LiDAR & Satellite Incorporated Application (1)

Overview


  
Figure 1
Figure 2
  • Contents of sections
Part I

Overview
Principle of Data Sampling
Principle of LiDAR
LiDAR Return Cloud Point Classification
An Investigated Place
Hyper-spectra sampling
LiDAR Data Sample &Transfer
Vegetation Spatial Location
Terrain analysis
Hyperspectral sampling points vs.LiDAR Points

Part II

Gravity Anomaly
Magnetic Susceptibility Anomaly
Some Relevant Imageries
Minerals Investigation
Spatial Distribution of Minerals Abundance
Geohydrology
Vegetation Indexes
Vegetation Stress Indexes
Fire Fuel Indexes

Part III

Data Transfered from ENVI
About HyMAP Data & Linking LiDAR Data
Topics raised from HyMAP Data
Theories Invovled in Application
HyMAP Data & Remote Sensing Imagery
Interaction Bewteen HyMAP and LiDAR Data
HyMAP and LiDAR Data in Deep Study & Practice

Part IV

Advanced Topics Using HyMAP and LiDAR Data

Part V

Overview (1)
The Principle of Producing Hyper-Spectra (1)
Merging Datasets (1)
Merging Datasets (6)
Merging Datasets (9)
Merging Datasets (11)
Merging Datasets (13)
Merging Datasets (14)
Merging Datasets (15)

  It is very clear that LiDAR (Light Detection and Ranging) performed by aircraft and remote sensing   handled by satellites belong to two different platforms. Nevertheless, the target they focus on could be same. The process is very complex; Figure 1 offers ones a brief picture to quickly demonstrate their correlation. In fact, these concepts are quite important because
1. Any substances on the ground and phenomena are often modelled by over one physical parameter, in other words, more different data for these parameters used in any modelling are required. These data are often collected by different functional devices installed in different platforms.
2. Once the data are captured by different platforms, how to classify, extract and transfer them relies on these concepts. Otherwise, the data are not effectively and fully utilized, even wasted.
  Due to that remote sensing itself is a cutting edge technology and employs massive interdisciplinary knowledge and deeper theories, that results in a fact that many relevant researchers in the world only watch or observe the Earth rather than managing some relevant issues/or projects by means of scientific calculation using collected data.  
Recently. It is discovered that more and more relevant researchers have been paying a high attention to LiDAR, unfortunately it seems that they may not have much ideas of how to effectively incorporate the data of LiDAR into the diverse ones collected by satellites. Certainly, this task is full of significance in practice. But, the technology of LiDAR in dealing with the collected data is still in development, thus analyzing and discovering some unclear phenomena on the Earth still needs assistance from the data captured by satellites. Making use of mature techniques, this approach has successfully been achieved and can be further extended to massive fields. Nevertheless, it is impossible to give ones a detailed explanation for each topic in this website because they employ too many relevant academic theories, only results are given accompanying with some brief and necessary explanations. Hope they are useful.

Principle of Data Sampling

How to sample the diverse data is quite important in practice, this topic also relates to the one of how to design a useful survey for data users.
From data users’ point, sampling a series of data used in diverse practice needs a comprehensive consideration.   A general rule of stepping into them is
1. Which data of parameters associated with researches are required;
2. The data having the smallest scale are considered at first as a priority. Figure 2 gives a brief profile of the process (thus from small to large because not all of data are available with full scale).

It seems very simple but important.







To the beginning of Part (II)

LiDAR_&Satellite_Application(15)

To the beginning of Part (III)

LiDAR_&Satellite_Application(33)

To the beginning of Part (IV)

LiDAR_&Satellite_Application(53)


To the beginning of Part (V)

LiDAR_&Satellite_Application(58)



               An Important Notice


   Please note that the limitations approaching to diverse applications at the initial stages (see Figure 2) have been successfully dismissed after a lot of efforts performed by Dr Carl Jiang with assistants from UQ.
In other words, the originally existing technical problems in dealing with data have completely been resolved, hence the original method of merging data by using a package have successfully been replaced by newly discovered methods. The measured data in different places at the same zone can be seamlessly merged without losing any original data and stored information. 

The methodologies and the outcomes of trials have briefly been introduced in Part V.



Please contact Dr Carl Jiang to gain the detailed technical information through contact us  if need technical support.


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