Chapter Remote Sensing—A Look to the Future

Keyword(s):  
Author(s):  
Sebastien Lefevre ◽  
Thomas Corpetti ◽  
Monika Kuffer ◽  
Hannes Taubenbock ◽  
Clement Mallet

2021 ◽  
pp. 103673
Author(s):  
Zhao-Liang Li ◽  
Pei Leng ◽  
Cheng-Hu Zhou ◽  
Kun-Shan Chen ◽  
Fang-Cheng Zhou ◽  
...  

Ensemble ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 145-165
Author(s):  
Tanmoy Sarkar ◽  
◽  
Tapas Pal ◽  

Soil erosion (by water) is a major land degradation process that may threat the Sustainable Development Goals (SDG) by its negative impact on environment and human well-being. Soil erosion research demands scientific methods, tools and techniques to assess soil erosion with more accuracy and reliability. Soil erosion research has had experienced crude field-based techniques in early twentieth century to model-based approaches since the 1970s and very recent machine learning and artificial intelligence models to predict soil erosion susceptibility and risk. The paper aims to review the trend in methodological development in soil erosion by water through time. The brief background of different approaches, their relative advantages and disadvantages are reviewed. Depending on the time of establishment and wide application the approaches are classified and represented as erosion plot/runoff approach, erosion pin technique followed by environmental tracer method and model approach in combination with Remote Sensing (RS) and Geographic Information System (GIS). Recent advancement in artificial intelligence and application of statistical techniques have a great potential to contribute in soil erosion research by identifying various degrees of susceptibility in large scale and also to quantify the erosion rate with high accuracy. The Remote sensing (RS) and Geographic Information System (GIS) contribute to develop regional scale data base with exploration of real time data and spatial analysis. The combination of RS & GIS and process-based models must be more effective than the traditional soil erosion model in the context of prediction with greater reliability and validity. The future research on soil erosion is better to focus on the theoretical analysis and development of erosion prediction model with more quantitative refinement and to model the future.


2020 ◽  
Author(s):  
Clemens Kramm ◽  
Henryk Hodam ◽  
Carsten Jürgens ◽  
Claudia Lindner ◽  
Annette Ortwein ◽  
...  

<p>„I want to remind the students that asked me the questions, that you are the future of science, technology and exploration. You have that flame. You teachers are fanning the flame, so it becomes a fire of curiosity and future exploration. We trust your generation to come up with the questions and the answers that we need to be better humans in the future.” – Luca Parmitano, Commander of the International Space Station (ISS)</p><p>Remote sensing and space travels have become a major tool for research and development in terms of scientific problems since the 1970’s. You don’t have to be an astronaut or pilot to get in touch with the many achievements, applications and scientific findings. Everyone and especially pupils are using them on a daily basis. Therefore, to deliberate the use of these technologies in school is crucial. The topic of remote sensing and space travels is quite complex and diverse, so many teachers are struggling to integrate them into their lessons. The main goal should be to support teachers by providing useful remote sensing school material and to encourage them to use these in their lessons. However teachers need the right science-based tools to fan “the flame, so it becomes a fire of curiosity”. To assist them in an effective manner it is necessary to adapt to their standard procedure of preparing a lesson: a fully developed teaching concept which includes not only the analysis of the topic itself but also the current curricula, the class, the didactics, the method and the material. Thereby it is possible to demonstrate how beneficial and well-grounded such a lesson can be.</p><p>The presentation addresses the question of how synergies of human space travels can be used to educate pupils and enhance the fascination of earth observation imagery in the light of problem-based learning in everyday school lessons. It will be shown which possibilities the topic of earth observation from space holds ready for teaching the regular curricula and how teachers can appropriately justify the appliance in their lessons. A comprehensive teaching concept example will be discussed, which matches german teaching standards and uses NASA’s High Definition Earth Viewing (HDEV) videos from the International Space Station (ISS) to enrich a secondary school geography lesson about the different geographic zones on earth.</p>


2016 ◽  
Vol 8 (3) ◽  
Author(s):  
Azimah Abd Rahman

Climate changes especially temperature and rainfall effect the habitat selection of bird migration in mangrove area to get some food and temporary stopover. The increase and decrease of temperature and rainfall is varies between upstream to downstream. This research was done to prove that temperature and rainfall are uneven in some area even in same boundary that can give impact in habitat selection of migratory birds. This research was concern around Matang Mangrove Forest, Perak that already familiar as focal area for migratory birds. Remote Sensing application was used in this research through use of ERDAS Imagine 8.5 which is based on pixels. This application helps to model the relationship between climate, namely temperature and rainfall with distribution density of migratory birds around the study area. Climate modeling was conducted to predict the distribution of migratory bird populations in the future due to changes in temperature and rainfall over a period of 5 years and 20 years. The results of this study showed a decrease in the population of migratory birds by 6.4% for a period of 5 years and a decrease to 7.5% for the last 20 years.  Sungai Sepetang and Sungai Selinsing shown that migratory bird populations decreased continuously after 20 years. However the Sangga Besar, Teluk Kertang, Temerlok, Pulau Pasir Hitam dan Sungai Tinggi area showed an increase in the arrival of migratory birds after 20 years.  This information analysis help the related agencies in manage and maintain the area around the Matang Mangrove Forest identified potential habitat for migratory birds in the future. In addition, through this study migratory bird monitoring can be carried out systematically on a wider scope without ignoring areas that strives to be the alternative habitat for migratory birds in the future.


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