-1_49JGM_2022-09-14_final.stac-item
2022-09-21 12:05:37	ga_s2am_ard_3-2-1_49JGK_2022-09-21_final.stac-item
2022-09-25 13:21:51	ga_s2am_ard_3-2-1_47LKG_2022-09-25_interim.stac-item
2022-10-02 11:32:18	ga_s2am_ard_3-2-1_51KXB_2022-10-02_final.stac-item
2022-11-14 11:47:09	ga_s2am_ard_3-2-1_50HNH_2022-11-14_final.stac-item
2022-12-04 11:43:15	ga_s2am_ard_3-2-1_51KUT_2022-12-04_final.stac-item
2022-12-17 13:31:33	ga_s2am_ard_3-2-1_47LKH_2022-12-17_interim.stac-item
2023-01-10 11:31:41	ga_s2am_ard_3-2-1_51LXD_2023-01-10_final.stac-item
2023-01-27 11:25:07	ga_s2am_ard_3-2-1_51JXK_2023-01-27_final.stac-item
2023-01-30 11:33:14	ga_s2am_ard_3-2-1_51KVT_2023-01-30_final.stac-item
2023-02-09 11:33:26	ga_s2am_ard_3-2-1_51KWS_2023-02-09_final.stac-item
2023-02-13 11:16:33	ga_s2am_ard_3-2-1_51HYD_2023-02-13_final.stac-item
2023-03-25 11:16:10	ga_s2am_ard_3-2-1_51JXF_2023-03-25_final.stac-item
2023-04-04 11:14:23	ga_s2am_ard_3-2-1_51JZN_2023-04-04_final.stac-item
2023-04-04 11:16:34	ga_s2am_ard_3-2-1_52HBJ_2023-04-04_nrt.stac-item
2023-04-13 11:44:20	ga_s2am_ard_3-2-1_50KQU_2023-04-13_final.stac-item
2023-05-14 11:16:41	ga_s2am_ard_3-2-1_51HXD_2023-05-14_final.stac-item
2023-06-18 12:06:14	ga_s2am_ard_3-2-1_50JKM_2023-06-18_final.stac-item
2023-06-19 11:33:42	ga_s2am_ard_3-2-1_51KXR_2023-06-19_final.stac-item
2023-06-25 11:56:25	ga_s2am_ard_3-2-1_50JML_2023-06-25_final.stac-item
2023-07-03 11:16:39	ga_s2am_ard_3-2-1_52HBJ_2023-07-03_nrt.stac-item
2023-07-12 11:43:08	ga_s2am_ard_3-2-1_51KTU_2023-07-12_final.stac-item
2023-07-25 11:56:09	ga_s2am_ard_3-2-1_50JNM_2023-07-25_final.stac-item
2023-07-26 11:25:58	ga_s2am_ard_3-2-1_51JXG_2023-07-26_final.stac-item
2023-09-17 11:36:37	ga_s2am_ard_3-2-1_50HQK_2023-09-17_final.stac-item
2023-09-20 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2023-09-20_final.stac-item
2023-10-20 11:41:55	ga_s2am_ard_3-2-1_51LWC_2023-10-20_final.stac-item
2024-01-15 11:31:35	ga_s2am_ard_3-2-1_51LXD_2024-01-15_final.stac-item
2024-01-31 11:53:20	ga_s2am_ard_3-2-1_50KNC_2024-01-31_final.stac-item
2024-02-17 11:43:20	ga_s2am_ard_3-2-1_50KQC_2024-02-17_final.stac-item
2024-03-19 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2024-03-19_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

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