State inventory of russian forests

10.12737/4508 ◽  
2014 ◽  
Vol 4 (2) ◽  
pp. 60-67
Author(s):  
Перепечина ◽  
Yuliya Perepechina ◽  
Глушенков ◽  
Oleg Glushenkov
Keyword(s):  
Data Processing ◽  
Satellite Images ◽  
Forest Stratification ◽  
Information Center ◽  
Russian Forests

The authors analyzed the methodological recommendations for SFI in Russia. Deficiencies in the distribution of plots, forest stratification, data processing using software and information center (PIC SFI) are revealed. Recommendations on methodologies for adjustments of SFI, a method to identify areas of outstanding forest using satellite images are suggested.

Remote Detection of Environmentally Vulnerable Terrain in Terms of Chemical Pollution of Soil and Groundwater

2020 ◽  
pp. 325-340
Author(s):  
Inna Romanciuc ◽  
Natalia Pazynych ◽  
Anton I. Manilov
Keyword(s):  
Remote Sensing ◽  
Environmental Impact ◽  
Data Processing ◽  
Satellite Images ◽  
Remote Detection ◽  
Chemical Pollution ◽  
Soil Humidity ◽  
Water Index ◽  
Humidity Level

Remote sensing is an efficient way to detect environmentally vulnerable terrain, where waste chemicals and excess fertilizers must result to considerable pollution of soil and groundwater. The indicators of such vulnerable formations were analyzed and applied for investigation of ground microdepressions. First indicator was the humidity level that was well recognized from the satellite images by calculation of normalized water index (NWI). Another active indicator used for the detection was the relief. The method of relief plastics joint with morphodynamic analysis was suggested for the data processing. The scheme of water basins and the map of environmentally fragile areas were created by combination of the indicators of soil humidity and topography. On the basis of the created maps, the restrictions for used chemicals can be developed in order to preserve considerable environmental impact of the pollution.

scholarly journals PEMETAAN POTENSI BIOGAS DAN PUPUK DARI KOTORAN SAPI UNTUK MENDUKUNG WISATA PAMELO DI DESA BAGENG KECAMATAN GEMBONG KABUPATEN PATI

2018 ◽  
Vol 11 (2) ◽  
pp. 103-112
Author(s):  
Hermain Teguh Prayitno
Keyword(s):  
Data Processing ◽  
Environmental Pollution ◽  
Satellite Images ◽  
Public Information ◽  
Secondary Data ◽  
Google Earth ◽  
Primary Data ◽  
Energy Needs ◽  
Map Data

ENGLISHBageng village is a village which has pummelo plant and the highest number of cattle in Gembong Subdistrict. Therefore, this area known as the Pummelo Tourism Village. High number of cattle not followed by good handling of cow waste so that in some areas experience the environmental pollution. To reach the better pummelo tourism village, it necessary to improve the quality of the environment. One of the way is by mapping the potential of biogas from cow waste. This study aims to: 1) describe the condition of cattle in Bageng village; 2) mapping the potential of biogas and manure from cow waste for development of Pummelo. This research is exploratory. The primary data required includes cage density, number of cattle, the amount of pummelo and public information obtained from the questionnaire. Secondary data were obtained from village and subdistrict monograph. Data processing is also reinforced with satellite images of google earth, the google MAP data. The results showed that : 1) The number of cattle counted 508-720 head with 8.7 tons of cow waste/day; 2) The largest biogas potency contained in Rubiyah hamlet Bageng village. From this research are expected the use of cow waste as biogas to meet the energy needs of the communities as well as to meet the needs of Pummelo plant manure. INDONESIADesa Bageng merupakan desa yang memiliki tanaman jeruk pamelo dan jumlah ternak sapi tertinggi di Kecamatan Gembong. Oleh karenanya, daerah ini dikenal sebagai Desa Wisata Pamelo. Jumlah ternak sapi yang tinggi tidak diikuti dengan penanganan kotoran sapi yang baik sehingga di beberapa daerah mengalami pencemaran lingkungan. Untuk menuju Desa Wisata Pamelo yang lebih baik, diperlukan adanya peningkatan kualitas lingkungan. Salah satunya dengan cara pemetaan potensi biogas dari kotoran sapi. Penelitian ini bertujuan untuk: 1) menggambarkan kondisi ternak sapi Desa Bageng; 2) memetakan potensi biogas dan pupuk dari pemanfaatan kotoran sapi untuk perkembangan Jeruk Pamelo. Penelitian ini merupakan penelitian eksploratif. Data primer yang dibutuhkan meliputi kerapatan kandang, jumlah ternak, jumlah jeruk pamelo dan informasi masyarakat yang diperoleh dari kuesioner. Data sekunder diperoleh dari Monografi Desa dan Kecamatan. Pengolahan data juga diperkuat dengan foto citra satelit google earth, data google MAP. Hasil penelitian ini menunjukkan bahwa: 1) Jumlah ternak sapi terhitung 508 – 720 ekor dengan 8,7 ton kotoran sapi /hari; 2) Potensi biogas terbesar terdapat di Dukuh Rubiyah Desa Bageng. Dari penelitian ini diharapkan adanya pemanfaatan kotoran sapi sebagai biogas untuk mencukupi kebutuhan masyarakat akan energi sekaligus untuk memenuhi kebutuhan pupuk tanaman Jeruk Pamelo.

