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Articles 1 - 11 of 11
Full-Text Articles in Physical Sciences and Mathematics
Using Lidar To Estimate Carbon Sequestration Of Evergreen Trees At Eastern Washington University (Ewu) Campus, Cheney, Washington, Kristy A. Snyder
Using Lidar To Estimate Carbon Sequestration Of Evergreen Trees At Eastern Washington University (Ewu) Campus, Cheney, Washington, Kristy A. Snyder
2022 Symposium
EWU contains a variety of deciduous and evergreen trees across its campus, providing several benefits. However, no comprehensive record exists of the total number, location, species, or ages of these trees. This knowledge can inform facilities of proper care for individual trees and can be used to estimate carbon sequestration on campus. Traditional on-the-ground methods for assessing trees require tree cores or clinometers, making trees susceptible to pests or disease and leading to inaccurate results. Remote sensing using lidar data is a noninvasive, more precise method to measure tree height and subsequently assess tree age. This poster explores using point …
Multi-Criteria Evaluation Model For Classifying Marginal Cropland In Nebraska Using Historical Crop Yield And Biophysical Characteristics, Andrew Laws
School of Natural Resources: Dissertations, Theses, and Student Research
Marginal cropland is suboptimal due to historically low and variable productivity and limiting biophysical characteristics. To support future agricultural management and policy decisions in Nebraska, U.S.A, it is important to understand where cropland is marginal for its two most economically important crops: corn (Zea mays) and soybean (Glycine max). As corn and soybean are frequently planted in a crop rotation, it is important to consider if there is a relationship with cropland marginality. Based on the current literature, there exists a need for a flexible yet robust methodology for identifying marginal land at different scales, which …
The Potential Of Remotely Sensed Vegetation Indices For Monitoring Pasture Condition, Pouria Ramzi, Karen Holmes
The Potential Of Remotely Sensed Vegetation Indices For Monitoring Pasture Condition, Pouria Ramzi, Karen Holmes
Resource management technical reports
The Department of Primary Industries and Regional Development (DPIRD) is developing an integrated monitoring system using remote sensing and on-ground measurements to track pasture condition across Western Australia’s pastoral region. We extended and adapted the methods developed in the Pastoral Lease Assessment Using Geospatial Analysis (PLAGA) project (Robinson et al. 2012), which combined remotely sensed vegetation indices (VIs) with on-ground pasture condition observations to assess the potential of using different vegetation indices in a statewide condition monitoring system.
There were 6 regions in WA’s pastoral rangelands with DPIRD on-ground condition traverse points: Kimberley and Broome, Pilbara, Yalgoo and Sandstone, Goldfields, …
Changes In The Greenland Ice Sheet Of The Southeastern Maniitsoq Coast From 1994-2004 And 2009-2019, Alyssa J. Kaewwilai, Charlie E. Reisman
Changes In The Greenland Ice Sheet Of The Southeastern Maniitsoq Coast From 1994-2004 And 2009-2019, Alyssa J. Kaewwilai, Charlie E. Reisman
Student Publications
Remote sensing mechanisms through the use of technology like the Landsat 5-7 Land Manager satellites are commonly used in conjunction with multispectral methods such as unsupervised classification to record and analyze changes in snow and ice over time in areas such as the Greenland Ice Sheet (GrIS). Unsupervised classification is a method of identifying, grouping, and labeling features in an image according to their spectral values and is therefore a good method of classifying snow and ice in areas such as Greenland. The goal of unsupervised classifications is to assign pixels into potentially meaningful subsurface classes based on similarities of …
Reimagining The Potential Of Earth Observations For Ecosystem Service Assessments, Carlos Ramirez-Reyes, Kate A. Brauman, Rebecca Chaplin-Kramer, Gillian L. Galford, Susana B. Adamo, Christopher B. Anderson, Clarissa Anderson, Ginger R.H. Allington, Kenneth J. Bagstad, Michael T. Coe, Anna F. Cord, Laura E. Dee, Rachelle K. Gould, Meha Jain, Virginia A. Kowal, Frank E. Muller-Karger, Jessica Norriss, Peter Potapov, Jiangxiao Qiu, Jesse T. Rieb, Brian E. Robinson, Leah H. Samberg, Nagendra Singh, Sabrina H. Szeto, Brian Voigt, Keri Watson, T. Maxwell Wright
Reimagining The Potential Of Earth Observations For Ecosystem Service Assessments, Carlos Ramirez-Reyes, Kate A. Brauman, Rebecca Chaplin-Kramer, Gillian L. Galford, Susana B. Adamo, Christopher B. Anderson, Clarissa Anderson, Ginger R.H. Allington, Kenneth J. Bagstad, Michael T. Coe, Anna F. Cord, Laura E. Dee, Rachelle K. Gould, Meha Jain, Virginia A. Kowal, Frank E. Muller-Karger, Jessica Norriss, Peter Potapov, Jiangxiao Qiu, Jesse T. Rieb, Brian E. Robinson, Leah H. Samberg, Nagendra Singh, Sabrina H. Szeto, Brian Voigt, Keri Watson, T. Maxwell Wright
Rubenstein School of Environment and Natural Resources Faculty Publications
The benefits nature provides to people, called ecosystem services, are increasingly recognized and accounted for in assessments of infrastructure development, agricultural management, conservation prioritization, and sustainable sourcing. These assessments are often limited by data, however, a gap with tremendous potential to be filled through Earth observations (EO), which produce a variety of data across spatial and temporal extents and resolutions. Despite widespread recognition of this potential, in practice few ecosystem service studies use EO. Here, we identify challenges and opportunities to using EO in ecosystem service modeling and assessment. Some challenges are technical, related to data awareness, processing, and access. …
