Book Chapters
Science Quality and Integrity
The USGS provides unbiased, objective, and impartial scientific information upon which our audiences, including resource managers, planners, and other entities, rely.
The USGS provides unbiased, objective, and impartial scientific information upon which our audiences, including resource managers, planners, and other entities, rely.
Browse more than 5,500 book chapters authored by our scientists over the past 100+ year history of the USGS and refine search by topic, location, year, and advanced search.
Filter Total Items: 6158
Hyperspectral analysis of rocky surfaces on the Earth and other planetary systems: Chapter 27 Hyperspectral analysis of rocky surfaces on the Earth and other planetary systems: Chapter 27
This book is focused on studies of vegetation on Earth using hyperspectral remote sensing methods. However, it is appropriate to extend the application of these methods out to other rocky bodies in our Solar System for a variety of reasons. First, minerals, soils, and rocks form the substrate on which vegetation grows on Earth. Compositional analyses of these components with...
Authors
R. Greg Vaughan, Timothy N. Titus, Jeffery R Johnson, Justin Hagerty, Lisa R. Gaddis, Laurence A. Soderblom, Paul E. Geissler
Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research
The focus of this chapter was to summarize the advances made over last 40+ years, as reported in various chapters of this book, in understanding, modeling, and mapping terrestrial vegetation using hyperspectral remote sensing (or imaging spectroscopy) using sensors that are ground-based, truck-mounted, airborne, and spaceborne. As we have seen in various chapters of this book and...
Authors
Prasad S. Thenkabail, John G. Lyon, Alfredo Huete
Hyperspectral remote sensing tools for quantifying plant litter and invasive species in arid ecosystems Hyperspectral remote sensing tools for quantifying plant litter and invasive species in arid ecosystems
Green vegetation can be monitored and distinguished using visible and infrared multiband and hyperspectral remote sensing methods. The problem has been in identifying and distinguishing the nonphotosynthetically active radiation (PAR) landscape components, such as litters and soils, from green vegetation [35-38]. Additionally, distinguishing different species of green vegetation is...
Authors
Pamela L. Nagler, B. B. Maruthi Sridhar, Aaryn Dyami Olsson, Edward P. Glenn, Willem van Leeuwen
Inference for occupancy and occupancy dynamics Inference for occupancy and occupancy dynamics
This chapter deals with the estimation of occupancy as a state variable to assess the status of, and track changes in, species distributions when sampling with camera traps. Much of the recent interest in occupancy estimation and modeling originated from the models developed by MacKenzie et al. (2002, 2003), although similar methods were developed independently (Azuma et al. 1990; Bayley...
Authors
Allan F. O’Connell, Larissa L. Bailey
Influences of environmental and anthropogenic features on greater sage-grouse populations, 1997-2007 Influences of environmental and anthropogenic features on greater sage-grouse populations, 1997-2007
The Greater Sage-Grouse (Centrocercus urophasianus), endemic to western North Amer-ica, is of great conservation interest. Its popula-tions are tracked by spring counts of males at lek sites. We explored the relations between trends of Greater Sage-Grouse lek counts from 1997 to 2007 and a variety of natural and anthropogenic fea-tures. We found that trends were correlated with several...
Authors
Douglas H. Johnson, Matthew J. Holloran, John W. Connelly, Steven E. Hanser, Courtney L. Amundson, Steven T. Knick
Influences of the human footprint on sagebrush landscape patterns: Implications for sage-grouse conservation Influences of the human footprint on sagebrush landscape patterns: Implications for sage-grouse conservation
Spatial patterns influence the processes that maintain Greater Sage-Grouse (Centrocercus urophasianus) populations and sagebrush (Artemisia spp.) landscapes on which they depend. We used connectivity analyses to: (1) delineate the dominant pattern of sagebrush landscapes; (2) identify regions of the current range-wide distribution of Greater Sage-Grouse important for conservation; (3)...
Authors
Matthias Leu, Steven E. Hanser
Integration of remote sensing and in situ ecology for the design and evaluation of marine-protected areas: examples from tropical and temperate ecosystems: Chapter 13 Integration of remote sensing and in situ ecology for the design and evaluation of marine-protected areas: examples from tropical and temperate ecosystems: Chapter 13
No abstract available.
Authors
Alan M. Friedlander, L.M. Wedding, Jennifer E. Caselle, Bryan M. Costa
Introduction Introduction
Ecotoxicology is the study of the movement of environmental contaminants through ecosystems and their effects on plants and animals. Examining tissue residues of these contaminants in biota is basic to ecotoxicology, both for understanding the movement of contaminants within organisms and through food chains, and for understanding and quantifying injuries to organisms and their...
Authors
W. Nelson Beyer, James P. Meador
Introduction Introduction
The National Coal Resource Assessment (NCRA) team of the U.S. Geological Survey (USGS) has assessed the quantity and quality of coal beds and zones that could be mined during the next 20 years or more. Geologic, geochemical, and resource information was collected and compiled for the five major coal-producing regions of the United States: the Appalachian Basin, Illinois Basin, Northern...
Authors
Peter D. Warwick, Robert W. Hook, John R. SanFilipo
Introduction; Concluding remarks Introduction; Concluding remarks
No abstract available.
Authors
Jari Niemela, Jiirgen Breuste, Thomas Elmqvist, Glenn R. Guntenspergen, Philip James, Nancy McIntyre
Inverse modeling with RZWQM2 to predict water quality Inverse modeling with RZWQM2 to predict water quality
This chapter presents guidelines for autocalibration of the Root Zone Water Quality Model (RZWQM2) by inverse modeling using PEST parameter estimation software (Doherty, 2010). Two sites with diverse climate and management were considered for simulation of N losses by leaching and in drain flow: an almond [Prunus dulcis (Mill.) D.A. Webb] orchard in the San Joaquin Valley, California and...
Authors
Bernard T. Nolan, Robert W. Malone, Liwang Ma, Christopher T. Green, Michael N. Fienen, Dan B. Jaynes