scholarly journals Analysis of the environmental impacts caused by fires in the state California from 1999 to 2017

2018 ◽  
pp. 147
Author(s):  
João Vitaliano de Carvalho Rocha
Keyword(s):  
Remote Sensing ◽  
Environmental Impacts ◽  
Search Engine ◽  
Agricultural Production ◽  
The State ◽  
Conservation And Development ◽  
Wood Extraction ◽  
Leisure And Recreation

The primary objetive of this research has been the study of the multiple fires that have affected the State of California over the last decade. California is a region where collage the largest leading agricultural production and conservatio, military areas, wildlife reserves, cooperative plans for the conservation and development of wildlife and wildlife managed by the Navy. The Google tool was used has a search engine to obtaine the data througth articles and sites, as well as images obtained by remote sensing. It was noted that even today, a large number of fires in California are not justified by scientists in the agencies responsible for their extincion. The larger number of fires in California over the last decades an unprecedented destruction of homes and commercial establishments; areas of agriculture, livestock, leisure and recreation completely characterizing the region, despite the fact that so much wood extraction is common.

scholarly journals Application of remote sensing data in agriculture

2020 ◽  
Vol 4 (4) ◽  
pp. 72-77
Author(s):  
E. G. Meshchaninova ◽  
◽  
Yu. A. Stepkin ◽  
Keyword(s):  
Remote Sensing ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Remote Sensing Data ◽  
The State ◽  
Objective Data ◽  
Sensing Data ◽  
The Earth

The lack of accurate maps, an undeveloped network of points for operational and meteorological monitor-ing of ground stations, lack of air support, and much more makes it difficult to control large areas of agricultural land. Due to these factors and the lack of objective data in determining the state of land and forecasting the state of the situation, it is extremely difficult to increase agricultural production, optimize the costeffective use of land, and reduce costs to a minimum. Remote sensing of the Earth is actively used to solve various problems of integrated and specialized management of agricultural territories. It is difficult to overestimate the importance of the obtained remote sensing data, they allow us to solve a number of tasks in agriculture and, in particular, facilitate monitoring of the state of crops over large areas.

On the diversity of the effects of the state support for agriculture

2019 ◽  
pp. 59-73 ◽  
Author(s):  
Nikolai M. Svetlov ◽  
Renata G. Yanbykh ◽  
Dariya A. Loginova
Keyword(s):  
Agricultural Production ◽  
The State ◽  
Russian Regions ◽  
Negative Effects ◽  
State Support ◽  
Soft Budget Constraints ◽  
Institutional Conditions ◽  
Positive Effects ◽  
Production Factors ◽  
Corporate Farms

In this paper, we assess the effects of agricultural state support of corporate farms on their revenues from agricultural production sales in 14 Russian regions that differ in technology, environment and institutional conditions. In addition to the direct effect of the state support, the indirect effects via labor and capital are revealed. For this purpose, we identify production functions and statistical models of production factors for each of these regions separately. We find out diverse effects of the state support on revenues among the regions. Positive effects prevail. Negative effects are mainly caused by labor reductions that follow subsidy inflows. Another cause of negative effects is the soft budget constraints phenomenon.

The analysis is geometrically stable orbits of spacecraft remote sensing of the Еarth

2018 ◽  
Vol 15 (1) ◽  
pp. 12-22
Author(s):  
V. M. Artyushenko ◽  
D. Y. Vinogradov
Keyword(s):  
Remote Sensing ◽  
Gravitational Field ◽  
State Vector ◽  
Semimajor Axis ◽  
The State ◽  
Zonal Harmonics ◽  
The Earth ◽  
Conditions Of Stability

The article reviewed and analyzed the class of geometrically stable orbits (GUO). The conditions of stability in the model of the geopotential, taking into account the zonal harmonics. The sequence of calculation of the state vector of GUO in the osculating value of the argument of the latitude with the famous Ascoli-royski longitude of the ascending node, inclination and semimajor axis. The simulation is obtained the altitude profiles of SEE regarding the all-earth ellipsoid model of the gravitational field of the Earth given 7 and 32 zonal harmonics.

