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From Earth Science Information Partners (ESIP)
- for Satellites (IVICS) is a visualization and image analysis software system for satellite and other image data. Many different types of satellite can3 KB (412 words) - 08:49, April 14, 2009
- collaborate with (but do not focus on) practices around remotely sensed data (satellite imagery, drone surveys, aerial photography, etc.). E-mail List: ESIP EnviroSensing3 KB (6 words) - 12:55, April 19, 2022
- comparison of NEI and global emission estimates from satellites Spatial/temporal comparison of satellite and surface NO2 Visualize NO2 in RSIG Register NO25 KB (386 words) - 03:33, September 1, 2012
- What Links here on ESIP wiki 400px SEAWiFS is a high resolution (1km) satellite dataset derived from the eight wavelength SEAWiFS sensor. The dataset also1 KB (100 words) - 18:06, December 14, 2009
- have more influence on some regions. Satellite data coverage is also not equal everywhere: geostationary satellites denser coverage at high latitudes ocean8 KB (1,023 words) - 09:53, October 8, 2021
- Meteorological Research Needs for Improved AQ Forecasting (category Satellite)Team US Weather Research Program - ID needs for AQ Forecasting Satellite: Use satellite to derive surface features.790 bytes (111 words) - 22:03, October 20, 2009
- Egyptian Environmntal Affairs Agency (category Satellite)implemented with support from the Danish Government No mention in text of Satellites - Janja?776 bytes (95 words) - 16:39, October 21, 2009
- of MODIS Fire Pixels Parameters: Fire Pixels Domain: Fire | Platform: Satellite | Instrument: No Instrument | Method: No Method | Type: Image | Periodicity:365 bytes (24 words) - 09:39, April 18, 2013
- Color Image Dataset Parameters: Terra, Aqua Domain: Aerosol | Platform: Satellite | Instrument: No Instrument | Method: No Method | Type: Image | Periodicity:369 bytes (24 words) - 09:45, April 18, 2013
- descriptor for this communities key resources (e.g. ground based observations, satellite data, model data, and the related intermediate products and services).985 bytes (1,381 words) - 09:53, October 8, 2021
- life example how to download and store satellite data. This data has been collected by three different satellites from 1978 to present. It is downloadable8 KB (1,166 words) - 16:42, April 23, 2012
- Ground-level ozone in the 21st Century: Future trends, impacts and policy implications (category Satellite)Consensus from Royal Society Satellite: However, an absence of long-term monitoring in many regions, and inadequate satellite observations means that it1 KB (156 words) - 22:16, October 20, 2009
- is an aerosol related dataset derived from the Total Ozone Monitoring Satellite (TOMS) Sensor. The TOMS aerosol index arises from absorbing aerosols such1 KB (50 words) - 11:24, December 14, 2009
- A study of air pollution Sources as viewd by Earth Satellites (category Satellite)Form Doc #: Title: A study of air pollution Sources as viewd by Earth Satellites | Document Link Organization/Author: D. Randerson Type: "Journal Article"313 bytes (72 words) - 12:21, November 23, 2009
- Description: ASTR Fire Pixels, Daily Parameters: Fires Domain: Fire | Platform: Satellite | Instrument: No Instrument | Method: Point | Type: SeqImage | Periodicity:403 bytes (32 words) - 13:56, January 24, 2008
- Unnamed SIVO WMS - G5FCST (DEV) Parameters: NO2 Domain: Gases | Platform: Satellite | Instrument: No Instrument | Method: RemoteSens | Type: GRID | Periodicity:904 bytes (37 words) - 14:36, January 24, 2008
- Scheffe: Section 2.1.7 Satellite–Based Air Quality Observing Systems More descriptive explanation of satellite data use is provided relative to other sections14 KB (1,993 words) - 11:01, November 3, 2009
- Improving Emission Inventories for Effective Air Quality Management Across North America: A NARSTO Assessment (category Satellite)attempt to partially confi rm an inventory. Satellite: Chpt. 6 - technologies Other techniques, including satellite remote sensing and inverse modeling, are2 KB (218 words) - 22:20, October 20, 2009
- WMO SAND AND DUST STORM WARNING ADVISORY AND ASSESSMENT SYSTEM (SDS-WAS): IMPLEMENTATION PLAN 2009-2013 (category Satellite)Earth System models use complex parameterizations and assimilation of satellite, and surface-based observations to predict winds, clouds, precipitation1,018 bytes (155 words) - 21:45, October 20, 2009
- Community Input to the NRC Decadal Survey from the NCAR Workshop on Air Quality Remote Sensing from Space: Defining Optimum Observing Strategy (category Satellite)input to Decadal Survey Satellite: examine what observational characteristics are required for the successful use of satellite remote sensing to measure1 KB (196 words) - 22:02, October 20, 2009