INIS
data
100%
forests
79%
vegetation
74%
maps
60%
ecosystems
58%
remote sensing
52%
canopies
44%
chile
43%
modeling
40%
carbon
38%
peatlands
36%
comparative evaluations
34%
satellites
33%
prediction
27%
spectroscopy
27%
neural networks
27%
communities
26%
height
26%
mapping
25%
learning
24%
randomness
23%
indicators
21%
accuracy
21%
soils
21%
radiative transfer
19%
classification
19%
range
19%
stocks
19%
levels
19%
fires
19%
lidar
18%
biodiversity
16%
distribution
16%
monitoring
15%
unmanned aerial vehicles
15%
equations
15%
spatial resolution
15%
information
14%
pools
14%
wetlands
13%
performance
13%
biomass
13%
land use
13%
water
13%
errors
12%
sampling
12%
variations
12%
droughts
11%
altitude
11%
assessments
11%
Keyphrases
Peatland
27%
Satellite Data
27%
Sentinel-2
21%
Random Forest
19%
Central Chile
18%
Vascular Plant Species
18%
Temperate Rainforest
18%
Generalized Linear Model
18%
Climate Change Impacts
18%
UAV
17%
Remote Sensing Data
15%
Partial Least Squares Structural Equation Modeling (PLS-SEM)
15%
Chile
14%
Pinus Radiata
12%
Root Mean Square Error
12%
Sentinel-2 Data
12%
Species Cover
12%
Series Analysis
12%
Vegetation Type
11%
Southern South America
11%
Field Sampling
11%
C Stocks
10%
Plant Species
10%
Vehicle Data
10%
Species Richness
10%
Land Use Change
10%
Invasive Plant Species
10%
Model Calibration
10%
Evapotranspiration
9%
Vehicle-based
9%
Remote Sensing
9%
Vegetation Attributes
9%
Ground Vegetation
9%
Imaging Spectroscopy
9%
Nitrogen Stock
9%
Abiotic Drivers
9%
Biotic Drivers
9%
Carbon-nitrogen
9%
Phosphorus Stocks
9%
P Stocks
9%
Forest Degradation
9%
Deforestation
9%
Landscape Level
9%
Carbon Stock
9%
Process Performance Indicators
9%
LiDAR Data
9%
Remotely Sensed Phenology
9%
Optical Data
9%
WorldView-2
9%
Mixed Grassland
9%
Earth and Planetary Sciences
Vegetation
69%
Remote Sensing
45%
Chile
28%
Peatland
27%
Plant Specie
23%
South America
18%
Sentinel-2
13%
Forest Ecosystem
13%
Vegetation Type
13%
Grassland
12%
Root-Mean-Square Error
12%
Time Series Analysis
12%
Invasive Species
12%
Vascular Plant
10%
Growing Season
10%
High Spatial Resolution
10%
Annual Variation
10%
Carbon Sink
10%
Satellite Data
9%
Pilotless Aircraft
9%
Andes
9%
Image Analysis
9%
Plant Community
9%
Aridity
9%
Ecosystem Degradation
9%
Mediterranean Forest
9%
Land Use Change
9%
Water Use Efficiency
9%
Water Flux
9%
Information Retrieval
9%
Optical Property
9%
Altitude
9%
Carotenoid
9%
Continent
9%
Climate Change Impact
9%
Aboveground Biomass
8%
Climate Change
8%
Time Series
7%
Change Detection
7%
Land Use
7%
Leaf Area
7%
Evapotranspiration
6%
Epiphyte
5%
Global Change
5%
Ecosystem Service
5%
Vegetation Cover
5%
Shrubland
5%
