Field, airborne and satellite remote sensing data and other geospatial information technologies are utilized to help understand eco-hydro-climatic responses of land surfaces and address issues in environmental and natural resource management for all regions in the world. Both basic and applied remote sensing courses integrate natural resource research that support operational application of geospatial technologies and their extension to stakeholders, the integration of field and remote sensing data and analysis, monitoring and modeling of coupled human and natural systems, and the deployment of decision support tools. Remote sensing data are used to examine seasonal, interannual and spatial patterns in forest and rangeland health, wildlife habitat, and impacts of drought, wildfire, and diseases on our landscapes. Remote sensing science helps answer research questions such as: What are the bioclimatic characteristics, responses/interactions, vulnerabilities, and predictions for the American Southwest and its basins? Remote sensing science delivers products, metrics, indicators, model results, and geospatial tools that inform management and decision making at appropriate temporal, spatial and organizational scales and complexities. Multi-sensor time series observations provides measures of ecosystem variability, change, trends, resilience of land use/cover and productivity, land surface phenology in response to climate, and climate impacts on evapotranspiration and water use, and carbon cycling.