Characterization of Coastal Wetland Systems using Multiple Remote Sensing Data Types and Analytical Techniques

2006 ◽  
Author(s):  
D. Civco ◽  
J. Hurd ◽  
S. Prisloe ◽  
M. Gilmore
Keyword(s):  
Remote Sensing ◽  
Coastal Wetland ◽  
Remote Sensing Data ◽  
Analytical Techniques ◽  
Data Types ◽  
Sensing Data

scholarly journals Characterization of Species Diversity and Forest Health using AVIRIS-NG Hyperspectral Remote Sensing Data

2019 ◽  
Vol 116 (7) ◽  
pp. 1124 ◽  
Author(s):  
C. S. Jha ◽  
, Rakesh ◽  
J. Singhal ◽  
C. S. Reddy ◽  
G. Rajashekar ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Species Diversity ◽  
Forest Health ◽  
Remote Sensing Data ◽  
Hyperspectral Remote Sensing ◽  
Sensing Data

scholarly journals Detection and characterization of boreal coniferous forests from remote sensing data

2001 ◽  
Vol 106 (D24) ◽  
pp. 33405-33419 ◽  
Author(s):  
Jean-Luc Widlowski ◽  
Bernard Pinty ◽  
Nadine Gobron ◽  
Michel M. Verstraete
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Coniferous Forests ◽  
Sensing Data

scholarly journals Characterization of the northern Red Sea's oceanic features with remote sensing data and outputs from a global circulation model

Oceanologia ◽  
2017 ◽  
Vol 59 (3) ◽  
pp. 213-237 ◽  
Author(s):  
Ahmed Eladawy ◽  
Kazuo Nadaoka ◽  
Abdelazim Negm ◽  
Sommer Abdel-Fattah ◽  
Mahmoud Hanafy ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Circulation Model ◽  
Remote Sensing Data ◽  
Global Circulation Model ◽  
Sensing Data ◽  
Global Circulation

Information Extraction and Metallogenic Prediction of Qiangduo Area in Tibet Based on Multi-Source Remote Sensing Data

2014 ◽  
Vol 962-965 ◽  
pp. 127-131
Author(s):  
Xin Xing Liu
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Geological Mapping ◽  
Advanced Technology ◽  
Data Types ◽  
Sensing Data ◽  
Advantages And Disadvantages ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Metallogenic Prediction

Remote sensing technology as a kind of new and advanced technology has been playing an important role in geological mapping and prospecting. A single kind of remote sensing data always has both advantages and disadvantages. And with multispectral remote sensing data types increasing, the integrated application of multi-source remote sensing data will be one of the development trend of remote sensing geology. In this paper, comprehensive utilization of multi-source remote sensing data such as ETM+, ASTER, Worldview-II and DEM, lithology and geological structure of Qiangduo area in Tibet were interpreted in different levels and mineralized alteration information also was extracted. Then on the basis of modern metallogenic theory, analyzed the multiple mineralization favorite information, established the remote sensing prediction model, and on the GIS platform, carried out metallogenic prediction of the study area. The field validation shows that the results of the prediction are relatively accurate and remote sensing technology can improve the efficiency of geological work.

Remote sensing data types and techniques for lahar path detection: A case study at Mt Ruapehu, New Zealand

2009 ◽  
Vol 113 (8) ◽  
pp. 1778-1786 ◽  
Author(s):  
Karen E. Joyce ◽  
Sergey Samsonov ◽  
Vern Manville ◽  
Richard Jongens ◽  
Alison Graettinger ◽  
...  
Keyword(s):  
Remote Sensing ◽  
New Zealand ◽  
Remote Sensing Data ◽  
Data Types ◽  
Sensing Data ◽  
Path Detection

scholarly journals Characterization of melt and ejecta deposits of Kepler crater from remote sensing data

2014 ◽  
Vol 119 (6) ◽  
pp. 1238-1258 ◽  
Author(s):  
T. Öhman ◽  
G. Y. Kramer ◽  
D. A. Kring
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data
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