To support ecological planning, land use, and land management decisions, AES Geospatial has developed a specific expertise in remote sensing for vegetation analysis and other natural resource issues.
AES interprets remotely sensed data, often from multiple sensors and platforms, for applications in ecological restoration, forestry, agriculture, and industrial sectors of electricity, oil, and gas.
Geospatial specialists are experts in the collection and processing of high resolution images from airborne sensors and satellite data sources. With aerial imagery as a main source of datasets, AES frequently incorporates products from LiDAR sensors, NAIP images, Landsat images, and other datasets.
AES applies multiple digital image processing methods, algorithms, statistical modeling, and other data-mining tools to develop analytical products including detailed land cover types as well as an assortment of associated biophysical characteristics.
AES is also capable of integrating products from remote sensing technology to simulate environmental impacts, such as from climate change or different land management scenarios. Our process-based ecosystem models provide simulation of ecosystem function and processes at both site and landscape scales.
By integrating a variety of strategies and technologies, in flexible combination, AES is able to produce deliverables to meet the diverse needs of a broad range of clients.
- Regional + Watershed Scale Analysis
- Remote Sensing Applications
- Ecological Modeling
- Data Collection, Management + Analysis
- Education + Outreach