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Digital Landscape Model DLM-DE - Deriving land cover information by integration of topographic reference data with remote sensing data
Digital Landscape Model Land Cover Mapping Semantic Transformation Interoperability
2016/1/25
Within the surrounding frameworks of the programme Global Monitoring for Environment and Security (GMES) (EEA, 2006) and
the Directive for the Infrastructure for Spatial Information in the European ...
Detailed Digital Surface Model (DSM) Generation and Automatic Object Detection to Facilitate Modelling of Urban Flooding
LIDAR DSM surface runoff Object Detection Surface Characterization
2016/1/25
This paper investigates the necessity of detailed surface representation in order to generate a feasible platform for the detailed
simulation of urban runoff and surface flooding caused by heavy rai...
DEVELOPMENT OF HIGH RESOLUTION 3D SOUND PROPAGATION MODEL USING LIDAR DATA AND AIR PHOTO
Laser altimetry 3D modelling Aerial image Clustering Extraction
2016/1/3
Prediction of sound level of real world environment in 3D is important for managing noise pollution, urban planning, virtual realization of sound etc. Commercially available semi-empirical sound model...
NEURAL NETWORK-BASED ANALYTICAL MODEL FOR BIOMASS ESTIMATION IN POYANG LAKE WETLAND USING ENVISAT ASAR DATA
biomass sar wetland monitoring
2016/1/3
Poyang Lake is the largest freshwater lake in China with an area of about 3,000 km2. Its wetland ecosystem has a significant impact on China' s environment change. Traditional way to monitor biomass c...
THE ROLE OF SPATIAL METRICS ON THE PERFORMANCE OF AN ARTIFICIAL NEURAL-NETWORK BASED MODEL FOR LAND USE CHANGE
Multispectral Remote Sensing Landscape Metrics Spatial Modelling Land use mapping Spatial Analysis Landsat Image Change Detection
2016/1/3
The present study examines the role of spatial metrics in the performance of a previously developed ANN model for predicting land use/cover changes. The model outputs are validated against a land-use ...
GENERALIZED MODEL FOR REMOTELY SENSED DATA PIXEL-LEVEL FUSION
Remotely Sensed Data Fusion Generalized Model Implementation PCA
2015/12/31
A generalized model characterizing most remotely sensed data pixel-level fusion techniques is very important for theoretical analysis and applications. This paper focuses on the establishment of a gen...
AN IMPROVED ENDMEMBER EXTRACTION ALGORITHM BY INVERSING LINEAR MIXING MODEL
Hyperspectral Remote Sensing Spectral Indices Image Understanding Simulation Extrapolation
2015/12/31
In hyperspectral imagery there are some cases when no pure pixels present due to the limitation of the sensors' space resolution and the complexity of the ground components, and then the endmembers ex...
ICA BASED MODEL FOR EXTRACTING INFORMATION OF CONTAMINATIVE SOIL FROM HYPERION DATA
Hyper spectral Entropy Image understanding Feature extraction Environment Modelling
2015/12/31
This article discusses the influence of soil contamination on plants, particularly on the influence of vegetation spectral characteristics. Based on the analysis of healthy and contaminated vegetation...
RADAR AND LIDAR SYNERGY STUDIES BY MODEL SIMULATION
Remote Sensing Forestry Modeling Retrieval Radar Lidar Fusion
2015/12/29
The use of lidar and radar instruments to measure forest structure attributes such as height and biomass are being considered for future Earth Observation satellite missions. Large footprint lidar mak...
STUDY ON ENVISAT ASAR DATA ASSIMILATION IN RICE GROWTH MODEL FOR YIELD ESTIMATION
Rice Yield Map Crop Model Radar Model Data Assimilation Optimization Algorithm Classification
2015/12/28
In this paper, a practical scheme for assimilation of multi-temporal and multi-polarization ENVISAT ASAR data in rice crop model to map rice yield has been presented. To achieve this, rice distributio...
ESTIMATION OF GRASSLAND DEGRADATION BASED ON HISTORICAL MAXIMUM GROWTH MODEL USING WITH REMOTE SENSING DATA
Satellite Remote Sensing Detection Image Understanding Comparative Analysis Dynamic Change
2015/12/28
Grassland degradation is a complicated process and result of multi-system interaction. Observation on grassland vegetation growth and change is of critical importance to grassland resource management ...
RESEARCH ON FACTORS ANALYSIS MODEL OF DUALISTIC SOIL SALINIZATION SENSITIVITY IN TYPICAL NORTHWESTERN ARID AREA
Soil Secondary Salinization Affective Factors Sensitivity Analysis RS and GIS Genetic Artificial Neural Network Shule River Watershed
2015/12/28
Soil secondary salinization is one of the typical ecological side effects caused by land and water resources development in northwestern arid China. Factors that affect the occurrences and development...
MONITORING OF SUSPENDED SUBSTANCE CONCENTRATION IN THREE GORGES DAM BASED ON THE SEMI-ANALYTICAL MODEL
Chlorophyll a Semi-analytical model Retrieval Three Gorges Dam
2015/12/28
Chlorophyll a (chla) concentration is an important index of water quality evaluation. It is significant to build a quantitative remote sensing retrieval algorithm to inverse the chla concentration. Wi...
ESTIMATION OF DAILY EVAPOTRANSPIRATION BY THREE-TEMPERATURES MODEL AT LARGE CATCHMENT SCALE
Remote Sensing Modeling Algorithms Landsat Image Thermal Environmental Monitoring
2015/12/28
Three-temperatures model (3T model) was a recently proposed algorithm, which could be used to estimate actual evapotranspiration (ET) and evaluate environmental quality. The key parameters included ar...
USING REMOTE SENSING DATA TO MODEL GROUNDWATER RECHARGE POTENTIAL IN KANYE REGION,BOTSWANA
Remote Sensing Water Resources Groundwater Recharge Arid Areas Kanye Region Limpopo Catchment
2015/12/28
This study focuses on the groundwater recharge potential in the upper Limpopo catchment starting from Kanye region in South Botswana. Existing high resolution remote sensing data were used to estimate...