Search ga_s2bm_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
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-11-11_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JMN_2017-11-18_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50JML_2017-12-05_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-12-21_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-01-20_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPH_2018-04-04_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_50KKA_2018-04-13_final
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKP_2018-04-20_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HNK_2018-05-14_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HLK_2018-06-16_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HQG_2018-08-19_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KNC_2018-10-04_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-10-20_final
2018-11-06 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2018-11-06_final
2018-11-16 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2018-11-16_final
2018-11-20 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2018-11-20_final.stac-item
2018-11-23 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2018-11-23_final
2018-11-29 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2018-11-29_final
2018-12-23 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2018-12-23_final
2019-01-02 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2019-01-02_final
2019-01-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-01-15_final
2019-03-10 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2019-03-10_final
2019-04-15 12:05:57	ga_s2bm_ard_3-2-1_50JLN_2019-04-15_final
2019-04-19 11:45:42	ga_s2bm_ard_3-2-1_50JPP_2019-04-19_final
2019-04-28 12:14:00	ga_s2bm_ard_3-2-1_50KKA_2019-04-28_final
2019-06-04 12:03:31	ga_s2bm_ard_3-2-1_50KMC_2019-06-04_final
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final
2019-06-11 11:56:15	ga_s2bm_ard_3-2-1_50JMM_2019-06-11_final
2019-07-01 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-01_final
2019-07-18 11:46:35	ga_s2bm_ard_3-2-1_50JML_2019-07-18_final
2019-08-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2019-08-17_final
2019-09-03 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2019-09-03_final
2019-12-11 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2019-12-11_final
2019-12-25 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2019-12-25_final.stac-item
2020-01-04 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-04_final
2020-04-16 11:53:27	ga_s2bm_ard_3-2-1_50KMC_2020-04-16_final
2020-04-19 12:03:36	ga_s2bm_ard_3-2-1_50KLB_2020-04-19_final
2020-04-30 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2020-04-30_final
2020-05-06 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-05-06_final
2020-05-13 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2020-05-13_final.stac-item
2020-06-22 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2020-06-22_final
2020-06-29 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2020-06-29_final.stac-item
2020-08-10 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-10_final
2020-08-21 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2020-08-21_final
2020-10-19 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-10-19_final
2020-10-26 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-10-26_final
2020-11-05 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-11-05_final
2020-11-08 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2020-11-08_final
2020-12-05 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2020-12-05_final
2020-12-09 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2020-12-09_final
2020-12-25 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2020-12-25_final
2020-12-26 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-12-26_final.stac-item
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-28_final
2020-12-28 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-12-28_final
2021-01-04 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-01-04_final
2021-01-08 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-01-08_final.stac-item
2021-03-12 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-03-12_final
2021-04-14 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-04-14_final
2021-04-14 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2021-04-14_final
2021-05-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-05-07_final
2021-06-13 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-06-13_final
2021-08-22 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-08-22_final
2021-09-11 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-09-11_final
2021-09-14 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2021-09-14_final
2021-09-24 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2021-09-24_final
2021-12-30 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-12-30_final
2022-01-10 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2022-01-10_final
2022-01-22 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2022-01-22_final
2022-01-29 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-01-29_final
2022-01-30 11:34:31	ga_s2bm_ard_3-2-1_50JRT_2022-01-30_final
2022-02-05 11:53:48	ga_s2bm_ard_3-2-1_50KNA_2022-02-05_final
2022-04-03 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2022-04-03_final
2022-04-23 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-04-23_final
2022-04-26 11:56:16	ga_s2bm_ard_3-2-1_50JML_2022-04-26_final
2022-07-09 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-09_final
2022-07-15 11:56:26	ga_s2bm_ard_3-2-1_50JML_2022-07-15_final
2022-07-25 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-07-25_final
2022-10-09 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2022-10-09_final.stac-item
2022-10-13 11:53:30	ga_s2bm_ard_3-2-1_50KMC_2022-10-13_final.stac-item
2022-11-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-11-18_final.stac-item
2022-11-19 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-11-19_final.stac-item
2022-12-25 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2022-12-25_final.stac-item
2023-01-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2023-01-04_final.stac-item
2023-01-07 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-01-07_final.stac-item
2023-04-21 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-04-21_final.stac-item
2023-06-16 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-06-16_final.stac-item
2023-06-17 11:44:53	ga_s2bm_ard_3-2-1_50JQS_2023-06-17_final.stac-item
2023-08-29 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-08-29_final.stac-item
2023-10-22 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2023-10-22_final.stac-item
2023-11-10 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-11-10_final.stac-item
2024-01-16 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-01-16_final.stac-item
2024-01-29 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2024-01-29_final.stac-item
2024-01-29 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2024-01-29_final.stac-item
2024-02-15 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2024-02-15_final.stac-item
2024-02-25 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2024-02-25_final.stac-item
2024-03-06 11:53:30	ga_s2bm_ard_3-2-1_50KPB_2024-03-06_final.stac-item
2024-03-12 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2024-03-12_final.stac-item
2024-03-12 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2024-03-12_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years