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"This book presents the concepts of GNSS in a simplified way that can, on the one hand, be understood and utilised by environmentalists, while on the other, outlines its potential applications to environmental monitoring and management for those engaged more with its technology, which hopefully will further energise the already innovative research that is being carried out. "

"This book introduces methods of re-processing images to extract numerical information that can be used to quantify the observables in environmental modelling. Experiments or procedures that yield large images can be statistically or parametrically examined. Through the use of open source libraries, the book shows how big data in the form of images or datasets can be comparatively analysed along same defined procedures or standards. This book helps to solve the challenges of discarding datasets that are relevant directly or indirectly to the research. The habit of screening datasets leads to the discard of over 90% of the original dataset or images generated in the experiments or procedure. If the images or datasets are generated under the same principles or conditions, then each measurement may be the narrative of unique events. The focus of this book is to enlighten researchers on how to analyse measurements with the aim of ensuring 100% utilization.;"

"This book highlights the design principles of ground based radio-navigation systems used in solving navigation tasks in the airfield and on air routes. Mathematical correlations are illustrated that describe its operation, peculiarities of disposition, main technical characteristics, generalized structural diagrams as well as the inter-operation with onboard equipment. Examples of building, construction, functional diagrams, and characteristics of Russian made radio-navigation systems are discussed. This book is written for students of electronics and aviation disciplines. It can also be useful for aviation specialists as well as for those interested in air radio-navigation.​"

"A thoroughly up-to-date revision of this successful book, based on the series of IEE Vacation Schools. The text aims to give the professional engineer or graduate student a fully comprehensive yet practical understanding of the principles and technological issues of this major subject. As with all Vacation School based material, there is a strong tutorial element and real-world orientation."

"China Satellite Navigation Conference (CSNC) 2019 Proceedings presents selected research papers from CSNC2019 held during 22nd-25th May in Beijing, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 12 topics to match the corresponding sessions in CSNC2019, which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications."

"China Satellite Navigation Conference (CSNC) 2019 Proceedings presents selected research papers from CSNC2019 held during 22nd-25th May in Beijing, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 12 topics to match the corresponding sessions in CSNC2019, which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications."

"This book promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. The text introduces various signal-processing and pre-processing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details the development of effective feature extraction techniques classified into frequency, time-frequency- and time-domain analysis. Data generated by these techniques can then be used for condition classification employing tools such as, fuzzy systems, rough and neuro-rough sets, neural and Bayesian networks, hidden Markov and Gaussian mixture models, and support vector machines."

"Posisi geografis Indonesia yang terletak di antara 2 benua dan samudra sesungguhnya selain strategis, juga menyimpan risiko besar mengalami berbagai bencana. Perubahan iklim dan kerawanan lokasinya yang dikelilingi lempeng dan patahan-patahan geologis di kerak Bumi mengakibatkan Indonesia menjadi wilayah rawan gempa Bumi dan deformasi tanah/longsor. Selain itu kebakaran hutan, banjir, pembalakan liar, degradasi lahan pertanian, polusi air dan udara, pencurian ikan oleh kapal-kapal asing, gunung meletus, hingga bergesernya garis pantai dan batas negara, menjadi masalah krusial untuk dipecahkan. Untuk mencari solusi yang paling menyeluruh, diperlukan data spasial yang dapat memantau Bumi Indonesia melalui satelit Penginderaan Jauh (PJ). Salah satu hal yang dapat dideteksi dengan penginderaan jauh adalah terjadinya kebakaran hutan. Dengan penginderaan jauh, lokasi terjadinya kebakaran akan terdeteksi sebagai hotspot. Dalam penelitian ini data hotspot didapatkan dengan menerapkan algoritma yang digunakan oleh Z. Li (CCRS). Algoritma ini mendeteksi hotspot dari data satelit NOAA/AVHRR dengan menggunakan nilai suhu kecerahan pada kanal 3, 4 dan 5 dan nilai reflektansi pada kanal 2 untuk mengenali piksel potensial hotspot. Data yang digunakan dalam penelitian ini adalah data dari sistem penerimaan data HRPT satelit NOAA dan data yang diambil dari internet. Setelah data hotspot didapatkan, data tersebut akan ditampilkan dalam web-GIS beserta data yang lain seperti garis pantai, garis lintang dan bujur dan data citra satelit NOAA. Dari hasil data hotspot yang didapatkan, pada musim kemarau terdapat banyak hotspot dan pada musim penghujan hanya terdapat sedikit hotspot.

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Indonesia`s geographic position which is located between two continent and two ocean, although strategic, it also contain big risk of disaster happening. Climate changes and its insecure position which is surrounded by earth`s plates and geological fracture on earth`s crust results in Indonesia becoming an area which is prone to earthquake and land deformation. Furthermore, forest fire, flood, illegal logging, farm land degradation, water and air polution, fish theft by foreign ship, volcanoes, and the shift of coastline and country border, becomes a crucial problem to be solved. To find a comprehensive solution, spatial data is needed to monitor Indonesia by using remote sensing satellite. One of the things that can be detected by remote sensing is forest fire. With remote sensing, the place where forest fire occurs will be detected as hotspot. In this research, hotspot data is obtained by using the algorithm used by Z. Li (CCRS). This algorithm detects hotspot from NOAA/AVHRR satellite data by using brightness temperature value of channel 3, 4 and 5, and reflectance value of channel 2 to recognize hotspot potential pixel. Data used in this research is obtained from NOAA satellite HRPT data capture system and data obtained from internet. After hotspot data is obtained, the data will be displayed in web-GIS along with other data like coastline, graticules, and NOAA satellite image. From the obtained hotspot data, it is found that on dry season there ara many hotspots and on rainy season there are only a few hotspots."