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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Developing Landsat Based Algorithms To Augment In Situ Monitoring Of Freshwater Lakes And Reservoirs, Eliza Deutsch, Ibrahim Alameddine, Mutasem El-Fadel
Developing Landsat Based Algorithms To Augment In Situ Monitoring Of Freshwater Lakes And Reservoirs, Eliza Deutsch, Ibrahim Alameddine, Mutasem El-Fadel
International Conference on Hydroinformatics
Many lakes and reservoirs lack adequate water quality monitoring programs. With little information on the state of these systems, managing these resources and their contributing watersheds is a challenge. The use of remote sensing presents an opportunity to better characterize these freshwater systems. The full potential of using the Landsat program to measure optically active water quality parameters, such as chlorophyll-a, suspended sediments and water clarity was explored using the Qaraoun Reservoir in Lebanon as a case study. An in situ monitoring program was developed and synchronized with the overpass of Landsat 7 and the newly launched Landsat 8 satellites …
Graphic User Interface To Preprocess Landsat Tm, Etm+ And Oli Images For Hydrological Applications, Rafael Pimentel, Javier Herrero, María José Polo
Graphic User Interface To Preprocess Landsat Tm, Etm+ And Oli Images For Hydrological Applications, Rafael Pimentel, Javier Herrero, María José Polo
International Conference on Hydroinformatics
Remote sensing techniques are powerful tools for the validation and data assimilation of GIS-based calculations of physical and distributed hydrological models. The high spatial resolution of Landsat TM, ETM+ and OLI, make this the most adequate satellite images for the study of hydrological processes in Mediterranean regions. Several levels of preprocessing are required to obtain validated reflectance values from these images. Generally, these steps include radiometric calibrations and an atmospheric correction. However, over complex terrain and for specific land covers such as snow, certain problems related to radiometric saturation and shadow effects must also be taken into account. This work …
Monitoring Conterminous United States (Conus) Land Cover Change With Web-Enabled Landsat Data (Weld), M C. Hansen, A. Egorov, P V. Potapov, S V. Stehman, A Tyukavina, S A. Turubanova, D. P. Roy, S J. Goetz, T R. Loveland, J Ju, A. Kommareddy, V. Kovalskyy, C Forsyth, T Bents
Monitoring Conterminous United States (Conus) Land Cover Change With Web-Enabled Landsat Data (Weld), M C. Hansen, A. Egorov, P V. Potapov, S V. Stehman, A Tyukavina, S A. Turubanova, D. P. Roy, S J. Goetz, T R. Loveland, J Ju, A. Kommareddy, V. Kovalskyy, C Forsyth, T Bents
United States Geological Survey: Staff Publications
Forest cover loss and bare ground gain from 2006 to 2010 for the conterminous United States (CONUS) were quantified at a 30 m spatial resolution using Web-Enabled Landsat Data available from the USGS Center for Earth Resources Observation and Science (EROS) (http://landsat.usgs.gov/WELD.php). The approach related multi-temporal WELD metrics and expert-derived training data for forest cover loss and bare ground gain through a decision tree classification algorithm. Forest cover loss was reported at state and ecoregional scales, and the identification of core forests' absent of change was made and verified using LiDAR data from the GLAS (Geoscience Laser Altimetry System) instrument. …