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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JLM_2017-07-04_final
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51KXU_2017-10-20_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_50KKA_2018-02-22_final
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KZS_2018-04-08_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KYT_2018-04-28_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KMC_2018-05-10_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGJ_2018-05-30_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KZT_2018-06-17_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HVD_2018-07-27_final
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50KQD_2018-08-15_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KZR_2018-08-16_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KVU_2018-08-29_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMK_2018-09-11_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KYT_2018-11-04_final
2018-12-17 11:36:18	ga_s2bm_ard_3-2-1_51HVE_2018-12-17_final
2019-03-10 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2019-03-10_final
2019-03-14 11:24:41	ga_s2bm_ard_3-2-1_51JWM_2019-03-14_final
2019-03-26 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-03-26_final
2019-03-30 11:40:59	ga_s2bm_ard_3-2-1_51LWG_2019-03-30_final.stac-item
2019-05-16 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-05-16_final
2019-07-12 11:23:01	ga_s2bm_ard_3-2-1_51KZU_2019-07-12_final
2019-09-16 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2019-09-16_final.stac-item
2019-11-08 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2019-11-08_final.stac-item
2019-11-21 12:03:35	ga_s2bm_ard_3-2-1_50KMB_2019-11-21_final
2020-02-09 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2020-02-09_final
2020-02-10 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2020-02-10_final
2020-02-14 11:16:54	ga_s2bm_ard_3-2-1_51HWC_2020-02-14_final.stac-item
2020-03-18 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2020-03-18_final
2020-04-10 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2020-04-10_final
2020-05-22 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2020-05-22_final
2020-05-24 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2020-05-24_final
2020-05-26 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2020-05-26_final
2020-05-26 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2020-05-26_final
2020-07-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-07-05_final
2020-07-12 11:40:59	ga_s2bm_ard_3-2-1_51LWG_2020-07-12_final.stac-item
2020-08-22 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2020-08-22_final
2020-08-27 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-08-27_final
2020-10-04 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2020-10-04_final
2020-10-31 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2020-10-31_final.stac-item
2020-11-03 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2020-11-03_final
2020-11-19 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2020-11-19_final
2020-11-19 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2020-11-19_final
2020-12-06 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2020-12-06_final
2021-01-02 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-01-02_final
2021-01-02 11:24:28	ga_s2bm_ard_3-2-1_51JWN_2021-01-02_final
2021-02-01 11:22:12	ga_s2bm_ard_3-2-1_51KYB_2021-02-01_final
2021-02-04 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-02-04_final
2021-02-14 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2021-02-14_final
2021-02-17 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2021-02-17_final
2021-04-22 11:26:16	ga_s2bm_ard_3-2-1_51HXE_2021-04-22_final
2021-05-02 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2021-05-02_final
2021-05-17 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2021-05-17_final
2021-05-18 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-05-18_final
2021-05-24 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2021-05-24_final
2021-06-08 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2021-06-08_final
2021-06-14 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2021-06-14_final
2021-07-01 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2021-07-01_final
2021-07-17 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-17_final
2021-08-30 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2021-08-30_final
2021-10-12 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2021-10-12_final
2021-11-11 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2021-11-11_final
2021-11-14 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-11-14_final
2021-11-15 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2021-11-15_final
2021-11-23 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2021-11-23_final
2021-12-04 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2021-12-04_final.stac-item
2022-02-19 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2022-02-19_final
2022-02-22 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2022-02-22_final
2022-03-08 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2022-03-08_final
2022-03-24 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2022-03-24_final
2022-04-02 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-02_final
2022-05-13 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2022-05-13_final
2022-05-23 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2022-05-23_final
2022-08-08 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2022-08-08_final
2022-09-24 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2022-09-24_final.stac-item
2022-09-27 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2022-09-27_final.stac-item
2022-11-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-11-26_final.stac-item
2022-12-20 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2022-12-20_final.stac-item
2023-01-18 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-01-18_final.stac-item
2023-02-24 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2023-02-24_final.stac-item
2023-02-27 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2023-02-27_final.stac-item
2023-03-03 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2023-03-03_final.stac-item
2023-03-29 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-03-29_final.stac-item
2023-06-01 11:24:26	ga_s2bm_ard_3-2-1_51JYN_2023-06-01_final.stac-item
2023-06-04 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2023-06-04_final.stac-item
2023-06-24 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-06-24_final.stac-item
2023-07-04 11:34:05	ga_s2bm_ard_3-2-1_51KVQ_2023-07-04_final.stac-item
2023-07-13 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-07-13_final.stac-item
2023-07-24 11:33:08	ga_s2bm_ard_3-2-1_51KYT_2023-07-24_final.stac-item
2023-08-09 11:53:08	ga_s2bm_ard_3-2-1_50KQD_2023-08-09_final.stac-item
2023-10-02 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2023-10-02_final.stac-item
2023-10-22 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2023-10-22_final.stac-item
2023-11-04 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2023-11-04_final.stac-item
2023-12-04 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2023-12-04_final.stac-item
2024-02-16 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2024-02-16_final.stac-item
2024-02-26 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2024-02-26_final.stac-item
2024-03-17 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2024-03-17_final.stac-item
2024-03-29 12:04:32	ga_s2bm_ard_3-2-1_50KKU_2024-03-29_final.stac-item
2024-04-09 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2024-04-09_final.stac-item
2024-04-12 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-04-12_final.stac-item
2024-04-22 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2024-04-22_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