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
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HPG_2017-11-15_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMJ_2017-12-08_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HPG_2017-12-25_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMJ_2018-01-04_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HNG_2018-01-04_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGL_2018-01-10_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JPL_2018-02-13_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMJ_2018-02-16_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKN_2018-02-16_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-19_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLP_2018-03-08_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JNN_2018-03-15_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLP_2018-03-21_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-03-24_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLM_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMN_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNS_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHM_2018-03-31_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPH_2018-04-01_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HQJ_2018-04-01_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPH_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMN_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMQ_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMS_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JNS_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JPR_2018-04-07_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-04-10_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JLS_2018-04-10_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JLT_2018-04-10_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPQ_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JMT_2018-04-17_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JHN_2018-04-20_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLT_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQH_2018-04-21_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQJ_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNH_2018-04-24_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HQG_2018-08-19_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_50JNR_2018-08-22_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HLG_2018-09-01_final.stac-item
2018-12-30 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2018-12-30_final
2018-12-30 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2018-12-30_final.stac-item
2019-03-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-03-23_final
2019-03-30 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2019-03-30_final.stac-item
2019-05-09 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-05-09_final.stac-item
2019-05-19 11:45:44	ga_s2bm_ard_3-2-1_50JPP_2019-05-19_final
2019-05-19 11:46:03	ga_s2bm_ard_3-2-1_50JNN_2019-05-19_final
2019-05-22 11:54:44	ga_s2bm_ard_3-2-1_50JNT_2019-05-22_final
2019-05-22 11:54:50	ga_s2bm_ard_3-2-1_50JNT_2019-05-22_final
2019-05-22 11:54:52	ga_s2bm_ard_3-2-1_50JMT_2019-05-22_final
2019-05-22 11:55:11	ga_s2bm_ard_3-2-1_50JPR_2019-05-22_final
2019-05-22 11:56:20	ga_s2bm_ard_3-2-1_50JLM_2019-05-22_final
2019-05-28 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-28_final
2019-06-04 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-06-04_final
2019-06-08 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-06-08_final.stac-item
2019-06-11 11:55:14	ga_s2bm_ard_3-2-1_50JNR_2019-06-11_final
2019-06-11 11:57:28	ga_s2bm_ard_3-2-1_50HMG_2019-06-11_final.stac-item
2019-06-18 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-06-18_final.stac-item
2019-08-27 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2019-08-27_final.stac-item
2019-09-22 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-09-22_final.stac-item
2019-10-26 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2019-10-26_final.stac-item
2019-12-02 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2019-12-02_final.stac-item
2020-03-24 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2020-03-24_final
2020-04-06 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-04-06_final.stac-item
2020-10-10 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-10_final.stac-item
2020-10-27 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-10-27_final.stac-item
2020-12-29 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-12-29_final.stac-item
2021-05-21 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2021-05-21_final
2021-05-24 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-05-24_final
2021-05-28 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2021-05-28_final
2021-06-04 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-06-04_final.stac-item
2021-06-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-06-13_final
2021-06-13 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-06-13_final
2021-06-13 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-06-13_final
2021-06-17 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2021-06-17_final
2021-06-17 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-06-17_final.stac-item
2021-06-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-23_final
2021-06-23 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-06-23_final
2021-06-23 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-06-23_final
2021-06-23 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-06-23_final
2021-06-27 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2021-06-27_final
2021-06-27 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2021-06-27_final
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final
2021-07-07 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-07_final
2021-07-07 11:46:06	ga_s2bm_ard_3-2-1_50JPM_2021-07-07_final
2021-07-10 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-10_final
2021-07-27 11:45:41	ga_s2bm_ard_3-2-1_50JNP_2021-07-27_final
2021-07-27 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2021-07-27_final
2021-08-19 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2021-08-19_final
2021-08-19 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2021-08-19_final
2021-11-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-11-14_final
2021-12-04 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-12-04_final
2021-12-07 11:54:32	ga_s2bm_ard_3-2-1_50JNT_2021-12-07_final
2021-12-07 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2021-12-07_final
2021-12-10 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2021-12-10_final.stac-item
2022-01-13 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2022-01-13_final.stac-item
2022-02-12 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-12_final
2022-08-01 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2022-08-01_final.stac-item
2023-01-14 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2023-01-14_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