@Article{LeitãoScSuOkGaLiHo:2015:PeEn,
               author = "Leit{\~a}o, Pedro J. and Schwieder, Marcel and Suess, Stefan and 
                         Okujeni, Akpona and Galv{\~a}o, L{\^e}nio Soares and van der 
                         Linden, Sebastian and Hostert, Patrick",
          affiliation = "{Humboldt-Universit{\"a}t zu Berlin} and 
                         {Humboldt-Universit{\"a}t zu Berlin} and 
                         {Humboldt-Universit{\"a}t zu Berlin} and 
                         {Humboldt-Universit{\"a}t zu Berlin} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Humboldt-Universit{\"a}t zu 
                         Berlin} and {Humboldt-Universit{\"a}t zu Berlin}",
                title = "Monitoring natural ecosystem and ecological gradients: 
                         perspectives with EnMAP",
              journal = "Remote Sensing",
                 year = "2015",
               volume = "7",
               number = "10",
                pages = "13098--13119",
             keywords = "Complex landscapes, Earth observation, Ecosystem monitoring, 
                         Ecosystem transitions, EnMAP, Gradients, Hyperspectral, Imaging 
                         spectroscopy, Savannah, Shrub encroachment.",
             abstract = "In times of global environmental change, the sustainability of 
                         human-environment systems is only possible through a better 
                         understanding of ecosystem processes. An assessment of 
                         anthropogenic environmental impacts depends upon monitoring 
                         natural ecosystems. These systems are intrinsically complex and 
                         dynamic, and are characterized by ecological gradients. Remote 
                         sensing data repeatedly collected in a systematic manner are 
                         suitable for describing such gradual changes over time and 
                         landscape gradients, e.g., through information on the vegetation's 
                         phenology. Specifically, imaging spectroscopy is capable of 
                         describing ecosystem processes, such as primary productivity or 
                         leaf water content of vegetation. Future spaceborne imaging 
                         spectroscopy missions like the Environmental Mapping and Analysis 
                         Program (EnMAP) will repeatedly acquire highquality data of the 
                         Earth's surface, and will thus be extremely useful for describing 
                         natural ecosystems and the services they provide. In this 
                         conceptual paper, we present some of the preparatory research of 
                         the EnMAP Scientific Advisory Group (EnSAG) on natural ecosystems 
                         and ecosystem transitions. Through two case studies we illustrate 
                         the usage of spectral indices derived from multi-date imaging 
                         spectroscopy data at EnMAP scale, for mapping vegetation 
                         gradients. We thus demonstrate the benefit of future EnMAP data 
                         for monitoring ecological gradients and natural ecosystems.",
                  doi = "10.3390/rs71013098",
                  url = "http://dx.doi.org/10.3390/rs71013098",
                 issn = "2072-4292",
             language = "en",
           targetfile = "2015_leitao.pdf",
        urlaccessdate = "27 abr. 2024"
}