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
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HMH_2016-01-20_final.stac-item
2016-03-08 11:02:38	ga_s2am_ard_3-2-1_52JGT_2016-03-08_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KZB_2016-04-23_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52KFD_2016-05-10_final.stac-item
2016-06-16 11:02:13	ga_s2am_ard_3-2-1_52JFT_2016-06-16_final.stac-item
2016-10-27 11:09:33	ga_s2am_ard_3-2-1_52JCT_2016-10-27_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_52KCB_2017-01-18_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JWH_2017-03-19_final.stac-item
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KVV_2017-03-25_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50JNM_2017-04-14_final.stac-item
2017-05-03 12:14:44	ga_s2am_ard_3-2-1_49JFM_2017-05-03_final.stac-item
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JWN_2017-09-08_final.stac-item
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50JLM_2017-09-24_final.stac-item
2018-01-10 11:12:06	ga_s2am_ard_3-2-1_52KDF_2018-01-10_final.stac-item
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KQC_2018-02-18_final.stac-item
2018-03-08 11:03:09	ga_s2am_ard_3-2-1_52JFS_2018-03-08_final.stac-item
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_51JYF_2018-05-10_final.stac-item
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KXS_2018-05-23_final.stac-item
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_52KFU_2018-05-27_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVK_2018-06-05_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JWL_2018-06-05_final.stac-item
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50JMM_2018-10-06_final.stac-item
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_51LWC_2018-10-16_final.stac-item
2018-11-01 12:05:28	ga_s2am_ard_3-2-1_50JLP_2018-11-01_final.stac-item
2018-11-08 11:54:09	ga_s2am_ard_3-2-1_50KQU_2018-11-08_final.stac-item
2018-11-09 11:25:01	ga_s2am_ard_3-2-1_51JYK_2018-11-09_final.stac-item
2019-03-21 12:05:10	ga_s2am_ard_3-2-1_50JKR_2019-03-21_final.stac-item
2019-05-27 11:54:54	ga_s2am_ard_3-2-1_50JNS_2019-05-27_final.stac-item
2019-06-23 11:45:15	ga_s2am_ard_3-2-1_50JNR_2019-06-23_final.stac-item
2019-06-23 11:45:48	ga_s2am_ard_3-2-1_51JTH_2019-06-23_final.stac-item
2019-06-26 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-06-26_final.stac-item
2019-07-12 12:15:25	ga_s2am_ard_3-2-1_49JGK_2019-07-12_final.stac-item
2019-08-26 11:25:15	ga_s2am_ard_3-2-1_51JWK_2019-08-26_final.stac-item
2019-10-05 11:26:42	ga_s2am_ard_3-2-1_51HWD_2019-10-05_final.stac-item
2019-10-21 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-10-21_final.stac-item
2019-10-22 11:16:40	ga_s2am_ard_3-2-1_51HYD_2019-10-22_final.stac-item
2020-01-09 11:43:56	ga_s2am_ard_3-2-1_51KTQ_2020-01-09_final.stac-item
2020-03-03 11:22:37	ga_s2am_ard_3-2-1_51KYV_2020-03-03_final.stac-item
2020-03-16 11:33:49	ga_s2am_ard_3-2-1_51KXQ_2020-03-16_final.stac-item
2020-04-25 11:35:03	ga_s2am_ard_3-2-1_51JUL_2020-04-25_final.stac-item
2020-07-17 11:45:04	ga_s2am_ard_3-2-1_51JTL_2020-07-17_final.stac-item
2020-08-06 11:45:42	ga_s2am_ard_3-2-1_50JPP_2020-08-06_final.stac-item
2020-08-16 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-08-16_final.stac-item
2020-09-02 11:36:01	ga_s2am_ard_3-2-1_51JVG_2020-09-02_final.stac-item
2020-09-02 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-09-02_final.stac-item
2020-09-11 12:06:13	ga_s2am_ard_3-2-1_50JKM_2020-09-11_final.stac-item
2020-09-12 11:33:27	ga_s2am_ard_3-2-1_51KXS_2020-09-12_final.stac-item
2020-10-15 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-10-15_final.stac-item
