Remote Sensing for Terrestrial Biogeochemical Modeling

Integrating Biodiversity, Remote Sensing, and Auxiliary Information for the Study of Ecosystem Functioning and Conservation at Large Spatial Scales

“…5), there are still many challenges to be overcome to ensure its full potential is realized. Many acknowledge the lack of an acceptable framework that brings together the many proxies for ecosystem functioning that can be directly remotely sensed (e.g., Asner and Olinger 2009;De Araujo Barbosa et al 2015). But fundamentally there is a need to improve the RS estimates of the many proxies that are used to infer the ecosystem functions of interest.…”

Integrative geospatial approaches for the comprehensive monitoring and assessment of land management sustainability: Rationale, Potentials, and Characteristics

“…Climate change has major impacts on sustainability as well, but only a few geospatial studies (Carrera et al ., 2007; De Silva et al ., 2007; Sposito et al ., 2009) have thus far examined the complex interface between climate change and land management in drylands. Geospatial assessments of soil organic carbon, an important indicator of soil quality and health, are increasingly made through integration of remote sensing, geographic information systems, and ecosystem models such as CENTURY (Asner and Ollinger, 2009). C‐Lock is an interesting application in this context, facilitating the evaluation of land management impacts on soil organic carbon sequestration as well as quantification and certification of carbon emission reduction credits (Zimmerman et al ., 2005).…”

“…Geographic information systems approaches integrating various types of data (e.g., climate, topography, land cover) can help identify sediment source and sink areas (Jain et al ., 2009), evaluate physical, chemical and biological soil degradation (de Paz et al ., 2006; Odeh and Onus, 2008; Zhu et al ., 2009), and assess soil erosion risk (Erdogan et al ., 2007; Kheir, 2008; Beskow et al ., 2009; Setegn et al ., 2009; Nigel and Rughooputh, 2010). Models of nutrient or biogeochemical cycles, including fluxes of carbon, nitrogen, and water are often driven by remotely sensed data (e.g., vegetation type, leaf area index, fraction of absorbed photosynthetically active radiation, light‐use efficiency, and leaf nitrogen concentration; Asner and Ollinger, 2009). Remote sensing, geographic information systems, field, and simulation modelling efforts are often integrated to assess issues as diverse as source‐sink relationships (Zhang et al ., 2007), nutrient transfers and transformations (Le et al ., 2010), or relationships between nutrient variability and land tenure (Liu et al ., 2009).…”