Integrating remotely sensed and ancillary data sources to characterize a mountain pine beetle infestation
about
Complementarity in the provision of ecosystem services reduces the cost of mitigating amplified natural disturbance events.Monitoring powdery mildew of winter wheat by using moderate resolution multi-temporal satellite imagery.Penalized regression techniques for prediction: a case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and TimeMapping Mountain Pine Beetle Mortality through Growth Trend Analysis of Time-Series Landsat DataInvestigating the effectiveness of Mountain Pine Beetle mitigation strategiesMultitemporal remote sensing of landscape dynamics and pattern change: describing natural and anthropogenic trends
P2860
Integrating remotely sensed and ancillary data sources to characterize a mountain pine beetle infestation
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована в листопаді 2006
@uk
name
Integrating remotely sensed an ...... untain pine beetle infestation
@en
Integrating remotely sensed an ...... untain pine beetle infestation
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type
label
Integrating remotely sensed an ...... untain pine beetle infestation
@en
Integrating remotely sensed an ...... untain pine beetle infestation
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Integrating remotely sensed an ...... untain pine beetle infestation
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Integrating remotely sensed an ...... untain pine beetle infestation
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P50
P1476
Integrating remotely sensed an ...... untain pine beetle infestation
@en
P356
10.1016/J.RSE.2006.06.007
P577
2006-11-01T00:00:00Z