Mission planning for the Earth remote sensing spacecraft based on open source data

2019 ◽  
Author(s):  
M. Zapletin ◽  
A. Zhakypov
Keyword(s):  
Remote Sensing ◽  
Open Source ◽  
Mission Planning ◽  
Earth Remote Sensing ◽  
The Earth ◽  
Open Source Data ◽  
Source Data

Planning the mission of an Earth remote sensing spacecraft based on open source data

2019 ◽  
Author(s):  
M.P. Zapletin ◽  
A.T. Zhakypov
Keyword(s):  
Remote Sensing ◽  
Programming Languages ◽  
Web Application ◽  
Region Of Interest ◽  
Earth Remote Sensing ◽  
Non Profit ◽  
Open Source Data ◽  
Source Data ◽  
Remote Sensing Satellite ◽  
Computational Part

The paper introduces a non-profit program designed to improve the efficiency in the study of the Earth’s surface. The program is designed to build the orbit of an Earth remote sensing satellite, to evaluate the plan and the possibilities of surveying a region of interest on the Earth's surface. Using this program, the user can visualize the orbit of any available commercial Earth remote sensing satellite in the required period of time, evaluate and plan a survey of the certain area by a specific spacecraft. The computational part of the program is based on the SGP4 model, which uses publicly available TLE data for Earth remote sensing satellites, on spherical trigonometry formulas and heuristic methods of computational shortcut. The program is implemented as a web application in the programming languages JavaScript and PHP using the Bootstrap, JQuery and Cesium libraries.

Algorithm for planning of realization of thematic programs of the Earth remote sensing

2007 ◽  
Vol 13 (2) ◽  
pp. 39-42
Author(s):  
A.I. Kirillov ◽  
◽  
Ye.I. Kapustin ◽  
N.A. Kirillova ◽  
E.I. Makhonin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Earth Remote Sensing ◽  
The Earth

Unpacked TDI PhCCD designed for large format optoelectronic systems for the Earth remote sensing

2005 ◽  
Author(s):  
Grigory I. Vishnevsky ◽  
Mikchail G. Vidrevitch ◽  
Vladimir G. Kossov ◽  
Olga P. Kourova ◽  
Mikchail V. Chetvergov
Keyword(s):  
Remote Sensing ◽  
Large Format ◽  
Earth Remote Sensing ◽  
The Earth ◽  
Optoelectronic Systems

Using Open-Source Data in Correlative Species Distribution Modeling of Marine Species

2018 ◽  
Vol 80 (6) ◽  
pp. 457-461
Author(s):  
Carlos A. Morales-Ramirez ◽  
Pearlyn Y. Pang
Keyword(s):  
Open Source ◽  
Species Distribution ◽  
Open Source Software ◽  
Species Distribution Modeling ◽  
Science Research ◽  
Marine Species ◽  
Distribution Modeling ◽  
Open Source Data ◽  
Rapid Changes ◽  
Source Data

Open-source data are information provided free online. It is gaining popularity in science research, especially for modeling species distribution. MaxEnt is an open-source software that models using presence-only data and environmental variables. These variables can also be found online and are generally free. Using all of these open-source data and tools makes species distribution modeling (SDM) more accessible. With the rapid changes our planet is undergoing, SDM helps understand future habitat suitability for species. Due to increasing interest in biogeographic research, SDM has increased for marine species, which were previously not commonly found in this modeling. Here we provide examples of where to obtain the data and how the modeling can be performed and taught.

Modelling urban energy requirements using open source data and models

2018 ◽  
Vol 231 ◽  
pp. 1100-1108 ◽  
Author(s):  
Alaa Alhamwi ◽  
Wided Medjroubi ◽  
Thomas Vogt ◽  
Carsten Agert
Keyword(s):  
Open Source ◽  
Energy Requirements ◽  
Open Source Data ◽  
Source Data ◽  
Urban Energy
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