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
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_50KKA_2016-05-08_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KKA_2016-06-04_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52HBK_2016-07-09_final.stac-item
2016-10-24 11:03:06	ga_s2am_ard_3-2-1_51HYD_2016-10-24_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KWQ_2016-12-09_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWN_2017-01-08_final.stac-item
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51KVV_2017-02-10_final.stac-item
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50HLK_2017-03-18_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HUD_2017-05-11_final.stac-item
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KVB_2017-05-31_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50KKA_2017-09-07_final.stac-item
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52JBS_2017-12-31_final.stac-item
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KTT_2018-02-18_final.stac-item
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KVU_2018-02-28_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JNL_2018-03-13_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYM_2018-06-19_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_51KTS_2018-07-18_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNJ_2018-08-17_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JPQ_2018-08-30_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_51JTH_2018-09-26_final.stac-item
2019-04-01 11:36:58	ga_s2am_ard_3-2-1_51HUC_2019-04-01_final.stac-item
2019-07-26 11:56:35	ga_s2am_ard_3-2-1_50HNK_2019-07-26_final.stac-item
2019-07-30 11:33:50	ga_s2am_ard_3-2-1_51KVR_2019-07-30_final.stac-item
2019-08-08 12:03:31	ga_s2am_ard_3-2-1_50KLC_2019-08-08_final.stac-item
2019-08-10 11:06:14	ga_s2am_ard_3-2-1_52JBL_2019-08-10_final.stac-item
2019-09-08 11:33:33	ga_s2am_ard_3-2-1_51KUS_2019-09-08_final.stac-item
2019-11-17 11:36:59	ga_s2am_ard_3-2-1_51HUC_2019-11-17_final.stac-item
2019-12-20 11:44:10	ga_s2am_ard_3-2-1_51KTP_2019-12-20_final.stac-item
2020-02-05 11:32:42	ga_s2am_ard_3-2-1_51KYU_2020-02-05_final.stac-item
2020-02-28 11:46:36	ga_s2am_ard_3-2-1_50HMK_2020-02-28_final.stac-item
2020-03-15 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-03-15_final.stac-item
2020-03-20 11:16:33	ga_s2am_ard_3-2-1_51HYD_2020-03-20_final.stac-item
2020-03-30 11:14:27	ga_s2am_ard_3-2-1_52JCS_2020-03-30_final.stac-item
2020-04-22 11:25:54	ga_s2am_ard_3-2-1_51JXG_2020-04-22_final.stac-item
2020-05-14 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2020-05-14_final.stac-item
2020-05-22 11:22:00	ga_s2am_ard_3-2-1_51LZC_2020-05-22_final.stac-item
2020-05-24 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-05-24_final.stac-item
2020-06-12 10:56:10	ga_s2am_ard_3-2-1_52JEL_2020-06-12_final.stac-item
2020-06-27 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-06-27_final.stac-item
2020-07-16 12:15:04	ga_s2am_ard_3-2-1_49JFM_2020-07-16_final.stac-item
2020-08-13 11:36:34	ga_s2am_ard_3-2-1_51HUE_2020-08-13_final.stac-item
2020-08-13 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-08-13_final.stac-item
2020-09-21 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-09-21_final.stac-item
2020-09-22 11:34:10	ga_s2am_ard_3-2-1_51KXP_2020-09-22_final.stac-item
2020-10-05 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-10-05_final.stac-item
2020-10-08 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-10-08_final.stac-item
2020-11-07 11:52:39	ga_s2am_ard_3-2-1_50KQF_2020-11-07_final
2020-12-11 11:34:28	ga_s2am_ard_3-2-1_51JUN_2020-12-11_final.stac-item