Land-Use/Land-Cover Changes And Their Influence On The Ecosystem In Chengdu City, China During The Period Of 1992–2018, Xiaojuan Lin, Min Xu, Chunxiang Cao, Ramesh P. Singh, Wei Chen, Hongrun Ju
Land-Use/Land-Cover Changes And Their Influence On The Ecosystem In Chengdu City, China During The Period Of 1992–2018, Xiaojuan Lin, Min Xu, Chunxiang Cao, Ramesh P. Singh, Wei Chen, Hongrun Ju
Mathematics, Physics, and Computer Science Faculty Articles and Research
Due to urban expansion, economic development, and rapid population growth, land use/land cover (LULC) is changing in major cities around the globe. Quantitative analysis of LULC change is important for studying the corresponding impact on the ecosystem service value (ESV) that helps in decision-making and ecosystem conservation. Based on LULC data retrieved from remote-sensing interpretation, we computed the changes of ESV associated with the LULC dynamics using the benefits transfer method and geographic information system (GIS) technologies during the period of 1992–2018 following self-modified coefficients which were corrected by net primary productivity (NPP). This improved approach aimed to establish a …
Drought And Land-Cover Conditions In The Great Plains, Heather Tollerud, Jesslyn Brown, Thomas Loveland, Rezaul Mahmood, Norman Bliss
Drought And Land-Cover Conditions In The Great Plains, Heather Tollerud, Jesslyn Brown, Thomas Loveland, Rezaul Mahmood, Norman Bliss
HPRCC Personnel Publications
Land–atmosphere interactions play a critical role in the Earth system, and a better understanding of these interactions could improve weather and climate models. The interaction among drought, vegetation productivity, and land cover is of particular significance. In a semiarid environment, such as the U.S. Great Plains, droughts can have a large influence on the productivity of agriculture and grasslands, with serious environmental and economic impacts. Here, we used the vegetation drought response index (VegDRI) drought indicator to investigate the response of vegetation to weather and climate for landcover types in the Great Plains in the United States from 1989 to …
An Automated Approach To Map Winter Cropped Area Of Smallholder Farms Across Large Scales Using Modis Imagery, Meha Jain, Pinki Mondal, Gillian L. Galford, Greg Fiske, Ruth S. Defries
An Automated Approach To Map Winter Cropped Area Of Smallholder Farms Across Large Scales Using Modis Imagery, Meha Jain, Pinki Mondal, Gillian L. Galford, Greg Fiske, Ruth S. Defries
Rubenstein School of Environment and Natural Resources Faculty Publications
Fine-scale agricultural statistics are an important tool for understanding trends in food production and their associated drivers, yet these data are rarely collected in smallholder systems. These statistics are particularly important for smallholder systems given the large amount of fine-scale heterogeneity in production that occurs in these regions. To overcome the lack of ground data, satellite data are often used to map fine-scale agricultural statistics. However, doing so is challenging for smallholder systems because of (1) complex sub-pixel heterogeneity; (2) little to no available calibration data; and (3) high amounts of cloud cover as most smallholder systems occur in the …
Do Insect Outbreaks Reduce The Severity Of Subsequent Forest Fires?, Garrett W. Meigs, Harold S.J. Zald, John L. Campbell, William S. Keeton, Robert E. Kennedy
Do Insect Outbreaks Reduce The Severity Of Subsequent Forest Fires?, Garrett W. Meigs, Harold S.J. Zald, John L. Campbell, William S. Keeton, Robert E. Kennedy
Rubenstein School of Environment and Natural Resources Faculty Publications
Understanding the causes and consequences of rapid environmental change is an essential scientific frontier, particularly given the threat of climate- and land use-induced changes in disturbance regimes. In western North America, recent widespread insect outbreaks and wildfires have sparked acute concerns about potential insect-fire interactions. Although previous research shows that insect activity typically does not increase wildfire likelihood, key uncertainties remain regarding insect effects on wildfire severity (i.e., ecological impact). Recent assessments indicate that outbreak severity and burn severity are not strongly associated, but these studies have been limited to specific insect or fire events. Here, we present a regional …
The Amazon Frontier Of Land-Use Change: Croplands And Consequences For Greenhouse Gas Emissions, Gillian L. Galford, Jerry Melillo, John F. Mustard, Carlos E.P. Cerri, Carlos C. Cerri
The Amazon Frontier Of Land-Use Change: Croplands And Consequences For Greenhouse Gas Emissions, Gillian L. Galford, Jerry Melillo, John F. Mustard, Carlos E.P. Cerri, Carlos C. Cerri
Rubenstein School of Environment and Natural Resources Faculty Publications
The Brazilian Amazon is one of the most rapidly developing agricultural frontiers in the world. The authors assess changes in cropland area and the intensification of cropping in the Brazilian agricultural frontier state of Mato Grosso using remote sensing and develop a greenhouse gas emissions budget. The most common type of intensification in this region is a shift from single-to double-cropping patterns and associated changes in management, including increased fertilization. Using the enhanced vegetation index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, the authors created a green-leaf phenology for 2001-06 that was temporally smoothed with a wavelet filter. …
Slides: Water Needs And Strategies For A Sustainable Future, Shaun Mcgrath
Slides: Water Needs And Strategies For A Sustainable Future, Shaun Mcgrath
Shifting Baselines and New Meridians: Water, Resources, Landscapes, and the Transformation of the American West (Summer Conference, June 4-6)
Presenter: Shaun McGrath, Program Director, Western Governors’ Association
25 slides