Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-08-18 10:53:11	ga_s2am_ard_3-2-1_52JFT_2015-08-18_final.stac-item
2015-11-13 10:42:13	ga_s2am_ard_3-2-1_52JGL_2015-11-13_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXK_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_52KBA_2015-11-25_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_52KDF_2016-01-21_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JFT_2016-03-28_final.stac-item
2016-05-02 11:56:30	ga_s2am_ard_3-2-1_50HMK_2016-05-02_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_52KBB_2016-05-23_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLL_2016-09-19_final.stac-item
2016-11-08 11:56:13	ga_s2am_ard_3-2-1_50JKM_2016-11-08_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50JQT_2017-01-14_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KTT_2017-01-14_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50JQT_2017-01-24_final.stac-item
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50HQH_2017-01-31_final.stac-item
2017-04-22 11:03:00	ga_s2am_ard_3-2-1_52JCQ_2017-04-22_final.stac-item
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51JWF_2017-04-28_final.stac-item
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52JCS_2017-05-25_final.stac-item
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_51JXH_2017-08-13_final.stac-item
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_51HTE_2017-09-08_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JPL_2017-12-10_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JQM_2017-12-10_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51JTH_2017-12-30_final.stac-item
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KDB_2018-01-10_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JWN_2018-01-13_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JYJ_2018-01-13_final.stac-item
2018-01-27 11:02:54	ga_s2am_ard_3-2-1_52JCL_2018-01-27_final.stac-item
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51LVC_2018-02-08_final.stac-item
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JYJ_2018-02-22_final.stac-item
2018-04-13 11:26:23	ga_s2am_ard_3-2-1_51HVD_2018-04-13_final.stac-item
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_51JZM_2018-04-20_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKM_2018-07-04_final.stac-item
2018-08-08 11:13:24	ga_s2am_ard_3-2-1_52KCB_2018-08-08_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JMM_2018-08-30_final.stac-item
2018-11-11 12:04:52	ga_s2am_ard_3-2-1_50JKS_2018-11-11_final.stac-item
2019-01-01 11:32:26	ga_s2am_ard_3-2-1_51KVA_2019-01-01_final.stac-item
2019-01-01 11:34:19	ga_s2am_ard_3-2-1_51JWN_2019-01-01_final.stac-item
2019-02-08 10:55:53	ga_s2am_ard_3-2-1_52JGL_2019-02-08_final.stac-item
2019-03-15 11:41:52	ga_s2am_ard_3-2-1_51LWC_2019-03-15_final.stac-item
2019-03-25 11:44:30	ga_s2am_ard_3-2-1_51JTN_2019-03-25_final.stac-item
2019-04-01 11:36:17	ga_s2am_ard_3-2-1_51JTF_2019-04-01_final.stac-item
2019-04-25 11:16:44	ga_s2am_ard_3-2-1_51HXD_2019-04-25_final.stac-item
2019-06-07 11:26:46	ga_s2am_ard_3-2-1_51HVD_2019-06-07_final.stac-item
2019-07-10 11:33:09	ga_s2am_ard_3-2-1_51KWU_2019-07-10_final.stac-item
2019-09-22 11:16:41	ga_s2am_ard_3-2-1_51HXD_2019-09-22_final.stac-item
2019-12-16 12:04:43	ga_s2am_ard_3-2-1_50JMS_2019-12-16_final.stac-item
2020-02-12 11:26:51	ga_s2am_ard_3-2-1_51HVC_2020-02-12_final.stac-item
2020-03-16 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-03-16_final.stac-item
2020-04-23 10:54:46	ga_s2am_ard_3-2-1_52JGR_2020-04-23_final.stac-item
2020-07-24 11:34:11	ga_s2am_ard_3-2-1_51KXP_2020-07-24_final.stac-item
