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ANALYSING RELATIONSHIPS BETWEEN URBAN LAND USE FRAGMENTATION METRICS AND SOCIO-ECONOMIC VARIABLES
Urban atlas Urban audit LULC Urban fragmentation Landscape metrics Socio-economic variables Europe
2016/12/1
Analysing urban regions is essential for their correct monitoring and planning. This is mainly accounted for the sharp increase of people living in urban areas, and consequently, the need to manage th...
FOREST TREE SPECIES DISTRIBUTION MAPPING USING LANDSAT SATELLITE IMAGERY AND TOPOGRAPHIC VARIABLES WITH THE MAXIMUM ENTROPY METHOD IN MONGOLIA
Tree species mapping Landsat imagery Maximum Entropy Terrain variable Mongolia
2016/11/30
Forest is a very important ecosystem and natural resource for living things. Based on forest inventories, government is able to make decisions to converse, improve and manage forests in a sustainable ...
ANALYSIS OF THE SIDE-LAP EFFECT ON FULL-WAVEFORM LIDAR DATA ACQUISITION FOR THE ESTIMATION OF FOREST STRUCTURE VARIABLES
LiDAR full-waveform overlap stripe differences density changes forest structure canopy fuel comparison of paired samples
2016/11/30
LiDAR full-waveform provides a better description of the physical and forest vertical structure properties than discrete LiDAR since it registers the full wave that interacts with the canopy. In this ...
PHENOLOGY ANALYSIS OF FOREST VEGETATION TO ENVIRONMENTAL VARIABLES DURING PRE- AND POST-MONSOON SEASONS IN WESTERN HIMALAYAN REGION OF INDIA
NDVI time series NDVIchange Landsat
2016/7/8
To assess the phenological changes in Moist Deciduous Forest (MDF) of western Himalayan region of India, we carried out NDVI time series analysis from 2013 to 2015 using Landsat 8 OLI data. We used th...
A Fully Polynomial Approximation Scheme for Approximating a Sum of Random Variables
Threshold probability Tail probability Approximate counting Counting knapsack FPTAS
2016/1/22
Given n independent integer-valued random variables X 1 , X 2 ,..., X n and an integer C, we study the fundamental problem of computing the probability that the sum X = X 1 + X 2 +···+ X n is at most ...
RETRIEVALS OF CANOPY BIOPHYSICAL VARIABLES USING MULTI-TEMPORAL REMOTE SENSING DATA
Remote Sensing Retrieval Leaf area index Multi-temporal
2015/12/31
The integrated application of multi-source and multi-temporal remote sensing data is the trend of remote sensing application research, and it is also the practical need to solve the inversion problem ...
SPECTRO-DIRECTIONAL CHRIS/PROBA DATA OVER TWO SWISS TEST SITES FOR IMPROVED ESTIMATION OF BIOPHYSICAL AND–CHEMICAL VARIABLES–FIVE YEARS OF ACTIVITIES
Ecosystem Hyperspectral Vegetation Modelling Monitoring Retrieval Spectral Observations
2015/12/30
The spaceborne ESA-mission CHRIS (Compact High Resolution Imaging Spectrometer) on-board PROBA-1 (Project for On-board Autonomy) delivers multi-directional data sets that contain spectral, directional...
THE UTILITY OF LIDAR FOR RECOVERING ECOLOGICAL VARIABLES
LIDAR Ecology Vegetation Return Intensity Landscape Point Cloud
2015/12/29
The results of an investigation of the utility of LiDAR (Light Detection and Ranging) for recovering ecological variables are detailed. Mean LiDAR intensity and standard deviation of intensity were ca...
USE OF CONTINGENCY TABLES TO VALUE VARIABLES FOR SPATIAL MODELS
data mining contingency tables spatial modeling risk model fire&rescue services
2015/9/28
An expressive and comprehensive situation picture is necessary for a reliable decision making in various application fields. The domain knowledge, however, is often too complex to be handled individua...
Optimal Instrumental Variables Estimation for ARMA Models
ARMA conditional heteroskedasticity instrumental variables
2015/9/22
In this paper a new class of Instrumental Variables estimators for linear processes
and in particular ARMA models is developed. Previously, IV estimators based on lagged
observations as instruments ...
EFFECT OF CULTIVAR SPECIFICITIES ON THE RADIOMETRIC RESPONSE: QUANTIFICATION AND CONSEQUENCES FOR BIOPHYSICAL VARIABLES ESTIMATION IN WHEAT CROPS
quantification consequences
2015/9/9
Evaluation of new agricultural cultivars developed by plant breeders is a long and expansive
process. Traditional methods based on field measurements over series of micro-plots are very
time-consumi...
Radiative transfer modelling and the retrieval of biophysical variables
Radiation transfer modelling multi-angular observations bio- geophysical variable extraction
2015/9/2
Natural surfaces, such as vegetation and soil, do not - as a rule - reflect incident solar radiation equally in all directions. This
reflectance anisotropy is formally described by a Bidirectional Re...
Spatial Prediction of Some Biological Forest Variables by Terrain Analysis – the Kheiroud-Kenar Forest, North of Iran
Forest variables Spatial prediction Terrain analysis
2015/8/28
This research conducted to evaluate spatial pattern of some biological variables (mean diameter, density, richness index and biodiversity
index) of forest by linear regression models using terrain an...
Deriving regional scale forest structural variables using eo-1 hyperion data in combination with an inverted geometric-optical model
EO-1 Hyperion Forest structural variable Geometric-optical model
2015/8/20
The potential of EO-1 Hyperion data combined with an inverted geometric-optical model for the retrieval of forest structural
variables in the Longmenhe broadleaved forest natural reserve, located in ...
URBAN MODIFICATIONS IN A MESOSCALE METEOROLOGICAL MODEL AND THE EFFECTS ON NEAR SURFACE VARIABLES IN AN ARID METROPOLITAN REGION
Mesoscale Model Urban Land Use/Cover Remote Sensing Urban Heat Island
2015/8/3
A refined land cover classification for the arid Phoenix (Arizona, USA) metropolitan area and some simple modifications to the surface energetics were introduced in the fifth-generation PSU/NCAR mesos...