Poland

2017 ◽  
Author(s):  
Detlef Pollack ◽  
Gergely Rosta
Keyword(s):  
Catholic Church ◽  
Agricultural Production ◽  
The State ◽  
Religious Culture ◽  
Key Factors ◽  
Pope John Paul Ii ◽  
National Values ◽  
The Impact ◽  
State Socialist ◽  
The Church

The chapter on Poland focuses on two questions. Why, in contrast to all other state-socialist countries, did the church’s capacity for integration actually increase rather than decrease despite persecution and discrimination during the communist period? And why has this capacity also remained more or less constant (albeit to a lesser extent) in the period since the end of communist rule? The authors have identified four key factors in the remarkable resistance of the Polish Catholic Church during the period of communist persecution: the fusion of religious and national values, the specific conflict dynamics of the church’s struggle with the state, the structural conservatism of agricultural production in Poland, and the actions of Pope John Paul II. Explanations for the surprising stability of religiosity in Poland after 1990 point to the behaviour of the Church itself, to the internal pluralization of Catholicism, and to the impact of a homogeneous religious culture.

scholarly journals Assessing the Economic and Environmental Impacts of Alternative Renewable Portfolio Standards: Winners and Losers

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3319
Author(s):  
Jamal Mamkhezri ◽  
Leonard A. Malczynski ◽  
Janie M. Chermak
Keyword(s):  
New Mexico ◽  
Environmental Impacts ◽  
The State ◽  
Policy Implications ◽  
Renewable Portfolio Standard ◽  
County Level ◽  
Renewable Portfolio Standards ◽  
Energy Potential ◽  
Output Analysis ◽  
The Impact

State-mandated renewable portfolio standards affect substantial portions of the total U.S. electricity supply. Renewable portfolio standards are environmentally motivated policies, yet they have the potential to greatly impact economy. There is not an agreement in the literature on the impact of renewable portfolio standards policies on regional economies, especially on job creation. By integrating various methodologies including econometrics, geographic information system, and input–output analysis into a unique system dynamics model, this paper estimates the economic and environmental impacts of various renewable portfolio standards scenarios in the state of New Mexico, located in Southwestern U.S. The state is endowed with traditional fossil fuel resources and substantial renewable energy potential. In this work we estimated and compared the economic and environmental tradeoffs at the county level under three renewable portfolio standards: New Mexico’s original standard of 20% renewables, the recently adopted 100% renewables standard, and a reduced renewable standard of 10%. The final one would be a return to a more traditional generation profile. We found that while the 20% standard has the highest market-based economic impact on the state as a whole, it is not significantly different from other scenarios. However, when environmental impacts are included, the 100% standard yields the highest value. In addition, while the state level economic impacts across the three scenarios are not significantly different, the county-level impacts are substantial. This is especially important for a state like New Mexico, which has a high reliance on energy for economic development. A higher renewable portfolio standard appears to be an economic tool to stimulate targeted areas’ economic growth. These results have policy implications.

scholarly journals Quantification of the Environmental Impacts of Highway Construction Using Remote Sensing Approach

2021 ◽  
Vol 13 (7) ◽  
pp. 1340
Author(s):  
Shuailong Feng ◽  
Shuguang Liu ◽  
Lei Jing ◽  
Yu Zhu ◽  
Wende Yan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Environmental Impacts ◽  
Land Surface ◽  
Vegetation Index ◽  
Highway Construction ◽  
Temporal Changes ◽  
Moisture Index ◽  
Buffer Zones ◽  
Wide Range ◽  
Spatial And Temporal Changes

Highways provide key social and economic functions but generate a wide range of environmental consequences that are poorly quantified and understood. Here, we developed a before–during–after control-impact remote sensing (BDACI-RS) approach to quantify the spatial and temporal changes of environmental impacts during and after the construction of the Wujing Highway in China using three buffer zones (0–100 m, 100–500 m, and 500–1000 m). Results showed that land cover composition experienced large changes in the 0–100 m and 100–500 m buffers while that in the 500–1000 m buffer was relatively stable. Vegetation and moisture conditions, indicated by the normalized difference vegetation index (NDVI) and the normalized difference moisture index (NDMI), respectively, demonstrated obvious degradation–recovery trends in the 0–100 m and 100–500 m buffers, while land surface temperature (LST) experienced a progressive increase. The maximal relative changes as annual means of NDVI, NDMI, and LST were about −40%, −60%, and 12%, respectively, in the 0–100m buffer. Although the mean values of NDVI, NDMI, and LST in the 500–1000 m buffer remained relatively stable during the study period, their spatial variabilities increased significantly after highway construction. An integrated environment quality index (EQI) showed that the environmental impact of the highway manifested the most in its close proximity and faded away with distance. Our results showed that the effect distance of the highway was at least 1000 m, demonstrated from the spatial changes of the indicators (both mean and spatial variability). The approach proposed in this study can be readily applied to other regions to quantify the spatial and temporal changes of disturbances of highway systems and subsequent recovery.

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