Ecosystemic and biospheric interactions with carbon cycle

Peñuelas J, Filella I, Estiarte M, Ogaya R, Llusià J, Sardans J, Jump A, Carnicer J, Rico L, Garbulsky M, Coll M, Díaz de Quijano M, Seco R, Rivas-Ubach A, Kefauver S, Barbeta A, Achoategui A, Mejía-Chang M, Gallardo A, Farre G, Fernández M, Terradas J (2012) Ecosystemic and biospheric interactions with carbon cycle. In Carbon dioxide budget: processes and tendencies symposium. Universitat Politècnica de Catalunya, May 23-25.

Applications of hyperspectral remote sensing and GIS for assessing forest health and air pollution

Kefauver S.C., Penuelas J., Ustin S.L. (2012) Applications of hyperspectral remote sensing and GIS for assessing forest health and air pollution. International Geoscience and Remote Sensing Symposium (IGARSS). : 3379-3382.
Enllaç
Doi: 10.1109/IGARSS.2012.6350696

Resum:

The objective of this project is the assessment of air pollution impacts on conifer health in the Sierra Nevada of California, USA and the Pyrenees of Catalonia, Spain using remote sensing indices of forest health in conjunction with GIS analyses of the variability various stressors across natural landscape gradients. The Ozone Injury Index (OII) field metric applied to P. ponderosa and P. jeffreyi in the USA and adapted to P. uncinata in Spain included chlorotic mottling, needle retention, needle length, and crown depth. Species-level classifications of AVIRIS and CASI hyperspectral imagery were all near 80% overall accuracy for the target bioindicator species. Combining remote sensing indices with GIS variables related to microsite ozone uptake variability produced improved regressions for Catalonia (R2=0.68, p<0.0001) and California (R2=0.56, p<0.0001). Multiple regression models for the ozone injury visual component (VI) alone performed much better than the full OII in Catalonia combining the remote sensing index PRI and a three year average of ambient ozone (R2=0.56, p<0.0001) and better still when including GIS variables (R2=0.77, p<0.0001). © 2012 IEEE.

Llegeix més

Improving assessments of tropospheric ozone injury to Mediterranean montane conifer forests in California (USA) and Catalonia (Spain) with GIS models related to plant water relations

Kefauver S.C., Peñuelas J., Ustin S.L. (2012) Improving assessments of tropospheric ozone injury to Mediterranean montane conifer forests in California (USA) and Catalonia (Spain) with GIS models related to plant water relations. Atmospheric Environment. 62: 41-49.
Enllaç
Doi: 10.1016/j.atmosenv.2012.08.013

Resum:

The impacts of tropospheric ozone on conifer health in the Sierra Nevada of California, USA, and the Pyrenees of Catalonia, Spain, were measured using field assessments and GIS variables of landscape gradients related to plant water relations, stomatal conductance and hence to ozone uptake. Measurements related to ozone injury included visible chlorotic mottling, needle retention, needle length, and crown depth, which together compose the Ozone Injury Index (OII). The OII values observed in Catalonia were similar to those in California, but OII alone correlated poorly to ambient ozone in all sites. Combining ambient ozone with GIS variables related to landscape variability of plant hydrological status, derived from stepwise regressions, produced models with R 2 = 0.35, p = 0.016 in Catalonia, R 2 = 0.36, p < 0.001 in Yosemite and R 2 = 0.33, p = 0.007 in Sequoia/Kings Canyon National Parks in California. Individual OII components in Catalonia were modeled with improved success compared to the original full OII, in particular visible chlorotic mottling (R 2 = 0.60, p < 0.001). The results show that ozone is negatively impacting forest health in California and Catalonia and also that modeling ozone injury improves by including GIS variables related to plant water relations. Capsule: Models of ozone injury improve significantly when combining ambient ozone mixing ratios and field assessment of ozone impacts with GIS variables related to plant water relations. © 2012 Elsevier Ltd.

Llegeix més

Applications of hyperspectral remote sensing and GIS for assessing forest health and air pollution

Kefauver SC, Peñuelas J, Ustin SL (2012) Applications of hyperspectral remote sensing and GIS for assessing forest health and air pollution. Proceedings of the IEEE IGARS Congress.

Remote Sensing of Bioindicators for Forest Health Assessment.

Kefauver SC, Peñuelas J, Ustin S (2012) Remote Sensing of Bioindicators for Forest Health Assessment. European Space Agency Earth Observation Summer School, Rome, Italy. July 9-August 10.

Remote sensing of bioindicators for forest health assessment.

Kefauver  SC, Peñuelas J, Ustin S (2012) Remote sensing of bioindicators for forest health assessment. Poster presented at the European Space Agency Earth Observation Summer School, Frascati, Italy. July 29-August 10.

Applications of hyperspectral remote sensing and GIS for assessing forest health and air pollution.

Kefauver SC, Peñuelas J, Ustin S (2012) Applications of hyperspectral remote sensing and GIS for assessing forest health and air pollution. Oral presentation at the International Geoscience and Remote Sensing Symposium (IGARSS IEEE), Munich, Germany. July 22-27.