scholarly journals The role of soil, water and forest conservation on vegetation cover and landscape greenness in degraded areas of upper Blue Nile

2021 ◽  
Vol 9 (1) ◽  
pp. 3181-3192
Author(s):  
Mengie Belayneh ◽  
Teshome Yirgu ◽  
Dereje Tsegaye
Keyword(s):  
Soil Water ◽  
Vegetation Cover ◽  
Large Scale ◽  
Forest Conservation ◽  
Vegetation Index ◽  
Positive Impact ◽  
Vegetation Density ◽  
Watershed Area ◽  
Landsat Satellite ◽  
The Impact

Recently, large-scale soil, water, and forest conservation/protection practices have been implemented in Ethiopia. This study aimed to evaluate the impact of soil, water, and forest conservation/protection on vegetation cover and landscape greenness in the Gumara watershed. Landsat satellite imageries were used to analyze the changes using land use/cover and net difference vegetation index (NDVI) and its differencing methods. Over the period 1995-2017, forestland and shrub-woodland covers increased by 48.4% (2.8-4.2%) and 8.3% (20.2-21.9%), respectively. Similarly, the NDVI result showed high improvements in landscape greenness and vegetation density. A 13.5% of the watershed area experienced a significant increase, of which 61.4% was observed on forest and shrub-woodland covers. The watershed area covered by very high (NDVI>0.4) and high (NDVI 0.3-0.4) vegetation density classes were increased by 189.2 and 145.5%, respectively. Upon the increasing human pressure and related problems, the observed improvement of vegetation cover and landscape greenness show the positive impact of soil, water, and forest conservation/protection practices done for the last two decades. Therefore, strengthening the current efforts and investing more in sustainable and evidence/priority-based soil, water, and forest conservation measures that are ecologically friendly with diversified livelihood importance can bring a more effective result of land rehabilitation.

scholarly journals MANGROVE FOREST CHANGE IN NUSA PENIDA MARINE PROTECTED AREA, BALI - INDONESIA USING LANDSAT SATELLITE IMAGERY

2019 ◽  
Vol 15 (2) ◽  
pp. 141 ◽  
Author(s):  
August Daulat ◽  
Widodo Setiyo Pranowo ◽  
Syahrial Nur Amri
Keyword(s):  
Satellite Imagery ◽  
Vegetation Cover ◽  
Protected Area ◽  
Mangrove Forest ◽  
Vegetation Index ◽  
Marine Protected Area ◽  
Mangrove Forests ◽  
Forest Change ◽  
Landsat Satellite ◽  
The Impact

Nusa Penida, Bali was designated as a Marine Protected Area (MPA) by the Klungkung Local Government in 2010 with support from the Ministry of Marine Affairs and Fisheries, Republic of Indonesia. Mangrove forests located in Nusa Lembongan Island inside the Nusa Penida MPA jurisdiction have decreased in biomass quality and vegetation cover. It’s over the last decades due to influences from natural phenomena and human activities, which obstruct mangrove growth. Study the mangrove forest changes related to the marine protected areas implementation are important to explain the impact of the regulation and its influence on future conservation management in the region. Mangrove forest in Nusa Penida MPA can be monitored using remote sensing technology, specifically Normalized Difference Vegetation Index (NDVI) from Landsat satellite imagery combined with visual and statistical analysis. The NDVI helps in identifying the health of vegetation cover in the region across three different time frames 2003, 2010, and 2017. The results showed that the NDVI decreased slightly between 2003 and 2010. It’s also increased significantly by 2017, where a mostly positive change occurred landwards and adverse change happened in the middle of the mangrove forest towards the sea.

Spatiotemporal Analysis of Vegetation Cover and Its Response to Terrain and Climate Factors in Duhok Governorate, Kurdistan Region, Iraq

2020 ◽  
Vol 54 (1A) ◽  
pp. 110-126
Author(s):  
Rebar Mzuri
Keyword(s):  
Vegetation Cover ◽  
Vegetation Index ◽  
Temporal Distribution ◽  
Spatiotemporal Analysis ◽  
Climate Data ◽  
Remarkable Change ◽  
Temperature And Precipitation ◽  
Landsat Satellite ◽  
The Impact ◽  
Precipitation And Temperature