scholarly journals ESTIMATION OF THE INFORMATION CAPACITY OF SENTINEL-2 REMOTE SENSING DATA FOR MONITORING SOIL POLLUTION WITH PETROLEUM PRODUCTS IN THE POLAR ARCTIC

2021 ◽  
Vol 6 ◽  
pp. 149-154
Author(s):  
Kirill A. Kozhanov ◽  
Ekaterina N. Kulik
Keyword(s):  
Remote Sensing ◽  
Comparative Analysis ◽  
Data Processing ◽  
Soil Pollution ◽  
Satellite Images ◽  
Remote Sensing Data ◽  
Petroleum Products ◽  
Satellite Systems ◽  
Sensing Data ◽  
Sentinel 2

The article uses the methods of comparative analysis of the data of resource satellite systems to evaluate the informative capacity of Sentinel-2B satellite images. Remote sensing data processing and analysis methods are used to determine the suitability of Sentinel-2B data for assessing the state of open soils, including those contaminated with petroleum products.

scholarly journals Image Processing in Hadoop Distributed Environment

10.29007/hxcv ◽  
2018 ◽  
Author(s):  
Mosab Shaheen ◽  
Madhukar B Potdar
Keyword(s):  
Image Processing ◽  
Big Data ◽  
Data Processing ◽  
Satellite Images ◽  
Unsupervised Classification ◽  
Distributed Environment ◽  
Big Data Processing ◽  
Multispectral Satellite Images ◽  
Hadoop Framework

Satellite images are a growing resource of information and have many applications. In this research, the multispectral satellite images have been subjected to unsupervised classification based on K-Means clustering using Hadoop Framework, which is designed for big data processing, along with Hadoop Image Processing Interface (HIPI). We developed support for the GeoTIFF format, which is usually used for satellite images, and we will show that our methodology enhances the performance.

The Karolinska Hospital Information System

1974 ◽  
Vol 13 (03) ◽  
pp. 125-140 ◽  
Author(s):  
Ch. Mellner ◽  
H. Selajstder ◽  
J. Wolodakski
Keyword(s):  
Information System ◽  
Data Processing ◽  
Data Base ◽  
Hospital Information System ◽  
Care Delivery ◽  
Traditional Approach ◽  
Processing System ◽  
Systems Design ◽  
Data Processing System ◽  
Karolinska Hospital

The paper gives a report on the Karolinska Hospital Information System in three parts.In part I, the information problems in health care delivery are discussed and the approach to systems design at the Karolinska Hospital is reported, contrasted, with the traditional approach.In part II, the data base and the data processing system, named T1—J 5, are described.In part III, the applications of the data base and the data processing system are illustrated by a broad description of the contents and rise of the patient data base at the Karolinska Hospital.

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