Add to ORKGApplication of two regression-based methods to estimate the effects of partial harvest on forest structure using Landsat dat
Reducing forest covered areas and changing it to pasture, agricultural, urban and rural areas is per...
One of the problems of Zagros forests is the phenomenon of oak dieback, that its control is one of t...
Report of research performed under the auspices of the Forestry Remote Sensing Laboratory, School of...
Empirical models are important tools for relating field-measured biophysical variables to remote sen...
Abstract:- Area estimates using remotely sensed data is an important subject that has been investiga...
AbstractEstimation of forest attributes using remotely sensed data has being as a new potential for ...
Regression modeling and mapping of coniferous forest basal area and tree density from discrete-retur...
This Dataverse remains anonymous for blind review process of "Constrained Functional Regression of N...
The increasing use of satellite Remote Sensing for civilian use has proved to be the most cost effec...
The aim of the study is to (i) evaluate a method, based on the normalized difference vegetation inde...
This thesis describes the localisation and quantification of deforestation and forest damage in Norw...
Improved monitoring of forest biomass is needed to quantify natural and anthropogenic effects on the...
Graduation date: 2012Access restricted to the OSU Community at author's request from Nov. 29, 2011 -...
The leaf area index (LAI) of plant canopies is an important structural variable for assessing terres...
Detection of forest damage is one of the various remote sens-ing applications complicated by topogra...
Reducing forest covered areas and changing it to pasture, agricultural, urban and rural areas is per...
One of the problems of Zagros forests is the phenomenon of oak dieback, that its control is one of t...
Report of research performed under the auspices of the Forestry Remote Sensing Laboratory, School of...
Empirical models are important tools for relating field-measured biophysical variables to remote sen...
Abstract:- Area estimates using remotely sensed data is an important subject that has been investiga...
AbstractEstimation of forest attributes using remotely sensed data has being as a new potential for ...
Regression modeling and mapping of coniferous forest basal area and tree density from discrete-retur...
This Dataverse remains anonymous for blind review process of "Constrained Functional Regression of N...
The increasing use of satellite Remote Sensing for civilian use has proved to be the most cost effec...
The aim of the study is to (i) evaluate a method, based on the normalized difference vegetation inde...
This thesis describes the localisation and quantification of deforestation and forest damage in Norw...
Improved monitoring of forest biomass is needed to quantify natural and anthropogenic effects on the...
Graduation date: 2012Access restricted to the OSU Community at author's request from Nov. 29, 2011 -...
The leaf area index (LAI) of plant canopies is an important structural variable for assessing terres...
Detection of forest damage is one of the various remote sens-ing applications complicated by topogra...
Reducing forest covered areas and changing it to pasture, agricultural, urban and rural areas is per...
One of the problems of Zagros forests is the phenomenon of oak dieback, that its control is one of t...
Report of research performed under the auspices of the Forestry Remote Sensing Laboratory, School of...