spectroradiometer fieldspec handheld 2 (Analytical Spectral Devices Inc)
90
Structured Review
Analytical Spectral Devices Inc
spectroradiometer fieldspec handheld 2
Spectroradiometer Fieldspec Handheld 2, supplied by Analytical Spectral Devices Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fieldspec+handheld+spectroradiometer/fieldspec+handheld+spectroradiometer/10__1134_slash_s1021443724605536-54-17-21
Average 90 stars, based on 1 article reviews
Spectroradiometer Fieldspec Handheld 2, supplied by Analytical Spectral Devices Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fieldspec+handheld+spectroradiometer/fieldspec+handheld+spectroradiometer/10__1134_slash_s1021443724605536-54-17-21
Average 90 stars, based on 1 article reviews
spectroradiometer fieldspec handheld 2 - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Nondestructive determination of leaf chlorophyll content in two flowering cherries using reflectance and absorptance spectra Article Snippet: Reflectance and absorptance spectra of leaves at wavelengths ranging from 325 to 1,075 nm were measured using the Article Title: Applying image transformation and classification techniques to airborne hyperspectral imagery for mapping Ashe juniper infestations Article Snippet: Applying image transformation and classification techniques to airborne hyperspectral imagery for mapping Ashe juniper infestations Chenghai Yang a , J. H. Everitt a & H. B. Johnson b a USDA‐ARS , Kika de la Garza Subtropical Agricultural Research Center , 2413 E. Highway 83, Weslaco, TX 78596, USA b USDA‐ARS , Grassland Soil and Water Research Laboratory , Temple, TX 78502, USA Published online: 22 Jun 2009. Article Title: Airborne Hyperspectral Imagery for Mapping Crop Yield Variability Article Snippet: Information concerning the spatial variation in crop yield has become necessary for site-specific crop management.. Traditional satellite imagery has long been used to monitor crop growing conditions and to estimate crop yields over large geographic areas.. However, this type of imagery has limited use for assessing within-field yield variability because of its coarse spatial resolution. Article Title: Estimating cabbage physical parameters using remote sensing technology Article Snippet: Remote sensing has long been used as a tool to extract plant growth and yield information for many crops, but little research has been conducted on cabbage (Brassica oleracea var. capitata L.) with this technology.. The objective of this study was to evaluate aerial photography and field reflectance spectra for estimating cabbage physical parameters.. An experiment was conducted on a cabbage field with 81 experimental plots to which different insecticide treatments were applied. Article Title: An Enhanced Three-Band Index for Estimating Chlorophyll-a in Turbid Case-II Waters: Case Studies of Lake Kasumigaura, Japan, and Lake Dianchi, China Article Snippet: The water-leaving radiance (Lu(λ)), the downward irradiance (Ed(λ)), and the downward radiance of skylight (Lsky(λ)) were measured at each site using a Sampling:Article Title: Yield Estimation from Hyperspectral Imagery Using Spectral Angle Mapper (SAM) Article Snippet: Vegetation indices (VIs) derived from remotely sensed imagery are commonly used to estimate crop yields.. Spectral angle mapper (SAM) provides an alternative approach to quantifying the spectral differences among all pixels in an image and therefore has the potential for mapping yield variability.. The objective of this study was to apply the SAM technique to airborne hyperspectral imagery for mapping yield variability. Article Title: Airborne hyperspectral imagery and linear spectral unmixing for mapping variation in crop yield Article Snippet: Spectral unmixing techniques can be used to quantify crop canopy cover within each pixel of an image and have the potential for mapping the variation in crop yield.. This study applied linear spectral unmixing to airborne hyperspectral imagery to estimate the variation in grain sorghum yield.. Airborne hyperspectral imagery and yield monitor data recorded from two sorghum fields were used for this study. Infection:Article Title: Comparison of airborne multispectral and hyperspectral imagery for mapping cotton root rot Article Snippet: * Corresponding author.. Tel.. : þ1 956 969 483 E-mail address: chenghai.yang@ars.usda 1537-5110/$ e see front matter Published by doi:10.1016/j.biosystemseng.2010.07.011 Cotton root rot, caused by the soilborne fungus Phymatotrichum omnivorum, is a major cotton disease in the south western and south central United States. |