Use this webmap to view and download aerial photography over Puerto Rico in 2017 and 2018, before and after Hurricane Maria.
Layers: View available layers and adjust visibility and opacity. Hover over a layer in the legend to highlight it on the map.
Selection: Use the drawing tool to place a marker or draw a shape around an area of interest. The resulting list of images will be displayed in this panel to view and download.
Each .JPG image includes a .JGW world file which can be used to locate the image in a GIS program.
About: More information about the project and files.
All layers are hosted on an ArcGIS MapServer:
https://maps.nccs.nasa.gov/server/rest/services/gliht/201703_PuertoRico_test/MapServer
Use this URL to load the layers into a GIS program of your choice.
Data from Goddard's Lidar, Hyperspectral, and Thermal (G-LiHT) Airborne Imager (gliht.gsfc.nasa.gov) were acquired in March 2017 and May 2018 across the island of Puerto Rico as part of the Department of Energy's Next Generation Ecosystem Experiment (NGEE) Tropics project and NASA's Florescence Airborne Research Experiment (FLARE).
G-LiHT data collected during 2017 will be used to estimate carbon accumulation and species composition of second growth tropical forests as a function of soils, climate, and land use history. In addition to the lidar, hyperspectral, and thermal instruments, the Next Generation G-LiHT (v2.0) instrument package includes a Phase One 100 MP camera (3-4 cm ground resolution). Photos were collected with 80-90% along-track overlap to support stereo analysis of canopy elements and other ground features.
This page displays mosaic images of G-LiHT aerial photos to provide scene context and support science investigations for NGEE-Tropics and FLARE, based on the best-available mosaic products to date. Updates to the collection of mosaic images will be described with each data release. In addition, frame selection and download tools are currently under development. Note: given the high spatial resolution of the individual photos, the data volumes associated with large areas of G-LiHT coverage will be large (~20 MB per image).
