Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Spectral Estimates of Crop Residue Cover and Density for Standing and Flat Wheat Stubble
by
Aguilar, Jonathan
, Vigil, Merle
, Evans, Robert
, Daughtry, Craig S.T
in
Agronomy. Soil science and plant productions
/ Biological and medical sciences
/ carbon
/ Colorado
/ Cover crops
/ Crop residues
/ data collection
/ erosion control
/ Fundamental and applied biological sciences. Psychology
/ hyperspectral imagery
/ Landsat
/ landscapes
/ Montana
/ Oregon
/ Panicum miliaceum
/ planning
/ remote sensing
/ soil water storage
/ stubble
/ Triticum aestivum
/ Washington
/ winter wheat
2012
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Spectral Estimates of Crop Residue Cover and Density for Standing and Flat Wheat Stubble
by
Aguilar, Jonathan
, Vigil, Merle
, Evans, Robert
, Daughtry, Craig S.T
in
Agronomy. Soil science and plant productions
/ Biological and medical sciences
/ carbon
/ Colorado
/ Cover crops
/ Crop residues
/ data collection
/ erosion control
/ Fundamental and applied biological sciences. Psychology
/ hyperspectral imagery
/ Landsat
/ landscapes
/ Montana
/ Oregon
/ Panicum miliaceum
/ planning
/ remote sensing
/ soil water storage
/ stubble
/ Triticum aestivum
/ Washington
/ winter wheat
2012
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Spectral Estimates of Crop Residue Cover and Density for Standing and Flat Wheat Stubble
by
Aguilar, Jonathan
, Vigil, Merle
, Evans, Robert
, Daughtry, Craig S.T
in
Agronomy. Soil science and plant productions
/ Biological and medical sciences
/ carbon
/ Colorado
/ Cover crops
/ Crop residues
/ data collection
/ erosion control
/ Fundamental and applied biological sciences. Psychology
/ hyperspectral imagery
/ Landsat
/ landscapes
/ Montana
/ Oregon
/ Panicum miliaceum
/ planning
/ remote sensing
/ soil water storage
/ stubble
/ Triticum aestivum
/ Washington
/ winter wheat
2012
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Spectral Estimates of Crop Residue Cover and Density for Standing and Flat Wheat Stubble
Journal Article
Spectral Estimates of Crop Residue Cover and Density for Standing and Flat Wheat Stubble
2012
Request Book From Autostore
and Choose the Collection Method
Overview
Crop residue is important for erosion control, soil water storage, filling gaps in various agroecosystem-based modeling, and sink for atmospheric carbon. The use of remote sensing technology provides a fast, objective, and efficient tool for measuring and managing this resource. The challenge is to distinguish the crop residue from the soil and effectively estimate the residue cover across a variety of landscapes. The objective of this study is to assess a select Landsat Thematic Mapper (TM) and hyperspectral-based indices in estimating crop residue cover and amount for both standing and laid flat, and between two winter wheat (Triticum aestivum L.) harvest managements (i.e., stripper-header and conventional header) and fallow following proso-millet (Panicum miliaceum L.) plots. The primary plots were located in Colorado with additional plots in eastern Montana, Oregon, and Washington states. Data collected include hyperspectral scans, crop residue amount (by weight) and residue cover (by photo-grid). Mean analyses, correlation tests, and spectral signature comparison show that the relative position of the crop residues affected the values of some remote sensing indices more than harvest management. Geographical location did not seem to influence the results. There was not enough evidence to support the use of these indices to accurately estimate the amount of residue. Hyperspectral data may deliver better estimates, but in its absence, the use of two or more of these datasets might improve the estimation of residue cover. This information will be useful in guiding analysis of remotely sensed data and in planning data acquisition programs for crop residue, which are essentially nonexistent at present.
Publisher
American Society of Agronomy,The American Society of Agronomy, Inc
MBRLCatalogueRelatedBooks
Related Items
Related Items
We currently cannot retrieve any items related to this title. Kindly check back at a later time.
This website uses cookies to ensure you get the best experience on our website.