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Integration of Remote Sensing Datasets for Environmental Applications

This work focuses on integrating various remote sensing and environmental datasets, emphasizing MODIS data products. Key applications include the use of remote sensing imagery for assessing EVI, NDVI, GPP, LST, Albedo, LAI, and NBAR. The research showcases examples such as Landsat and AVHRR datasets, with a significant focus on calibrating and developing MODIS-derived ET products through connections with FLUXNET and AERONET. The major application areas include agriculture, stream management, and analyzing biodiversity, supporting both scientific communities and citizen science.

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Integration of Remote Sensing Datasets for Environmental Applications

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  1. Integration Posters (32) • Integration of a range of remote sensing and other environmental datasets • Application of remote sensing imagery • End User Interaction

  2. Integration • Most integration work involved MODIS data products • In order: • EVI / NDVI, GPP, LST, Albedo, LAI and NBAR • Other remote sensing datasets include: Landsat , AVHRR Examples of passive micro-wave in support of SMAP AIRSAR for coarse woody debris

  3. A number of posters (> 4) on either developing or testing a MODIS derived ET product. • Either using MOD16 and testing it • Calibrating MOD16 at flux net sites and applying historically • Or developing new algorithms using corrections with EVI and LST • Integration with FLUXNET data was the most common existing networks, followed by AERONET

  4. Applications • Most applications deal with MODIS Products • EVI, Fire, ET and LST • Other RS datasets used in applications • Landsat, QB (high res), EO-1, IRS, • TOPS architecture and tools for model inter-comparison

  5. Applications • Crops the major application area, both in the US and globally • Stream, Riparian zone both in terms of fish and vegetation • Phenology, land cover, N deposition and biodiversity

  6. User Community • TOPS • Citizen science • Image storage and accessibility

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