Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya
This study is a first attempt to quantify the non-photosynthetic vegetation (NPV) fraction at a semiarid grassland site located in Kenya. We have first applied a model already developed and calibrated for crop analysis to predict grassland NPV from field spectral reflectance data. The second step wi...
| Autores principales: | , , , , , , , , , , , |
|---|---|
| Formato: | Póster |
| Lenguaje: | Inglés |
| Publicado: |
University of Milan
2023
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/132515 |
| _version_ | 1855528666099875840 |
|---|---|
| author | Ceriani, R. Fava, F. Tagliabue, G. Leitner, Sonja Panigada, C. Odongo, Vincent O. Vaglia, V. Mutuo, Paul M. Kinuthia, Kelvin Heidarian, R. Fakherifard, K. Pepe, M. |
| author_browse | Ceriani, R. Fakherifard, K. Fava, F. Heidarian, R. Kinuthia, Kelvin Leitner, Sonja Mutuo, Paul M. Odongo, Vincent O. Panigada, C. Pepe, M. Tagliabue, G. Vaglia, V. |
| author_facet | Ceriani, R. Fava, F. Tagliabue, G. Leitner, Sonja Panigada, C. Odongo, Vincent O. Vaglia, V. Mutuo, Paul M. Kinuthia, Kelvin Heidarian, R. Fakherifard, K. Pepe, M. |
| author_sort | Ceriani, R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study is a first attempt to quantify the non-photosynthetic vegetation (NPV) fraction at a semiarid grassland site located in Kenya. We have first applied a model already developed and calibrated for crop analysis to predict grassland NPV from field spectral reflectance data. The second step will be to refine the model and apply it to the PRISMA image to obtain a quantitative map. |
| format | Poster |
| id | CGSpace132515 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | University of Milan |
| publisherStr | University of Milan |
| record_format | dspace |
| spelling | CGSpace1325152024-11-07T09:46:37Z Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya Ceriani, R. Fava, F. Tagliabue, G. Leitner, Sonja Panigada, C. Odongo, Vincent O. Vaglia, V. Mutuo, Paul M. Kinuthia, Kelvin Heidarian, R. Fakherifard, K. Pepe, M. agroecosystems crop modelling remote sensing vegetation climate change This study is a first attempt to quantify the non-photosynthetic vegetation (NPV) fraction at a semiarid grassland site located in Kenya. We have first applied a model already developed and calibrated for crop analysis to predict grassland NPV from field spectral reflectance data. The second step will be to refine the model and apply it to the PRISMA image to obtain a quantitative map. 2023-09-25 2023-10-30T08:50:44Z 2023-10-30T08:50:44Z Poster https://hdl.handle.net/10568/132515 en Open Access application/pdf University of Milan Ceriani, R., Fava, F., Tagliabue G., Rossini M., Leitner, S., Panigada, C., Odongo, V., Vaglia, V., Mu-tuo, P., Kinuthia, K., Heidarian, R., Fakherifard, K., Pepe, M. 2023. Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya. Poster prepared for the Agronomic research for green transition workshop, Portici, 25-27 September 2023. Milan, Italy: University of Milan. |
| spellingShingle | agroecosystems crop modelling remote sensing vegetation climate change Ceriani, R. Fava, F. Tagliabue, G. Leitner, Sonja Panigada, C. Odongo, Vincent O. Vaglia, V. Mutuo, Paul M. Kinuthia, Kelvin Heidarian, R. Fakherifard, K. Pepe, M. Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya |
| title | Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya |
| title_full | Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya |
| title_fullStr | Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya |
| title_full_unstemmed | Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya |
| title_short | Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya |
| title_sort | quantifying non photosynthetic vegetation in a mixed grassland using hyperspectral data a case study in kenya |
| topic | agroecosystems crop modelling remote sensing vegetation climate change |
| url | https://hdl.handle.net/10568/132515 |
| work_keys_str_mv | AT cerianir quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT favaf quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT tagliabueg quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT leitnersonja quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT panigadac quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT odongovincento quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT vagliav quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT mutuopaulm quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT kinuthiakelvin quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT heidarianr quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT fakherifardk quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya AT pepem quantifyingnonphotosyntheticvegetationinamixedgrasslandusinghyperspectraldataacasestudyinkenya |