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CORN FPAR ESTIMATING WITH NEAR AND SHORTWAVE INFRARED BANDS OF HYPERSPECTRAL DATA BASED ON PCA
NDVI RVI PCA Hyperspectral Infrared Shortwave FPAR Estimating
2015/12/30
FPAR (Fraction of Absorbed Photosynthetically Active Radiation) is a key parameter in the study on ecosystem function, crop growth monitoring, and so on, it is important to estimate FPAR accurately. B...
A FUZZY-BASED TOOL FOR SPATIAL REASONING:A CASE STUDY ON ESTIMATING FOREST FIRE RISKY AREAS
Spatial reasoning Fuzzy Set Forest Fire Risk Mapping
2015/8/10
The Mediterranean countries like many world countries have forest fire problem. Many forest fires have occurred each year and huge amount of forest areas in each country have been lost. 27% of Turkey’...
Estimating Intrinsic Accuracy of Airborne Laser Data with Local 3D-Offsets
lidar accuracy local corrections,3D-accumulators deformation fi eld registration
2015/5/26
Airborne laser systems provide a three-dimensional (3D) perception of the Earth’s topography with clouds of points. Whereas the
technique ensures a high theoritical quality, one can observe discrepan...
MAXIMUM LIKELIHOOD METHOD MODIFIED IN ESTIMATING A PRIOR PROBABILITY AND IN IMPROVING MISCLASSIFICATION ERRORS
Maximum Likelihood Method (MLM) Mixel Data Fusion Decision Tree
2015/2/4
Maximum Likelihood Method (MLM) has been one of the most traditional classification methods in remote sensing
field, but its disadvantages have been also pointed out. While a prior occurrence probabi...
ESTIMATING LANDSCAPE PATTERN FROM SUPERVISED AND UNSUPERVISED CLASSIFICATION:STUDIES IN THE WESTERN GHATS,INDIA
Accuracy Classification Ecosystems Interpretation Land use/Land cover Pattern recognition Spatial data Sustainability
2015/2/4
Current research suggests that metrics of landscape pattern can act as indicators of ecological processes and biodiversity
maintenance. Land cover maps, created through remote sensing, enable the eva...
A SEMI-EMPIRICAL APPROACH FOR ESTIMATING PLANT PARAMETERS WITHIN THE RESEDA-PROJECT
Multi-spectral data Multi-temporal Modelling Monitoring Agriculture
2015/2/3
Monitoring the growth of agricultural crops during the whole growing season is important for observing anomalies in growth and development in order to be able (1) to adjust the growth of the crops, an...
