Environmental Engineering Commons^™

Predictions Of Ponderosa Pine Resiliency To Climate Change In The Cebolla Canyon Watershed, New Mexico, Breana N. Chavez

Water Resources Professional Project Reports

This project was designed to understand the potential impacts of climate change on soil moisture and the resiliency of ponderosa pine in the forested region of the Cebolla Canyon watershed (Cebolla), located in eastern New Mexico. Much of the watershed is administered as public domain land by the U.S. Bureau of Land Management (BLM). This project aims to help BLM managers understand how climate change is projected to impact ponderosa pine seedling establishment and mature ponderosa pine productivity in Cebolla.

Current and potential future soil moisture regimes in Cebolla were simulated on three hills using HYDRUS-1D. The soil moisture regimes …

Developement Of Data Fusion Methods For An Improved Estimation Of Soil Moisture, Felix Linde

International Congress on Environmental Modelling and Software

This talk presents recent work on data fusion methods applied to the estimation of soil moisture by means of remote sensing. Particularly in research dealing with landscapes and agriculture there is a need for spatially and temporally resolved estimation of soil moisture from local to regional level and beyond. The methods to evaluate the water content of the soil range from direct measurements, optical and microwave remote sensing to modeling based on precipitation measurements. Usually the availability of the specific data defines the used method. The uncertainties connected to each way of estimation vary with weather conditions, region and data …

Ecosystem Evapotranspiration: Challenges In Measurements, Estimates, And Modeling, D.M. Amatya, Suat Irmak, P. Gowda, G. Sun, J.E. Nettles, K.R. Douglas-Mankin

Biological Systems Engineering: Papers and Publications

Evapotranspiration (ET) processes at the leaf to landscape scales in multiple land uses have important controls and feed backs for local, regional, and global climate and water resource systems. Innovative methods, tools, and technologies for improved understanding and quantification of ET and crop water use are critical for adapting more effective management strategies to cope with increasing demand for freshwater resources under global climate change. This article introduces an ASABE Special Collection of 12 articles on ET monitoring and modeling research for multiple land uses and scales. The collection focuses on recent advances in four critical topical areas: (1) reference …

Ecosystem Evapotranspiration: Challenges In Measurements, Estimates, And Modeling, D.M. Amatya, Sibel Irmak, P. Gowda, G. Sun, J.E. Nettles, K.R. Douglas-Mankin

Biological Systems Engineering: Papers and Publications

Evapotranspiration (ET) processes at the leaf to landscape scales in multiple land uses have important con- trols and feedbacks for local, regional, and global climate and water resource systems. Innovative methods, tools, and technologies for improved understanding and quantification of ET and crop water use are critical for adapting more effective management strategies to cope with increasing demand for freshwater resources under global climate change. This article introduces an ASABE Special Collection of 12 articles on ET monitoring and modeling research for multiple land uses and scales. The collection focuses on recent advances in four critical topical areas: (1) reference …

Moisture Insensitive Prediction Of Soil Properties From Vnir Reflectance Spectra Based On External Parameter Orthogonalization, Nuwan K. Wijewardane, Yufeng Ge, Cristine L.S. Morgan

Biological Systems Engineering: Papers and Publications

Moisture is the single most important factor that affects soil reflectance spectra, particularly for field applications. Interest in using soil VNIR spectral libraries, which are commonly based on dry ground soils, to predict soils in the intact field-moist condition (in situ VNIR) is growing. External parameter orthogonalization (EPO) has been proposed as a useful method that links dry ground VNIR models to field moist scans. The goal of this study is to test EPO on a wider set of soil properties and four different modeling techniques, namely, Partial Least Squares Regression (PLS), Artificial Neural Network (ANN), Random Forest (RF), and …