### Objectives  
The purpose of this work is to build upon previous studies and make updated land cover classification maps of Galapagos agroecosystems available using some of the highest-resolution freely-available images. Specifically, our objectives for the present investigation are to:  
* Develop a classification methodology, using remote sensing, specifically in complex agroecosystem landscapes.
* Identify regions of remaining native forests in and near the agricultural zone.
* Identify the distribution of invasive plant species like _Psidium guajawa_, _Rubus niveus_, _Zygsigum jambos_, and _Pennisetum purpureum_ that threaten agricultural lands and adjacent protected areas.
* Identify the distribution of _Erythrina smithiana_ living fences in Santa Cruz, which might act as an obstacle for migrating tortoise populations.
* Identify the distribution of economically significant agricultural land cover like cattle ranching pastures, annual crops, tree crops, and cash crops, such as coffee.  
Having access to updated information about the distribution of invasive species and remaining native forests will assist landowners and institutions like the GNP and the Ministry of Agriculture (MAG) in their goals to manage land uses, conserve protected species, and prevent the spread of invasive plants. Current land cover distributions can help determine the optimal conditions for prized crops, as well as predict the range of invasive plants in islands where plants may be at a different stage of colonization. This information, together with previous efforts using comparable mapping techniques, will help plan for future conditions as both local and global drivers, such as land use or climatic patterns, continue to change.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Source** & **Sensor** & **Spatial Resolution** & **Spectral Resolution** & **Year Images** & **Agricultural Zone** \\  & & **Resolution** & & **Collected** & **Visibility** \\ \hline CLIRSEN and TNC, & SPOT 4 & 20 m & Visible, SWIR & 2000 & highly obscured by \\
2006 & Landsat 5 & 30 m & Visible, NIR, SWIR & 2000 & clouds \\ SICTERAS 2010 & Orthophotos & 0.5 m & Visible & 2009 & Yes \\ \hline [PERSON] et al, 2018 & Landsat 8 & 30 m & Visible, NIR, SWIR, & 2015/2016 & \\  & SRIM & 30 m & Random & 2015 & \\ \hline Jager and Carrion (_ln press_) & Worldview 2 & 0.46/1.84 m & Panchromatic, Multispectral & 2015/2018 & Excluded \\  & PlanetScope & 3 m & Visible, NIR & 2018 & Yes \\ Current publication & Sentinel-2 & 10 m & Visible, Red Edge Edge, NIR, Narrow NIR, SWIR & 2017/2019 & Yes \\  & SIGTIERRAS & 10 m & Visible (Steeoscopy) & 2009 & Yes \\  & DIM & 10 m & Visible (Steeoscopy) & 2009 & Yes \\ \hline \hline \end{tabular}  
* CLIRSEN (Center for Integrated Survey of Natural Resources by Remote Sensing); TNC (The Nature Conservancy); SIGTIERRAS (Sistema Nacional de Informacion y Gestón de Tierras Rurales e Infraestructura Tecnologica); SPOT (Satellite Pour l’Observation de la Terre); SRTM (Shuttle Radar Topography Mission); DTM (Digital Terrain Model); SWIR (shortwave infrared); NIR (near infrared).
* Shaded cells group used sensor types into individual studies.  
\end{table}
Table 1: Previous and current efforts to map land cover in the Galapagos Islands using remote sensing.*