scholarly journals Digital and real-habitat modeling of Hipparchia statilinus based on hyper spectral remote sensing data

2015 ◽  
Vol 13 (1) ◽  
pp. 187-200 ◽  
Author(s):  
L. Luft ◽  
C. Neumann ◽  
S. Itzerott ◽  
A. Lausch ◽  
D. Doktor ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Habitat Modeling ◽  
Sensing Data ◽  
Hyper Spectral

Estimating the soil total phosphorus content based on hyper-spectral remote sensing data in the Min River estuarine wetland

2015 ◽  
Vol 35 (24) ◽  
Author(s):  
章文龙 ZHANG Wenlong ◽  
曾从盛 ZENG Congsheng ◽  
高灯州 GAO Dengzhou ◽  
陈晓艳 CHEN Xiaoyan ◽  
林伟 LIN Wei
Keyword(s):  
Remote Sensing ◽  
Total Phosphorus ◽  
Phosphorus Content ◽  
Remote Sensing Data ◽  
Total Phosphorus Content ◽  
Sensing Data ◽  
Estuarine Wetland ◽  
Min River ◽  
Hyper Spectral ◽  
River Estuarine

The Intelligent Classifier’s Building of Typical Vegetation Based on Hyper-Spectral Data

2014 ◽  
Vol 1073-1076 ◽  
pp. 1972-1976
Author(s):  
Jie Zhang ◽  
Hao Yan Zhao ◽  
Min Xia Zhang
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Dynamic Monitoring ◽  
Large Area ◽  
Desert Vegetation ◽  
Sensing Data ◽  
Monitoring Model ◽  
Hyper Spectral ◽  
Bp Neural Network Model ◽  
Intelligent Process

With 3S comprehensive analysis on vegetation and the further development of hyper-spectral technology, the dynamic monitor of large area vegetation in long-term has become the trend. Intelligent process, combined the remote sensing data and field data, constructing dynamic monitoring model, plays an important guilding role in ecological security and balance. By using hyper-spectral remote sensing data of desert vegetation, three groups of spectral characteristic parameters were selected as input data of typical desert vegetation in the research, and vegetation types were selected as output data. Typical vegetation classifier was constructed based on the BP neural network model to study the vegetation classification.

Assessment of the national market demand for high-resolution remote sensing data

2002 ◽  
Vol 8 (1) ◽  
pp. 15-22
Author(s):  
V.N. Astapenko ◽  
◽  
Ye.I. Bushuev ◽  
V.P. Zubko ◽  
V.I. Ivanov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Remote Sensing Data ◽  
Market Demand ◽  
Sensing Data ◽  
National Market

Processing of remote sensing data for detection and recognition of object classes

2004 ◽  
Vol 10 (5-6) ◽  
pp. 175-177
Author(s):  
S.L. Kravtsov ◽  
◽  
L.V. Oreshkina ◽  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Object Classes ◽  
Detection And Recognition

A procedure for integrated assessment of landscape fire risk using remote sensing data

2011 ◽  
Vol 17 (6) ◽  
pp. 30-44
Author(s):  
Yu.V. Kostyuchenko ◽  
◽  
M.V. Yushchenko ◽  
I.M. Kopachevskyi ◽  
S. Levynsky ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Integrated Assessment ◽  
Remote Sensing Data ◽  
Fire Risk ◽  
Sensing Data
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