The integration of remote sensing techniques and Geographic Information System has a wide use to quantify the spatial and temporal distribution of vegetation cover. Over the last decade, a remarkable change was noticed in both climate and vegetation cover in Duhok. The Modified Soil Adjusted Vegetation Index (MSAVI2) was extracted from Landsat satellite images over the 20 years (2000 to 2019). For analyzing the vegetation changes, the terrain data including elevation, slope, and aspect and climate data temperature and precipitation are used. The result shows that from 2000–2019, the average mean MSAVI2 is 0.361 and the trend increased in 77.9% of the study area. The northern and northeastern areas of the study area revealed a significant increase in vegetation, while in the low land areas it is decreased. The amount of precipitation and temperature degree affect the spatiotemporal distribution of vegetation cover. The MSAVI2 showed a positive relationship with precipitation and temperature. At elevation less than 2000 m, with increasing elevation the MSAVI2 is increasing, but when the elevation reaches 2000 m, the MSAVI2 is decreasing and negatively related to elevation. The vegetation has a positive relation with slopes less than 45°, and at slopes higher than 45°, the MSAVI2 is decreased. The impact of aspect on the vegetation figured out that the largest MSAVI2 is detected in the shady slope due to relatively less evapotranspiration.

scholarly journals Urban Fire Severity and Vegetation Dynamics in Southern California

2020 ◽  
Vol 13 (1) ◽  
pp. 19
Author(s):  
Lauren E. H. Mathews ◽  
Alicia M. Kinoshita
Keyword(s):  
Vegetation Cover ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Current Knowledge ◽  
Fire Severity ◽  
Satellite Image ◽  
Burn Severity ◽  
Native Vegetation ◽  
Riparian Areas ◽  
The Impact

A combination of satellite image indices and in-field observations was used to investigate the impact of fuel conditions, fire behavior, and vegetation regrowth patterns, altered by invasive riparian vegetation. Satellite image metrics, differenced normalized burn severity (dNBR) and differenced normalized difference vegetation index (dNDVI), were approximated for non-native, riparian, or upland vegetation for traditional timeframes (0-, 1-, and 3-years) after eleven urban fires across a spectrum of invasive vegetation cover. Larger burn severity and loss of green canopy (NDVI) was detected for riparian areas compared to the uplands. The presence of invasive vegetation affected the distribution of burn severity and canopy loss detected within each fire. Fires with native vegetation cover had a higher severity and resulted in larger immediate loss of canopy than fires with substantial amounts of non-native vegetation. The lower burn severity observed 1–3 years after the fires with non-native vegetation suggests a rapid regrowth of non-native grasses, resulting in a smaller measured canopy loss relative to native vegetation immediately after fire. This observed fire pattern favors the life cycle and perpetuation of many opportunistic grasses within urban riparian areas. This research builds upon our current knowledge of wildfire recovery processes and highlights the unique challenges of remotely assessing vegetation biophysical status within urban Mediterranean riverine systems.

Design of Microplastics Citizen Science Kit

2020 ◽  
Author(s):  
Rachael Hughson-Gill
Keyword(s):  
Data Collection ◽  
Citizen Science ◽  
Large Scale ◽  
Positive Impact ◽  
Research Process ◽  
Freshwater Ecosystems ◽  
Freshwater Systems ◽  
The Public ◽  
Plastic Bags ◽  
The Impact

<p>Microplastics are an ever-increasing problem. Every river that was tested in a recent study found the presence of microplastics, with 80% of all plastic in the ocean coming from upstream. Despite this, there is little understanding into the abundance of plastic, its characteristics and the full impact that is it having on marine, freshwater ecosystems and wider ecological systems.</p><p> </p><p>Current fresh water monitoring does not consider the fluid dynamics of rivers, is difficult to use and is inaccessible to the wider public. My project will focus on creating a product that allows for the large-scale data collection of microplastic through citizen science. Allowing groups of people to analyse their local natural environment for the presence and abundance of microplastics within the water. This method of data collection could provide information on a scale that is not possible with traditional methods and would allow for the comparison between freshwater systems. This comparison is fundamental to begin to fill the knowledge gaps around the understanding of microplastics.</p><p> </p><p>Inaccessibility of monitoring to the public is not just through tools but also through the current communication of data with research rarely breaking into the public domain. Citizen science offers not just an improvement in understanding but also offers an opportunity for engagement with the public body. Increasing awareness of the impact of habits round plastic through the sharing of monitoring data can generate the much-needed change on both an individual and policy level to address the problem from the source. This method of change through public opinion can be seen to have an effect on freshwater systems through microbeads ban, plastic bags, plastic straws and industrial pollution regulation.</p><p> </p><p>Through the creation of this product a multidisciplinary approach that blends engineering and design practices is implemented. The wholistic approach to creation is something that is fundamental in the success of tools and therefore the success of the research that is implemented through them. A tool such as this whose function is within the public engagement of its use - increased awareness, as well as the outcome of its use - microplastics data, is required to have an engaging user experience as well as data integrity implemented through engineering design.</p><p> </p><p>This project offers an opportunity to show the importance of the design process within research tools to aid the research process and the positive impact that can come from it.</p>

Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill

2018 ◽  
Vol 146 (4) ◽  
pp. 1157-1180 ◽  
Author(s):  
Gregory C. Smith ◽  
Jean-Marc Bélanger ◽  
François Roy ◽  
Pierre Pellerin ◽  
Hal Ritchie ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Large Scale ◽  
Weather Forecasting ◽  
Positive Impact ◽  
Weather Prediction ◽  
Ocean Model ◽  
Forecast Skill ◽  
Medium Range ◽  
Forecasting System ◽  
The Impact

The importance of coupling between the atmosphere and the ocean for forecasting on time scales of hours to weeks has been demonstrated for a range of physical processes. Here, the authors evaluate the impact of an interactive air–sea coupling between an operational global deterministic medium-range weather forecasting system and an ice–ocean forecasting system. This system was developed in the context of an experimental forecasting system that is now running operationally at the Canadian Centre for Meteorological and Environmental Prediction. The authors show that the most significant impact is found to be associated with a decreased cyclone intensification, with a reduction in the tropical cyclone false alarm ratio. This results in a 15% decrease in standard deviation errors in geopotential height fields for 120-h forecasts in areas of active cyclone development, with commensurate benefits for wind, temperature, and humidity fields. Whereas impacts on surface fields are found locally in the vicinity of cyclone activity, large-scale improvements in the mid-to-upper troposphere are found with positive global implications for forecast skill. Moreover, coupling is found to produce fairly constant reductions in standard deviation error growth for forecast days 1–7 of about 5% over the northern extratropics in July and August and 15% over the tropics in January and February. To the authors’ knowledge, this is the first time a statistically significant positive impact of coupling has been shown in an operational global medium-range deterministic numerical weather prediction framework.

scholarly journals The impact of religious attendance on trust, volunteering, and cooperation: A cross-lagged panel analysis with individual fixed-effects

2021 ◽  
Author(s):  
Ozan Aksoy ◽  
Dingeman Wiertz
Keyword(s):  
Fixed Effects ◽  
Large Scale ◽  
Positive Impact ◽  
Religious Involvement ◽  
Religious Attendance ◽  
Religious Service ◽  
Religious Service Attendance ◽  
Reverse Causality ◽  
The Impact ◽  
Service Attendance

Does religious involvement make people more trusting, prosocial, and cooperative? In view of conflicting theories and mixed prior evidence, we subject this question to a stringent test using large-scale, representative panel data from the British Household Panel Survey (1991-2009, N ≈ 26,000) and the UK Household Longitudinal Study (2009-2019, N ≈ 77,000). We employ cross-lagged panel models with individual fixed effects to account for time-invariant confounders and reverse causality as two issues that have haunted earlier research. We find that religious involvement, measured by frequency of religious service attendance, on average has a positive impact on generalized trust, volunteering, and cooperation. Compared with religious attendance, other indicators of religious involvement, such as subjective importance of religion or whether one is religiously affiliated, have weaker effects on trust, volunteering, and cooperation. We also document substantial variation across religious traditions: the effects of religious attendance are strongest for Anglicans and other Protestants, but weaker and mostly statistically insignificant for Catholics, Hindus, and the nonreligious, while for Muslims we observe a negative effect of religious attendance on cooperation. Our findings are robust to the inclusion of potential confounders and a range of alternative model set-ups. Our study thus shows that religious involvement can indeed foster prosocial behaviours and attitudes, although this effect is in the current study context mostly restricted to religious service attendance and majority religions.

scholarly journals A Long-term Spatial and Temporal Analysis of NDVI Changes in Java Island Using Google Earth Engine

2021 ◽  
Vol 936 (1) ◽  
pp. 012038
Author(s):  
Benedict ◽  
Lalu Muhamad Jaelani
Keyword(s):  
Vegetation Cover ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Image Data ◽  
Temporal Analysis ◽  
Google Earth ◽  
Vegetation Density ◽  
Angle Sensor ◽  
Study Results ◽  
Google Earth Engine

