Mapping Agewise Discrimination of Arecanut Crop Water Requirement Using Hyperspectral Remote Sensing
نویسندگان
چکیده
منابع مشابه
Road Condition Mapping with Hyperspectral Remote Sensing
1. Introduction The quality standards for transportation infrastructure have evolved considerably over the last three decades. The data accuracy requirements to support road management have decreased from tens of meters to a few decimeters with annual update rates. Roads are prioritized for maintenance and treatment as a result of pavement inspections. The cost of frequent, comprehensive inspec...
متن کاملEstimating canopy water content using hyperspectral remote sensing data
Hyperspectral remote sensing has demonstrated great potential for accurate retrieval of canopy water content (CWC). This CWC is defined by the product of the leaf equivalent water thickness (EWT) and the leaf area index (LAI). In this paper, in particular the spectral information provided by the canopy water absorption feature at 970 nm for estimating and predicting CWC was studied using a mode...
متن کاملHyperspectral Remote Sensing
The term hyperspectral is used to refer to spectra consisting of large number of narrow, contiguously spaced spectral bands. In the field of remote sensing, the term hyperspectral is also used interchangeably with other terms such as spectroscopy, spectrometry, spectroradiometry and rarely ultraspectral. Spectroscopy is a branch of physics concerned with the production, transmission, measuremen...
متن کاملHyperspectral Remote Sensing
Hyperspectral remote sensing (HRS) and imaging spectroscopy (IS) are the same technologies that provide detailed spectral information for individual pixels of an image. While HRS refers mostly to remote sensing (from a distance), the emerging IS technology covers wide spatial–spectral domains, frommicroscopic to macroscopic HRS/IS. IS is an innovative development of the charge-coupled device (C...
متن کاملNonlocal Total Variation Subpixel Mapping for Hyperspectral Remote Sensing Imagery
Ruyi Feng 1,2, Yanfei Zhong 1,2,*, Yunyun Wu 3, Da He 1,2, Xiong Xu 4 and Liangpei Zhang 1,2 1 State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China; [email protected] (R.F.); [email protected] (D.H.); [email protected] (L.Z.) 2 Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, Chin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Aquatic Procedia
سال: 2015
ISSN: 2214-241X
DOI: 10.1016/j.aqpro.2015.02.186