Add to ORKGMaster of Science (MS)Remote SensingUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/115572/1/39015003272963.pd
Based on remote sensing data, it is possible to create a real-time database of agricultural sectors ...
The River Raisin watershed, which spans southeastern Michigan and northwestern Ohio, is a hotspot f...
Hyperspectral sensors are devices that acquire images with narrow bands (less than 20nm) with contin...
Master of ScienceRemote SensingUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42...
Copyright © 2013 Sayed M. Arafat et al. This is an open access article distributed under the Creativ...
Remote sensing and microscopy share several common concerns including wavelength and sensor selectio...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN046292 / BLDSC - British Library D...
Estimates of crop development stage by remote sensing techniques are potentially more cost effective...
In agriculture, a major benefit of satellite registrations crop is forecast problem by following up ...
Hyperspectral remote sensing combined with advanced image processing techniques is an efficient tool...
The main goal of this paper was to establish the best hyperspectral narrowbands for discriminating a...
The present study was undertaken with the objective to check effectiveness of spectral similarity me...
Typescript (photocopy).Due to inadequate crop acreage and biomass estimates using satellite and airc...
Mapping accurately agricultural fields is one of the main challenges for monitoring areas using remo...
161 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.Unsupervised clustering of co...
Based on remote sensing data, it is possible to create a real-time database of agricultural sectors ...
The River Raisin watershed, which spans southeastern Michigan and northwestern Ohio, is a hotspot f...
Hyperspectral sensors are devices that acquire images with narrow bands (less than 20nm) with contin...
Master of ScienceRemote SensingUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42...
Copyright © 2013 Sayed M. Arafat et al. This is an open access article distributed under the Creativ...
Remote sensing and microscopy share several common concerns including wavelength and sensor selectio...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN046292 / BLDSC - British Library D...
Estimates of crop development stage by remote sensing techniques are potentially more cost effective...
In agriculture, a major benefit of satellite registrations crop is forecast problem by following up ...
Hyperspectral remote sensing combined with advanced image processing techniques is an efficient tool...
The main goal of this paper was to establish the best hyperspectral narrowbands for discriminating a...
The present study was undertaken with the objective to check effectiveness of spectral similarity me...
Typescript (photocopy).Due to inadequate crop acreage and biomass estimates using satellite and airc...
Mapping accurately agricultural fields is one of the main challenges for monitoring areas using remo...
161 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.Unsupervised clustering of co...
Based on remote sensing data, it is possible to create a real-time database of agricultural sectors ...
The River Raisin watershed, which spans southeastern Michigan and northwestern Ohio, is a hotspot f...
Hyperspectral sensors are devices that acquire images with narrow bands (less than 20nm) with contin...