Abstract Java is Indonesia’s and the world’s most populous island. The increase in population on the island of Java reduces the area of forest and other vegetation covers. Landslides, floods, and other natural disasters are caused by reduced vegetation cover. Furthermore, it has the potential to lead to the extinction of flora and fauna. The Normalized Difference Vegetation Index (NDVI) can be used to monitor the vegetation cover. This study analyzes the NDVI changes value from 2005 to 2020 using Terra and Aqua MODIS image data processed using Google Earth Engine. Processing was carried out in some stages: down-setting, performing NDVI processing, calculating monthly average NDVI, calculating annual average NDVI, and analyzing. From the study results, the NDVI value of Terra and Aqua MODIS data has a solid but imperfect correlation coefficient due to differences in orbital time which causes differences in solar zenith angle, sensor viewing angle, and azimuth angle. Then from this study, it was found that overall, changes in vegetation density cover on the island of Java decreased, which was indicated by the NDVI decline rate of -0.00047/year. The most significant decrease in NDVI value occurred in the period 2015–2016, covering an area of 13994.630 km2, and the most significant increase in NDVI occurred in the period 2010–2011, covering an area of 2256.101 km2.

scholarly journals Cartographie De L’état Du Couvert Végétal Du Nord De La Côte D’ivoire À Partir D’images Satellites: Exemple De La Zone De Korhogo

2016 ◽  
Vol 12 (29) ◽  
pp. 204
Author(s):  
Avy StéphaneKoff ◽  
Abderrahman Ait Fora ◽  
Hicham Elbelrhiti
Keyword(s):  
Cote D'ivoire ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Côte D’Ivoire ◽  
Normalized Difference Vegetation Index ◽  
Satellite Image ◽  
The State ◽  
Cote D’Ivoire ◽  
Côte D'ivoire ◽  
Landsat Satellite

The purpose of this study is to determine the state of the vegetation cover in the region of Korhogo through remote sensing. Nowadays, the problem of desertification in the Sahel is serious. This could be explained by the phenomenon of climate change. We want to map the state of the vegetation cover in the study area. This study therefore focuses on the state of the vegetation cover in the region of Korhogo in northern Côte d’Ivoire. We will use one Landsat satellite image from December 16th 2000 and proceed with image processing. Processing techniques by the normalized difference vegetation index, the index armor and colorful composition 472. After these treatments in our pictures, we observe the behavior of vegetation. We can then get an overview of the vegetation in this area.

scholarly journals Do City Size and Population Density Influence Regional Innovation Output Evidence from China?

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Cai Shukai ◽  
Wang Haochen ◽  
Zhou Xiaohong
Keyword(s):  
Population Density ◽  
Large Scale ◽  
Positive Impact ◽  
Threshold Value ◽  
Threshold Effect ◽  
The Other ◽  
City Size ◽  
Regional Innovation ◽  
Innovation Output ◽  
The Impact

This paper proposed a substantial gap to a large-scale population density and city size on regional innovation output. To measure the impact of population density and city size on regional innovation output, this study employs the threshold effect model with panel data of 230 prefectures and cities from 2007 to 2016. Based on the econometric analysis, the results exhibit a positive and significant relationship between population density, city size, and innovation output. This correlation suggests that when one factor increases, the other increases in the parallel direction and vice versa. Moreover, when the city size expands the threshold value of 2.934 percent, the innovation promotes and increases the effects of urban-scale expansion. On the other hand, for medium- and low-density cities, the increase of urban population density has a significant and positive impact on urban innovation output. However, for high-density cities, the increase of population density has no significant impact on innovation output.

The impact of the institutional environment on green consumption in India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Naman Sreen ◽  
Rambalak Yadav ◽  
Sushant Kumar ◽  
Mark Gleim
Keyword(s):  
Large Scale ◽  
Online Survey ◽  
Survey Methodology ◽  
Institutional Environment ◽  
Positive Impact ◽  
Theoretical Perspective ◽  
Institutional Framework ◽  
Content Type ◽  
Green Consumption ◽  
The Impact

Purpose This paper aims to develop an institutional framework to examine the role of governmental and social pressures on green product purchase intentions. Because of the increased focus on environmental issues in emerging markets, an examination of the institutional environment in India can provide unique insights into the drivers of green consumption. Design/methodology/approach A large-scale data collection is conducted via an online survey to test the validity of the theorized model. A survey methodology is used to collect responses from a sample of 400 consumers in India and analyzed via Smart PLS 3.0. Findings The findings suggest moral norms, injunctive and descriptive, have varying influences on consumers. Further, governmental influence, at least in India, may not have a positive impact one would expect. The results indicate the institutional framework developed in this research has a good predictive ability in green marketing settings and offers insights for businesses and policymakers to enhance consumers’ motivations to purchase green products. Originality/value From a theoretical perspective, this research is the first to examine the institutional environment on green consumption in India and provides unique insights into the influences of green consumption. The results suggest the institutional environment in India presents unique opportunities for practitioners and policymakers.

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