2020-12-21 11:32:42	ga_s2am_ard_3-2-1_51KWV_2020-12-21_final.stac-item
2021-01-27 11:21:40	ga_s2am_ard_3-2-1_51LZD_2021-01-27_final.stac-item
2021-01-27 11:22:09	ga_s2am_ard_3-2-1_51KZB_2021-01-27_final.stac-item
2021-02-12 11:44:00	ga_s2am_ard_3-2-1_51KTQ_2021-02-12_final.stac-item
2021-03-21 11:31:47	ga_s2am_ard_3-2-1_51LZC_2021-03-21_final.stac-item
2021-04-10 11:34:31	ga_s2am_ard_3-2-1_51JTN_2021-04-10_final.stac-item
2021-05-23 11:45:18	ga_s2am_ard_3-2-1_50JQQ_2021-05-23_final.stac-item
2021-06-09 11:34:29	ga_s2am_ard_3-2-1_51JVN_2021-06-09_final.stac-item
2021-07-02 11:47:08	ga_s2am_ard_3-2-1_50HNH_2021-07-02_final.stac-item
2021-07-02 11:47:16	ga_s2am_ard_3-2-1_50HLH_2021-07-02_final.stac-item
2021-07-12 11:44:34	ga_s2am_ard_3-2-1_51JTN_2021-07-12_final.stac-item
2021-07-29 11:36:46	ga_s2am_ard_3-2-1_51HUD_2021-07-29_final.stac-item
2021-08-07 12:04:38	ga_s2am_ard_3-2-1_50JMT_2021-08-07_final.stac-item
2021-08-25 11:23:12	ga_s2am_ard_3-2-1_51KYT_2021-08-25_final.stac-item
2021-09-04 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2021-09-04_final.stac-item
2021-10-26 12:05:13	ga_s2am_ard_3-2-1_50JLR_2021-10-26_final.stac-item
2022-01-15 11:35:20	ga_s2am_ard_3-2-1_51JWJ_2022-01-15_final.stac-item
2022-02-28 11:15:21	ga_s2am_ard_3-2-1_52JCP_2022-02-28_final.stac-item
2022-03-30 11:16:10	ga_s2am_ard_3-2-1_51JYF_2022-03-30_final.stac-item
2022-04-11 11:56:13	ga_s2am_ard_3-2-1_50JLM_2022-04-11_final.stac-item
2022-04-21 11:56:18	ga_s2am_ard_3-2-1_50JKM_2022-04-21_final.stac-item
2022-05-19 11:14:29	ga_s2am_ard_3-2-1_51JZN_2022-05-19_final.stac-item
2022-05-25 11:32:27	ga_s2am_ard_3-2-1_51KVB_2022-05-25_final.stac-item
2022-05-29 11:15:00	ga_s2am_ard_3-2-1_52JBR_2022-05-29_final.stac-item
2022-06-05 11:06:18	ga_s2am_ard_3-2-1_52JBL_2022-06-05_final.stac-item
2022-06-17 11:46:24	ga_s2am_ard_3-2-1_50JMM_2022-06-17_final.stac-item
2022-08-06 11:46:59	ga_s2am_ard_3-2-1_50HPJ_2022-08-06_final.stac-item
2022-08-06 11:47:07	ga_s2am_ard_3-2-1_50HMJ_2022-08-06_final.stac-item
2022-08-16 11:46:25	ga_s2am_ard_3-2-1_50JMM_2022-08-16_final.stac-item
2022-10-05 11:46:48	ga_s2am_ard_3-2-1_50HMK_2022-10-05_final.stac-item
2022-11-11 11:37:01	ga_s2am_ard_3-2-1_51HUC_2022-11-11_final.stac-item
2022-12-05 11:14:35	ga_s2am_ard_3-2-1_52JCS_2022-12-05_final.stac-item
2023-01-04 11:14:19	ga_s2am_ard_3-2-1_52JCT_2023-01-04_final.stac-item
2023-01-07 11:22:37	ga_s2am_ard_3-2-1_51KZV_2023-01-07_final.stac-item
2023-01-07 11:22:51	ga_s2am_ard_3-2-1_51KZU_2023-01-07_final.stac-item
2023-01-14 11:15:34	ga_s2am_ard_3-2-1_52JBN_2023-01-14_final.stac-item
2023-01-23 11:43:07	ga_s2am_ard_3-2-1_51KVT_2023-01-23_final.stac-item
2023-02-22 11:43:22	ga_s2am_ard_3-2-1_51KVS_2023-02-22_final
2023-04-13 11:41:55	ga_s2am_ard_3-2-1_51LWC_2023-04-13_final
2023-05-09 12:04:42	ga_s2am_ard_3-2-1_49JHN_2023-05-09_final
2023-06-22 11:43:33	ga_s2am_ard_3-2-1_51KUS_2023-06-22_final
2023-06-26 11:26:00	ga_s2am_ard_3-2-1_51JWG_2023-06-26_final
2023-07-29 11:37:08	ga_s2am_ard_3-2-1_50HQH_2023-07-29_final
2023-09-13 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-09-13_final
2023-09-20 11:47:12	ga_s2am_ard_3-2-1_50HMH_2023-09-20_final
2023-11-10 11:16:36	ga_s2am_ard_3-2-1_51HYD_2023-11-10_final
2023-11-16 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-11-16_final
2024-01-06 11:05:27	ga_s2am_ard_3-2-1_52JEN_2024-01-06_final
2024-01-15 11:35:05	ga_s2am_ard_3-2-1_51JVK_2024-01-15_final
2024-01-25 11:35:53	ga_s2am_ard_3-2-1_51JUG_2024-01-25_final
2024-03-15 11:31:06	ga_s2am_ard_3-2-1_51LZF_2024-03-15_final
2024-03-25 11:33:31	ga_s2am_ard_3-2-1_51KVS_2024-03-25_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

All years