[PDF] Top 20 A REVIEW OF GEOTHERMAL MAPPING TECHNIQUES USING REMOTELY SENSED DATA
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A REVIEW OF GEOTHERMAL MAPPING TECHNIQUES USING REMOTELY SENSED DATA
... improved data quality and ...used data from–ASTER, and LANDSAT thermal ...(AVIRIS) data to investigate thermal patterns and GT anomalies at Steamboat Springs, ...two techniques on the TIMS and ... See full document
11
Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data
... this review, some landscape indicators that may be used as a framework for future studies aiming to characterize and monitor malaria transmission in the Amazon have been ...with remotely sensed ... See full document
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Using the Opposition Effect in Remotely Sensed Data to Assist in the Retrieval of Bulk Density
... BRDF using simple mathematical functions that do not have any physical meaning [17, 18, 19, ...BRDF using a weighted sum of kernels [21, 22, ...BRDF using first principles [8, 24, 25, ...we ... See full document
117
Glacial geomorphological mapping: A review of approaches and frameworks for best practice
... of using particular mapping methods in certain settings ...different mapping methodologies reflect the difficulties in identifying vertical limits, thickness distribution and surface topography of ... See full document
99
Development and Evaluation of Advanced Classification Systems using Remotely Sensed Data for Accurate Land-Use/Land-Cover Mapping
... new techniques that can overcome the local minima problem and thus approximate the global or near-global minimal ...in remotely sensing applications because SA is computationally expensive and therefore not ... See full document
248
Water Bodies Mapping in Remotely Sensed Satellite Images
... analysis techniques have been developed to aid the interpretation of remote sensing images and to extract as much information as possible from the ...suitable techniques are adopted for a given theme, ... See full document
7
Contemporary remotely sensed data products refine invasive plants risk mapping in data poor regions
... (RS) data can enhance predictions by providing a range of spatial environmental data products at fine scale beyond climatic variables ...observation data. Results showed that combining climate and RS ... See full document
18
Improving specific class mapping from remotely sensed data by cost sensitive learning
... classification techniques may not be appropriate for the derivation of information about these ...from data imbalance issues, since the classes of interest are usually a small component of the training ... See full document
21
Analysis of Change Detection Techniques using Remotely Sensed Data
... for mapping land cover changes using remotely sensed ...detection techniques were applied to detect the nature and extent of the land-cover changes in Semarang city using Landsat ... See full document
6
Identification and Mapping of Riparian Vegetation in Eastern North Carolina by Remotely Sensed Data
... made using digital imagery. Automated classification techniques, supervised and unsupervised classification could be performed on digital imagery such as QuickBird, IKONOS or even ... See full document
104
Using Boosted Regression Trees and Remotely Sensed Data to Drive Decision Making
... Big Data analysis arise due to the way the data are recorded, maintained, processed and ...Big Data challenges to drive decision ...the data, a collection of GIS shapefiles, remotely ... See full document
17
Cardiovascular Disease Prediction Using Data Mining Techniques: A Review
... care, data mining is becoming increasingly popular if not increasingly ...essential. Data mining is a general term which encompasses a number of techniques to extract useful information from (large) ... See full document
9
Development and Assessment of Advanced Data Fusion Algorithms for Remotely Sensed Data
... for data fusion is: “data fusion is a set of techniques used to generate fused images from a combination of primary images, by attempting to preserve the best characteristics of each primary image” ... See full document
160
Survey on Remotely Sensed Image Classification Techniques using Support Vector Machines and Swarm Intelligence
... Qiu Zhen Ge, Zhang Chun Ling ,Li. Qiong, Xin Xian Hui, Guo Zhang [8] presented the image categorization problem as an image texture learning problem by viewing an image as a collection of regions, each obtained from ... See full document
5
Tropospheric ozone variability over Iraq as observed using remotely sensed data
... Pittman J. V., pan L. L., Wei J. C., Irion F. W., Liu X., Maddy E. S., Barnet C. D., Chance K. & Gao R. S. 2009. Evaluation of AIRS, IASI, and OMI ozone profile retrievals in the extra tropical tropopause region ... See full document
6
Urban Sprawl Detection Using Remotely Sensed Data: A Case of Chennai, Tamilnadu
... quantified using spatial metrics ...sensing data [14]. The availability of remotely sensed data from multiple dates enables us to carry out studies on urban modeling [8], urban ... See full document
23
QuakeSim: Integrated Modeling and Analysis of Geologic and Remotely Sensed Data
... GPS data to determine earthquake and after-slip fault movements, finite element models of earthquake cycles, and new methods for GPS data processing on ... See full document
9
Towards malaria risk prediction in Afghanistan using remote sensing
... 23 provinces with more complete malaria time series were used in this study, as often it is more difficult to draw statistical conclusions from short or incomplete epi- demiological time series. The malaria epidemiology ... See full document
11
Combining temporal 3-D remote sensing data with spatial rockfall simulations for improved understanding of hazardous slopes within rail corridors
... for using 3-D remote sensing data to identify rockfall locations, volumes and source zone characteristics and to perform slope ...These data can then be used to develop rockfall simulations which can ... See full document
14
A Review on Insider Attack Detection Algorithm Using Data Mining Techniques
... [5] These researchers believe the use of decoy data, files documents can help us to solve the problem of insider attacks. Therefore, they have developed an algorithm that works on the concept of decoys. After ... See full document
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