2020-11-01 11:31:26	ga_s2am_ard_3-2-1_51LZE_2020-11-01_final.stac-item
2020-11-02 11:04:26	ga_s2am_ard_3-2-1_52JDT_2020-11-02_final.stac-item
2020-11-24 11:43:19	ga_s2am_ard_3-2-1_51KTT_2020-11-24_final.stac-item
2020-12-10 12:03:41	ga_s2am_ard_3-2-1_50KKB_2020-12-10_final.stac-item
2020-12-11 11:33:35	ga_s2am_ard_3-2-1_51KXR_2020-12-11_final.stac-item
2020-12-28 11:23:06	ga_s2am_ard_3-2-1_51KZT_2020-12-28_final.stac-item
2021-01-27 11:21:59	ga_s2am_ard_3-2-1_51LYC_2021-01-27_final.stac-item
2021-01-31 11:05:49	ga_s2am_ard_3-2-1_52JDM_2021-01-31_final.stac-item
2021-02-03 11:15:42	ga_s2am_ard_3-2-1_51JXH_2021-02-03_final.stac-item
2021-02-05 11:53:24	ga_s2am_ard_3-2-1_50KNC_2021-02-05_final.stac-item
2021-02-12 11:43:46	ga_s2am_ard_3-2-1_51KTR_2021-02-12_final.stac-item
2021-03-18 11:21:58	ga_s2am_ard_3-2-1_51LYC_2021-03-18_final.stac-item
2021-03-18 11:23:24	ga_s2am_ard_3-2-1_51KYS_2021-03-18_final.stac-item
2021-03-30 12:03:57	ga_s2am_ard_3-2-1_49KHR_2021-03-30_final.stac-item
2021-04-20 11:36:43	ga_s2am_ard_3-2-1_50HQJ_2021-04-20_final.stac-item
2021-06-13 11:15:33	ga_s2am_ard_3-2-1_52JCN_2021-06-13_final.stac-item
2021-06-13 11:16:23	ga_s2am_ard_3-2-1_51HYE_2021-06-13_final.stac-item
2021-06-16 11:23:50	ga_s2am_ard_3-2-1_52KBV_2021-06-16_final.stac-item
2021-07-19 11:35:01	ga_s2am_ard_3-2-1_51JVL_2021-07-19_final.stac-item
2021-10-03 11:53:15	ga_s2am_ard_3-2-1_50KRC_2021-10-03_final.stac-item
2021-10-26 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2021-10-26_final.stac-item
2021-11-12 11:56:32	ga_s2am_ard_3-2-1_50HNK_2021-11-12_final.stac-item
2022-01-15 11:31:49	ga_s2am_ard_3-2-1_51LZC_2022-01-15_final.stac-item
2022-05-02 11:24:46	ga_s2am_ard_3-2-1_51JXM_2022-05-02_final.stac-item
2022-05-05 11:36:01	ga_s2am_ard_3-2-1_51JVG_2022-05-05_final.stac-item
2022-05-21 11:56:09	ga_s2am_ard_3-2-1_50JKN_2022-05-21_final.stac-item
2022-06-01 11:22:46	ga_s2am_ard_3-2-1_51KZV_2022-06-01_final.stac-item
2022-06-07 11:43:23	ga_s2am_ard_3-2-1_51KUT_2022-06-07_final.stac-item
2022-08-11 10:54:24	ga_s2am_ard_3-2-1_52JHT_2022-08-11_final.stac-item
2022-10-03 11:03:34	ga_s2am_ard_3-2-1_52KGA_2022-10-03_final.stac-item
2022-12-04 13:21:45	ga_s2am_ard_3-2-1_46LHM_2022-12-04_interim
2022-12-25 11:16:32	ga_s2am_ard_3-2-1_52HBJ_2022-12-25_nrt.stac-item
2023-01-07 11:21:58	ga_s2am_ard_3-2-1_51LYC_2023-01-07_final.stac-item
2023-02-18 12:03:41	ga_s2am_ard_3-2-1_50KKB_2023-02-18_nrt.stac-item
2023-03-28 11:24:00	ga_s2am_ard_3-2-1_51KWQ_2023-03-28_final
2023-03-30 12:04:08	ga_s2am_ard_3-2-1_50KLV_2023-03-30_final
2023-05-03 11:41:59	ga_s2am_ard_3-2-1_51LVC_2023-05-03_final
2023-06-26 11:23:46	ga_s2am_ard_3-2-1_51KXR_2023-06-26_final
2023-06-30 11:04:43	ga_s2am_ard_3-2-1_52JDS_2023-06-30_final
2023-07-03 11:12:18	ga_s2am_ard_3-2-1_52KFF_2023-07-03_final
2023-09-17 11:36:46	ga_s2am_ard_3-2-1_51HUD_2023-09-17_final
2023-11-12 11:56:29	ga_s2am_ard_3-2-1_50HNK_2023-11-12_final
2023-12-03 11:24:36	ga_s2am_ard_3-2-1_52JBR_2023-12-03_final
2023-12-28 12:14:57	ga_s2am_ard_3-2-1_49JFM_2023-12-28_final
2024-02-13 12:06:01	ga_s2am_ard_3-2-1_50JLM_2024-02-13_final
2024-02-21 11:23:23	ga_s2am_ard_3-2-1_51KYS_2024-02-21_final
2024-03-08 11:44:17	ga_s2am_ard_3-2-1_51KTP_2024-03-08_final
2024-03-25 11:33:35	ga_s2am_ard_3-2-1_51KUS_2024-03-25_final
2024-04-11 11:24:45	ga_s2am_ard_3-2-1_51JWM_2024-04-11_final
2024-05-10 11:54:15	ga_s2am_ard_3-2-1_50KQU_2024-05-10_final
2024-05-10 11:56:39	ga_s2am_ard_3-2-1_50HMK_2024-05-10_final
2024-05-26 12:15:00	ga_s2am_ard_3-2-1_49JFM_2024-05-26_nrt

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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