2020-08-03 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-08-03_final.stac-item
2020-08-16 11:45:09	ga_s2am_ard_3-2-1_50JQR_2020-08-16_final.stac-item
2020-11-28 11:27:02	ga_s2am_ard_3-2-1_51HUC_2020-11-28_final.stac-item
2020-11-30 12:05:29	ga_s2am_ard_3-2-1_49JGK_2020-11-30_final.stac-item
2020-12-11 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-12-11_final.stac-item
2020-12-21 11:31:19	ga_s2am_ard_3-2-1_51LZE_2020-12-21_final.stac-item
2021-01-30 11:31:21	ga_s2am_ard_3-2-1_51LZE_2021-01-30_final.stac-item
2021-02-02 11:46:05	ga_s2am_ard_3-2-1_50JPM_2021-02-02_final.stac-item
2021-02-09 11:32:21	ga_s2am_ard_3-2-1_51KYA_2021-02-09_final.stac-item
2021-02-12 11:44:00	ga_s2am_ard_3-2-1_50KRV_2021-02-12_final.stac-item
2021-02-15 11:55:14	ga_s2am_ard_3-2-1_50JPQ_2021-02-15_final.stac-item
2021-03-04 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-03-04_final.stac-item
2021-04-06 11:56:10	ga_s2am_ard_3-2-1_50JKM_2021-04-06_final.stac-item
2021-05-29 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-05-29_final.stac-item
2021-07-13 11:14:56	ga_s2am_ard_3-2-1_52JBR_2021-07-13_final.stac-item
2021-07-29 11:33:19	ga_s2am_ard_3-2-1_51KVT_2021-07-29_final.stac-item
2021-08-08 11:35:47	ga_s2am_ard_3-2-1_51JUH_2021-08-08_final.stac-item
2021-08-18 11:32:22	ga_s2am_ard_3-2-1_51KVB_2021-08-18_final.stac-item
2021-10-03 11:56:34	ga_s2am_ard_3-2-1_50HNK_2021-10-03_final.stac-item
2021-11-19 11:46:01	ga_s2am_ard_3-2-1_50JQM_2021-11-19_final.stac-item
2022-02-08 11:14:08	ga_s2am_ard_3-2-1_51KZP_2022-02-08_final.stac-item
2022-03-04 10:56:04	ga_s2am_ard_3-2-1_52JFL_2022-03-04_final.stac-item
2022-03-19 11:42:02	ga_s2am_ard_3-2-1_51LVC_2022-03-19_final.stac-item
2022-03-29 11:44:48	ga_s2am_ard_3-2-1_51JTM_2022-03-29_final.stac-item
2022-04-01 11:55:49	ga_s2am_ard_3-2-1_50JMN_2022-04-01_final.stac-item
2022-05-24 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-05-24_final.stac-item
2022-05-28 11:43:44	ga_s2am_ard_3-2-1_50KQB_2022-05-28_final.stac-item
2022-05-28 11:44:52	ga_s2am_ard_3-2-1_50JRS_2022-05-28_final.stac-item
2022-05-29 11:13:41	ga_s2am_ard_3-2-1_52KDA_2022-05-29_final.stac-item
2022-05-29 11:15:44	ga_s2am_ard_3-2-1_52JBN_2022-05-29_final.stac-item
2022-05-31 11:54:34	ga_s2am_ard_3-2-1_50KMU_2022-05-31_final.stac-item
2022-08-03 11:32:43	ga_s2am_ard_3-2-1_51KVA_2022-08-03_final.stac-item
2022-08-19 11:57:04	ga_s2am_ard_3-2-1_50HMJ_2022-08-19_final.stac-item
2022-11-25 11:16:07	ga_s2am_ard_3-2-1_51JYF_2022-11-25_final.stac-item
2023-01-04 11:13:28	ga_s2am_ard_3-2-1_51KZS_2023-01-04_final.stac-item
2023-01-16 11:57:11	ga_s2am_ard_3-2-1_49HGC_2023-01-16_nrt.stac-item
2023-03-28 11:24:35	ga_s2am_ard_3-2-1_51JYM_2023-03-28_final
2023-04-06 11:57:14	ga_s2am_ard_3-2-1_49HGC_2023-04-06_nrt
2023-04-14 11:16:34	ga_s2am_ard_3-2-1_52HBJ_2023-04-14_nrt
2023-05-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2023-05-06_final
2023-05-14 11:15:48	ga_s2am_ard_3-2-1_52JCM_2023-05-14_final
2023-05-14 12:51:00	ga_s2am_ard_3-2-1_48LWP_2023-05-14_final
2023-06-22 11:46:16	ga_s2am_ard_3-2-1_50JMM_2023-06-22_final
2023-06-26 11:24:40	ga_s2am_ard_3-2-1_51JYM_2023-06-26_final
2023-11-15 12:06:08	ga_s2am_ard_3-2-1_50JKM_2023-11-15_final
2024-01-25 11:33:16	ga_s2am_ard_3-2-1_51KUT_2024-01-25_final
2024-01-25 11:35:31	ga_s2am_ard_3-2-1_50JQP_2024-01-25_final
2024-03-09 11:12:38	ga_s2am_ard_3-2-1_52KCE_2024-03-09_final
2024-03-09 11:16:23	ga_s2am_ard_3-2-1_51HYE_2024-03-09_final
2024-03-15 11:31:06	ga_s2am_ard_3-2-1_51LZF_2024-03-15_final
2024-03-15 11:36:31	ga_s2am_ard_3-2-1_51HTE_2024-03-15_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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