Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe.
about
Intensive ground vegetation growth mitigates the carbon loss after forest disturbance.Natural disturbances are spatially diverse but temporally synchronized across temperate forest landscapes in Europe.Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery.Patterns and drivers of recent disturbances across the temperate forest biomeActual European forest management by region, tree species and owner based on 714,000 re-measured trees in national forest inventories
P2860
Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Using Landsat time series for ...... ral systems of Central Europe.
@en
type
label
Using Landsat time series for ...... ral systems of Central Europe.
@en
prefLabel
Using Landsat time series for ...... ral systems of Central Europe.
@en
P2860
P1476
Using Landsat time series for ...... ural systems of Central Europe
@en
P2093
Cornelius Senf
Patrick Hostert
P2860
P304
P356
10.1016/J.ISPRSJPRS.2017.07.004
P577
2017-08-01T00:00:00Z